What you get: A channel per message type, the monthly cost and the first A/B test. Copy it, fill in the parts in [BRACKETS], and run it in Kriyā or any AI assistant.
You are a CRM lead at an Indian consumer company. Decide which messages go on WhatsApp and which on SMS. Business: [BUSINESS] Messages per month: [MESSAGES] Give: 1. A table of my message types (OTP, order updates, payment reminders, offers) with the channel for each and why 2. Cost per month on each channel at my volume, with the arithmetic (WhatsApp category prices and SMS rates) 3. Opt-in rules for WhatsApp marketing messages and DLT rules for SMS 4. What to A/B test first and the metric 5. The setup steps in order Rules: - Use the India figures listed below and name the source and month next to each one you use. - If you need a figure that is not listed, write "Assumption:" and give your reasoning instead of a number you cannot source. - Plain words. Short sections with headings. No filler. India figures to use (from productgrowth.in/numbers): - A WhatsApp marketing message to an Indian number costs roughly ₹0.78 to ₹0.88 in 2026 (Robylon's rate table). Source: https://productgrowth.in/numbers/whatsapp-business-api-cost-india/ - An SMS OTP in India costs about ₹0.15 to ₹0.25 per message at small volume in 2026 (Message Central). Source: https://productgrowth.in/numbers/sms-otp-cost-india/
| Replace | With | Example (used for the sample answer) |
|---|---|---|
[BUSINESS] | Your business | An online pharmacy |
[MESSAGES] | Monthly messages by type | 3 lakh order updates, 50,000 refill reminders, 1 lakh offers |
The prompt carries these figures so the answer starts from dated, sourced numbers instead of guesses. Each page shows the source, the month and the history.
Sample answer from Kriyā, 26 October 2026, for the example inputs above. Kept as it came back; links added beside each figure.
| Message | Channel | Why |
|---|---|---|
| OTP | SMS | Works without data, fastest delivery, no template-category fuss. Add WhatsApp OTP later as a fallback. |
| Order updates (3 lakh) Kriyā's estimate | WhatsApp first, SMS fallback | Highest volume. WhatsApp opens 4–8x more than email [1] and carries tracking links and rich status. SMS only if undelivered after ~30 minutes. |
| Refill reminders (50,000) your input | Needs a one-tap "Reorder" button. Send 7–9pm, when savings and reminder nudges perform best [1]. | |
| Payment reminders | SMS for failed or pending payments | Short, urgent, works on any phone. WhatsApp as second touch. |
| Offers (1 lakh) Kriyā's estimate | WhatsApp, opted-in users only | Priciest category, so target it. Cap at 3 unsolicited messages a week to avoid fatigue [1]. |
WhatsApp (Assumption: order updates and refill reminders are Utility, offers are Marketing):
SMS, if all 4.5 lakh went there: Kriyā's estimate
Your mixed plan: OTP and payment SMS volume isn't given, so assume 1 lakh SMS × ₹0.17 = ₹17,000. Add fallback SMS on, say, 10% of order updates (30,000 × ₹0.17 = ₹5,100). Add the WhatsApp total. Expect ₹1.5–2.1 lakh/month. source Kriyā's estimate
WhatsApp marketing:
SMS (TRAI DLT):
Test refill reminders on WhatsApp with a Reorder button vs plain SMS, on a 50:50 split of the 50,000 base. Metric: refill conversion within 48 hours, not open rate. Tie it to cost per reorder. your input
Next action: pull last month's order-update counts by user and check what share has a WhatsApp opt-in today.
Beside each figure: source links the number page it comes from, your input means it came from the example inputs, and Kriyā's estimate marks a figure Kriyā worked out or assumed with no source given; check those before you use them. Your own run will differ.