Post-showing feedback surveys that collect actionable information across pricing, condition, presentation, and buyer interest
Post-showing feedback surveys collect structured information from buyer's agents after showings, helping listing agents identify patterns across multiple showings — pricing signals, presentation issues, condition concerns, and objections that the seller can act on. Effective feedback surveys ask specific questions about the buyer's reaction across five dimensions: pricing (did the buyer find the price appropriate?), condition (were there any condition concerns?), presentation (how were the photos vs. the in-person impression?), competition (are they also considering other properties?), and interest level (is the buyer likely to make an offer?). Feedback surveys must not ask buyer's agents to disclose confidential buyer information beyond what is appropriate for listing feedback. BuildMyListing generates structured showing feedback survey templates for listing agents.
Pricing: Starting $99/month
Time Required: 3 minutes per survey
Listing agents who rely on informal showing feedback get inconsistent, unusable responses. 'Nice house, not the right fit' doesn't help a seller decide whether to adjust price, fix a condition issue, or re-photograph the kitchen. Structured feedback surveys produce comparable data across showings — so patterns emerge and sellers can see the market's actual response to their listing.
BuildMyListing generates structured post-showing feedback survey templates that collect actionable information across the five dimensions sellers need to evaluate their listing's performance: pricing, condition, presentation, competition, and buyer interest.
The most valuable feedback a listing agent can collect is pricing signal: did the buyer agent's buyer find the listing priced at market, above market, or below market for what it is? A consistent pattern of 'above market' feedback across multiple showings is the clearest signal that a price adjustment is warranted. BuildMyListing's feedback survey includes a specific pricing perception question with a scaled response — not just a yes/no, but a calibrated signal the agent can present to the seller.
Benefit: Calibrated pricing signal from each showing — patterns across multiple showings build the case for price adjustments
Buyers who tour a property often identify condition issues — deferred maintenance, odors, dated systems, or presentation problems — that reduce their interest. Collecting condition feedback systematically identifies whether condition issues are consistent across buyers (suggesting a real problem to address) vs. one buyer's specific preference (not worth acting on). BuildMyListing generates a condition feedback section with specific question categories matching common showing objections.
Benefit: Condition feedback organized by category — consistent issues across showings identified for seller action
Listing photos set buyer expectations before showings. When in-person impressions consistently fall short of photo expectations — 'the kitchen looked much larger in the photos' or 'the backyard was much smaller than expected' — this is a signal about photo accuracy that affects buyer experience. When in-person impressions exceed photo expectations, the photos may not be doing the listing justice. BuildMyListing's feedback survey includes a photo vs. in-person comparison question that captures this dynamic.
Benefit: Photo-vs.-reality gap identified from buyer feedback — photo adjustment decisions based on evidence, not guesswork
Understanding which competing properties the buyer is also considering helps listing agents contextualize feedback. If a buyer who toured your listing is also considering three properties at a lower price point, their pricing feedback is shaped by those alternatives — not by the listing in isolation. BuildMyListing's competition section asks buyer's agents (to the extent they're willing to share) what other properties the buyer is considering and in what price range.
Benefit: Competitive context for feedback — pricing and condition reactions interpreted against actual buyer alternatives
The most direct feedback question is buyer interest: is the buyer likely to make an offer? If not, what would change their decision? Collecting structured interest level feedback across all showings gives listing agents early signals about whether an offer is coming or whether the listing needs an intervention — before the seller loses patience with the marketing program.
Benefit: Interest level signal collected systematically — listing agent sees the offer pipeline picture clearly
Enter the listing address, current price, property condition highlights and any known issues to probe, and any specific feedback areas most relevant to this listing (new construction needs different questions than a vintage home).
BuildMyListing generates a structured post-showing feedback survey with sections for pricing, condition, photo vs. in-person impression, competition, and buyer interest — customized for the listing's characteristics.
Send the survey to buyer's agents via email or ShowingTime/Showing Suite integration within 24 hours of each showing. Compile responses across multiple showings to identify patterns. Download the survey template and response aggregation format.
Scenario: Listing has been active for 21 days with 12 showings and no offers. Listing agent needs to compile feedback to present to seller at a price reduction discussion.
Process: Aggregate 12 showing feedback responses. BuildMyListing feedback survey produces: 9 of 12 buyers rated pricing as 'above market'; condition feedback shows consistent kitchen comment across 7 of 12 buyers; photo vs. in-person: mixed (some buyers say photos made kitchen look larger than it is). Recommendation: price adjustment and possibly kitchen staging improvements.
Compliance: Feedback presented as aggregate patterns — no individual buyer identification shared with seller. Buyer confidentiality maintained.
Scenario: New listing goes active with strong first-week showing activity. Listing agent wants to gauge early market response before the first seller check-in call.
Process: Send feedback surveys after each of the first week's showings. After 8 showings in 7 days: pricing feedback is positive (4 of 8 rated at-market, 3 below market); condition feedback is clean; interest level: 2 buyers are actively considering offers. Strong first-week signal — no intervention needed.
Compliance: Feedback aggregated accurately. Interest level signals shared with seller to support pricing decision — no individual buyer identification.
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