As Muffynn expanded its online store, the challenge wasn't attracting shoppers; it was helping them discover the right products, return to products they'd already considered, and convert at the moments that mattered most.
To create a more intuitive shopping experience, Muffynn partnered with Cooee to personalise key touchpoints across the customer journey using real-time behavioural signals.
The result was a connected onsite experience that improved product discovery and strengthened purchase intent.
Muffynn is an Indian lifestyle and fashion brand focused on creating products that combine everyday comfort with contemporary design. As the brand expanded its ecommerce presence, delivering seamless and personalised shopping experiences became increasingly important.
Rather than relying on static merchandising or blanket promotions, Muffynn wanted every customer interaction to feel relevant. By implementing Cooee’s AI-powered personalisation platform, the brand transformed its storefront into a dynamic shopping experience that responded to customer behaviour in real time, making it easier for shoppers to discover products, revisit items of interest, and complete their purchases.
These outcomes weren’t driven by a single campaign. They were the result of delivering personalised experiences that supported customers at different stages of their shopping journey—from discovering products for the first time to returning and completing a purchase.
The first challenge wasn’t convincing customers to buy; it was helping them discover the right products.
One of the strongest-performing experiences was the V2 Bestseller Promotion – PDP, which generated more than ₹6 lakh in attributed revenue while maintaining a 16% click-through rate.
Rather than overwhelming shoppers with hundreds of product choices, Bestseller Promotions highlighted products that had already proven popular with other customers. This reduced decision fatigue and helped visitors quickly identify products worth exploring.
The takeaway was clear: effective product discovery isn’t about showing more products; it’s about showing the right ones at the right moment.
Not every customer converts during their first visit.
Many shoppers browse products, compare options, and return later before making a purchase. Maintaining that momentum without forcing customers to start over became an important part of Muffynn’s personalisation strategy.
The Recently Viewed – PDP experience generated ₹3.32 lakh in attributed revenue by reminding returning shoppers about products they had already explored. Instead of introducing new recommendations, it reduced friction by allowing customers to seamlessly continue their buying journey.
The success of this experience reinforced a simple principle: behavioural context often matters more than generic product recommendations.
While discovery experiences generated engagement, the strongest commercial impact came much later in the customer journey.
Cart Recovery experiences consistently delivered conversion rates between 5% and 6.5%, making them the highest-converting on-site experiences across the store. The live implementation alone generated ₹4.56 lakh in attributed revenue, while another variation produced almost identical results, demonstrating that the strategy was both effective and repeatable.
Rather than persuading shoppers to begin their purchase journey, these experiences focused on customers who had already demonstrated strong buying intent. By reducing friction at the final stage, they consistently recovered revenue that might otherwise have been lost.
One of the most revealing findings came from an experience that achieved an exceptional 44% click-through rate but generated relatively little revenue.
At first glance, the result appeared contradictory. High engagement is often viewed as a sign of success.
However, the data highlighted an important distinction between attracting attention and driving business outcomes.
Customers were clearly interested enough to click, but something in the post-click journey prevented many from converting. Whether it was the landing experience, offer, or product selection, the results pointed to an optimisation opportunity beyond the widget itself.
For ecommerce teams, it’s an important reminder that meaningful optimisation requires analysing the entire customer journey and not just engagement metrics.
Perhaps the biggest takeaway wasn’t which individual experience performed best.
It was how each experience complemented the others.
Discovery-focused experiences helped shoppers navigate the catalogue more confidently.
Behaviour-based recommendations encouraged returning visitors to continue their shopping journey.
Cart Recovery experiences captured customers at the point of highest purchase intent.
Instead of operating as isolated merchandising tools, these experiences worked together to create a connected customer journey that adapted to shopper behaviour at every stage.
That collective strategy, and not a single high-performing widget, was what ultimately drove sustained business impact.
By aligning onsite experiences with customer intent, Muffynn achieved:
Muffynn's results show that meaningful growth comes from delivering the right experience at the right moment. By personalizing product discovery, re-engaging returning shoppers, and reducing friction at checkout, Cooee helped create a shopping journey that translated into measurable business outcomes.
Want to see how AI-powered onsite personalization can improve your store's performance? Get in touch with Cooee.