Scaling Month-on-Month Revenue for Flicka with Intent-Led Onsite Personalisation

About the Brand

Flicka is a fast-growing D2C beauty brand built for digitally native consumers who value high-performance products and strong visual storytelling. With healthy traffic volumes and strong product-market fit, the opportunity was clear: increase conversion efficiency without increasing acquisition spend or relying heavily on discounts.

Flicka partnered with Cooee to strengthen onsite conversion. The performance below reflects revenue contribution as optimisation efforts matured over time.

The Objective

Flicka approached Cooee with three focused goals:

• Increase conversions without heavy discounting
  
• Reduce bounce rates on key products and landing pages
  
• Drive consistent month-on-month revenue growth through onsite personalisation
  

The mandate was not to increase traffic. It was about extracting more value from the traffic already coming to the store.

The Strategy

Cooee implemented real-time, intent-led onsite experiences tailored to:

• Visitor type, such as new vs returning
  
• Cart state and purchase readiness
  
• Browsing depth and behavioural signals
  

Instead of static popups, experiences are dynamically adapted based on where users are in their buying journey.

Each use case was independently tested, measured, and optimised.

Key Use Cases Activated

• Intent-based product promotion pop-ups
  
• Engagement-driven GIF banners to reduce bounce
  
• A/B tested messaging for returning visitors
  
• Product-specific and combo nudges
  
• Shoppable videos and embedded product journeys
  
• Festive and sale-led onsite campaigns
  

Optimisation was iterative. As learnings compounded, targeting precision improved.

Revenue Contribution Over 5 Months

Revenue influenced by Cooee experiences:

• July: ₹8.4L
  
• August: ₹14L
  
• September: ₹19L
  
• October: ₹44L
  
• November: ₹84L
  

This reflects revenue from sessions where Cooee experiences directly influenced the conversion journey.

As segmentation matured and experimentation cycles shortened, contributions accelerated month over month.

Store-Level Impact Snapshot (September)

• 12.78% of total store orders influenced by Cooee
  
• 14.17% of total store revenue driven by Cooee
  
• 4.58% conversion rate from Cooee-powered sessions
  

On-site optimisation evolved from tactical experiments into a meaningful revenue channel.

Top Performing Use Cases

Intent-Based Product Promotion

Targeted mid-intent visitors on high-traffic product pages, improving assisted conversions at critical decision points.

Engagement-Driven GIF Banners

2.6K orders | ₹2.9M in revenue

Reduced bounce rates while increasing add-to-cart engagement through non-intrusive visual triggers.

A/B Tested Experiences for Returning Visitors

603 orders | ₹6.77L in revenue

Personalised messaging based on familiarity and purchase readiness improved repeat conversion efficiency.

What Changed

Before Cooee, onsite optimisation efforts were fragmented across multiple tools and execution layers.

With Cooee:

• Personalisation, experimentation, and optimisation were consolidated
  
• Execution became continuous rather than campaign-based
  
• Revenue attribution became measurable at the experience level
  

The result was not just higher conversion, but a structured and scalable onsite growth engine.