saas product
Qira
ROMI by 13%, CPC cost decreased by 33%
- Easter and Western Europe, USA
- 3 months
Solving the Problem:
Despite implementing top-notch marketing strategies, the conversion rates of app users were persistently low, as reported by the developers of this mobile application.
Our Strategic Approach:
Utilizing machine learning, we employed a predictive marketing segmentation strategy that had previously yielded excellent results. Through this approach, we categorized users based on their probability of taking specific actions in the future. Subsequently, we tailored our communication by sending relevant messages, designing creative campaigns, and providing personalized offers and pricing options to each micro-segment of users.
Value Delivered:
ARPPU growth by 7%, ROMI by 13%, CPC cost decreased by 33%
Results Achieved:
We employed an AI algorithm to effectively source a highly targeted audience and establish campaigns for advertisements.
