Retention Manager Product Growth

Job type: Full Time

Department: Business

Work type: In office

Location: Bangalore Division, Karnataka, India

Location: Bangalore (Office HSR Layout)

Department: CRM / Growth

Experience: 5-8 years

What You Will Own

- Retention Strategy: Build and drive the retention roadmap across new, repeat, dormant and high-value user cohorts.
- User Behaviour Insights: Deep-dive into user behaviour, cohorts, frequency, repeat patterns and LTV to identify the biggest retention opportunities.
- Product-led Retention: Design and scale interventions such as subscriptions, loyalty/reward systems, personalisation, pricing/discounting and repeat-use experiences.
- Experimentation: Build a continuous experimentation pipeline identify hypotheses, define success metrics, launch experiments and measure incremental impact.
- Reactivation Frequency: Identify opportunities to bring dormant users back and increase the frequency of existing users through product and engagement interventions.
- Cross-functional Execution: Partner closely with Product, CRM, Data, Design and Business teams to take retention initiatives from insight PRD/experiment launch measurement scale.
- Retention Measurement: Build frameworks to understand the impact of retention initiatives on repeat rate, frequency, revenue, contribution margin and LTV.

Key Responsibilities 1. Diagnose Retention Problems
- Analyse retention and repeat behaviour across user, category, product, deity, geography, platform, acquisition source and other relevant dimensions.
- Identify where and why users drop off across their lifecycle.
- Translate data into clear behavioural insights and actionable opportunities.

2.



Build Retention Solutions
- Convert insights into product, loyalty, personalisation and lifecycle hypotheses.
- Work with Product and CRM teams to design solutions that address specific user needs and behavioural gaps.
- Prioritise opportunities based on expected user and business impact.

3. Run a Strong Experimentation Engine
- Own the retention experimentation roadmap.
- Define hypotheses, control/treatment groups, success metrics and measurement frameworks.
- Evaluate experiments based on incremental impact, not just engagement metrics.
- Scale successful interventions and quickly learn from unsuccessful ones.

4. Improve Repeat Lifetime Value
- Develop strategies to increase repeat transactions and user frequency.
- Identify opportunities to move users from first transaction repeat high-frequency behaviour.
- Build interventions that improve long-term user value rather than short-term conversion alone.

5. Build Retention Intelligence
- Develop and maintain retention dashboards and reporting frameworks for daily/weekly decision-making.
- Track key metrics including retention, repeat rate, frequency, reactivation and LTV.
- Establish clear measurement frameworks for major retention initiatives.

What We're Looking For
- 6-8 years of experience in growth, retention, product growth,



lifecycle, consumer internet or related roles.
- Strong experience solving consumer retention and engagement problems through data and experimentation.
- Strong analytical ability with hands-on experience in cohort analysis, funnel analysis, retention metrics and LTV/business impact analysis.
- Strong product sense able to identify user problems and translate them into product or growth opportunities.
- Experience running A/B tests and growth experiments end-to-end.
- Understanding of CRM/lifecycle marketing and how communication can complement product-led retention.
- Comfortable working with SQL, product analytics and dashboards such as Mixpanel, Metabase, Superset or equivalent tools.
- Strong cross-functional skills able to work effectively with Product, Data, Design, CRM and Business teams.
- Bias towards action, experimentation and measurable outcomes.
- Ability to operate in ambiguity and independently identify and solve high-impact problems.

What We're Looking For to Make You Successful

You should naturally think in a loop:

- Understand user behaviour
- Identify the retention problem
- Form a hypothesis
- Build the right intervention
- Experiment
- Measure incremental impact
- Scale

You should be equally comfortable discussing:

- Why a user did not return
- What behavioural segment is most valuable

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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