Retention Marketer

We are looking for a strong retention marketer who knows how to work with a large client base not only at the email-out level but also at the full CRM logic level: segmentation, auto-funnels, triggers, customer retention, and growth of repeat activity. Experience in high-load B2C online projects where it is important to react quickly to changes in user behavior, work with reactivation, and build different scenarios for individual segments is a must.

What the job involves: segmenting a large client base by activity, behavior, time since last action, customer value, and other criteria; building auto-funnels for different stages of the customer journey: registration, activation, first transaction (purchase/payment), repeat activity, retention, reactivation; setting up triggered communications and scenarios based on customer events; working with SMS, push, email, Telegram, and in-app personal account communications; developing mechanics with bonuses, cashback, promo codes, and personalized offers; analyzing funnel stage conversions and identifying points where customers are lost; cohort analysis and evaluating the behavior of different base segments; A/B testing of texts, offers, mechanics, and communication timing; analyzing the effectiveness of retention channels and individual campaigns; forming hypotheses for increasing repeat activity and LTV; setting tasks for analysts, designers, CRM, and IT specialists.

What is important to us: relevant experience in retention / CRM marketing; experience in building auto-funnels; experience working with a large base and complex segmentation; deep understanding of metrics: retention, reactivation, conversion, LTV, churn; ability to work with numbers and independently draw conclusions from campaign results; experience in Entertainment, GameDev, FinTech, or E-commerce with high transaction frequency will be a significant advantage; proactiveness and the ability to independently identify growth opportunities.

Especially important: confident use of AI tools. Not only for writing texts but also for accelerating analytics, preparing hypotheses, segmentation, personalizing communications, building scenarios, and automating routine tasks.