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  • Brands Must Amplify Simplicity To Be Heard – Advertise

    Brands Must Amplify Simplicity To Be Heard – Advertise

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    Brands Must Amplify Simplicity To Be Heard

    The modern digital age exposes consumers to unprecedented levels of information, with much of it coming from brands and businesses. In 1980, 25 years before the advent of the smartphone, Americans were exposed to the equivalent of 10 gigabytes of data per day. 28 years later, in 2008, the human hard drive processed 34 gigs of daily data. Today, Americans absorb roughly 74 gigabytes of information every single day, the equivalent of nine DVDs worth of data. If this trend continues, we’ll soon need to find ways to consume more than 24 hours of media every 24 hours.

    In today’s world of multitasking and constant streaming, businesses must compete to be the dominant stream. However, this runs the risk of overwhelming already overclocked consumers at cognitive capacity who, exposed to roughly 500 different marketing messages daily, are having Brandwidth Issues.

    But Americans aren’t blind to the fact that we’re reaching critical mass. According to the 2017 U.S. MONITOR, more than three-quarters of all Americans want to simplify things in their lives. 60% of Centennials feel overwhelmed with the amount of information they deal with on a daily basis. As the preferences and expectations of digital natives and dependents define the market, the sense of being overwhelmed will likely only increase.

    The resulting paradox of choice—that too many options leads to fewer choices—is a problem for businesses, and means that despite the ever-increasing amount of content we create for consumers, they process and consume less and less. It also creates the desire for consumers to control the amount of content they see, namely from digital advertisements. It’s no coincidence that the increasing number of marketing messages occurs in lockstep with increasing ad-blocker usage. One estimate suggests that 64% of U.S. consumers ages 18-24 use ad blockers on their desktop, mobile or both.

    Moving From Noise To Signal

    So how do we as businesses connect with consumers who deal with Brandwidth Issues? One strategy is to offer radical simplicity, helping consumers simplify their lives rather than add to the wealth of information that burdens them. Packaging and messaging that is simple, yet finds the sweet spot between just enough and too much information will help businesses stand out among the competition and win in the attention economy and avoid potential reflexive dismissal of their brands.

    Another strategy is to avoid interruptive ads in favor of contextual advertising so your brand or businesses isn’t associated with the “Skip Ad” reflex. Some brands, like McDonald’s have experimented with de-branding their advertising entirely, like this spot with Mindy Kaling asking people to search Google for “that place where Coke tastes so good.” All of these strategies operate under the assumption that adding to the noise isn’t a sound growth strategy in today’s marketplace, but meaningfully connecting with consumers is still possible even in a crowded environment.

    The Blake Project Helps Brands In All Stages Of Development: Get actionable guidance from experts on Brand Differentiation, Growth and Purpose strategy.

    Branding Strategy Insider is a service of The Blake Project: A strategic brand consultancy specializing in Brand Research, Brand Strategy, Brand Growth and Brand Education

    FREE Publications And Resources For Marketers

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  • [Case Study] Adult Nutra on Push.House Like a Pro – AffiliateMarketing

    [Case Study] Adult Nutra on Push.House Like a Pro – AffiliateMarketing

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    This case study is the second article in a two-part series for Push.House.

    Related Content: Push House Review

    Read on to discover how to dominate the Push market and how to optimize your ads for maximum profit.

    If you haven’t yet read the first article in the series, which includes a detailed review of the network, you can do that here: Push House Review.

    Campaign #1 – Single Offer

    Offer Type: Adult Nutra

    Targeting Region: TH

    CPC: $0.002

    Ad Format: Push

    OS: Mobile

    Are you ready to dominate the push market?

    If yes, then follow along with this case study as we go through the basics of setting up and optimizing a campaign in Push.House.

    If you are new to Push.House and don’t yet know what it is, check our review here.

    Push notification ads are a cheap and high-converting ad format, that’s easy to set up and will funnel green bills straight into your pocket – if you use them the right way.

    So let’s look at the right way to use Push ads to give you the best returns!

    Just to give you some background, check out these statistics for the following campaign:

    Campaign Period: March 7th to April 3rd, 2021

    Overall Impressions: 325 925 047

    Overall Clicks: 456 295

    Overall Sales: 71

    CTR: 0.14%

    Total Spend: $912.59

    Total Revenue Earned: $2059

    Total Profit Generated: $1,146.41

    Return on Investment (ROI): 125.62%

    We got these numbers in a very short time, with minimum effort.

    For this campaign, the chosen country was Thailand, as it’s a GEO with tons of traffic and high payouts that we all love so much.

    As for the creatives, we kept it simple and didn’t overthink it too much.

    Examples:

    Then, we chose a suitable offer, that we know converts like crazy for our target audience.

    Note: Ask your AM at the affiliate or ad network for creative suggestions in case you don’t have any.

    1. Optimization

    If you haven’t done so already, now’s a good time to read our review of Push.House in order to understand all the optimization steps.

    If you wanna give that a quick read and then come back here, you’ll have a better grasp of what we’re doing.

    The whole process of optimization wasn’t particularly difficult. I launched the campaign with the minimum allowed CPC for this GEO, which is just $0.002. We never changed the starting bid as we were satisfied with the quality of traffic.

    2. Scheduling

    The first important thing we did was to stop the campaign when the call center is unavailable. This differs from one offer to another and from one call center to another, but for this specific offer, it just seemed like the best idea.

    To do this, click on “Edit Campaign” and scroll down until you see the “Campaign Schedule” section:

    campaign scheduling

    You might wonder why I chose this scheduling pattern. Allow me to explain.

    Note that under the timetable it says “Show time by UTC +2”. This means that the scheduling in Push.House schedules according to the UTC +2 time zone. With a bit of Googling you can find out that it’s a very different timezone from the one used in Thailand, which is GMT+7. This is a 5 hour time difference, and you need to keep that in mind or else this could cost you some unexpected expenses.

    CPC and Experiments with Traffic Segments

    In Push.House, the traffic is segmented by subscription age, meaning that you can select what segment of traffic you want to target.

    Here’s how that works in Push.House:

    0-3 days: This is the most expensive segment. Here you can find the freshest subscribers, who have not abused by an ungodly amount of ads. This gives this group a higher chance of converting. The minimum CPC for this segment is 250% of the normal price for your GEO. In our case, the normal minimal CPC for Thailand is $0.002, so $0.005 if you wanna target the freshest users.

    4-7 days: This segment is a bit older but is still converts well. The minimum CPC value here is double – or 200% – of the original.

    8-14 days: This section has subscribers who are over a week old – which is still considerably newer than most competitors’ databases. The minimum CPC value here is 175% of the original.

    15-30 days: This is the final segment by subscription age. Some of the subscribers here may have been here for as long as a month. The CPC value is 150% of the original.

    All: This segment is considered to be the default and cheapest option. Don’t be fooled! The traffic quality here is not at all bad and can convert extremely well for the right offers. The proof is the huge ROI we got from our campaign!

    Blacklisting

    One of the biggest challenges for affiliates is creating a blacklist of sites while their campaign is still running.

    You’ll find that many sites will still give you conversions that covered your expenses. Because of this, we had to wait for more than a week before blacklisting the low-performing sites.

    This is very easy to do with Push.House. At the very bottom of the “Edit Campaign” page in the “Audience” section, you will find two columns that work together to create a blacklist.

    campaign blacklist example

    Set the Type ID to Blacklist as it’s shown in the screenshot above.

    Now you can put all low-performing platforms into the Site ID list next to it, comma-separated.

    This is all it took for us to make $1k+ profit, in a little less than a month!

    So make sure you give Push.House a try to get that insane ROI on your own campaigns.

    Campaign #2 – Smartlink

    Offer Type: Adult Dating Smartlink

    Targeting Region: RU

    CPC: 0.018/0.009

    Ad Format: Classic Push

    Advertisement

    OS: Mobile and Desktop

    We tried Push.House with Nutra, and now we wanted to see how good it will be with dating offers.

    The dating vertical is well known for having high conversion rates. This is because most of the time it requires very little input from the user. A first page sign-up could get you instant commission if the offer is SOI (Single Opt-In).

    If you don’t know what Single Opt-In is, check the affiliate marketing glossary.

    What more could you ask for?

    So let’s see if we can entice all the Russian singles to meet their significant others!

    Campaign Period: March 21st to March 28th, 2021

    Overall Impressions: 18 340 740

    Overall Clicks: 14 856

    Overall Sales: 904

    CTR: $0.08%

    Total Spend: $267.4

    Total Revenue Earned: $723.2

    Total Profit Generated: $455.80

    Return on Investment (ROI): 170.46%

    For adult dating, the best practice is to target men. That’s why the creative we chose resembles a chat head from a beautiful female.

    Each GEO has its preferences when it comes to types of women. Just Google what type of porn each country watches most to get an idea of this.

    Some GEOs like women in their 30s, some prefer them younger.

    Some go for tanned girls, others for snow whites. Do your research so you can best target your GEO.

    Another method is to use images of girls that match the type of girls in the GEO you wanna target.

    These are common practices for affiliates who run dating offers.

    However, for this campaign, we did something a bit different.

    We used a picture within a dirty context and a huge call-to-action text in the middle.

    Targeting Different Devices

    We discovered something very interesting during our work with this dating offer.

    Each campaign in Push.House has only one ad. This means that you can not have more than one ad in the same campaign. So, if you wanna launch the same ad with different targeting, and a slightly different creative, you have to duplicate your campaign and make changes to the duplicated campaign.

    We wanted to launch the same ad for both mobile and desktop devices, but we wanted to slightly change the creative because the push notification displays differently on mobile and desktop.

    When both campaigns were created we noticed that the CPC of the desktop traffic was 50% cheaper than the CPC of the mobile traffic!

    This turned out to be a little gem, as it significantly helped spread the budget.

    Add to this that the payout for desktop users is usually higher for dating offers because they don’t usually sign up as much as mobile users.

    We believe that the Push.House Team kept this in mind, so they made the costs lower in order for their advertisers to be able to profit even more!

    Remember though, if you target ALL devices in your campaign you will be billed for the higher CPC, which will be mobile if you target both devices at once. To avoid this always separate the devices to pay less!

    CPC and bidding

    For this campaign, we didn’t change the initial bid, as it was quite high already. We also chose not to target any specific traffic segments. We ran the campaign for a week – which is more than enough time for one creative in push traffic.

    If you see a setback in your CR (Conversion Rate) after some time, make sure you change the creative, as they get spent over time, and people do not click on them anymore.

    Keep your creatives fresh and you will always get those sweet conversions!

    Optimization and Blacklists

    With Dating offers, it’s a lot easier to create a blacklist, as you can see which platforms perform poorly very quickly.

    Lose the low-performing sites fast, as the payout for these is quite small.

    We were able to create a pretty decent blacklist after just a couple of days, and managed to get a good ROI by the end of the first day!

