Sellers lose trust in a brokerage when showing feedback never makes it back to them. An automated WhatsApp survey and AI digest flow typically captures feedback on about 85% of showings and flags price problems weeks earlier.
Typical results
30 min
Weekly review time
27 days
Earlier pricing talks
2 hrs
Survey sent post-showing
Figures reflect typical results for this kind of automation.
The challenge
Agents showed properties all week but rarely chased buyer's agents for reactions — it meant awkward calls nobody had time for. Feedback reached maybe one showing in five. Sellers felt ignored, price reductions came months late, and listings sat. The brokerage knew the data existed in agents' heads and inboxes; it just never got collected.
Before and after
Showings with feedback
4.3×Weekly feedback chasing
−88%Days to pricing conversation
−60%The automation
We connected the showing calendar to a Make scenario that sends every buyer's agent a two-question WhatsApp survey two hours after the visit, with one automatic reminder the next morning. OpenAI condenses the replies, scores sentiment, and logs both on the listing in the CRM. Every Friday, each seller receives a branded digest of the week's showings, and repeated price objections trigger an early alert to the listing agent.
How it works
- 01
Survey fires
Two hours after each showing ends in the calendar, a short WhatsApp survey reaches the buyer's agent automatically.
- 02
Smart nudge
Non-responders get one polite reminder the next morning, so replies arrive structured instead of scribbled on a call sheet.
- 03
AI condenses
OpenAI summarizes tone, objections, and price remarks, then logs a sentiment score on the listing record in the CRM.
- 04
Seller digest
Every Friday, each seller receives a branded summary of the week's showings and honest buyer reactions.
- 05
Early warning
Repeated price objections trigger an alert so the listing agent opens the pricing conversation with data, not apologies.
Starts from
- Showing completed
- Buyer-agent survey replies
Delivers
- Friday seller digest
- Sentiment logged in CRM
- Price-signal alerts
The impact
Feedback capture typically rises from roughly 20% of showings to 85%, with agents spending half an hour a week reviewing instead of four hours chasing. Pricing conversations start around day 18 instead of day 45, sellers renew mandates more readily, and the weekly digest becomes a strong retention tool.
Questions about this automation
How is feedback collected after each showing?
Two hours after a showing ends in the calendar, the buyer's agent receives a two-question WhatsApp survey about the buyer's reaction and any price remarks. Anyone who hasn't replied gets one polite reminder the next morning, so answers arrive in a consistent format instead of scattered across calls and notes.
What does the AI do with the replies?
An OpenAI step summarizes each reply, pulls out objections and price comments, and gives the showing a sentiment score. The summary and score are logged on the listing record in the CRM, and repeated price objections across several showings trigger an alert to the listing agent.
What does the seller receive each week?
Every Friday, each seller gets a branded digest of that week's showings: how many took place, the main reactions, recurring objections and the overall sentiment trend. It gives the listing agent a factual basis for pricing conversations. This is a multi-step build, usually rolled out in stages, starting with the surveys and adding the digest after.