You stayed with us monthly, then stopped. What happened?
Z
Guest Win-Back Research
Interviewer agent · 1.7K uses
Interviewer Agent
Why Guests Booked a Competitor Hotel
You lost the booking in a browser tab you will never see. Hotel booking decisions happen across several tabs in a few minutes, and almost everything that decides them is invisible to your analytics: the photo that looked dated, the review that mentioned noise, the cancellation policy, the total after fees. This conversation walks that session and finds the deciding moment.
Booking conversion lifted
The deciding factor named
Content and rate issues separated
Used 941+ times
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Information it collects
The trip purpose and what they searched forWhich properties they compared and on whatWhat they were looking at when they decidedWhether price, location, photos, reviews, flexibility or loyalty decided itWhat would have had to be different for you to win
Questions it always asks
The core fields every response captures.
Always reconstruct the actual booking session rather than asking about preferences
Ask what they were looking at at the moment they decided
How it adapts
Follow-ups that change based on what people say.
If they cite price, find out whether it was the nightly rate, the total with fees, or the cancellation terms
If they mention reviews, ask which specific thing in them mattered
Where it routes people
Different paths for different answers.
Send rate and fee objections to revenue management
Route photo, content and review issues to the digital and reputation teams
Automations it can trigger
Actions that fire the moment a response comes in.
Post weekly loss reasons to #revenue in Slack
Log the competitive loss reason against the property record in HubSpot
Alert the digital team when content or photography is repeatedly named
SOC 2 Type II and ISO 27001:2022 certified. Responses are encrypted in transit and at rest, and you own your data. View our Trust Center.
How this AI agent works
The conversation asks the traveler to reconstruct the booking session: what the trip was for, what they searched, which properties they compared and on what. It stays neutral and never names a hotel first, letting the traveler use their own terms. It probes what they were looking at when they decided, and whether the deciding factor was price, location, photos, reviews, flexibility, or loyalty.
Getting started
- 1
Recruit travelers who considered your property and booked elsewhere, or use a panel
- 2
Define the comparison set and trip types that matter to your revenue mix
- 3
Make sure the conversation never names a competitor first
- 4
Route the findings to revenue management and the digital team together
Template Details
- Agent Type
- Interviewer
- Category
- Hotels and hospitality
- Industry
- Hotels & Hospitality
- Business outcome
- Convert more leads
- Job to be done
- Interview customers & users
- Journey stage
- Discovery & research
- Replaces
- 1:1 interviews
- Integrations
- Slack, Hubspot, Email
- Times Used
- 941+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
yoursite.com/intake
Category *
Select...
Details
Describe your situation...
Submit
Result:Category: "Other"|Details: "It's complicated"
No context. No follow-up. No next step.
- A non-conversion is a silence. Analytics record that someone viewed and left, which is compatible with a dozen explanations that require entirely different responses.
- Post-booking surveys reach people who chose you, so the reasons you collect are the reasons you won. The reasons you lose are held exclusively by people who are not in your database.
- Attribute-rating surveys ask travelers to score properties on dimensions they never consciously compared, producing a tidy dataset that describes no real decision.
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Triggered: Slack alert sent| CRM updated
Right team. Full context. Instant action.
- The conversation reconstructs the actual booking session, which is where the decision happened, including what they searched and which properties were genuinely in the comparison.
- Asking what they were looking at at the moment they decided is what isolates the deciding factor, and it frequently turns out to be something small and fixable such as a fee revealed late or a photograph that looked dated.
- It stays neutral and never names a property first, so the comparison set is theirs and occasionally reveals that your assumed competitor was not in it.
What is competitor hotel research?
It is research with travelers who considered your property and booked elsewhere, reconstructing the comparison they actually made. It answers the question no first-party dataset can: what the guest was weighing at the moment they chose someone else. For a revenue or digital team, that is the difference between assuming a rate problem and discovering a content one.
FAQ
Frequently Asked Questions
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Replace drop-off, poor qualification, and missing context with AI conversations that capture structured data and real understanding. Set up in minutes.
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