    That’s it!

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  • G2 + Medallia Partnership Makes User Feedback Simple and Secure – Business

    G2 + Medallia Partnership Makes User Feedback Simple and Secure – Business

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    Traditional routes of collecting feedback require third-party tools and multiple accounts, but in today’s age, companies cannot afford to sacrifice their customer data security and user experience. Luckily, Medallia helps solve this problem with its top-to-bottom customer sentiment and feedback platform. 

    Today, G2 is pleased to announce the launch of a new partnership with Medallia. Medallia customers can now collect G2 Reviews with strategically timed and targeted in-app prompts.

    About G2 Reviews + Medallia

    The G2 Reviews + Medallia integration enables you to safely solicit authentic and comprehensive in-app user feedback. Companies using this integration can now:

    • Capture G2 Reviews without sharing customer information with G2
    • Solicit feedback securely without taking users out of your brand experience
    • Utilize helpful user feedback across all departments
    • Create a consistent, review collection engine
    • Mitigate outside influences to ensure reviews are focused on your product

    About Medallia

    Medallia is a customer feedback management software platform that enables companies to improve the customer experience. The platform works to provide personalized and predictive insights that can drive action and results. 

    Medallia captures feedback signals from various sources, including in-person, digital channels, social media, and IoT interactions. The platform puts this data through artificial intelligence and machine learning engines to analyze customer sentiment and provide companies with topics and themes they can act on. 

    Companies can use this always-on tool to solicit feedback from users without needing to leave their app.

    How the G2 Reviews + Medallia integration works

    With the G2 Reviews + Medallia integration, companies can create workflows in their native apps to request G2 Reviews from specific user segments. 

    The process is simple: Medallia serves up different notifications and requests while customers are using your app. With this integration, one of the requests can prompt users to leave a G2 Review. 

    The user can then complete a G2 Review without having to leave your app or find your G2 profile on their own. Like all other G2 Reviews, the review is submitted to G2.com and published once approved.

    medallia-integration-generate-more-reviews@2x

    Better customer insights 

    G2 Reviews ask customers questions aimed at providing companies with insights to inform every stage of business, from roadmap to retention. This provides all departments in your organization with the valuable information they need to drive adoption, retain key accounts, and identify opportunities for expansion. 

    The G2 Reviews + Medallia integration solicits feedback from users while they are using the product. This helps ensure more comprehensive and insightful user reviews that can influence business strategies across all departments.

    And since users are much more likely to provide feedback when solicited in-app compared to being asked to take the same action elsewhere, it’s a win-win for both you and the user. 

    Consistent feedback collection

    With the ability to customize who receives prompts, Medallia gives you the power to only solicit your most engaged app users to leave a G2 Review. This means you can target review collection from actual users on a consistent basis over the life of your app — driving higher conversion rates, and higher quality feedback. 

    By only soliciting reviews from regular app users, Medallia can help you gain insightful feedback that is both fresh and accurate.

    Aubyn Casady, Principal Product Marketing Manager at G2, says organizations can ensure fresh and accurate feedback by soliciting regular app users with this integration. Casady explains, “Finally, Medallia and G2 have partnered to create a solution that makes review collection convenient for everyone, and most importantly, the user. This integration removes the cumbersome steps of creating accounts on multiple platforms and driving traffic to third-party review platforms.”

    “You can simply meet your users right where they already are: your app.”

    Aubyn Casady
    Principal Product Marketing Manager at G2

    Increased security for customers

    Collecting reviews from your users while they’re in-app is the most effective and secure way to capture candid customer feedback influenced by the experience that matters most: using your product. 

    This means you no longer have to sacrifice user experience or risk third-party security issues just to collect customer sentiment. Soliciting reviews in-app also mitigates outside influences from compromising your user feedback, bringing you as close to truly understanding your customer sentiment as possible.

    Don’t sacrifice security for user reviews

    Medallia + G2 Reviews will help you streamline your review collection strategy while making it easy for your customers to submit feedback. This integration allows you to consistently capture quality feedback with strategically timed and targeted in-app prompts. 

    Deliver the user experience your customers expect while capturing the feedback you need. Get started with G2 Reviews + Medallia today.

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  • Conceptual Differences Between SSF and PA-DSS – Cyber Security

    Conceptual Differences Between SSF and PA-DSS – Cyber Security

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    To assist stakeholders in their migration from PA-DSS to the Software Security Framework, PCI Security Standards Council (PCI SSC) is publishing a series of blog posts to guide payment software vendors and assessors through the key differences between PA-DSS and the SSF. In Part One of our multi-part blog series, PCI SSC’s Sr. Manager, Public Relations Alicia Malone sits down with PCI SSC’s Sr. Manager, Emerging Standards Jake Marcinko to discuss some of the conceptual differences between PA-DSS and the Software Security Framework that stakeholders should be aware of as they work to transition between programs.

    What is the PCI Software Security Framework?

    Jake Marcinko: The PCI Software Security Framework (SSF) is a collection of security standards and associated validation and listing programs for promoting software security in the payments industry. The SSF is comprised of the Secure Software Standard and the Secure Software Lifecycle (Secure SLC) Standard.

    The Secure Software Standard defines the security features and attributes that payment software must possess, and the Secure SLC Standard defines the security processes and capabilities that a software vendor must have in place to ensure its software is developed securely.

    The SSF replaces the PCI Payment Application Data Security Standard (PA-DSS) which is being retired in October 2022.

    Why was the Software Security Framework created and why is PA-DSS being retired?

    Jake Marcinko: PA-DSS was one of the first standards and programs of its kind. It laid the groundwork for software security in the payments industry, and it has served the payment industry’s needs for over 10 years. Those needs, however, have evolved to the point that it no longer made sense to make incremental changes to an aging standard and program. A new approach was needed to support modern payment software architectures and software development methodologies, and to protect payment software from increasingly complex software attacks.

    What benefits does the Software Security Framework provide over PA-DSS?

    Jake Marcinko: The SSF builds on many of the concepts introduced in PA-DSS but is designed to provide both software vendors and assessors a more dynamic, faster-to-market approach to security validation for a broader array of software types compared to PA-DSS.

    In PA-DSS, the scope of software eligible for validation and listing was limited to software that facilitates payment authorization. Under the SSF, the eligibility criteria for software validation has been expanded to include software providing additional functions such as fraud monitoring or cardholder authentication. Additionally, by separating software requirements and vendor requirements into different standards, vendors who produce software that is ineligible for validation to the Secure Software Standard are able to demonstrate good software security hygiene through independent Secure SLC validation.

    PCI SSC recommends that software vendors with eligible payment software products have both their software development lifecycle (SDLC) practices and payment software validated to the respective SSF standards. Validating to both standards not only demonstrates that a vendor’s payment software is secure upon validation, but also demonstrates greater assurance that the software will remain secure throughout its lifetime. To encourage validation to both standards and to support faster time-to-market strategies, the SSF provides a more streamlined listing management process to Secure SLC qualified software vendors with validated payment software. This process enables qualified software vendors to manage and publish updates to their validated payment software listings more quickly than previously supported under PA-DSS.

    More information on these and other benefits can be found in the respective Program Guides under the Software Security section of the PCI SSC Document Library.

    What are ‘objective-based’ requirements in the Software Security Framework and how are they different from PA-DSS requirements?

    Jake Marcinko: PA-DSS requirements specify the practices and security controls that must be implemented to meet a particular security objective. The SSF supports a newer approach among PCI security standards, including the PCI 3-D Secure (3DS) security standards and the Customized Approach in PCI DSS version 4.0, where security requirements are expressed as security objectives that provide greater flexibility in how requirements are met. This approach is referred to as ‘objective-based’ and recognizes that there are often many different ways to satisfy a particular security objective.

    How does the objective-based approach provide software vendors more flexibility?

    Jake Marcinko: The objective-based approach enables software vendors to choose the practices and methods that best meet the security objectives given the entity’s unique business requirements and capabilities, rather than having to implement the specific practices and methods stipulated in more prescriptive security standards such as PA-DSS.

    For example, where PA-DSS requires the use of specific password complexity parameters such as minimum length and composition, the corresponding control objective in the Secure Software Standard requires that authentication methods be ‘sufficiently strong and robust to protect authentication credentials from being forged, spoofed, leaked, guessed, or circumvented’ in accordance with industry-accepted methods. This enables software vendors to choose which industry-accepted authentication methods to implement to meet the control objective rather than having to implement the password complexity parameters stipulated in PA-DSS.

    How does the objective-based approach benefit security assessors?

    Jake Marcinko: The testing procedures in PA-DSS specify the verification methods that assessors are required to use to validate security requirements, with limited flexibility. The SSF permits assessors to deviate somewhat from the methods stated in the test requirements where necessary. This is referred to as ‘alternative testing’ and it permits assessors to use alternative verification methods if the stated methods aren’t sufficient to properly validate the control objectives.

    For example, many SSF test requirements require examination of software vendor documentation and evidence to validate control objectives. In certain circumstances, it may be more appropriate to validate a control objective using interviews or other assessor-provided tools. Under the SSF, assessors are permitted to use such verification methods even if those verification methods aren’t explicitly stated in the test requirement. This provides assessors greater flexibility in determining how best to confirm control objectives have been met. The use of alternative testing does not allow assessors or software vendors to change what the test requirement is verifying, or to reduce the thoroughness of the testing.

    How does the Software Security Framework’s support for PCI DSS differ from PA-DSS?

    Jake Marcinko: PA-DSS was developed explicitly to facilitate PCI DSS compliance for entities implementing payment applications in a cardholder data environment. The SSF was developed with broader applicability in mind and covers a broader range of security topics and data assets than PA-DSS and PCI DSS. The SSF is also intended to apply to payment software and software vendors regardless of whether PCI DSS applies to the environment in which the payment software is deployed.

    For these reasons, the security requirements in the SSF standards do not map directly to PCI DSS requirements like the PA-DSS requirements do. With that said, the SSF security standards still support an entity’s PCI DSS compliance by enabling entities who use qualified software vendors and/or validated payment software to potentially meet some PCI DSS requirements without the need for additional detailed testing.

    For example, bespoke or custom software provided by a Secure SLC qualified software vendor is confirmed to have been developed in accordance with a rigorous set of secure software development best practices. The use of such software by a merchant or service provider (who may also be the Secure SLC qualified software vendor) may satisfy a number of sub-requirements under PCI DSS Requirement 6 without the need to have those sub-requirements retested by a QSA.

    Similarly, payment software that has been validated to the Secure Software Standard is confirmed to possess robust sensitive data protection mechanisms. Use of such software by a merchant or service provider may satisfy corresponding requirements in PCI DSS for the protection of cardholder data and authentication credentials during storage and transmission.

