Bunny Hops to Bigger Baskets: R for Rabbit’s AOV & Conversion Wins with WISER AI
R for Rabbit successfully leveraged WISER’s cutting-edge AI for measurable gains in both revenue and customer satisfaction.
- Increase in conversion
- Increase in AOV
- Increase is Sales
- Boost in customer engagement
- EGP Wiser Generated Sales
Brand Overview - R for Rabbit
R for Rabbit was born in 2014 out of the real-life parenting concerns faced by its founders after the birth of their daughter. Frustrated by the lack of safety-certified and high-quality baby products in the market, they decided to create a brand. R for Rabbit is a leading Indian brand that specializes in innovative, safe, and quality baby products, serving over 5 million customers. Their mission is to make parenting easy and joyful through superior products and customer experience.
Challenges Faced By R for Rabbit
Overwhelming product Catalog - expansive product range for baby care, made it difficult for the diverse customer base to find relevant products quickly among a host of product choices.
Scalability - Manual curation of recommendations for growing customer base became unsustainable. This prompted the need for a more intuitive way to discover the right products to make each customer’s journey more relevant and seamless.
Need for real - time data-driven decisions - The tools used to understand large scale real time data insights on customers behaviour was time-consuming and limits the ability to quickly adapt to evolving demands.
Personalized Expectation - Modern customers expect a shopping experience tailored to their individual needs. With static and generic recommendation it became impossible to provide satisfaction, hence lesser customer retention.
Competitive pressure - As many players have entered the baby care product segment differentiating the brand from others by offering smarter, intuitive experiences was getting difficult.
R for Rabbit - Critical Solution
While addressing these challenges R for Rabbit realised that the problem is not just the product offerings, but the customer experience as well. Hence, they needed a more intuitive way to make each customer’s journey more relevant and seamless.
They saw an opportunity that by surfacing relevant, complementary products throughout the customer journey they can boost both conversion rates and average order value. And, this is something only a sophisticated AI recommendation engine could deliver efficiently. That’s when they turn to the AI product recommendation app.
The app leverages AI and advanced data analytics, to identify the “whitespace” opportunities in real time, allowing the brands to recommend products tailored to each customer’s browsing behavior and preferences. WISER deploys intelligent, context-aware recommendations at every stage of the shopping experience, making it effortless for customers to find, explore, and purchase the right products
This strategy not only improves customer satisfaction but also strengthens retention and fuels the brand’s growth in a competitive market.
Implementation - How R for Rabbit Used WISER AI For Its Advantage?
R for Rabbit integrated WISER’s advanced AI-powered product recommendation widgets and leveraged the following features -
AI Frequently Bought Together
The brand used WISER’s Frequently Bought Together feature to transform the shopping experience for parents, making it easier for them to discover and purchase complementary products in a single, seamless flow.
By analyzing real purchase data, WISER’s AI identified which items were commonly bought together for example, pairing a stroller with a rain cover or a feeding bottle with a sterilizer, and showcased these bundles directly on product and cart pages. This makes it seamless for shoppers to add complementary products to the cart in one click.
How the Feature Works
AI-Driven Bundling: WISER’s engine uses collaborative filtering and analyzes browsing and purchase histories to recommend product combinations that have been popular with other customers.
Placement on Key Pages: R for Rabbit displayed these recommendations on product pages, cart pages, and even at checkout, ensuring maximum visibility and impact throughout the shopping journey.
Read about AI Frequently Bought Together feature in detail.
Cart Page Recommendations
WISER’s cart page recommendation feature integrated by the brand enhanced the shopping experience at a critical decision point i.e. right before the checkout. By displaying personalized product suggestions directly on the cart page and in the cart drawer, the brand was able to nudge customers toward relevant add-ons and complementary products, maximizing the value of every transaction.
How the Feature Works
AI-Powered Personalization: WISER’s engine analyzes browsing patterns, purchase histories, and real-time cart contents to generate highly relevant product recommendations for each shopper.
Strategic Placement: Recommendations are displayed on both the main cart page and the slide-out cart drawer, ensuring maximum visibility without disrupting the user shopping flow.
Know in detail about WISER’s Cart Page Recommendations here.
Outcomes Post Implementation of WISER Widgets
- Increased Average Order Value (AOV): By surfacing related products and frequently bought together items on individual product pages, drawer cart and main cart page. The brand encouraged shoppers to add more items to their carts, resulting in a 10% boost in AOV with every transaction and 22% increase in conversion.
- Enhanced opportunities of Smart Upsell and Cross-Sell: By recommending logical add-ons and bundles based on actual buying patterns and targeted customers who were already in a purchase-ready mindset, R for Rabbit was able to upsell and cross-sell products naturally, more effective and timely, fitting into the customer’s journey rather than disrupting it.
- Improved Product Discoverability: The Brand witnessed a 38% boost in customer engagement as the parents often discovered useful accessories or upgrades easily, like a stroller organizer or bottle sterilizer, that they might have otherwise overlooked. Thanks to the AI-driven suggestions to highlight complementary items right when the shopper was most likely to consider them on product page or on the cart page.
- Frictionless Shopping Experience: With the ability to add recommended products to the cart in one click, the process became quicker and more convenient. This reduced decision fatigue and minimized cart abandonment rate for the store.
Overall Impact On the Business
- Boost in Revenue: The strategic placement and relevance of these recommendations on product and cart pages led to higher conversion rates and increased total revenue, as more customers opted to purchase additional items before completing their orders.
- Enhanced Personalization: AI-driven, context-aware recommendations made the shopping experience feel tailored and intuitive, fostering greater brand loyalty and repeat purchases.
- Enhanced Customer Satisfaction: Shoppers appreciated the thoughtful, relevant suggestions, which made their buying decisions easier and more informed, fostering greater loyalty to the brand.
- Data-Driven Optimization: Continuous A/B testing and journey mapping enabled R for Rabbit to fine-tune its recommendation strategy, ensuring ongoing improvements in performance and customer satisfaction. Check the link to know how WISER’s A/B Testing works.
Key Takeaways
- WISER’s AI-powered recommendations transformed R for Rabbit’s e-commerce experience, making product discovery seamless and driving higher sales.
- Advanced upsell and personalization features not only increased AOV but also strengthened customer engagement and loyalty.
- The ability to test and optimize every touchpoint ensured that R for Rabbit could adapt quickly to changing consumer behavior and preferences.
By partnering with WISER, R for Rabbit successfully leveraged cutting-edge AI to address its business challenges, resulting in measurable gains in both revenue and customer satisfaction. That’s the power of intelligent product recommendations in modern e-commerce, especially for brands with extensive and diverse product lines.
