2015-11-19

One-third of the users sent to your app through campaigns and traffic sources are fake! Did that make you jump out of your skin? Well, allow us to explain.

The 2 most prevalent practices that are plaguing your app marketing strategies are:

Fraudulent Installs:

Your campaigns are unsuccessful; thanks to click and install fraud. To get you the promised number of installs, the sources don’t hesitate in manipulating the system. If a conversion rate of click to install is close to 100%, the traffic is most likely to come from bots.

Incentivized Installs:

The app marketers offer the audience some reward in exchange of installs. This way, the users install your app, not for what you have to offer them but for the incentive. Though congratulations! You have just acquired a large (inactive) user base. And, eventual uninstalls.

You won’t attain genuine installs, unless you ensure that the traffic sources are not getting you dead installs. It’s high time you determined the elements that render your campaigns unsuccessful. So, here’s what we suggest:

· Track the number of dead installs & uninstalls from individual sources.

· Employ these insights to find out your most profitable source of users.

· Implement the derived patterns further to create a lucrative campaign that maximizes your installations and secures positive ROI.

Tracking Uninstalls in rocQ Dashboard

rocQ is a mobile app analytics platform that enables you to identify and analyze your marketing campaigns. We help you acknowledge the sources that get high-quality traffic to your app through an interactive real-time reporting dashboard.

rocQ, being obsessed with details & patterns derives specifics of every ad click, installation and uninstallation of your app. These actionable insights & derived patterns help you reason out your app’s uninstalls by filtering the results based on source, location and device.

To request our rocQ-ing demo, shoot us a mail at contact@rocQ.io

PS- If you have any questions related to uninstall tracking, campaign management & app-analytics, please drop a comment. We’d love to answer them.

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