    Entities anticipating the publication of PCI DSS v4.0 should expect even greater alignment between PCI DSS and the SSF standards with the introduction of the Customized Approach. Please refer to the PCI SSC website for more information on PCI DSS v4.0.

    How will the differences between PA-DSS and the Software Security Framework impact vendors of currently validated PA-DSS applications?

    Jake Marcinko: It is possible that some vendors with PA-DSS validated applications may need to upgrade their software or software development practices to meet applicable SSF requirements. This isn’t intended to undermine the value that PA-DSS validation has provided over the years. Given the increasing complexity of modern software and the sophistication of modern software attacks, the SSF standards contain additional requirements that weren’t included in PA-DSS.

    PCI SSC recognizes that there are a number of important differences between PA-DSS and the SSF, and a lot of information about the Secure Software and Secure SLC standards and programs that stakeholders must absorb. To assist with the transition between PA-DSS and SSF, PCI SSC is offering informational training classes for software vendors; details can be found in the Training and Qualification section of the PCI SSC website. Software vendors with validated PA-DSS applications are also encouraged to start working with a qualified SSF assessor company to help understand the differences and to begin the transition to SSF before PA-DSS is retired in October 2022.

    Coming Soon: In Part Two of this blog series, we will discuss some of the key technical differences between PA-DSS and the SSF, including what critical assets are and why they are important; how cryptography and data storage requirements are different; and how the concept of the PA-DSS Implementation Guide has evolved. If you have any questions or topics related to the PA-DSS to SSF transition that you would like us to clarify in guidance, please forward those to software@pcisecuritystandards.org

    Read more about the Software Security Framework.

    Sign up for Informational Training today!

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  • Increase Your ROI With Push & Pop – AffiliateMarketing

    Increase Your ROI With Push & Pop – AffiliateMarketing

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    Why RollerAds?

    RollerAds is a self-service, high-performance ad network with worldwide coverage and some powerful in-house optimization tools.

    With 10K+ direct publishers, 1.2B+ daily impressions and 2.5M daily clicks, RollerAds has some impressive stats.

    The ad network uses the CPC (cost-per-click) pricing model for push ads and CPM for Onclick, with a minimum click value of just $0.001 – although you may want to bid higher for best results, especially in Tier 1 Geos.

    In addition to Push, RollerAds offers the On-Click ad format. This is a Popunder ad format that you can choose from the advertiser panel when creating your campaigns.

    They also have some neat campaign and targeting tools to target your audience effectively, which we’ll look at in just a moment.

    Read on to find out more about how to use RollerAds to find untapped traffic sources, boost your ROI, and find highly engaged audiences for your offers from just $0.001 per click.

    Creating Your Account on RollerAds

    Go ahead and click the Sign Up button on the top navigation bar of the home page. This will take you to a form where you can register as an advertiser on RollerAds.

    Exclusive for Mobidea Academy readers: RollerAds Coupon – 15% Extra Balance

    rollerads sign up page

    Simply fill out the details, click the verification link sent to your email, and login to the platform.

    One of the cool things about RollerAds is that they’ve included a useful help video for new users. We recommend watching this to get an idea of how things work.

    This is only shown to new users who haven’t yet created a campaign, and will later be replaced by a summary of any campaigns you have created.

    You can also contact the support team via email, Skype, or Telegram if you need additional support.

    RollerAds Review: Dashboard

    One of the things I immediately liked about the interface is the clean layout. It’s very clear, direct, and noticeably void of any clutter that might otherwise confuse a new user.

    It’s easy to navigate and important data, such as your user profile and account balance, can be seen at a glance.

    rollerads dashboard

    You can manage your account using the left-hand sidebar menu.

    This is arranged as follows:

    Campaigns – This shows a list of any campaigns you have created, along with a summary of their performance.

    Create Campaign – Create campaigns using the On-Click or Push notification ad format.

    Reports – View detailed reports from your campaigns in real-time. You can group results by campaign and targeting options, and filter by zones, feeds, and more. Reports can be exported as a CSV file to use elsewhere.

    Tracking – RollerAds has decent tracking, along with the ability to test conversion tracking and easy integration with all major trackers.

    Finance – There are multiple ways to fund your account, including Credit Card, Wire Transfer, WebMoney, Paypal, Payoneer, and Bitcoin. The minimum deposit amount is just $50. You can also set up email balance notifications and auto-recharge from this tab.

    Profile – Use this to set your personal details and preferred messaging medium. Options include Skype, Telegram, WhatsApp, and Facebook.

    Creating Your First Campaign

    RollerAds keeps things simple by having all the campaign creation tools on one page. To set up your campaign just follow the steps as they appear on the page for targeting, ad placement and budgeting.

    There’s also a preview window so you can check progress and review the details prior to submission.

    creating a new campain on rollerads

    Here’s the complete list of targeting options:

    General – You can set your campaign name and target URL here. There’s some useful macros here too which are as follows:

    • {campaignId}
    • {creativeId}
    • {zoneId}
    • {feedId}
    • {clickId}
    • {cost}
    • {device}
    • {browser}
    • {browserVersion}
    • {os}
    • {osVersion}
    • {country}
    • {countryName}
    • {isp}
    • {carrier}
    • {connectionType}
    • {UserAgent}
    • {ageGroup}
    • {format}

    You don’t have to use them all, but it’s recommended that you start with {campaignId}, {zoneId}, and {clickId} to help identify which ad channels are most profitable for your offers.

    Keep in mind that macros on RollerAds are case-sensitive, so it’s important to use the token as it appears on the screen.

    If you want, you can choose to have only premium quality here but this will raise the cost of your bid.

    Countries and Bid – Choose which Geo you want to target along with the bid. You can use the suggested bid feature here or use the rates shown on the CPC rates tab of the main site. This tab gives you a bit more info, including the Country, ISO code, Impressions, Clicks, and average CPC rate for the day. You can select cities or regions to include or exclude from your ad. Bids can be adjusted later at the campaign optimization stage.

    Carriers – Target users by Mobile ISP (Carriers) and connection type (Dialup, Cable/DSL, Cellular)

    Creatives – Add your title, description, and image for your creative. You can also use macros in your creatives. Available macros for both title and description are {city}, {City}, {country}, {Country}. It’s possible to clone your creatives to make an A/B test. This option isn’t available for On-Click campaigns.

    creative example 1 creative example 2

    Subscription Age – This allows you to target by the freshness of the user. Options are from 0 to 60+ days. User freshness will have an effect on bids and conversions.

    Browser – Browsers, versions, and languages can be set here

    OS Targeting – Select platform (Mobile, Tablet, Desktop) and OS (Windows, MacOS, Android). It is not currently possible to target iOS users with Push notification ads.

    Day and Time Targeting – Choose the times you want your ads to be active in the local time of the end-user.

    IP Targeting – Include or exclude IPs.

    Capping – Set the frequency cap for users per creative, per hour.

    Campaign Budget – Set the daily and total budget for the campaign.

    Advanced Settings – Here you can include or exclude Feed IDs and Zones.

    If you are creating an On-Click campaign you will notice some minor differences in the setup. These include CPM bids (instead of CPC) and the ability to target iOS. There’s also no need for creatives or to select the subscription age with Pop ads.

    When you are done, check the preview window.

    rollerads campaign preview

    One feature we love about RollerAds is the CPA optimization tool. Turn this on before starting your campaign to have RollerAds automagically disable low converting zones to help you reach your CPA target.

    rollerads cpa optimization tool

    Once you are happy with the settings, tick the quality guidelines checkbox and start your campaign.

    If you now check the campaign tab from earlier again you will see your live campaign. From here you can see the daily counters, including impressions, clicks, and conversions, CTR, CPA, eCPC, eCPM, and Cost. You can also clone, stop, start or archive your campaigns from the campaign tab.

    Simply click the campaign settings to make any changes to your ads. This is particularly useful for testing different options, such as desktop and mobile targeting.

    Clicking the stats icon will take you to the reporting page for the campaign ID.

    Campaigns Tracking With RollerAds

    RollerAds adds some neat tracking options to the platform that can be used with the S2S conversion tracking postback URL.

    This URL can be used with your tracker to give you more insights about your ads.

    This makes it easy to see which zones are performing best for your offers.

    You can then copy the ZoneID and exclude or include it from your campaign.

    Here’s an example of how a postback URL would look in Voluum (Read our Voluum review):

    Campaign link:

    https://youroffer.com/click.php?campaign_id={campaignId}&zone_id={zoneId}&externalid={clickId}

    Actual postback URL:

    https://eu.rollerads.com/conversion/{externalid}/aid/1066/0f0d5f3801623bb4

    Make sure to use your personal account when you are creating your tracking link.

    There’s also a convenient button to test the conversion tracking that you can use before activating your campaign.

    Once you see the notification message, “Conversion is registered” in the Conversion Tracking page, you’re good to go!

    Get in touch with the support team if you need any help with setting up conversion tracking.

    What Verticals Can You Run With RollerAds?

    There’s a bunch of verticals that work well with the Push and On-Click ad format.

    These include:

    • Sweepstakes
    • Finance
    • Dating
    • Software
    • Forex
    • Insurance
    • Loans
    • Crypto
    • eCommerce
    • Betting
    • Gambling
    • Nutra
    • Utilities
    • Extensions
    • Utilities
    • Push Subscriptions
    • PinSubmit
    • Media
    • Cinema & TV

    Let’s take sweepstakes as an example of how you can use RollerAds to make bank. These offers are easy to find, simple to set up, and have crazy high conversions.

    First, choose your offer and set up your campaign as shown in the first part of this article. We recommend signing up as a Mobidea affiliate and trying out some trending sweepstake offers.

    Next, create a pre-lander for your offer. This can be a quiz, spin-the-wheel, questionnaire, gift box, or similar, which work well with ‘Win an iPhone’ type offers.

    Finally, optimize your campaign by seeing which targeting options, zones, and creatives gave you the most conversions. You can see this from the reporting tab and your tracker. Adjust your bids and try different headlines and images for your creatives and landers at this stage to increase your ROI.

    Tip: Emojis can be fire when it comes to increasing user engagement with your creatives/pre-landers!

    Wrapping Up

    When it comes to Push and Pop ads, RollerAds is the real deal.

    The slick interface and campaign targeting options are backed up with impressive real-world stats that make RollerAds the perfect ad network for CPA affiliates.

    The in-house ad-tech used by the RollerAds helps protect against fraud and the results you can get from the platform speak for themselves.

    You’ll find everything from the campaign creation to tracking and the optimization process flows well, and no stone is left unturned!

    That said, if you do have any suggestions or need help with your ads, the support team is available to chat.

    Bonus for Mobidea readers: Once you create your account, speak to your account manager and mention the promo code MobideaRoller15 to get an extra 15% bonus on the first deposit! This bonus is only available for new advertisers.

