EVERNILE

Implementing Cross-Sell & Up-Sell Strategy

Product recommendations and bundling can boost sales by 30%

- Leverage customer insights and behavioral data to craft a personalized cross-sell and upsell framework, driving revenue growth

The Approach

Making it Happen

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By harnessing customer insights, transaction histories, and behavioral data, we can construct a nuanced understanding of individual preferences. A number of advanced algorithms can be combined, major ones being:

Collaborative Filtering: Recommending based on similar user tastes
Content-Based Filtering: Suggesting items with features akin to past interests
Association Rule Mining: Identifying patterns in co-purchased items
Context-Aware Recommenders: considering contextual factors such as location, device type for more relevant suggestions.

Successfully implementing a cross-sell and up-sell strategy entails seamlessly integrating personalized insights into the customer journey. This involves deploying personalized email campaigns, in-app suggestions, and optimizing app merchandising. Simultaneously, collaborating with marketing teams to synchronize digital campaigns can ensure a harmonious and customer-centric approach.

Developed a multi-label classifier for an ecommerce marketplace, predicting a customer's likelihood to purchase in specific categories and ranking probabilities for targeted activations. This included strategic coupon-led campaigns driving category acquisitions and crafting personalized notifications based on top categories.

A/B testing revealed an impressive ~8% uplift in conversions, ~5% improvement in notification click rates, with an ROI of 6 factoring in increased GMV offset by coupon discount spends.