Optimization Specialist

24 hours ago

Kannur, Kerala, India beBeeEngagement Full time ₹ 80,00,000 - ₹ 1,20,00,000
Job Title: Engagement Optimization Specialist

The role of Engagement Optimization Specialist sits at the intersection of marketing, product, and analytics.

This individual will own and scale in-app user engagement, retention, and loyalty strategies that increase app usage, session time, and repeat behavior among the existing user base.

  • Key Responsibilities:
  • Design and execute app engagement strategies to boost DAU, MAU, and session duration.
  • Develop gamification-led experiences to drive repeat usage and behavioral stickiness.
  • Implement referral programs with users and employees to increase top funnel and create a new acquisition channel.
  • Design engagement models for referred users to drive engagement and initial business outcomes.
  • Identify and implement loyalty and rewards frameworks to recognize and retain high-intent users.
  • Leverage in-app behavioral data to understand user intent signals and cross-product affinities.
  • Develop automated engagement journeys across push notifications, in-app messaging, WhatsApp, SMS, and other owned channels.
  • Conceptualize and execute reactivation workflows for dormant or inactive users.
  • Define and own core KPIs: returning user %, engagement frequency, feature repeat rate, retention cohorts, and churn recovery rate.
  • Partner with Product and Design to implement in-app features that reinforce engagement (missions, progress bars, badges, etc.).
  • Conduct ongoing A/B experiments to optimize lifecycle touchpoints based on user cohort behavior and engagement goals.
  • Explore brand partnerships that offer mutual value to increase app engagement and user delight.
Requirements:
  • Previous experience in BFSI and Fintech sectors.
  • 3–5 years of experience in lifecycle marketing, CRM, growth, or product marketing, preferably in fintech, D2C, or consumer apps.
  • Strong understanding of fintech consumer motivations, especially in underserved or first-time credit segments.
  • Proficiency in analyzing user journey data to define product affinity, intent segments, and retention triggers.
  • Familiarity with marketing automation and analytics tools such as MoEngage, WebEngage, Clevertap, Mixpanel.
  • Ability to work cross-functionally with Product, Data, Design, and Content teams to deliver seamless execution.
  • Experience in designing and tracking loyalty metrics, engagement frameworks, and reporting dashboards.
What Success Looks Like:
  • Increase in returning user base and app re-engagement rates.
  • Consistent improvement in DAU, MAU, and session time.
  • Loyalty mechanisms that drive feature repeatability.
  • Higher adoption of cross-sell products through in-app journeys.
  • Reduced churn and improved reactivation of dormant users.

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