Service businesses · Data, reporting & decision-making

Lost quote analysis & win-back

After a rejection it uncovers the real reasons automatically and drafts a slimmed-down counter-offer for price-sensitive buyers.

Avg. time saved
12 h/week· ≈ 6 h/month
Rollout
CoreDays 15–35
Who it is for
B2B and B2C service providers

In short

Lost quote analysis & win-back: After a rejection it uncovers the real reasons automatically and drafts a slimmed-down counter-offer for price-sensitive buyers. It typically gives back 1–2 hours a week to whoever does this by hand today. Built for: B2B and B2C service providers.

Typical hours saved per week for the people doing this by hand today, from the 2026 report's ranges. The AI writes what that time makes possible.

Example

Comes in

Quote rejected 14 days ago

The AI

  1. Sends a one-click anonymous “why?” survey

Comes back

Monthly: “65% of losses were lead time, not price.” Slim counter-offer drafted for price-sensitive buyers

Steps

  1. 1Survey on day 14
  2. 2Monthly lessons report
  3. 3Alternative offer to price-sensitive segment

Recipe: Win/loss analytics on lost quotes

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