How Fila Built a Signal-Led Engine for Cross-Sell and Repeat Engagement

As Fila’s D2C business scaled, we needed engagement to become sharper, more responsive, and more connected to customer behavior. WebEngage helped us build that operating rhythm. We could use interest signals across SMS, WhatsApp, recommendations, and drip journeys to make every follow-up more relevant and every campaign more purposeful.

Rohit Shiva

D2C Head - Ecommerce, Fila - Metro Brands

As Fila’s D2C business scaled, we needed engagement to become sharper, more responsive, and more connected to customer behavior. WebEngage helped us build that operating rhythm. We could use interest signals across SMS, WhatsApp, recommendations, and drip journeys to make every follow-up more relevant and every campaign more purposeful.

Rohit Shiva

D2C Head - Ecommerce, Fila - Metro Brands

66%

Uplift in Average Order Value

2X

Peak AOV performance

3.6X

Apparel sales growth

Summary

Fila, one of the world’s most recognized sportswear and lifestyle brands, used WebEngage to make lifecycle engagement more signal-led. Known for footwear, apparel, and athleisure products, Fila had a clear opportunity within Metro Brands’ digital portfolio: use customer-interest signals across channels and guide users toward stronger repeat engagement and higher basket value.

To make this happen, Fila partnered with WebEngage.

Turning Customer Signals into Clear Next Steps

Fila’s engagement model evolved to reflect how customers actually interacted with the brand. Instead of treating campaigns as isolated pushes, the team began using behavioral signals to guide every follow-up. A click indicated active interest. A footwear purchase triggered apparel discovery. A browsing session became the starting point for a structured journey.

With WebEngage, Fila built journeys that responded to these signals in real time. SMS was used to initiate product or category-led conversations. Click behavior helped identify high-intent users. WhatsApp was then used to re-engage these users with more contextual follow-ups. Personalized recommendations ensured that each interaction felt relevant, while drip journeys maintained continuity across the decision-making window.

This approach gave Fila a more agile engagement framework. Each message was informed by prior behavior, making communication more purposeful. The result was a lifecycle system designed to drive repeat engagement, improve retargeting precision, and expand baskets through relevant product discovery.

Making Cross-Sell the AOV Lever

Fila’s product mix naturally supported cross-sell. Customers purchasing footwear were already demonstrating strong intent, creating an opportunity to introduce complementary apparel and lifestyle products.

WebEngage enabled Fila to embed cross-sell into its lifecycle journeys. Purchase events triggered apparel-focused follow-ups, helping customers explore beyond their initial category. Recommendations were tailored based on browsing patterns, campaign interactions, and individual preferences such as size and style.

This made product discovery more intuitive for customers and more effective for the business. Footwear buyers were introduced to matching apparel. Engaged users received targeted follow-ups aligned with their interests. High-intent users were nudged at the right time within their purchase window. Repeat customers were guided toward curated collections that matched their evolving preferences.

Fila - results card

Building a Repeatable Lifecycle System

A key strength of Fila’s strategy was consistency. Engagement was no longer campaign-led but journey-led. SMS initiated conversations. WhatsApp deepened engagement with interested users. Recommendations supported discovery. Drip campaigns ensured continuity. Winback journeys reactivated users who had gone inactive.

Segmentation was driven by meaningful behavioral signals. The team could act on user interactions, engagement recency, category preferences, purchase history, and inactivity windows. Users who had not engaged for extended periods were moved into reactivation journeys, while active users received timely and relevant follow-ups.

This made each journey more precise and actionable. It also gave the team better visibility into what was working. Customer behavior directly influenced channel selection, timing, and messaging. Each channel played a defined role, making the overall engagement strategy more cohesive and effective.

The Bigger Picture

For Fila, engagement became more dynamic and closely tied to customer intent. WebEngage helped transform scattered interactions into a structured lifecycle system focused on driving higher basket value, improving retargeting efficiency, and strengthening repeat purchase behavior.

Every interaction became an opportunity to guide the customer forward. Every purchase opened the door for deeper engagement. Every signal contributed to a more connected experience. Together, WebEngage and Fila built a system where engagement was not just frequent, but meaningful.

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