🔒 Privacy & NDA Notice: All client names, brand identities, and identifying details in these case studies have been anonymised or changed. We operate under strict NDAs with every client and cannot disclose real business names without their explicit written consent. The results, workflows, and metrics shown are real, drawn from our actual client implementations — just without the names attached.
The problem: FitFuel was running a Shopify store with significant daily traffic but losing 70% of carts at checkout. Their email recovery sequence had a 14% open rate. Nobody was reading it.
What we did: Connected Shopify to WA.Expert via native integration. Built a 3-message abandoned cart WhatsApp sequence, message 1 at 1 hour (reminder), message 2 at 24 hours (social proof + urgency), message 3 at 72 hours (10% discount). All personalised with exact product names and images.
The result: WhatsApp cart recovery messages achieved a 76% open rate and 23% recovery rate, compared to 14% open and 4% recovery on email. ₹3.2L recovered in the first 30 days with zero human involvement.
The problem: Property launch campaigns on email and SMS were generating minimal response. The team had a database of 8,000 past inquiries but no effective way to reach them with new launch details at scale.
What we did: Migrated the contact database into WA.Expert CRM, segmented by property type interest and budget range. Built a launch campaign with a WhatsApp template carrying property images, highlights, and a one-tap inquiry button. Scheduled for 10am Saturday.
The result: 83% delivery rate, 71% read rate, 340 inbound inquiries within 48 hours. The bot qualified each inquiry by budget and timeline and routed hot leads directly to agents, who focused only on closing, not chasing.
The problem: BrightPath received 60–80 admission inquiries per day on WhatsApp. A 2-person admissions team was manually answering each one, same questions, all day, every day. Weekend inquiries sat unanswered until Monday.
What we did: Built a comprehensive admissions chatbot covering every common inquiry, courses, fees, eligibility, batch timings, scholarship criteria, campus location. Integrated with their Google Sheet to capture leads automatically. Weekend and after-hours inquiries answered instantly.
The result: 80% of all inquiries now handled by the bot without human involvement. The admissions team focuses only on warm leads who have already received all basic information. Inquiry-to-enrollment conversion tripled in the first term.
The problem: CityClinic was experiencing a 28% appointment no-show rate, costing significant revenue and disrupting doctor schedules. Reminder calls were made manually by front desk staff, time-consuming and inconsistent.
What we did: Built an automated reminder sequence. WhatsApp message 24 hours before appointment and again 1 hour before. Each message included doctor name, time, location, and a one-tap reschedule option. Cancellations automatically freed up slots for other patients.
The result: No-show rate dropped from 28% to 17% within 6 weeks. Front desk saved approximately 2 hours per day previously spent on reminder calls. Patient satisfaction scores improved due to the proactive, professional communication.
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