You were almost through checkout. What made you stop?
A
Cart Abandonment Survey
Evaluator agent · 2.2K uses
Evaluator Agent
Post-Purchase Survey Template
Your post-purchase form gets ignored. Replace generic post-purchase forms with conversations that dig into product quality, delivery, and whether the shopper plans to buy again. Built for retail and e-commerce teams who need to know why one order turns into a return and another turns into a repeat customer.
Higher completion rates
Deeper insights
Actionable feedback
Used 1,412+ 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.
Questions it always asks
The core fields every response captures.
Rate your overall satisfaction with this purchase from 1-10
How likely are you to recommend us to friends or colleagues?
How it adapts
Follow-ups that change based on what people say.
If satisfaction score is below 7, ask about specific pain points and improvement suggestions
If customer mentions delivery issues, collect detailed shipping experience feedback
Where it routes people
Different paths for different answers.
Route customers scoring 9-10 to review request and referral program signup
Route customers scoring 1-6 to customer success team for immediate follow-up
Automations it can trigger
Actions that fire the moment a response comes in.
Add satisfied customers to email marketing segments in Mailchimp
Create support tickets in Zendesk for customers reporting issues
Update customer satisfaction scores in Salesforce CRM records
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 AI reaches out after the order is delivered, asks targeted questions about the buying experience and product satisfaction, then follows up with specific questions based on positive or negative responses to uncover actionable improvement opportunities.
Getting started
- 1
Connect your purchase confirmation system or CRM
- 2
Set timing rules for when surveys trigger after purchase
- 3
Customize questions for your specific products or services
- 4
Configure follow-up actions for different satisfaction levels
Template Details
- Agent Type
- Evaluator
- Category
- Retail and e-commerce
- Industry
- Retail & E-commerce
- Business outcome
- Improve customer satisfaction
- Job to be done
- Collect customer feedback
- Journey stage
- Feedback & evaluation
- Replaces
- Survey tools
- Integrations
- Email, Hubspot, Webhook
- Times Used
- 1,412+
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.
- Rating scales miss the real story behind customer satisfaction. When someone rates their purchase experience a 7, you learn nothing about what specifically disappointed them or what would have made it a 10.
- Generic feedback forms can't adapt to different purchase types. A first-time buyer of a $30 t-shirt needs different questions than a repeat customer who just bought a $900 sofa, but static forms treat every order the same.
- Long feedback forms sent after purchase get deleted or marked as spam. Customers are busy unboxing and using what they bought and have no patience for tedious questionnaires about their experience.
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.
- Natural conversations probe deeper when customers mention specific issues. If a customer says the fit was off, the AI asks how it compared to the size chart and whether they plan to exchange or return it.
- Adaptive questioning follows customer responses to uncover unexpected insights. When a shopper praises fast delivery or careful packaging, the conversation explores what made it stand out and whether it makes them more likely to order again.
- Conversational feedback feels natural and engaging, leading to 90% completion rates compared to 15% for traditional forms. Customers share detailed stories about their purchase decision instead of abandoning halfway through.
What makes post-purchase feedback actually useful?
Useful post-purchase feedback captures specific moments and emotions, not generic satisfaction scores. The best feedback reveals decision-making factors, expectation gaps, and immediate post-purchase feelings. Retail and e-commerce teams need to understand product quality gaps, sizing and description mismatches, and how delivery and packaging shaped the first impression. Effective feedback collection focuses on actionable insights that drive product improvements and customer retention rather than vanity metrics.
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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