FIND_THE_RIGHTJOB.
Mumbai, India
About Us:
The Sleep Company is redefining comfort with innovation. As one of India’s fastest-growing D2C brands, we blend science and sleep to deliver award-winning products loved by thousands. We're now scaling tech to match our growth and that's where you come in.
Customer Retention (Multi-Channel) :
- Design and execute comprehensive retention strategies across email marketing, SMS, WhatsApp and customer success touchpoints
- Develop and manage customer lifecycle campaigns to increase repeat purchases and customer lifetime value
- Create and optimize loyalty programs and customer engagement initiatives
- Implement win-back campaigns for dormant customers and churn prevention strategies
- Coordinate with customer success teams to create seamless retention experiences
- A/B test retention messaging, timing, and channel mix for optimal engagement
Lead Generation & Optimization :
- Analyze website user behavior to identify and optimize key lead generation touchpoints
- Implement comprehensive data collection strategies across all customer interactions
- Design and deploy lead magnets, content offers, and value exchanges throughout the customer journey
- Optimize website conversion points including forms, pop-ups, exit-intent captures, and progressive profiling
- Create systematic approaches to capture visitor information at various engagement levels
- Develop referral programs and advocacy initiatives to generate organic leads
- Implement behavioral triggers and smart data collection based on user actions
Leads to Store Visit Conversion :
- Develop sophisticated customer segmentation and cohort analysis to identify high-potential store visit candidates
- Create targeted campaigns that drive qualified online leads to physical store locations
- Design personalized customer journeys that bridge digital engagement with in-store experiences
- Implement location-based messaging and inventory-driven store visit campaigns
- Develop appointment booking and consultation request systems
- Create incentive structures and promotional strategies to encourage store visits
- Track and optimize online-to-offline conversion funnels
Data Strategy & Analytics :
- Build comprehensive customer data collection and management systems
- Develop advanced segmentation models based on behavior, preferences, and purchase patterns
- Create cohort analysis frameworks to understand customer lifecycle patterns
- Implement predictive modeling to identify customers most likely to visit stores or make repeat purchases
- Design attribution systems to track multi-touchpoint customer journeys
- Generate actionable insights from customer data to inform strategy decisions
- Maintain data hygiene and ensure compliance with privacy regulations
Required Qualifications :
- Bachelor's degree in Marketing, Data Science, Business, or related field
- 5+ years of experience in growth marketing, CRM, or customer lifecycle management
- Strong experience with customer segmentation and cohort analysis
- Proficiency in analytics tools (Google Analytics, Mixpanel, Amplitude, etc.)
- Experience with CRM systems and customer data platforms (CDP)
- Knowledge of website optimization and conversion rate optimization (CRO)
Preferred Qualifications :
- Experience in retail or e-commerce, preferably furniture/mattress industry
- Knowledge of omnichannel customer journey mapping
- Experience with loyalty program management
- Familiarity with customer success and retention best practices
- Experience with A/B testing and statistical analysis
Key Skills :
- Data-driven decision making and analytical thinking
- Customer-centric mindset with deep understanding of user behavior
- Strong project management and cross-functional collaboration
- Excellent communication skills for presenting insights and recommendations
- Creative problem-solving for customer engagement challenges
- Detail-oriented approach to data collection and campaign execution
- Understanding of sleep industry customer purchase patterns and decision-making process
Success Metrics :
- Customer retention rate improvements across all cohorts
- Increase in lead capture rates from existing website traffic
- Growth in customer lifetime value (CLV)
- Improvement in online-to-store visit conversion rates
- Enhanced customer data collection and profile completeness
- Increase in repeat purchase rates and purchase frequency
- Reduction in customer acquisition cost through referral and retention programs
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