10% WhatsApp engagement at half the cost of a traditional CRM

· Jakub Dulny
Jakub Dulny
WhatsAppHeadless CRMCRMFlowgenCase Study
Flowgen WhatsApp orchestration architecture — BigQuery, Salesforce, MS SQL, NATS, Twilio

At CONNVE we build headless CRM programs — next best action, any channel, straight from the data warehouse. We recently hit a magic number — 10% engagement rate on a WhatsApp campaign promoting new medical courses to a highly profiled database of orthodontic specialists.

Which is pretty huge taking into account that typical, generic email campaigns drive <1% engagement and open rate is inflated by Gmail & Apple inbox services. SMS has zero visibility, so the only remaining channels with deep insights are Push (assuming you have your own mobile app) and RCS which is still in infancy usage wise.

Key success factors

  • Messages were ultra personal — we used name & scientific titles, last purchase date, overall course participation history
  • Plain text, no graphics — written like a human, not a marketing blast
  • Personal sales rep footer — recipients perceived it as 1:1 communication with their rep
  • Results: 10% replied, 75% opened — we received overwhelmingly positive responses; clients genuinely enjoy this channel
  • A/B tested send times — morning (10:00) vs afternoon (14:00). Morning wins. Peak response between 10:00–11:00. We’re now building profile-level send time optimization — every recipient has their own interaction schedule
  • Every reply saved to CRM — assigned as a task to the sales rep. We set up a procedure with Sales Leadership: every message gets a response, even with no immediate purchase intent. This reinforces the personal touch

Tech stack

The entire program was built outside the client’s traditional execution CRM — their sending system couldn’t handle this dynamic setup. We used:

Why a headless CRM is 2x cheaper than any execution CRM

From our experience running CRM programs, 40–50% of any traditional CRM platform spend goes to template management, list management, ETL and attribute syncing — none of which is needed with a headless CRM approach. Use Flowgen + a data warehouse as your source of truth and skip the entire middleware layer.

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