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  • What Is Logistic Regression? Learn How to Use It – Business

    What Is Logistic Regression? Learn How to Use It – Business

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    Life is full of tough binary choices.

    Should I have that slice of pizza or not? Should I carry an umbrella or not?

    While some decisions can be rightly made by weighing the pros and cons – for example, it’s better not to eat a slice of pizza as it contains extra calories – some decisions may not be that easy.

    For instance, you can never be fully sure whether or not it’ll rain on a specific day. So the decision of whether or not to carry an umbrella is a tough one to make.

    To make the right choice, one requires predictive capabilities. This ability is highly lucrative and has numerous real-world applications, especially in computers. Computers love binary decisions. After all, they speak in binary code.

    Machine learning algorithms, more precisely the logistic regression algorithm, can help predict the likelihood of events by looking at historical data points. For example, it can predict whether an individual will win the election or whether it’ll rain today.

    If you’re wondering what regression analysis is, it’s a type of predictive modeling technique used to find the relationship between a dependent variable and one or more independent variables.

    An example of independent variables is the time spent studying and the time spent on Instagram. In this case, grades will be the dependent variable. This is because both the “time spent studying” and the “time spent on Instagram” would influence the grades; one positively and the other negatively.

    Logistic regression is a classification algorithm that predicts a binary outcome based on a series of independent variables. In the above example, this would mean predicting whether you would pass or fail a class. Of course, logistic regression can also be used to solve regression problems, but it’s mainly used for classification problems.

    Another example would be predicting whether a student will be accepted into a university. For that, multiple factors such as the SAT score, student’s grade point average, and the number of extracurricular activities will be considered. Using historical data about previous outcomes, the logistic regression algorithm will sort students into “accept” or “reject” categories.

    Logistic regression is also referred to as binomial logistic regression or binary logistic regression. If there are more than two classes of the response variable, it’s called multinomial logistic regression. Unsurprisingly, logistic regression was borrowed from statistics and is one of the most common binary classification algorithms in machine learning and data science.

    Did you know? An artificial neural network (ANN) representation can be seen as stacking together a large number of logistic regression classifiers.

    Logistic regression works by measuring the relationship between the dependent variable (what we want to predict) and one or more independent variables (the features). It does this by estimating the probabilities with the help of its underlying logistic function.

    Key terms in logistic regression

    Understanding the terminology is crucial to properly decipher the results of logistic regression. Knowing what specific terms mean will help you learn quickly if you’re new to statistics or machine learning.

    The following are some of the common terms used in regression analysis:

    • Variable: Any number, characteristic, or quantity that can be measured or counted. Age, speed, gender, and income are examples.
    • Coefficient: A number, usually an integer, multiplied by the variable that it accompanies. For example, in 12y, the number 12 is the coefficient.
    • EXP: Short form of exponential.
    • Outliers: Data points that significantly differ from the rest.
    • Estimator: An algorithm or formula that generates estimates of parameters.
    • Chi-squared test: Also called the chi-square test, it’s a hypothesis testing method to check whether the data is as expected.
    • Standard error: The approximate standard deviation of a statistical sample population.
    • Regularization: A method used for reducing the error and overfitting by fitting a function (appropriately) on the training data set.
    • Multicollinearity: Occurrence of intercorrelations between two or more independent variables.
    • Goodness of fit: Description of how well a statistical model fits a set of observations.
    • Odds ratio: Measure of the strength of association between two events.
    • Log-likelihood functions: Evaluates a statistical model’s goodness of fit.
    • Hosmer–Lemeshow test: A test that assesses whether the observed event rates match the expected event rates.

    What is a logistic function?

    Logistic regression is named after the function used at its heart, the logistic function. Statisticians initially used it to describe the properties of population growth. Sigmoid function and logit function are some variations of the logistic function. Logit function is the inverse of the standard logistic function.

    logistic function

    In effect, it’s an S-shaped curve capable of taking any real number and mapping it into a value between 0 and 1, but never precisely at those limits. It’s represented by the equation:

    f(x) = L / 1 + e^-k(x – x0)

    In this equation:

    • f(X) is the output of the function
    • L is the curve’s maximum value
    • e is the base of the natural logarithms
    • k is the steepness of the curve
    • x is the real number
    • x0 is the x values of the sigmoid midpoint

    If the predicted value is a considerable negative value, it’s considered close to zero. On the other hand, if the predicted value is a significant positive value, it’s considered close to one.

    Logistic regression is represented similar to how linear regression is defined using the equation of a straight line. A notable difference from linear regression is that the output will be a binary value (0 or 1) rather than a numerical value.

    Here’s an example of a logistic regression equation:

    y = e^(b0 + b1*x) / (1 + e^(b0 + b1*x))

    In this equation:

    • y is the predicted value (or the output)
    • b0 is the bias (or the intercept term)
    • b1 is the coefficient for the input
    • x is the predictor variable (or the input)

    The dependent variable generally follows the Bernoulli distribution. The values of the coefficients are estimated using maximum likelihood estimation (MLE),  gradient descent, and stochastic gradient descent.

    As with other classification algorithms like the k-nearest neighbors, a confusion matrix is used to evaluate the accuracy of the logistic regression algorithm.

    Did you know? Logistic regression is a part of a larger family of generalized linear models (GLMs).

    Just like evaluating the performance of a classifier, it’s equally important to know why the model classified an observation in a particular way. In other words, we need the classifier’s decision to be interpretable.

    Although interpretability isn’t easy to define, its primary intent is that humans should know why an algorithm made a particular decision. In the case of logistic regression, it can be combined with statistical tests like the Wald test or the likelihood ratio test for interpretability.

    When to use logistic regression

    Logistic regression is applied to predict the categorical dependent variable. In other words, it’s used when the prediction is categorical, for example, yes or no, true or false, 0 or 1. The predicted probability or output of logistic regression can be either one of them, and there’s no middle ground.

    In the case of predictor variables, they can be part of any of the following categories:

    • Continuous data: Data that can be measured on an infinite scale. It can take any value between two numbers. Examples are weight in pounds or temperature in Fahrenheit.
    • Discrete, nominal data: Data that fits into named categories. A quick example is hair color: blond,  black, or brown.
    • Discrete, ordinal data: Data that fits into some form of order on a scale. An example is telling how satisfied you’re with a product or service on a scale of one to five.

    Logistic regression analysis is valuable for predicting the likelihood of an event. It helps determine the probabilities between any two classes.

    In a nutshell, by looking at historical data, logistic regression can predict whether:

    • An email is a spam
    • It’ll rain today
    • A tumor is fatal
    • An individual will purchase a car
    • An online transaction is fraudulent
    • A contestant will win an election
    • A group of users will buy a product
    • An insurance policyholder will expire before the policy term expires
    • A promotional email receiver is a responder or non-responder

    In essence, logistic regression helps solve probability and classification problems. In other words, you can expect only classification and probability outcomes from logistic regression.

    For example, it can be used to determine the probability of something being “true or false” and also for deciding between two outcomes like “yes or no”.

    A logistic regression model can also help classify data for extract, transform, and load (ETL) operations. Logistic regression shouldn’t be used if the number of observations is less than the number of features. Otherwise, it may lead to overfitting.

    Linear regression vs. logistic regression

    While logistic regression predicts the categorical variable for one or more independent variables, linear regression predicts the continuous variable. In other words, logistic regression provides a constant output, whereas linear regression offers a continuous output.

    Since the outcome is continuous in linear regression, there are infinite possible values for the outcome. But for logistic regression, the number of possible outcome values is limited.

    In linear regression, the dependent and independent variables should be linearly related. In the case of logistic regression, the independent variables should be linearly related to the log odds (log (p/(1-p)).

    Tip: Logistic regression can be implemented in any programming language used for data analysis, such as R, Python, Java, and MATLAB.

    While linear regression is estimated using the ordinary least squares method, logistic regression is estimated using the maximum likelihood estimation approach.

    Both logistic and linear regression are supervised machine learning algorithms and the two main types of regression analysis. While logistic regression is used to solve classification problems, linear regression is primarily used for regression problems.

    Going back to the example of time spent studying, linear regression and logistic regression can predict different things. Logistic regression can help predict whether the student passed an exam or not. In contrast, linear regression can predict the student’s score.

    Logistic regression assumptions

    While using logistic regression, we make a few assumptions. Assumptions are integral to correctly use logistic regression for making predictions and solving classification problems.

    The following are the main assumptions of logistic regression:

    • There is little to no multicollinearity between the independent variables.
    • The independent variables are linearly related to the log odds (log (p/(1-p)).
    • The dependent variable is dichotomous or binary; it fits into two distinct categories. This applies to only binary logistic regression, which is discussed later.
    • There are no non-meaningful variables as they might lead to errors.
    • The data sample sizes are larger, which is integral for better results.
    • There are no outliers.

    Types of logistic regression

    Logistic regression can be divided into different types based on the number of outcomes or categories of the dependent variable.

    When we think of logistic regression, we most probably think of binary logistic regression. In most parts of this article, when we referred to logistic regression, we were referring to binary logistic regression.

    The following are the three main types of logistic regression.

    Binary logistic regression

    Binary logistic regression is a statistical method used to predict the relationship between a dependent variable and an independent variable. In this method, the dependent variable is a binary variable, meaning it can take only two values (yes or no, true or false, success or failure, 0 or 1).

    A simple example of binary logistic regression is determining whether an email is spam or not.

    Multinomial logistic regression

    Multinomial logistic regression is an extension of binary logistic regression. It allows more than two categories of the outcome or dependent variable. 

    It’s similar to binary logistic regression but can have more than two possible outcomes. This means that the outcome variable can have three or more possible unordered types –  types having no quantitative significance. For example, the dependent variable may represent “Type A,” “Type B,” or “Type C”.

    Similar to binary logistic regression, multinomial logistic regression also uses maximum likelihood estimation to determine the probability. 

    For example, multinomial logistic regression can be used to study the relationship between one’s education and occupational choices. Here, the occupational choices will be the dependent variable which consists of categories of different occupations.

    Ordinal logistic regression

    Ordinal logistic regression, also known as ordinal regression, is another extension of binary logistic regression. It’s used to predict the dependent variable with three or more possible ordered types – types having quantitative significance. For example, the dependent variable may represent “Strongly Disagree,” “Disagree,” “Agree,” or “Strongly Agree”.

    It can be used to determine job performance (poor, average, or excellent) and job satisfaction (dissatisfied, satisfied, or highly satisfied).

    Advantages and disadvantages of logistic regression

    Many of the advantages and disadvantages of the logistic regression model apply to the linear regression model. One of the most significant advantages of the logistic regression model is that it doesn’t just classify but also gives probabilities.

    The following are some of the advantages of the logistic regression algorithm.

