Tıkla Gelsin achieves 177% incremental revenue boost using AI-driven segmentations with 1PD
Challenge: Tikla Gelsin’s promotional campaigns usually drive significant interest among its users, however, the platform faced challenges in getting users to meet its participation criteria. Many users struggled to reach Tikla Gelsin’s minimum basket value, which limited campaign engagement and potential revenue. To address this, Tikla Gelsin aimed to make the most of advanced data analytics and AI to better understand user behavior and improve the performance of its App campaigns for engagement (ACe).
incremental revenue
Approach: Tikla Gelsin used Google Analytics 4 (GA4) and the Google Cloud platform to build detailed user segmentation models based on its campaign objectives and effectiveness. Then it seamlessly integrated its personalized campaigns with user-based insights that were aligned with its creatives and campaign objectives to reach high-conversion, high-value audiences. These machine learning-derived segments were automatically updated daily via Google Ads Data Manager and a connection from BigQuery to Google Ads.
Partnering with SEM: SEM used raw data from GA4 to create detailed and tailor-made user segmentation and machine learning models on Google Cloud. It focused on first-party data (1PD) and Tikla Gelsin’s business and media objectives.
Results: Tikla Gelsin’s strategy enhanced its ACe while boosting conversions. The platform achieved a 177% increase in incremental revenue, a 185% boost in its return on investment (ROI), and a 144% lower cost per acquisition (CPA).