Customer intelligence for WhatsApp commerce
Know who to message next, and why
Most stores send everyone the same message because they cannot see who is who. WatEase builds one profile per customer from their orders, payments and conversations, sorts customers into segments whose rules you can read, scores churn risk every night with the reasons, and turns each segment into a next best action — a WhatsApp campaign draft that a person sends, or an audience synced to Meta.
- Official WhatsApp Business API
- 0% message markup
- UPI + GST built in
- Set up in minutes
- Guided onboarding, every plan
- 14-day money-back guarantee
Built for Indian businesses · Pricing on request · month-to-month. Prefer to start on your own? Create your account.
- One profile per customer
- Segments with the reason
- The next best action
Where knowing your customers pays back
No invented ROI percentages — these are the mechanisms and the market facts behind them. Your numbers depend on your volume, and the dashboard measures each one.
500M+
WhatsApp users in India — Meta has cited India as WhatsApp’s largest market worldwide.
Source: Meta Newsroom200M+
People use the WhatsApp Business app every month worldwide, per Meta — the install base WhatsApp commerce and support build on.
Source: Meta Newsroom2023
The year India enacted the Digital Personal Data Protection Act (DPDPA), which governs consent for processing personal data, including marketing outreach.
Source: MeitY — data protection frameworkMessages that fit the customer
A segment with a reason gets a message written for it — a win-back for the lapsed, a second-order nudge for the new — instead of one blast to everyone.
If 400 of your 3,000 customers are at risk and a targeted win-back brings back even one in twenty, that is 20 returning buyers from a single send — without discounting everyone else.
Regulars caught while they are drifting
Nightly churn scoring flags a regular who has gone quiet while a nudge can still land, not months later when they have moved on.
A customer who ordered every month and has been silent for six weeks is far easier to bring back now than after six months; the at-risk flag is what tells you it is now.
Ad spend aimed with your own data
A segment synced to Meta or Google lets you retarget people from your own customer data — or exclude the ones who already buy.
Upload your loyal regulars as a Meta audience and exclude it from acquisition campaigns in Ads Manager, and that spend goes to people who do not already buy from you.
How it works
One profile per customer
Orders, payments and conversations build one profile per customer, matched on phone and email, with the lifetime value collected so far and a predicted lifetime value.
Segments with the reason
Customers fall into segments — champions, loyal, high value, new, at risk, churned, cart abandoners — each with its rule in plain words. Churn risk is scored every night with the reasons, and the next order date is estimated from each customer’s own rhythm.
The next best action
Each segment gets a recommended action with a why: win back the at-risk, nudge first-time buyers to a second order, look after the champions. Turn it into a campaign draft and send it on WhatsApp, or sync the segment to a Meta custom audience or Google Customer Match.
What you get
Every order and chat, one record
Orders, payments and conversations by channel on one profile, with lifetime value and a predicted lifetime value.
Segments that show their rule
Champions, loyal, high value, new, at risk, churned and cart abandoners — each with its rule in plain words.
Churn risk, with the reasons
Every customer’s churn risk and next expected order are recalculated nightly, with the reasons on the profile.
Actions on WhatsApp and Meta
Turn a segment into a WhatsApp campaign draft, or sync it as a hashed Meta custom audience or Google Customer Match list.
Frequently asked questions
How is this different from re-engagement and win-back?▼
Win-back is one job: bringing lapsed buyers back with a nudge. Customer intelligence is the layer underneath every job — one profile per customer, segments with their rules, churn risk and a predicted next order, and a recommended action per segment. A win-back campaign is one of the actions it recommends.
How often is it updated?▼
Recency, frequency and spend scores and churn risk are recalculated every night. Dynamic segments you build yourself recount every 15 minutes, and you can refresh a segment on demand before you send.
Can I see why a customer is in a segment?▼
Yes. Every segment follows a rule you can read and tune — recency, frequency and spend bands — rather than a black box, and each customer’s churn risk lists its reasons on the profile. When a segment feeds a campaign, the AI campaign assistant shows the reason next to the live count.
Does anything send without me?▼
Not from a recommendation: a next best action becomes a campaign draft, and a person sends it, with opt-outs, frequency caps and quiet hours checked at send time. Automations you set up yourself, such as a reorder reminder, run on their own.
What does syncing a segment to Meta do?▼
WatEase uploads the segment to your Meta ad account as a custom audience, with phone numbers and emails hashed before they leave. In Ads Manager you can then target it, build a lookalike from it or exclude it from a campaign. Google Customer Match works the same way for Google Ads.
What return can I expect from customer intelligence on WhatsApp?▼
Through specific mechanisms rather than a single ROI number: messages that fit the customer; regulars caught while they are drifting; ad spend aimed with your own data. If 400 of your 3,000 customers are at risk and a targeted win-back brings back even one in twenty, that is 20 returning buyers from a single send — without discounting everyone else. WatEase publishes no invented ROI percentages — your numbers depend on your volume, and the dashboard measures each mechanism.
Go deeper
The capabilities behind this solution, and related jobs you can run on the same platform.
Related solutions
Capabilities and competitor comparisons reflect what we could verify as of June 2026.