
Posted 1 month ago
GM - Growth & Retention
AI Summary
Owns growth and retention metrics (MTU and LTV) end-to-end, breaking down funnels, setting analytical frameworks, running experiments, and coordinating cross-functional stakeholders to drive user acquisition, retention, and monetization.
About this role
About Stable Money
Stable Money is India’s leading fixed investment platform. It is a marketplace which helps customers discover and invest in high-quality fixed-income products such as Fixed Deposits (FDs), RD, Bonds, Credit Cards, Mutual Funds from trusted institutions. Stable Money has 30 lac+ trusted investors, 2000cr+ bookings since inception and is backed by marquee investors such as Z47, Lightspeed, Fundamentum, Matrix Partners, RTP Global to name a few
Role: Growth & Retention: General Manager
Job Description:
Candidate has 2 mandates:
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Monthly Transacting users (MTU): Break and drive each part of the funnel: New user conversion, Repeat user retention, Dormant user reactivation.
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LTV: Improving the LTV of every user acquired on the platform: frequency building and Cross-sell
Roles & Expectations:
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MTU:
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Planning & governance of the metric – Breakup of the metric (Cohort, Traffic, Conversion), Inputs which influence the metric and Daily/Weekly trends
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Solutioning on Product nudges in discovery behaviours across the entire journey on the app
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Analytical framework to understand Traffic breaking by multiple user-segments
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End to end ownership: Do what it takes to move the metric by working with stakeholders across Marketing, Comms, Merchandising, Product and Category to move the metric
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Plan for backup plans if metric is not on Track
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LTV:
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Define the LTV across multiple categories
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Break problem statement into sub-problems and drive it by working with owners of each sub-metric
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Cohort-wise tracking and solutioning to improve the metric
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Preferred Candidate:
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3-4 years of post-MBA or 5-6 years of post UG work experience across Management Consulting (or) Consumer strategy / Consumer facing Product in Consumer tech companies
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First-principled thinking: building hypotheses of factors influencing target metric, learnings from past successful/ failed experiments and designing new solutions.
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Consumer thinking to design consumer-backward offerings/ purpose-built journeys
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Data-first thinking to interpret trends and conclude insights post bias-removal.
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Should have a P&L thought process, trade-offs that need to be made and impact of various decision
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Strong execution rigour - bias for action while also being comfortable in ambiguous environments
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Ability to effectively communicate across stakeholders across functions and positions
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Has worked in a cross functional environment having managed stakeholders including peers, seniors, juniors on whom there is high dependency to deliver one’s own goals
Skills
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