AR room preview on WhatsApp
Customer photographs their room, gets a true-scale render with the sofa / bed / kitchen in place \u2014 within 2 minutes, in chat.
- True-scale render
- In-chat
- Multi-SKU
- Share-friendly
Key things to know
Photo capture
True-scale render
Multi-SKU compare
Share-friendly
People also ask
Q.Render accuracy?
True-scale, ±2 cm.
Q.Photo requirements?
One photo, any angle.
Q.Multi-SKU compare?
Yes.
Q.Multi-language?
Yes.
Q.Render cost?
Bundled.
Q.Pricing?
See /pricing.
The #1 furniture buyer objection is 'will it fit?'
Buyers measure, second-guess, ask the family, and disappear. AR room preview answers in 2 minutes.
Renders are share-friendly — buyers send to family group chats, building social proof and shortening the cycle.
Built for serious growth teams
Photo capture
True-scale render
Multi-SKU compare
Share-friendly
Fabric / colour swap
2-minute render
Get live in days, not months
- 1
Customer sends room photo
- 2
AI renders true-scale
- 3
Customer swaps SKU / colour
- 4
Quote + close
What teams ship with this
Sofa fit-check
Bedroom layout
Modular kitchen
Office layout
Frequently asked questions
Why AR room preview 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 ar room preview 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 — +38% quote-to-close, 3× share rate, <2min render time, 85% read rate — 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
Photo capture
Photo capture 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 ar room preview 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.
True-scale render
True-scale render 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 ar room preview 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.
Multi-SKU compare
Multi-SKU compare 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 ar room preview 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.
Share-friendly
Share-friendly 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 ar room preview 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.
Fabric / colour swap
Fabric / colour swap 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 ar room preview 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.
2-minute render
2-minute render 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 ar room preview 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. Customer sends room photo
Customer sends room photo is the foundation of the ar room preview 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. AI renders true-scale
AI renders true-scale is the next unlock of the ar room preview 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. Customer swaps SKU / colour
Customer swaps SKU / colour is the next unlock of the ar room preview 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. Quote + close
Quote + close is the final lock-in of the ar room preview 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
Sofa fit-check
Sofa fit-check teams deploy ar room preview 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.
Bedroom layout
Bedroom layout teams deploy ar room preview 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.
Modular kitchen
Modular kitchen teams deploy ar room preview 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.
Office layout
Office layout teams deploy ar room preview 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 ar room preview 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 Photo capture, True-scale render, Multi-SKU compare, Share-friendly. 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 Customer sends room photo → AI renders true-scale → Customer swaps SKU / colour → Quote + close 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 ar room preview on whatsapp rather than a generic WhatsApp marketing overview. The content references the actual workflow, the growth teams audience, implementation steps such as Customer sends room photo, AI renders true-scale, Customer swaps SKU / colour, Quote + close, and use cases like Sofa fit-check, Bedroom layout, Modular kitchen, Office layout. 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.