    • Simple to understand, easy to implement, and efficient to train
    • Performs well when the dataset is linearly separable
    • Good accuracy for smaller datasets
    • Doesn’t make any assumptions about the distribution of classes
    • It offers the direction of association (positive or negative)
    • Useful to find relationships between features
    • Provides well-calibrated probabilities
    • Less prone to overfitting in low dimensional datasets
    • Can be extended to multi-class classification

    However, there are numerous disadvantages to logistic regression. If there’s a feature that would separate two classes perfectly, then the model can’t be trained anymore. This is called complete separation.

    This happens mainly because the weight for that feature wouldn’t converge as the optimal weight would be infinite. However, in most cases, complete separation can be solved by defining a prior probability distribution of weights or introducing penalization of the weights.

    The following are some of the disadvantages of the logistic regression algorithm:

    • Constructs linear boundaries
    • Can lead to overfitting if the number of features is more than the number of observations
    • Predictors should have average or no multicollinearity
    • Challenging to obtain complex relationships. Algorithms like neural networks are more suitable and powerful
    • Can be used only to predict discrete functions
    • Can’t solve non-linear problems
    • Sensitive to outliers

    When life gives you options, think logistic regression

    Many might argue that humans don’t live in a binary world, unlike computers. Of course, if you’re given a slice of pizza and a hamburger, you can take a bite of both without having to choose just one. But if you take a closer look at it, a binary decision is engraved on (literally) everything. You can either choose to eat or not eat a pizza; there’s no middle ground.

    Evaluating the performance of a predictive model can be tricky if there’s a limited amount of data. For this, you can use a technique called cross-validation, which involves partitioning the available data into a training set and a test set.

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  • Let’s Talk About Spanish PPC – SEO

    Let’s Talk About Spanish PPC – SEO

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    Spanish-PPC-Twitter

    As digital marketers, we have all been there — stuck on what to do next and trying to reinvent the wheel. We know what it is like to run out of ideas, to try every strategy, to test every new feature until we get to that point where we have done it all. And then what?

    What if I tell you that in order to come out on top, you don’t need to reinvent things? What if you can try something new while barely changing the way you do things now? What I am talking about is keeping in place all the strategies you know work, along with all the content you know sells, and then simply translating them into the second-most spoken language in the United States.

    Español.

    Why should we focus on Spanish over all other languages?

    Screen Shot 2021-07-22 at 12-14-19 PM-png

    This is a very fair question as there are hundreds of languages spoken in households all across the United States. Over 20% of Americans are bilingual and this segment of the population has more than doubled in the last 30 years. Additionally, the percentage of languages spoken at home is on the rise, from Spanish to Tagalog.

    With so many language options to choose from, the reason I am focusing on Spanish is because, besides English, it is the most commonly-spoken language in the United States.

    And since we are on the subject of bilingual speakers, I have a myth to bust. Most marketers believe that bilingual strategies will only be effective in major metropolitan areas. For this reason, it is not uncommon to see billboard and public transit ads in other languages posted in New York City or Los Angeles. However, these same billboard and public transit ads are not utilized outside major cities and, furthermore, are rarely used in digital marketing. But when you look at the map of the United States and evaluate the number who speak a foreign language at home, you can find pockets of speakers in every state. In fact, the state with the largest percentage increase of foreign language speakers at home was Nevada with a 1,088% increase since 1980. 

    Screen Shot 2021-07-22 at 12.18.15 PM

    The Hispanic population is made up of 60.5 million people which comprises nearly 20% of the country’s population. The United States has more Spanish speakers than every country other than Mexico. Hispanics are the fastest growing segment of the U.S. population; for every two people added to the population, one is Hispanic.

    Hispanics represent 20 different nationalities, but the U.S. population has a large percentage coming from Mexico, Cuba, and Puerto Rico.

    The Hispanic consumer is very important to the U.S. economy because they control $1.5 trillion in buying power. This is up 212% from the last decade! Not only that, their consumption of products and services has increased by 42% in the same time period. Additionally, studies show that 66% of U.S. Hispanics pay attention to online ads and — more importantly — 93% take action after seeing the ads online, rendering them an incredible asset to the world of digital marketing. 

    The real question we need to be asking ourselves is, if they represent such a significant portion of our online population, why is no one talking to them online? They represent a significant portion of the population, they have money, and they have a big desire to spend it. 

    Why should digital marketers invest in Spanish?

    Screen Shot 2021-07-22 at 12.21.59 PMScreen Shot 2021-07-22 at 12.31.14 PM

     

    Let’s dig into how to actually implement the strategy (that is not technically a strategy).

    Setting up a campaign correctly

    Like with any experiment, we need to follow the scientific method and separate our variables. These campaigns should be treated as a test and each language should be tested out separately. The test budget I recommend is 20-30% of what you would normally spend in a campaign. In terms of their setup, there are a few nuances we want to watch out for when considering bilingual campaigns. In the language setting, I like to add the language I am testing, as well as the main language of the country; in this case, English.

    Another important thing to consider when setting up ad scheduling, is time zones. Google Ads and Bing Ads treat this feature very differently. In Google, we are looking at the time zone in which the account is created and, in Bing, the time zone of the end user. If you are testing bilingual and international campaigns, make sure you are not scheduling them during times your target audience is sleeping.

    The rest is quite easy because you have already done the heavy lifting and testing. You will keep the structure the same and begin by simply selecting a few of your best-performing ad groups, or 30-50 of the top-performing keywords.

    Translation

    Translating ads is costly unless you can do it yourself. I know that not everyone has the knowledge or confidence to do it on their own, so I usually recommend a free tool like Google Translate. Even as a native speaker, I use this tool to double check my own work.

    Free tools like Google Translate do a great job, but can be very time-consuming if a large amount of keywords or ad copy translation is needed. One of my favorite hacks in Google Sheets is using the Google Translate function. GoogleTranslate allows you to, in seconds, translate everything efficiently.

    Screen Shot 2021-07-22 at 12.36.20 PM

    I always suggest having a native Spanish speaker double check your work if possible because, like all languages, the meaning and words can vary greatly, depending where you are from. 

    I attended the Women in Search and Digital Marketing Speak My Language Conference and learned that the word we use in the United States for pants is not the same everywhere else. If you were to use that same word in the United Kingdom, you would instead be referring to underpants.If you are a clothing retailer in the United Kingdom, this is vital information. You could be bidding on a word with incorrect intent, missing out on all the good clicks by not using the proper term — trousers. That is just one example of the importance of using the correct verbiage in a multilingual country. Within the Spanish language, 20 countries are represented, and so a term as simple as bus may be completely different elsewhere, depending on your country of origin.

    Even if you do not have a Spanish coworker or friend to assist you, there are some noteworthy places to ask for help. Twitter and Reddit have large communities with people from all over the world to help translate or double check your work.

    Screen Shot 2021-07-22 at 12.38.44 PM

    Important Ad Copy Considerations

    Crafting the correct ad copy is important when reaching any audience, but crafting the perfect message in a language that may not be your own is a Herculean task. Thankfully, the Spanish speakers in the United States are an easy audience to work with. Though they are used to consuming their online media in English, the majority are at home speaking purely Spanish, or at least bilingually, with low expectations in regards to the quality of the online content. Fifty-two percent are using English browser settings, not as a preference, but because they have no other choice. 

    Screen Shot 2021-07-22 at 12.42.59 PM

    When viewing ads, 88% of Hispanics will pay attention regardless of language when it includes an aspect of their culture. Obviously, the best practice here is to translate your ads 100%, but I also believe it is ok to translate 50% or even to not translate at all. The goal we are trying to achieve here is to show searchers quality information the first time they try looking for it. In the SERP, it is ok to have an English ad pointing to a Spanish keyword, because you will most likely be one of the few trying to fight for that space and make it to the top. It is better to have a well-written English ad than a Spanish ad with mistakes.

    Screen Shot 2021-07-22 at 12.48.16 PM

    Mobile 

    Hispanics spend two more hours per week using their smartphones than all other demographics in the United States. Having a mobile plan is key to reach this audience. In fact, 68% of Hispanics who are searching on Google do it on a mobile device. Bidding higher on mobile, crafting mobile-specific ads, and creating Call-Only Campaigns could prove very successful as a bilingual mobile strategy.

    YouTube

    Advertising on YouTube is an essential part of reaching the Hispanic audience of the United States. Why? Because according to Neilsen, more Hispanics watch YouTube than any other cable network. When creating video content, we have good news — there is no need to translate these ads (which is a much more complex endeavor than text translation). Sixty percent of Hispanics watch content in English the majority of the time. Don’t forget to award yourself bonus points for including aspects of Hispanic culture to videos targeted to this audience!

    What I find is interesting is how 75% of Hispanics use YouTube to learn about new products and to make informed purchasing decisions.

    As you can see, Spanish PPC is a powerful way to connect with new users without having to break your formula or the bank. It also has another huge benefit — it opens the door to making searching online accessible for all. By simply translating or including elements of a different culture into keywords and ads, we are extending an open invitation for people to feel comfortable and catered to when searching online.

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  • Chinese threat actors have been compromising telecom networks for years, investigation finds – Cyber Security

    Chinese threat actors have been compromising telecom networks for years, investigation finds – Cyber Security

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    Hackers linked to the Chinese government invaded major telecom companies “across Southeast Asia,” says reporting firm Cybereason, and the tools they used will sound familiar.

    deadringer-diagram.jpg

    A diagram of the three APTs acting against Southeast Asian telecoms.

    Image: Cybereason

    New research has been published that points the finger at the Chinese government for being behind hacks of major telecommunications companies around Southeast Asia, all for the purpose of spying on high-profile individuals. 

    Published by Cybereason, the report said that it found evidence of three different clusters of attacks going back to at least 2017, all perpetrated by groups or individuals connected in some way to advanced persistent threat (APT) groups Soft Cell, Naikon and Group-3390, which have each operated for the Chinese government in the past. 

    SEE: Security incident response policy (TechRepublic Premium)

    Cybereason said it believes the goal of the attacks was to established continuous access to telecom provider records “and to facilitate cyber espionage by collecting sensitive information, compromising high-profile business assets such as the billing servers that contain Call Detail Record (CDR) data, as well as key network components such as the Domain Controllers, Web Servers and Microsoft Exchange servers.”

    Those up-to-date on the latest cybersecurity news will probably have heard of the exploit the attackers used to establish access. It’s the same one Chinese-based hacking group Hafnium used, and it’s the same one that allowed attackers to infiltrate SolarWinds and Kaseya: A set of four recently disclosed Microsoft Exchange Server vulnerabilities.

    Target selection follows suit with SolarWinds, Kaseya and Hafnium attacks as well: APTs in those instances compromised third parties with the intent to surveil high-value customers of the affected organizations, like political figures, government officials law enforcement, political dissidents and others. 

    Cybereason said its team started looking into Exchange vulnerabilities immediately after the Hafnium attacks “During the investigation, three clusters of activity were identified and showed significant connections to known threat actors, all suspected to be operating on behalf of Chinese state interests,” the report said. 

