When they leave you

Understand why customers leave before it is too late

Konvolo runs short AI customer interviews before or after churn, asks the follow-up questions a form cannot ask and turns the answers into signals your team can act on.

Churn moment

Catch the real reason while you can still act

Before cancellation Find the blocker and route the customer before they leave.
After churn Learn what happened and what could bring them back.

Two ways to use it

Use the conversation before or after churn

01

Before they leave

Understand what is wrong and route the customer to the next best step.

02

After they leave

Learn what happened and what could make them come back.

What forms miss

Forms collect the answer. Conversations reveal the cause.

"Too expensive" may mean the value was unclear.
"Missing features" may mean the workflow never clicked.
"Switched provider" may reveal what a competitor explains better.
"No longer needed" may hide poor timing or weak adoption.

Newsletter unsubscribe

Churn can start with an unsubscribe

Send people from your unsubscribe flow to a Konvolo channel and learn why they left, why now and what would make them come back.

01 Redirect after unsubscribe
02 Ask the follow-up
03 Find what to change
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Konvolo interview
What made you unsubscribe?
Too many emails.
What made it feel like too many: the frequency, the content or the timing?
They came almost every week, but only a few felt relevant to how we actually use the product.
Frequency Relevance Timing

Adaptive questions

Questions that adapt to the answer

Konvolo keeps the conversation short and asks the follow-up that gets closer to the real reason.

Cancellation conversation
We are thinking about cancelling because we are not using it enough.
What made it hard to get value from it?
We never really understood how to use it in our weekly workflow.
Would a short walkthrough with support help you decide if it is worth keeping?

Questions Konvolo can ask

  • What made you consider leaving?
  • When did the product stop feeling valuable?
  • What would have made you stay?
  • What would need to change for you to come back?

What your team gets back

Churn feedback your team can actually use

See why customers leave, where patterns repeat and what to do next.

Churn reasons by theme

See the patterns behind lost customers.

Customer evidence

Keep the original words behind every theme.

Save and winback signals

See who may still be saved or won back.

Recommended actions

Give each team a clear next step.

How teams act on it

Turn churn feedback into decisions

CS

Customer success

Recover customers and improve renewal check-ins.

PX

Product

See which gaps or workflows keep causing churn.

ON

Onboarding

Find where customers fail to reach value.

LD

Leadership

Separate one-off complaints from revenue risk.

FAQ

Common questions

Can Konvolo help before a customer cancels?

Yes. It can catch the issue and route the customer to the right next step.

What happens after a customer has churned?

Konvolo asks what happened and what would need to change for them to come back.

How is this different from a cancellation survey?

A survey collects a fixed reason. Konvolo asks follow-up questions and finds the real cause.

Can we identify winback opportunities?

Yes. See which customers could return if the right things change.

Can the conversation match our brand and language?

Yes. A Konvolo channel can use your tone and visual style, and it can run conversations in many languages.

Start with churn

Find out why customers are leaving

Show us one churn moment you want to understand. We will show you what Konvolo can learn from it.