About the Client

Founded in 2022 by Tanya Aggarwal, Muvazo is a premium Indian athleisure brand offering comfortable, minimalist, and sustainable apparel for women, men, and kids. Built on a digital-first approach with vertical manufacturing and strong influencer collaborations, the brand is rapidly expanding its presence across India. 

Challenges

As a rapidly growing athleisure brand, Muvazo faced challenges in customer retention and repeat purchases amid frequent launches and competition.

• Delivering personalized communication to diverse customer segments with varying shopping behaviors, regional preferences, and engagement patterns.
• Maintaining consistent customer engagement across launches, festive campaigns, promotional periods, and collection drops without causing audience fatigue.
• Recovering abandoned carts and re-engaging inactive users efficiently across multiple touchpoints and channels.
• Limited automation resulting in missed repeat purchase opportunities..
• Managing customer queries, recommendations, and engagement at scale while maintaining quick response times and seamless user experiences.
• Identifying high-performing creatives, communication styles, and influencer-led content that resonated with different audience groups.
• Scaling WhatsApp marketing campaigns profitably without negatively impacting ROI, engagement rates, or customer experience.
• Improving customer retention, repeat purchase rates, and long-term customer lifetime value.

Strategies

To address retention challenges, a data-driven strategy for Muvazo focused on personalization, automation, AI engagement, testing, and optimization continuously improved the key metrics.

1. Advanced Audience Segmentation for Personalized Communication

Segmented customers using purchase history, browsing behavior, engagement, geography, and seasonal trends to deliver highly personalized communication and improve repeat purchases.

2. Retention Campaigns Around Launches, Collections & Promotional Moments

Executed retention campaigns around product launches, seasonal collections, festive promotions, and shopping events to maintain engagement, increase brand recall, drive repeat purchases, and maximize customer lifetime value across channels.

3. Implementation & Optimization of Automated Customer Journeys

Built and optimized automated customer journeys including welcome flows, abandoned cart recovery, browse abandonment, win-back campaigns, repeat purchase reminders, and post-purchase nurturing to improve lifecycle engagement and conversion performance.

4. Integration of AI Chatbots Within Retention Journeys

Integrated AI-enabled chat support for product recommendations, FAQs, and customer assistance to improve engagement and response time.

5. Data-Driven Testing & WhatsApp Campaign Optimization

Conducted A/B testing across campaigns and implemented WhatsApp micro-batching to evaluate performance on smaller audience groups before scaling, improving ROI, reducing risk, and optimizing campaign profitability and engagement rates.

6. Testing & Optimization of Influencer-Led Creatives

Tested influencer-generated creatives across retention campaigns to analyze engagement, conversions, click-through rates, messaging styles, and creator performance, using insights to optimize future campaigns and improve retention effectiveness.

Results (Dec’25 to May’26)

Over the six-month engagement period, we implemented a comprehensive retention marketing strategy focused on customer lifecycle automation, audience segmentation, and personalized WhatsApp communication. 

By continuously analyzing campaign performance and optimizing messaging, creative assets, and audience targeting, we were able to improve customer engagement at every stage of the buying journey. 

A. Click Performance Growth

• Click volume increased by over 35% over 6 months from Dec’25 to May’26 through targeted retention campaigns and optimized WhatsApp communication.
  
• Audience segmentation and launch-focused messaging significantly improved campaign engagement across key shopping periods.
• Continuous testing of creatives and communication styles helped scale high-performing customer interactions efficiently.

B. Order Volume Improvement

• Achieved over 155% growth in order volume through lifecycle automation and retention-focused campaigns.
  
• Automated customer journeys, including abandoned cart, win-back, and repeat purchase flows, improved conversion consistency.
• Seasonal launches and promotional campaigns contributed to stronger repeat purchase behavior.

C. Sales Growth

• Sales performance increased by nearly 146% through personalized retention communication and collection-focused campaigns.
  
• Festive and promotional retention campaigns helped maximize customer lifetime value and repeat revenue contribution.
• High-intent audience targeting improved overall conversion quality and purchase frequency.

D. CAC Optimization

• Campaign CAC improved by more than 86% through WhatsApp micro-batching and performance-led scaling.
  

• Continuous A/B testing and audience refinement helped improve campaign profitability and reduce inefficient spend allocation.
• Data-driven retention strategies enabled stronger returns while maintaining scalable customer engagement.

E. Average Order Value (AOV) Stability

• Maintained a consistently strong AOV across high-performing months through curated product communication and upselling strategies.
• Personalized product recommendations and collection-focused messaging supported higher basket sizes.
• Premium positioning and targeted retention campaigns contributed to stable high-value purchases.

Key Takeaways

• 155% growth in order volume driven by automated lifecycle journeys, including abandoned cart recovery, win-back campaigns, repeat purchase reminders, and post-purchase nurturing.
• 146% increase in sales through personalised customer communication, launch-focused campaigns, and high-intent audience targeting.
• 35% growth in campaign clicks enabled by advanced audience segmentation, personalised messaging, and continuous creative optimisation.
• 86% improvement in Customer Acquisition Cost (CAC) through performance-led campaign optimisation, audience refinement, and efficient WhatsApp scaling.
• Consistently strong Average Order Value (AOV) maintained through personalised product recommendations, curated collection campaigns, and strategic upselling.
• Scalable retention engine established through lifecycle automation, AI-enabled customer engagement, and continuous testing, resulting in stronger repeat purchases and long-term customer value.

See how Muvazo achieved scalable retention growth through advanced segmentation, automated customer journeys, WhatsApp marketing, and AI-driven engagement strategies. 

Looking to improve customer retention and maximize repeat purchases? Connect with Cybez for a free retention marketing audit and discover how automation, segmentation, and personalized communication can accelerate customer lifetime value and profitable growth.