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ClearTax ran its lifecycle marketing on the Salesforce Marketing Cloud (SFMC). It worked – until the season scaled past what it could keep up with. The problems weren’t settings you could tweak; they were baked in:

• No single view of the customer. Customer data was split across Salesforce and Mailmodo, with no unified view – not even something as basic as how many times a given user had filed. No single profile meant no real targeting, just educated guesses.
• Flying blind on the funnel. No funnel or cohort analytics, so the team couldn’t see where filers were dropping off or how different groups behaved. You can’t fix what you can’t see.
• It buckled under load. Sends couldn’t keep up with peak-season volume – exactly when timing matters most.
• Laggy, patchy data. Data showed up late or not at all, which kills real-time triggers and any chance to optimize while a filer is still in the flow.
• Slow to troubleshoot. When something needed fixing fast during the tax filing months, the setup fought back instead of helping.

And the kicker: their Salesforce plan didn’t even include email. One of their core channels lived in a separate tool, which meant more stitching, more handoffs, more places for data to fall out of sync. At some point the question stopped being “how do we tune this?” and became “why is all of this in so many different places?” That’s what kicked off the project – and it broke into three pieces.

As ApnaKlub scaled across Tier 2 and Tier 3 markets, the platform had solved the supply problem. What it hadn’t solved was communication.

The kirana buyer in Lucknow or the wholesale retailer in Patna is not an impulse purchaser. They operate on tight margins, deliberate buying cycles, and deep price awareness. They don’t browse for fun – they buy when the timing, the margin, and the inventory align. And they decide fast: in their vernacular language, on WhatsApp, on a budget Android phone.

Generic catalogue blasts and English push notifications were landing with a thud – not because the offers weren’t good, but because the communication didn’t speak the language of the person receiving it. Three fault lines emerged:

1. Catching the Buyer at the Right Moment

Intent was never the problem. The challenge was showing up at the exact moment they were ready to act – not blasting them at random and hoping the timing worked out.

2. Staying Relevant Across 30,000 Different Buying Patterns

No two wholesalers restock the same way. Sending everyone the same message wasn’t just ineffective, it was invisible.

3. Breaking the English-Centric SaaS Barrier

A wholesaler in Bihar doesn’t think in English. A Hindi notification showing a live margin figure and a product image lands in a completely different universe from a plain-text English push.

Good Doctor’s objective was straightforward: improve activation, consultation and purchase conversions, and overall marketing effectiveness, without simply pushing more messages to more people. That meant solving for three things:

• Reaching users based on their actual likelihood to engage or convert, not just their presence in the base
• Continuously identifying which content and journey paths performed best, without relying on manual testing
• Keeping campaign messaging aligned with fast-changing patient interests and seasonal health trends

The Core Gap

Good Doctor’s existing setup for App Push and Email wasn’t designed to prioritize content or traffic automatically; every new variant, segment, or trend required manual review. In a category where patient interest can shift within days, a seasonal illness, a sudden symptom, that manual layer meant campaigns were often optimized for what had already happened rather than what was happening. Left unresolved, this carried three compounding risks: users dropping out of onboarding before reaching their first consultation, marketing effort spread evenly across users regardless of intent, and campaigns arriving after, rather than during, the moment a patient was actually looking for care.