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₹24M+ Revenue, 16K+ Orders: Phool's Intent-Led Transformation

About Phool

Phool collects flowers offered at temples. Flowers usually destined for rivers, headed for waste and transforms them into natural incense, organic colours, and sustainable home products. It's a brand with a genuinely remarkable origin story, a loyal following, and strong organic traffic from consumers who actively seek it out.

That last part matters. Phool's visitors weren't cold. They arrived with awareness, often with intent. Which made what was happening onsite all the more costly.

The Problem

Every month, over 5 lakh visitors landed on Phool's store. Most left without buying.

The products were solid. The brand had real pull. What didn't work was the onsite experience. Five gaps, each draining revenue at a different point in the funnel:

Individually, each of these is a conversion problem. Together, they are a system problem. And for a brand doing 5 lakh visits a month, fixing the system, not just individual campaigns was the only way to unlock the revenue that was already there. 

Our Approach: Intent-Led Personalisation Across the Funnel

Cooee deployed a multi-layered personalisation system built on three pillars:

Pillar Description
Intent Segmentation Every visitor is categorised as low, medium, or high intent based on real-time behavioural signals
Behavioural Triggers Campaigns are activated by scroll depth, dwell time, exit intent, and cart state
Continuous Experimentation Messaging, targeting, and placement are continuously tested and optimised

These pillars shaped how Cooee approached every touchpoint on Phool's site. Below is a breakdown of each layer and what it delivered.

Announcement Bars - Always-On Visibility Layer

The broadest layer, and one of the most consistently productive.

Persistent carousel announcement bars surfaced Phool's active offers, promotions, and campaign messaging across every session without interrupting the browsing experience. No pop, no friction. Just a reliable presence that ensured no visitor left the site uninformed.

Insight: Passive, non-intrusive layers don't need high CTRs to drive meaningful revenue. They just need to show up, every time. 

Intent-Based Popups - Core Conversion Engine

This is where the system did its sharpest work.

Rather than serving the same message to every visitor, Cooee segmented popup campaigns by real-time intent and calibrated the message to match:

Intent Level Strategy
Low Intent Discovery nudges — trending products, social proof
Medium Intent Product push — personalised recommendations, best-sellers
High Intent Checkout nudges — urgency triggers, cart reminders

Medium-intent users were consistently the standout cohort. They are engaged enough to be receptive, but haven't committed yet. That's the window. Hit it with the right message and conversion follows. Miss it with a generic popup and the moment is gone. 

Insight: The biggest revenue opportunity in most D2C funnels isn't high-intent users — it's the medium-intent majority that everyone treats like they're either already buying or already lost. 

Behavioural Campaigns - New vs. Returning Users

A visitor on their first session and a visitor on their fourth are not the same person. Phool's personalisation stack stopped treating them that way.

New users were guided through discovery - trending products, category exploration, and brand trust signals. The goal: orient and engage, not overwhelm and push.

Returning users received a fundamentally different experience - repeat nudges, loyalty-focused messaging, and callbacks to what they had previously browsed. A returning visitor already knows Phool. They don't need an introduction. They need a reason to finally convert.

Insight: A returning visitor who hasn't converted yet isn't undecided, they just haven't been given the right nudge. Treating them like a first-time visitor wastes the intent they have already shown. 

Cart & High-Intent Recovery

The most expensive moment in e-commerce isn't a failed ad. It's a visitor who reaches the cart and then leaves.

They have done the research. They have shown clear intent. And then something - hesitation, distraction, a missing nudge pulls them away at the final step. Cooee built a targeted recovery layer to intercept exactly these users:

  • Exit Intent Popups - Personalised cart recall triggered at the moment a visitor moves to leave
  • Cart Reminders - Contextual nudges surfaced on product pages for visitors with active carts
  • Product Recall Nudges - Visual reinforcement paired with urgency messaging to bring high-intent visitors back into the flow

Insight: Cart recovery isn't about discounts. It's about showing up at the right moment with the right message before a ready-to-buy visitor closes the tab. 

Continuous Experimentation

Every campaign generates data. Every data point informs the next campaign. That compounding loop is what separates brands that see a one-month lift from brands that build sustained conversion growth.

Across the engagement, Cooee ran a continuous optimisation cycle. Testing messaging, targeting thresholds, placement, and creative formats. Three patterns consistently rose to the top:

  • Medium-intent targeting delivered the best scale-to-efficiency ratio
  • Sale-led messaging outperformed generic promotional copy
  • Behavioural personalisation consistently beat static, one-size-fits-all campaigns

Insight: One great campaign is a win. A system that learns from every campaign is a growth engine. 

The Results

Five gaps were identified. One system was built to close all of them. Here's what that looked like in numbers: 

Metric Result
Total Revenue Attributed ₹24M+
Total Orders 16,000+
Traffic Acquired Zero additional spend
Top Conversion Driver Intent-based popups (medium & high intent)
Top Reach Driver Announcement bars
Top Recovery Driver Exit intent & cart nudges
CTR Range (Intent Popups) 5% – 15%+

Key Takeaways

  1. Intent segmentation drives ROI — Medium intent offers the best scale + efficiency balance
  2. Full-funnel coverage is critical — Every stage contributes incremental revenue
  3. Personalisation > generic campaigns — Behavioural messaging consistently outperforms
  4. Recovery is a growth lever — Cart & exit layers unlock ready-to-buy users
  5. Iteration compounds results — Sustained growth comes from continuous experimentation

Want to see what this could unlock for your store? Talk to Cooee → 

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