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87
Applications:  28
Recruiter Actions:  8

Job Code

1665863

NimbusPost - Customer Lifecycle & Growth Specialist

Posted 2 weeks ago
Posted 2 weeks ago

Job Description:

Were looking for a Customer Lifecycle & Growth Specialist who can bridge acquisition and retention - crafting data-driven journeys that move users from curious to converted, and from first-time users to loyal advocates.

Youll own the customer funnel end-to-end: from identifying where potential drops off, to designing lifecycle campaigns that re-engage, convert, and grow.

What Youll Do:

- Drive Conversions: Analyze the full acquisition funnelfrom lead to activation to repeatand identify key drop-offs across channels, journeys, and personas.


- Plug Journey Gaps: Map the current customer lifecycle and propose journey enhancements to reduce friction and improve activation/conversion rates.

- Retention Campaigns: Design and run full-funnel lifecycle campaigns across email, SMS, WhatsApp, RCS, web and app push notifications.

- Behavioral Segmentation: Use customer data to create hyper-targeted segments based on usage, frequency, recency, order value, engagement history, etc.

- Journey Automation: Build and optimize automated journeys for onboarding, conversion nudges, re-engagement, upsell, and churn win-back.

- Experiment Relentlessly: Plan and execute A/B tests across messaging, creatives, time-of-send, CTAs, and channels to improve outcomes.

- Conversion Metrics Tracking: Monitor KPIs like CAC:LTV ratio, churn, funnel conversion %, and user engagement metrics.

- Work Cross-Functionally: Collaborate closely with product, growth, tech, and sales teams to align lifecycle communication with broader goals.

What You Bring:

- 2-4 years of experience in lifecycle marketing, CRM, or growth-focused roles.

- Strong command over multi-channel retention platforms (like MoEngage, CleverTap, WebEngage, etc.

- Experience improving conversion rates across acquisition journeys and lifecycle stages.

- Deep understanding of customer funnels, cohort analysis, RFM modelling, and user segmentation.

- A love for data: Youre comfortable in dashboards, not afraid of SQL, and have a track record of being numbers-first.

- Working knowledge of A/B testing, behavioural psychology, and engagement best practices.

- Bonus: Experience with tools like GA4, Mixpanel, Looker, or product analytics suites


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Posted by

Job Views:  
87
Applications:  28
Recruiter Actions:  8

Job Code

1665863