Acquire New Shopping App Users!

User Acquisition Campaign

Did you know that approximately 45% of mobile content is outside self-attributed networks like Facebook, Google, and Snap?

Mobile programmatic inventory allows you to find good users while they are playing or consuming other content in apps. If you're not yet utilizing mobile programmatic buying, you could be missing a large audience of potentially good users.

Here is how to win with programmatic media for your user acquisition campaigns.

Campaign Startup Process


The Challenge

The app publisher looked into acquiring highly engaged users and generating optimal CPI and CPR for a Shopping app.

Performance Results


Decrease in Cost-Per-Install


Increase Conversion Rate


Decrease in Cost-Per-Registration


Increase in Install Rate


Creative Iterations

Video Ad

Display Ad

Key Takeaways

As mobile shopping continues to progress in our digital world, mobile marketers ask themselves, "how can I make my shopping app standout?"

Promoting the unique features your app offers is one way to do so. Based on a user acquisition campaign for a shopping app, a video ad promoting a certain feature, such as unique content, performed better compared to a video ad that didn't . Though, it doesn't mean that video ads are the only way to acquire users. Display ads have also shown promising results whether a unique feature is promoted or an events-based creative was used. 

To learn more about what you can do for your shopping app, check out this article.


Benefits of Acquiring New Users with Programmatic Media

low cost icon

Reduce the cost per acquired new users

scale icon

Scale the user base with a lower churn rate

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Boost lifetime value of mobile app users

Sophisticated Machine Learning Models are the Key to Success


Install Optimization

Predict the install probability using a linear machine learning algorithm, and features derived from the auction, geographic and temporal context, and user profile


Multiplicative Model

Advanced non-linear machine learning model that uses all install & event data. It learns deep user profiles to predict expected user value at bid time


Pointwise Mutual Information Model

Draws more information from pairwise association between non-attributed event data and user profile features

Did You Know?

Percentage of smartphone users who purchased online using their mobile device in the last 6 months

Forecasted revenue share of mobile e-commerce sales in 2021

Forecasted mobile e-commerce sales worldwide in 2020.


About Aarki

Aarki helps companies grow and re-engage their mobile users, using machine learning (AI), big data, and engaging creative. We strive to deliver performance at scale across different marketing objectives to meet the target return on investment.

Stronger-ROI (1)

Our data offer deep insights into user intent and usage habits. To drive performance, we activate our data assets through proprietary machine learning algorithms and engage users in real time with personalized creative.


For more information, please visit or follow us on Twitter: @aarkimobile.




Ready to grow and scale your user base?