    Overlap between the three clusters has occurred, Cybereason said, but it can’t figure out why: “There is not enough information to determine with certainty the nature of this overlap — namely, whether these clusters represent the work of three different threat actors working independently, or whether these clusters represent the work of three different teams operating on behalf of a single threat actor,” the report said.

    Regardless of origin, the attacks have been very adaptive and actively maintain the backdoors they have into telecom networks. The report found that “attackers worked diligently to obscure their activity and maintain persistence on the infected systems, dynamically responding to mitigation attempts,” which it said indicates that the targets are highly valuable to the attackers.

    SEE: How to manage passwords: Best practices and security tips (free PDF) (TechRepublic)

    “These attacks compromised telcos primarily in ASEAN countries, but the attacks could be replicated against telcos in other regions,” the report concluded. As is often the case with widely publicized exploits used by APTs and cybercriminals, patches are available that close the gaps, and it’s in the best interest of companies using Microsoft Exchange both in-house and through Outlook Web Access (targeted by one of the clusters).

    For more information on the report, be sure to attend Cybereason’s Aug. 5 seminar, where it will discuss its findings. 

    Also see

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  • How One Small Agency Changed Advertising – Advertise

    How One Small Agency Changed Advertising – Advertise

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    How One Small Agency Changed Advertising

    Jon Bond and Richard Kirshenbaum are trying hard not to be seen, hiding in plain sight at the Pen & Pencil restaurant, an upscale eatery in Midtown Manhattan.

    It’s the lunchtime rush and the waiter, dressed in a crisp white shirt and black trousers has come over once, twice, to take their order but again they push him away. The two ad hustlers work at different advertising agencies but have a side gig that lets them meet during lunch hour to collaborate on freelance projects.

    The projects pay just enough to buy the duo lunch at the most expensive restaurants in town.

    They only have the lunch hour to come up an idea for a full-page print ad for Kenneth Cole footwear. There’s no agreement to run an ad — this means that Kenneth Cole himself has to feel like the ad is good enough to spend the money.

    The year is 1986. Ronald Reagan is President of the United States. Madonna is singing “Papa Don’t Preach,” Cyndi Lauder has her hit “True Colors.” The movie “Top Gun” starring Tom Cruise has not come out yet, but the off-kilter Australian rom-com “Crocodile Dundee” is playing on movie screens.

    In the Philippines, dictator Ferdinand Marcos and his wife Imelda are getting headlines as jet-setting bootstrappers. Their country is besieged by enormous poverty, yet the couple plays on the international party circuit. News flash: A newspaper article reveals that shopper Imelda Marcos owns thousands of pairs of shoes.

    A couple days later advertising creative director James Patterson walks through the sad hallways of the legendary J. Walter Advertising agency (this same James Patterson will later become famous author James Patterson). In the 21st century JWT will become one of the templates for the T.V. show “Madmen”, but in 1986 the agency reeks of mold.

    Patterson steps inside every office of the JWT creative department and holds up a page in The New York Times, before startled art directors and copywriters.

    It is a full-page ad for Kenneth Cole shoes. The advertisement is two simple sentences in black and white type. No photograph. No picture of shoes. Executionally, it’s the least expensive advertisement you could produce in The New York Times. In fact, the only thing less expensive than this ad would be to run a blank page. And the ad is a simple one-liner.

    “Imelda Marcos bought 2,700 pairs of shoes. She could’ve at least had the courtesy to buy a pair of ours. — Kenneth Cole.”

    “This is the kind of work we should be doing here!” Patterson declares, then stomps down the hallway to the next office and then the next. It’s a long hallway. “Why can’t we do this kind of work here?” “Why aren’t you doing ads like this?”

    Finally, Patterson reaches copywriter Richard Kirshenbaum’s office and leans in. “Why can’t you do this kind of work?” he roars.

    Kirshenbaum looks at the ad, then at Patterson and laughs. “There’s no way we can do that kind of work here,” Kirshenbaum replies. “This place sucks. Kenneth Cole is my freelance client!”

    This sparks the beginning of legendary advertising agency Kirshenbaum + Bond. Gone now, nearly forgotten, K+B (which later became KBS) ignited many of the themes, executions and thinking that still run through social, digital and traditional advertising and marketing today.

    The first pop-up store.

    Using real people instead of actors in television commercials.

    The real-life video look of “Reality TV”.

    Brilliant ideas that have so much fun, sense, and inexpensive baked into them that clients cannot resist buying them. And people could not help but talk about them.

    Kirshenbaum + Bond promoted Word Of Mouth (WOM) not as a by-product, but as an intentional outcome. Twenty years before the twitterstream.

    Kirshenbaum + Bond’s Kenneth Cole print campaign became a New York thing. In the 1990s, everyone in Manhattan — consumers and industry folks alike — watched and waited for the next ad to appear.

    “There was no media plan,” recalls Jon Bond. “We waited for events to happen and got Kenneth’s opinion.”

    Loaded with puns, double entendres and winks to the Manhattan tribe, Kenneth Cole ads were culturally relevant, deliberately cause-ridden, outrageously not as much about the footwear as they were about the values of the people who wished to wear Kenneth Cole shoes.

    Importantly, Kenneth Cole advertising gave modern issues their voice: AIDS, homelessness, political frictions. When Lorena Bobbit cut off her husband’s penis, there was an ad for that. When Vice President Dan Quayle publicly embarrassed himself by misspelling a word, there was an ad for that. When conservatives ignored the AIDS epidemic, Kenneth Cole ads boldly supported research and funding.

    In a time before “purpose-driven” K+B’s Kenneth Cole ads pointedly proclaimed pay attention, this matters. The ads were funny, cute, ballsy, tone smart and full-page news in the most culturally diverse and actionable city in America. Kenneth Cole ads served as activist prompts to help push societal issues forward.

    The DNA for Nike’s Kaepernick advertising lies in Kenneth Cole. “Kenneth Cole was definitely at the forefront of purpose-driven marketing,” nods Bill Oberlander who was art director on the Kenneth Cole account.

    Companies large and small started pointing to Kenneth Cole ads as the thing. “We started the agency with that one client,” says Jon Bond.

    Fast Forward

    Colleen Broomall was in sixth grade when her mother told her that she didn’t want to take her to Take Your Daughter To Work Day. Mrs. Barbara Broomall was at an alternative high school teacher in New Jersey where she taught emotionally disturbed students. She didn’t want daughter Colleen to get caught up in the complexities of her students.

    “I was 12 years old,” recalls Colleen. “I’m a feminist and so when my mom said ‘No,’ I asked the Snapple lady if I could go to work with her.”

    The “Snapple Lady” was Wendy Kaufman, a Snapple employee that Kirshenbaum + Bond had written into television commercials.

    Snapple management had seen the Kenneth Cole campaign and wanted Kirshenbaum + Bond to do something just as smart, funny, breakthrough for them. At the time, the brewed tea company Snapple was a regional, family-owned business — an outlier in a beverage industry dominated by Coke and Pepsi.

    The company advertised Snapple on local NBC radio shows starring Howard Stern and Rush Limbaugh (fledgling brands themselves). But when those celebrities made on-air mentions of Snapple, many in their audience didn’t know who or what “Snapple” was.

    “Before those commercials started airing it was just a spunky little beverage company,” says Broomall. “People would write to Snapple, but no one would answer the letters. Wendy appointed herself the PR lady and started answering letters.”

    “I was working with the truck drivers handling orders,” explains Wendy Kaufman, arguably the first “real” person to star on television screens (so-called “Reality T.V.” did not appear for another decade). “I assigned myself to public relations, because I could relate publicly.”

    On the morning of Take Your Daughter To Work Day, a black limo pulled up outside Colleen Broomall’s house in New Jersey with six cases of Snapple. Likewise, Colleen spent her day helping Wendy visit people’s homes and brighten their days with free Snapple.

    “People related to me because I was 100-percent natural advertising,” recalls Wendy. This was in the middle of the Cola Wars, when rivals Coke and Pepsi were flaunting supermodels like Cindy Crawford and Christy Brinkley.

    “I was overweight, I had foibles. I wasn’t beautiful,” says Kaufman. “I was not perfect and not listened to. It was a radical move for them to hire me. And it paid off — the fans loved me.

    “K+B had this wonderful opportunity to grow their brand while we were building our brand,” continues Wendy, who currently is quarantining in Western Massachusetts. “We were these crazy people ending up in the mainstream. We were the outsiders, the underdogs. We were making people happy. We were building together. We were like a big family.”

    “Wendy brought so much kindness and joy because of her spirit,” says Colleen Broomall. “And I wanted to be like her.”

    “The goodness that we did for other people,” recalls Kaufman. “If people didn’t have money, we gave them Snapple. It was a life changer for people.”

    “The idea behind Snapple was that trust is more important than being ‘perfect’,” says Jon Bond. “There were no scripts. Everything was real. A dog wandered into the frame, we kept it in. We were honest.”

    (Snapple is one of the great success stories in advertising. It is also the saddest. Snapple was a $23 million business when they hired K+B and a $750 million company three years later. When Snapple sold to Quaker Oats, they promptly dumped the Wendy campaign.)

    There Are Other Stories

    Hennessy cognac sales were declining because people were giving up after-dinner drinks. K+B visited their local bar across the street to experiment. They found that by chilling the cognac and adding a drop of lemon, it made the product lighter and more suitable for pre-dinner cocktails. Then they poured it into a Martini glass because it’s cooler (even though ‘martini’ at the time was defined as a drink with vermouth and vodka or gin). But what happened next was inspirational.

    “We hired dozens of actors in key cities to invade bars that didn’t serve Hennessy,” recalls Jon Bond. “We staged mini dramas inside the bar — typically where the attractive couple gets into an argument and then makes up and orders Hennessy for everyone. No one knew it was staged until years later when an Esquire article outed us.”

    Meanwhile, Hennessy sales grew from 400,000 to 2.5MM cases. Hennessy won Spirits Marketer of The Year twice.

    Today, Pop-Up stores are a ubiquitous part of retail, but until K+B christened them by creating snap retail spaces for Delta, “The Apprentice” and temporary retail space for Target on the barges of the Hudson River, the pop-up concept was an outlier idea that did not really exist. (K+B also helped upgrade Target from price shopper to designy chic.)

    In 1992, legendary rock music group The Rolling Stones wanted to launch a clothing brand called Rockwear. (Polo shirts that looked a lot like Ralph Lauren — except The Stones’s iconic tongue logo would replace the Polo Pony.) The perfect middle finger to establishment fashion designer orthodoxy.

    Kirshenbaum + Bond presented a launch advertising campaign to Rolling Stones lead singer Mick Jagger while he was on the Steel Wheels tour. They met at the Ritz Carlton bar in Naples.

