Case StudiesHepsiburada Case study

Hepsiburada Case study

Hepsiburada Uses In-App Prospecting To Lift Number of New Customers By 24%

Turkey’s sole NASDAQ-Listed company boosts new customers with Deep Learning.

Hepsiburada logotype
Man with smartphone and laptop


Increase in new customers


Overall decrease in Cost per Order


More conversions


About the client

Hepsiburada, a Turkish ecommerce company, provides its customers with more than a million products in 32 categories. Through its investments in digital transformation and focus on building an ecosystem made up of innovative brands and services, Hepsiburada seeks to set the standard for the ecommerce sector in Turkey.

What they say about us

"RTB House’s responsive Account Team and their Deep Learning-powered algorithms helped us to reach our goals. We are able to optimize our campaigns based on our different KPIs. RTB House showed us that they are a partner we can rely on, and that they are committed to advancing our collaboration."

Abdullah Umut Haçat

Senior Performance Marketing Specialist, Hepsiburada


The challenge

Already a valued retargeting client of RTB House, Hepsiburada was looking to build on its leading presence in the market by increasing new customer numbers and decreasing the cost per order. They also wanted to guarantee that their creatives would always be shown in brand-safe placements to protect the precious commodity of their highly-regarded brand image. Hesiburada challenged RTB House to deliver all of this while maintaining a high return on investment.


The solution

A dedicated RTB House account team worked closely with the client to evaluate different campaign types and creatives and select the optimal set-up. To meet Hepsiburada’s goals, RTB House implemented a Prospecting app campaign featuring high-performing banner templates powered by Deep Learning (a more efficient and flexible type of Machine Learning). These best-in-class creatives display products and categories based on user behavior and are served to the right person at the right time.

The RTB House team continuously assessed the campaign performance with various parameters (different goals, sub-campaigns, categories and device optimization, etc.), and was in close contact with Hepsiburada to ensure overall campaign success and a smooth collaboration.


The result

A combination of industry expertise, a close partnership, and RTB House’s proprietary Recommendation Engine, powered by Deep Learning, made Hepsiburada’s campaign a success. RTB House’s Brand Safety feature ensured the careful conservation of the Hepsiburada brand by forgoing unfavorable placements. The number of new customers increased by 24%, with conversions seeing an uplift of 175%, and the overall cost per order decreased by 64%.


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