social network
Livateck
Attracted users with 83% ROI and increased CTR by 23%
- Easter and Western Europe, USA, Canada, India
- 8 months
Solving the Problem:
The client discovered that despite their exceptional marketing efforts, conversion rates remained low while website clicks were high. Additionally, their attempts to target specific geographical audiences did not yield the desired outcomes.
Our Strategic Approach:
We employed machine learning (ML) for predictive marketing segmentation, categorizing users based on their likelihood to take future actions. This approach allowed us to determine if a user is likely to become a regular customer, churn, switch to a competitor, or increase their budget for additional services. This advanced form of segmentation proved more potent and efficient than simply clustering all men aged 20-35. Armed with this information, we crafted personalized targeting strategies to deliver the right offers to the right users, optimizing our client’s marketing budget and enhancing their Return on Ad Spend (ROAS).
Value Delivered:
Results Achieved:
Users were attracted with a remarkable 83% return on investment (ROI) and witnessed a notable 23% increase in click-through rate (CTR).