    Mick had attended London School of Economics, so he often acted more like a brand manager for The Rolling Stones franchise, than the band’s lead singer.

    Jon Bond and Richard Kirshenbaum showed Mick a magazine advertisement that included a photograph of the band members on stage with no clothes (music instruments were strategically placed).

    Jagger stared at the photo. And stared some more.

    Finally, Mick looked up and said, “Well. That’s ok for me because, well, I keep myself pretty fit. But have you had a good look at the other guys?”

    It is difficult beyond words to describe how irreverent, shocking, funny, outrageous and heartening K+B work was within the tonality of 1990s America. The world was flat. Not even “Saturday Night Live” was particularly funny. This was a time before sex in the White House. Terrorists hijacked airplanes, not cities or countries. Everyone could name The Beatles.

    Playing in the amphitheater of 1990s media, commerce needed hard dollars to be seen or heard. Startups existed, but only after they had secured millions of dollars in funding. Advertising was targeted toward an ideal consumer, primped and ready for Prime Time, not for the great sloppy consuming proletariat.

    Emotional, personal, or social were adjectives reserved for greeting cards. All other advertisers geared up for polished full-frontal assaults.

    By contrast the Kenneth Cole campaign was not only an efficient use of media, it became a megaphone for social issues, current events, human rights, values and social justice. Transparency? You could see right through them. Their value proposition in trendy New York City did not come from the shoes, but from the people who wore them. (To answer the question whether or not purpose-driven brands succeed: Kenneth Cole went from $2 million in sales to over $500 million during the life of the campaign.)

    On the other side of town, the consumable Donny Deutsch was doing similar things (example: a real person bit to help launch IKEA’s entry into Long Island) but they did not derive from the same provocative spinal tap.

    Kirshenbaum + Bond held an unfair advantage because the agency was driven by its culture.

    The culture of the agency was overt acceptance — if they were gay, the odd person in high school, the person who didn’t fit the mold — for the first time in their lives they felt that they fit in. K+B was a place for outcasts. At the agency’s 10th anniversary party, the receptionist, a huge black gay man, lay down in Jon and Richard’s lap and sang “Mister President”.

    A New, Disruptive Agency

    Traditional, conservative advertising agencies considered K+B to be an insult, like a spit in the face.

    “At K+B the culture was ‘Best ideas win,’” sums up Rosemarie Ryan, former president of K+B. “There was no such thing as ‘we can’t do that.’ It was a meritocracy. People didn’t care about titles, we cared about what work we put out into the world. I was 31 when I became President. People were very young and tapped into the culture.”

    These days, Joe Doucet is head of his own design firm JDXP and listed in Fast Company as one of the century’s top industrial designers. But he got a head start as Partner and head of the Design group at Kirshenbaum + Bond. Doucet remembers the intensity, the desire to do great work, the closeness of the people who worked there. “We were the underdogs pitching against much larger agencies,” he recalls. “We were very small, very nimble.”

    “We didn’t think about advertising in traditional terms of the 30-second television commercial — although we did plenty of those,” recalls Rosemarie Ryan. “When I started we were three people and our clients didn’t have huge budgets. So we had to learn how to make the most of what we had, which forced us to think more creatively about how we went to market.

    “PR was fundamental. We were integrated, word of mouth, experiences (chalk on pavement) that added to the other work we were doing. Strategically placed media that could get a lot of interest. We were way ahead of that — that’s what made us successful. It was a very modern way to think about going to market.”

    “At the time we were very much media-agnostic — we didn’t think (the formula) print ad, tv spot,” agrees Bill Oberlander, who today is founder and executive creative director at his agency Oberland. “For Snapple, I think the assignment was a B2B ad and we wondered how to connect with the audience. Period. That became the idea for Snapple Stickers — we put stickers for Mango-Flavored Snapple on mangoes at the grocery store (and also on apples and other Snapple fruits).

    “For Bambu lingerie we put ‘stickers’ on the sidewalk: ‘From here it looks like you need a new pair of underwear.’ We used watercolor paints so we wouldn’t get in trouble with the city.

    How do we touch the consumer at an emotional level — and let’s just make it up as we go?”

    Even The Stories Have Stories

    Anything you need to know to explain Jon Bond can be summed in a single sentence: His mother was a psychoanalyst and his father was a film and theater star. After going to Washington University in St. Louis, Jon went back to New York City and took a job as a messenger. He dropped off packages at swanky advertising agencies and during one delivery spotted David Ogilvy’s “Confessions of an Advertising Man”. He became enthralled and decided to become an advertising copywriter. He put together a portfolio. He worked at Trout & Ries, the team that came up with the concept of “Positioning” in the 1970s (a ubiquitous marketing term ever since). Then he met Richard Kirshenbaum.

    Shortly after James Patterson flashed the Kenneth Cole Imelda Marcos ad in front of Richard Kirshenbaum, Jon Bond met Bill Tragos, one of the founders of advertising agency TBWA, at a party in Greenwich, Connecticut. Jon Bond asked Bill Tragos if he should start an advertising agency. “Do it,” said Tragos. “You’ll make a lot of money.”

    Where Are They Now?

    Graduates of K+B have spilled out into the universe and become directors, photographers, designers, and builders of their own agencies.

    Jane Geraghty is in London running Landor. Strategist Domenico Vitale helped to create People Ideas + Culture, a new kind of creative company. Account executive Felicia Stingone helped rebrand 92nd Street Y into 92Y and then went to work with legendary New York City restauranteur Danny Meyer. Creative Mike McGuire became a dynamite film director. Rosemarie Ryan started co-collective. Jon Bond is still in Manhattan, and even today is a serial entrepreneur with companies like Media Kitchen, Big Fuel, Lime, The Shipyard, and more.

    “Jon Bond is basically the guerilla marketing pioneer,” says Geoff Colon, head of Microsoft Advertising’s Brand Studio. Colon reminds us from Seattle that human behavior has become simplified to data points and attribution; intuitive judgement is out of bounds. “Jon was a trailblazer in the space we now consider to be disruptive or guerilla marketing, when in fact he was just thinking, This is how people behave — let’s capitalize on that somehow.

    “People in the tech world think that’s not important anymore,” remarks Colon. “We take for granted the things we do today. We forget that they were once original thoughts.”

    Which is probably the best way to remember Kirsenbaum + Bond.

    Contributed to Branding Strategy Insider by: Patrick Hanlon, Author of Primal Branding

    The Blake Project Can Help: Get actionable guidance from the experts on Building Brand and Business Meaning

    Branding Strategy Insider is a service of The Blake Project: A strategic brand consultancy specializing in Brand Research, Brand Strategy, Brand Growth and Brand Education

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  • Maximize Your ROI With This Push Ad Network – AffiliateMarketing

    Maximize Your ROI With This Push Ad Network – AffiliateMarketing

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    What is Push House?

    Push House is a leading self-serve push notifications ad network with some hot traffic sources for your adult and mainstream offers.

    With over 525M active subscribers and 14B daily impressions, Push House’s got everything you need for success.

    This RTB platform means you can bid on traffic in real-time and see your stats appear live from the dash, as they happen.

    Advertisers can bid on traffic in over 180+ Geos for a share of the ad network’s 31+M daily clicks.

    One of the top advantages of Push House is the uniqueness of users and the high quality of traffic. The ad network approaches this in a unique way, and we’ll look at how you can get the best results from using it in just a while.

    Push House also has some innovative targeting features that allow you to apply precision targeting to your campaigns and identify top-performing feeds for your offers.

    Put this all together, and you’ve got a turbo-charged Push ads platform that’s like a license to print money.

    What are Push Ads?

    Push ads are one of the hottest ways to profit from affiliate offers right now.

    They’re easy to set up, have bot-free traffic, can be targeted to users who are ready to click, and work in all verticals.

    This makes Push ads a no-brainer for newbies who are just starting out or well-seasoned pros who wanna increase their volume and boost their ROI.

    In the right hands, they’re literally a money-making machine. They have a high click-through rate (CTR), low cost, worldwide coverage, and instant delivery – making them an all-round great choice for advertisers who wanna step things up to the next level.

    In fact, if you’re not using Push Ads as part of your revenue strategy, you could be missing out on megabucks.

    So what’s the best way to get started?

    Well, first of all, you’re gonna need to find a Push ad network with a large volume of high-quality traffic and killer targeting options.

    In this review, we’re gonna take a look at one of the leading Push ad networks, Push House, and show you why you might wanna choose them to scratch your Push ad itch.

    Getting Started with Push House

    One of the things I liked about Push House was how easy it was to get started. Everything has been carefully thought out and the process is seamless from start to finish.

    The website has a clean and fresh look and is super easy to navigate – just click the Signup button on the homepage to create your account.

    If you wanna go ahead and do that now so you can follow along with the rest of the article, click the link below. I’ll wait here for you while you do that before moving on.

    >>>Register with Mobidea’s exclusive Push House coupon to claim an extra 10% balance.

    OK, we’re back! See how easy that was?

    Also, don’t forget to click the verification link sent to your email so you can access the platform.

    push house dashboard

    So the first thing you’re gonna see when you login is the dash. This is the main panel of your account.

    From here you can see your impressions, clicks, CTR and ad spend, along with a summary of your top campaigns for the past two days. You can also see the Top 10 Active and Top 10 Free Geos from this tab.

    You’ll see your account manager and moderator from the top navbar, along with your name and the value of any funds in your account.

    If you click on your name you can edit your personal data, and enter your Telegram ID for notifications.

    You’re gonna notice that a few texts still have to be translated. Although their team is working on having all of that in place, it isn’t a huge deal breaker as you can always use Google translate to understand the tool tips where they are written in Ukrainian.

    Here’s a quick breakdown of each tab and what it does:

    Main Panel: Clicking on this will redirect you to the main page of the site.

    News: Here you can find the latest news.

    Network Volume: See the actual volume of the traffic for all ad formats during the last 24 hours.

    Push: This opens a drop-down menu for everything you need to work with Push advertising.

    In-Page: This opens a drop-down menu for everything you need to work with In-Page Push advertising.

    PWA: This opens a drop-down menu for everything you need to work with PWA advertising.

    IOS Push: This opens a drop-down menu for everything you need to work with IOS Push advertising.

    Finance: In this tab you can top-up your balance or use a promo code.

    Support: Use this tab if you need help with solving a problem. Create a ticket and the support team will come back to you as soon as possible.

    Ref System: Push House has a referral system with a 3% commission for all the spending that your referrals make on the network. To see your referrals, your referral income and your referral link, click on “Ref System”.

    Rules: Make sure to read through them before starting.

    API: Here you can find your unique API key.

    F.A.Q.: If you have any questions, you can search for them here to see if there is already an answer for it.

    Topping Up Your Account

    Before you can run ads on Push House you’ll need to add funds to your account.

