Adikteev
Adikteev helps mobile app marketers reduce churn and maximize user lifetime value through AI-driven retargeting campaigns that re-engage at-risk users with personalized, performance-optimized creatives.
Last updated May 15, 2026 by ATDb automated enrichment · Connections updated May 18, 2026
- Industry
- Mobile App Retargeting & User Retention
- Business Model
- Managed Service / Performance-based
- Target Market
- Mid-Market and Enterprise
- Employee Count
- 51-200
- Funding
- venture-backed
- Revenue Range
- $10M-$50M
- API Available
- Limited
Top independent mobile app retargeting specialist, consistently ranked among leading retargeting partners in AppsFlyer's Performance Index
Adikteev is a Paris-based AdTech company specializing in mobile app retargeting and user retention. Founded in 2012, the company helps mobile app publishers and marketers combat user churn by identifying at-risk users and delivering personalized re-engagement campaigns across mobile channels. Their platform combines predictive churn modeling, audience segmentation, and dynamic creative optimization to maximize the lifetime value of existing app users rather than relying solely on costly new user acquisition. At the core of Adikteev's offering is its proprietary machine learning engine, which analyzes behavioral signals to predict which users are most likely to churn and determines the optimal time, channel, and creative to re-engage them. The platform supports a wide range of verticals including gaming, e-commerce, on-demand services, and entertainment apps. Adikteev operates on a performance-driven model, aligning its incentives with client outcomes such as return on ad spend (ROAS) and incremental revenue. Adikteev has established itself as one of the top independent mobile retargeting specialists globally, competing with larger DSPs and specialized retargeting players. The company has been recognized in industry rankings, including AppsFlyer's Performance Index, and serves major app publishers across Europe, North America, and Asia. Its focus on incrementality measurement and privacy-compliant targeting has become increasingly important in a post-IDFA, privacy-first mobile ecosystem.
App Retargeting
Programmatic retargeting campaigns targeting lapsed or at-risk app users across mobile ad exchanges with personalized creatives
Churn Prediction Engine
Proprietary ML model that scores users by churn probability, enabling proactive re-engagement before users fully disengage
Dynamic Creative Optimization (DCO)
Automated generation and optimization of personalized ad creatives tailored to individual user behavior and preferences
Incrementality Measurement
Ghost bidding and holdout group methodologies to measure the true incremental lift of retargeting campaigns
Audience Segmentation
Granular segmentation of app user bases by behavioral signals, lifecycle stage, and predicted value