Review collection on WhatsApp
Auto-trigger post-meal review requests on WhatsApp \u2014 route 5-star to Google and 1\u20133 star to private feedback for service recovery.
- Auto-trigger
- Google routing
- Service recovery
- Sentiment tracking
Key things to know
5-star → Google
1–3 star → private
Manager alert for recovery.
Auto-trigger
Post-meal or post-delivery.
Sentiment dashboard
People also ask
Q.Google integration?
Direct review URL.
Q.Auto-trigger?
Post-meal / post-delivery.
Q.Service recovery?
Manager alerts on 1–3★.
Q.Multi-outlet?
Per-outlet sentiment.
Q.Multi-language?
Yes.
Q.Pricing?
Included on restaurant tier.
The single highest-ROI restaurant workflow
Restaurants that ask via WhatsApp collect 3× more Google reviews than those using QR codes or email.
Smart routing keeps 5-star reviews on Google and channels 1–3 star into private service recovery — protecting your public rating.
Built for serious growth teams
5-star → Google
1–3 star → private
Manager alert for recovery.
Auto-trigger
Post-meal or post-delivery.
Sentiment dashboard
Service recovery
Manager replies in-thread.
Review incentive
Optional next-visit discount.
Get live in days, not months
- 1
Auto-trigger post-meal
- 2
Smart routing 5★ vs 1–3★
- 3
Service recovery for negatives
- 4
Track sentiment trend
What teams ship with this
Fine dining
Casual dining
Cafes
Cloud kitchens
Frequently asked questions
Why Review collection on WhatsApp is the highest-leverage move for growth teams
WhatsApp is where growth teams customers actually reply. Open rates sit at 85–98% inside 15 minutes versus 18–22% on email and sub-2% on SMS, and the medium is conversational — a customer can ask a follow-up, share a photo, or pay without leaving the thread. That is the entire premise behind review collection on whatsapp: stop losing the conversation to slow channels and let intent convert while it is warm.
Most growth teams teams treat WhatsApp as a broadcast megaphone. The teams that win treat it as a workflow surface — every notification is also a decision point where the customer can act. The capabilities below are wired to do exactly that: each one collapses a multi-step off-platform detour into a single in-thread reply.
The impact numbers on this page — 3× review rate, +0.4 google rating, 85% 5-star → google, <30s diner effort — are pulled from LandinChat customers running this workflow for at least 90 days. They are directional; your mileage depends on list quality, template approval speed, and how aggressively you route qualified conversations to a live agent.
Each capability, in plain terms
5-star → Google
5-star → Google is delivered as a native LandinChat module — no external plug-ins, no separate dashboard. It ships pre-wired to the growth teams data model, so the first working version is minutes of setup, not a sprint. You can override defaults per campaign, per agent, or per customer segment. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
1–3 star → private
Manager alert for recovery. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
Auto-trigger
Post-meal or post-delivery. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
Sentiment dashboard
Sentiment dashboard is delivered as a native LandinChat module — no external plug-ins, no separate dashboard. It ships pre-wired to the growth teams data model, so the first working version is minutes of setup, not a sprint. You can override defaults per campaign, per agent, or per customer segment. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
Service recovery
Manager replies in-thread. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
Review incentive
Optional next-visit discount. In practice this means the growth teams operator running review collection on whatsapp does not need to compose the logic themselves; they pick the trigger, review the copy, and let LandinChat handle rate-limits, template compliance, and retry behaviour.
How this actually rolls out
Step 1. Auto-trigger post-meal
Auto-trigger post-meal is the foundation of the review collection on whatsapp workflow. On day one, an onboarding specialist walks a growth teams operator through this step live; on subsequent campaigns, the team runs it themselves from the LandinChat console. Expect this step to take between 15 minutes and an afternoon depending on how clean your existing data is.
Step 2. Smart routing 5★ vs 1–3★
Smart routing 5★ vs 1–3★ is the next unlock of the review collection on whatsapp workflow. On day one, an onboarding specialist walks a growth teams operator through this step live; on subsequent campaigns, the team runs it themselves from the LandinChat console. Expect this step to take between 15 minutes and an afternoon depending on how clean your existing data is.