    To do this go to the “Finance” drop-down menu and select “Top Up”.

    topping up push house account

    There’s a wide range of payment options you can choose from such as WebMoney, Visa Card, Bitcoin, and others.

    Keep in mind that the minimum deposit is $50. This is also the screen where you can enter a promo code if you have one.

    Note that in order for the promo code to work, you first have to make a deposit. The promo code field only displays until you first use it, then it disappears.

    For the rest it’s pretty self-explanatory, so let’s move on to creating your first ad.

    How To Create a Campaign on Push House

    While you may be tempted to jump right in, Push House recommends that before creating your campaign, you should inspect the network volume and CPC for all the available GEOs.

    To do this, click the “Network Volume” tab to see the amount of traffic registered during the last 24 hours for all GEOs.

    create a campaign on push house

    You can use the four tabs above the statistics table to select which of the 4 ad types you wanna see the stats for.

    Now that you’ve got a pretty good idea of which GEO you wanna target, open the “Push” drop-down menu and select “Create Campaign”.

    This is the page where you will be setting up your first ad campaign. As it’s full of details and various targeting options, we’ll dissect it into smaller pieces so you can get a feel for the whole process.

    push house campaign setup

    The title and the link of your ad:

    title and link push house campaign

    Title: This field is where you choose a name for your campaign. This can be whatever you like and only you will see it. Make sure to use a name that will be easy for you to understand and look up in the statistics table.

    Link: Your affiliate link goes here. This field uses macros that can give you insight into the users that clicked on your ad.

    Let’s a closer look at these macros and what they do:

    Advertisement

    • {site} – This macro shows which site the user got the push notification from. It is useful when you wanna know what sites are profitable and what sites are eating into your balance without any returns. Once you know these sites you can put them into blacklist later on, to cut away not profitable traffic sources.
    • {camp} – This macro shows what ad campaign the user clicked on. It comes in handy when you wanna know what type of ads convert better, so you can get rid of the ads that don’t convert well.
    • {pdpid} – This macro tracks the subscription age of the user. In Push House all the traffic is divided into segments by the subscription age. This means that you can choose which segment of the traffic you want to target.
    • {price} – This macro tracks the price of the click made by the user on your ad.
    • {feed} – In addition to the traffic that Push House has, there is also a large amount of traffic driven from the feeds. This macro gives you more insight about the feeds and their traffic quality.
    • {country} – This macro shows you the country where your ad is displayed.
    • {city} – This macro shows you the city where your ad is displayed.
    • {os} – This shows you the OS of your traffic.
    • {lang} – This macro is used to see what browser language your traffic is using.
    • {browser} – This macro can track the browser used by your traffic.
    • {format} – This macro is helpful when you run multiple campaigns in different formats. It can tell you what format converts better.

    Countries, Prices and Devices:

    countries and prices on push house

    The first thing you wanna do here is to select the country you wanna target.

    As soon as you do this, your CPC will immediately default to the minimum CPC allowed in the country you have selected. Feel free to change that if you wanna increase your bid.

    Next, in the City drop-down menu, you can include or exclude cities if your offer needs that.

    Now let’s move to the Devices section.

    Device: From this drop-down menu you can select whether you want your campaign to be targeting mobile or desktop devices.

    Subscription age: Here you can select the segment of traffic based on the subscription age. The newer the subscription, the higher your CPC will be. This comes from the idea that a newer user is far more likely to click on the ad and convert than a user that has been receiving push notifications for some time now.

    OS version Android: Here you can target a specific Android OS.

    Browser language: This is a super useful targeting tool for when you wanna target a specific part of the traffic from a country that has more than one language.

    Your Actual Ad:

    create an ad on push house

    After setting everything up it’s time to create your actual ad.

    Before doing anything, you can go to “Ready Sets”. These are like a small in-house spy tool that gives you access to hundreds of pre-made creatives.

    These can give you an idea about ads other people are using in your niche. If you need more detailed analysis, you can check their free spy tool, Spy House (Russian Only), that gives you even more updated and detailed info about the push ads used by your competitors.

    Title: Enter the title of your ad. Note that the maximum number of characters allowed in this field is 30 characters. Try to keep it short and catchy to get more clicks.

    It’s also a good idea to use emojis here as they are proven to boost the CTR.

    Text: This is the body of your ad. The main message of your ad should be here. The maximum character limit allowed here is 45. You can also use emojis here if you like.

    Tip: You can insert two macros into Title and Text which are {CITY} and {COUNTRY}. If used, these macros will automatically change into the city or the country of the user to whom the ad is displayed. This is a great way to introduce a greater degree of personalization into your ads.

    Icon: Here you can upload an icon for your ad. The icon is a small image that will be displayed at the side of your ad, next to the title and text.

    Image: This is where you can upload the main image for your campaign. It’s a larger image that is used to draw more attention and give more information about the offer you are promoting.

    Tip: The image won’t always display the same way across different devices. Some crops might be applied from the top and the bottom of the image, so always try to put the most important information in the center of the image.

    Scheduling:

    push house campaign schedule

    This tool helps you run your ad on specific days of the week or at specific hours of the day if it is needed for your offer.

    It could be that you wanna run your ad at the offer’s call center working hours, or maybe your offer needs to be run on specific days or because you are seeing low conversions at certain times. No matter what the reason, here you can check and uncheck any hour of the day you want.

    Note that the timetable is set to UTC +2 – so don’t forget to convert the local time of the offer to UTC +2 when you are scheduling your ad campaign.

    Ad limit:

    push house budget limit

    This section is made for you to set limits for your campaign. It’s divided into four fields, let’s look at each one a bit closer:

    Total budget limit in $: Here you can set a total budget for your campaign. Due to the nature of the push notification ad format, the limit can be overrun. The minimum limit is $10.

    Daily budget $: If you need your campaign to spend a specific amount of money daily, set this here. Due to the nature of the push notification ad format, the limit can be overrun. Minimum limit is $10.

    Total clicks limit: This is another way of limiting your campaign. Instead of setting a limit in dollars, you can set it in clicks. If you need only a specific number of clicks, to test your campaign, for example, you can do it here. Due to the nature of the push notification ad format, the limit can be overrun.

    Daily clicks limit: If the nature of your offer allows only a specific number of daily conversions, this field will help you to set it here. Maybe there are caps for the offer you run, so this might come in handy with that.

    Audience:

    push house audience settings

    This section focuses on your audience. It includes the sites they come from, their subscriptions and whether you want to exclude these sites/subscriptions or get more traffic from them.

    Before explaining how to set up all these parameters, we need to know what Black/White lists are and why we need them.

    Let’s say you’ve started your campaign and you are driving traffic to your affiliate link for 3 sites. One tricky part of using Push House is that instead of names, these sites go by numbers. So for example the three 3 you are driving traffic from might be numbers 1, 875 and 23.

    After your campaign has been running for some time, you need to check the statistics of your affiliate network or your tracker to see which sites are profitable and which are not (This will only be possible if you have used {site} macro in your affiliate link).

    When you open the statistics and see an interesting thing, i.e. site 1 gave you 30 clicks, 4 of which converted, you can easily see that this site is profitable.

    Site 23 gave you 50 clicks, 2 of which converted. This site is also profitable, but not as much as the first site.

    Site 875, however, gave you 100 clicks and only 1 conversion. This is not profitable at all!

    So what do you do? You need to get rid of it.

    That’s when you can create a Blacklist and add site 875 to it. And voilá! You won’t get any more traffic from this site.

    The more traffic you drive the more detailed stats you get and therefore more low-performing traffic sources can be added to your Blacklist.

    The same strategy applies to Whitelists – If you see that some sites give you more profit than others, this usually means that these sites have a target audience that is a good match for your campaigns. You can put these into Whitelist to drive even more traffic from these sites.

    So now let’s come back to the Audience section.

    The first thing you need to know is that this section is divided into two columns

    The column on the left is where you can choose what type of list you are making.

    Each field is related to the list that it’s next to in the right column.

    This means that the first field in the left column, which is “Type IP” where you can choose whether you want to create a black or white list, is related to its counter field on the right, which is where you will be inserting IP ranges you want to includeexclude.

    The same goes for the Type ID field, which is responsible for the site ID or numbers, as we said before.

    The last field is responsible for the Subscription IDs.

    After deciding which type of list you are going to create, go to the counter field on the right and insert the data that you got from your stats. Let me show you how I created a small blacklist of the sites that were not giving me any profit.

    setting up the audience on push house

    In the picture above I wanted to only make only one Blacklist for low-performing sites. I first went to the left column, selected the “Blacklist” form Type ID and then moved to the field across from it, to input all the sites I didn’t want my campaign to run as these sites were not profitable for me.

    The uniqueness of the campaign:

    push house uniqueness of the campaign

    This small field has only three choices and will determine how your ad is going to be displayed to users.

    Ad: If you select this, it means that once the user sees the ad, whether they click on it or dismiss it, they will never see it again. It’s the best choice if you are working with an affiliate network.

    Link: If you choose this option, if the user got the ad with this link before, they will not get it again. You can try this out if you have a store where there are different links for different products.

    Domain: The last option filters the uniqueness of the ad by the domain. So if several people run campaigns for the same site but are only paid only for unique visitors, this will help because it will never show the ad with the same domain for the same user twice.

    The last step before launching:

    launch campaign on push house

    Now just before you start your campaign, you have to do a couple of last steps to finish.

    Push House moderates all ads to make sure there is no adult content on the creative. If you don’t want your ad to run right after moderation, check “Stop after moderation”.

    Ad 18+: This is an important field that you must check for your ad to run. You have to choose whether your landing page has adult content on it or not, as this will help the platform to find the best target audience for you.

    Allow feeds: Push House has tons of traffic but if you ever need more, you can check “Allow feeds” to get traffic from third-party databases. In order to do this, you need to have $70+ on your balance.

    That’s it!

    You’ve now completed all the steps necessary to get your ad up and running and get unique visitors to your offer.

    Click the “Campaign List” tab to see a list of all of your campaigns and get detailed stats on your campaign performance from the “Statistics” tab.

    Here you can break down your campaigns by targeting to see which options are performing for your best.

    Wrapping Up

    Push House is a respectable and well-designed Push ad network with a global reach and lots of high-quality traffic.

    Its rich targeting options and easy-to-use interface makes it attractive for affiliates at all levels.

    The inclusion of the Ready sets is a nice touch and being able to create ads by the uniqueness of the campaign opens up all sorts of possibilities.

    Click the link below to get started with Push House and get 10% extra on the value of your deposit.

    Pros

    • Global reach
    • High-quality traffic
    • Excellent targeting options
    • Creatives Ready Sets
    • 24/7 support

    Cons

    • Newbies may find some steps difficult.
    • No carrier targeting

    Contacts

    Email: push.house.partner@gmail.com

    Skype: PushHouse

    Telegram: https://t.me/publisher_push_house

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