Step 3. Service recovery for negatives
Service recovery for negatives is the next unlock of the review collection on whatsapp workflow. On day one, an onboarding specialist walks a growth teams operator through this step live; on subsequent campaigns, the team runs it themselves from the LandinChat console. Expect this step to take between 15 minutes and an afternoon depending on how clean your existing data is.
Step 4. Track sentiment trend
Track sentiment trend is the final lock-in of the review collection on whatsapp workflow. On day one, an onboarding specialist walks a growth teams operator through this step live; on subsequent campaigns, the team runs it themselves from the LandinChat console. Expect this step to take between 15 minutes and an afternoon depending on how clean your existing data is.
How different teams put this to work
Fine dining
Fine dining teams deploy review collection on whatsapp to compress the gap between intent and action. The common failure mode we see is over-templating — sending the same broadcast to every segment. The teams that outperform run at least three variants keyed to recency, spend tier, and language, and they measure reply-rate not open-rate.
Casual dining
Casual dining teams deploy review collection on whatsapp to compress the gap between intent and action. The common failure mode we see is over-templating — sending the same broadcast to every segment. The teams that outperform run at least three variants keyed to recency, spend tier, and language, and they measure reply-rate not open-rate.
Cafes
Cafes teams deploy review collection on whatsapp to compress the gap between intent and action. The common failure mode we see is over-templating — sending the same broadcast to every segment. The teams that outperform run at least three variants keyed to recency, spend tier, and language, and they measure reply-rate not open-rate.
Cloud kitchens
Cloud kitchens teams deploy review collection on whatsapp to compress the gap between intent and action. The common failure mode we see is over-templating — sending the same broadcast to every segment. The teams that outperform run at least three variants keyed to recency, spend tier, and language, and they measure reply-rate not open-rate.
Buyer’s checklist
- • Official Meta Tech Partner — templates approve faster and account is not at ban risk.
- • Native growth teams data model — no glue-code to import contacts, orders, or bookings.
- • Green-tick support with a clear submission checklist and Meta-side follow-up.
- • Conversation-based pricing that matches WhatsApp’s own billing model, not per-message surcharges.
- • Human handoff with unread routing, so qualified replies never sit in a bot loop.
- • Audit log & role-based access — required for regulated enterprise buyers.
Common pitfalls
- • Broadcasting cold lists — quickest way to a quality-rating downgrade and eventually a template ban.
- • Skipping opt-in capture — makes every future utility template harder to approve.
- • Treating WhatsApp as a one-way channel — the platform penalises accounts with low reply-rate.
- • Running only one template variant — you leave 20–40% of lift on the table.
- • Not routing hot conversations to a human within 5 minutes — kills conversion by up to half.
What to measure after launching review collection on whatsapp
Week 1 signal
Track template approval time, first-reply latency, delivered-rate, and the first 100 customer replies. For growth teams, the fastest warning sign is not low opens; it is customers replying with confusion because the trigger, offer, or handoff promise was not specific enough.
Month 1 signal
Compare reply quality across 5-star → Google, 1–3 star → private, Auto-trigger, Sentiment dashboard. The best-performing growth teams teams keep the highest-intent replies visible to managers, then rewrite templates around real customer language instead of internal terminology.
Scale signal
Once Auto-trigger post-meal → Smart routing 5★ vs 1–3★ → Service recovery for negatives → Track sentiment trend is stable, scale by segment rather than volume. Add new audiences only when opt-in source, template intent, agent ownership, and conversion tracking are all mapped.
Search-quality notes for this workflow
This page is intentionally built around review collection on whatsapp rather than a generic WhatsApp marketing overview. The content references the actual workflow, the growth teams audience, implementation steps such as Auto-trigger post-meal, Smart routing 5★ vs 1–3★, Service recovery for negatives, Track sentiment trend, and use cases like Fine dining, Casual dining, Cafes, Cloud kitchens. That specificity helps buyers, internal teams, and search engines understand why this page deserves to exist separately from broader WhatsApp CRM, broadcast, chatbot, and automation pages.
3\u00d7 more 5-star reviews
Auto-trigger + smart routing \u2014 protect your rating.