Use case

Learn why you really win and lose deals, straight from the calls

Corha mines your sales conversations for the real reasons deals close or slip, so product, marketing and sales can act on patterns instead of hunches.

See how it works
The problem

The real reasons hide in the calls

Sales teams have a gut feel for why deals are lost, but the truth is buried in hundreds of hours of call recordings no one revisits. Post-mortems on a handful of deals miss the pattern.

So the same objections keep costing you deals.

How Corha helps

What you can do with Corha

Mine every conversation

Corha reads your sales calls and notes at scale and surfaces the recurring reasons behind wins and losses.

Patterns, not anecdotes

See which objections, missing features and competitors actually move deals, ranked by how often they come up.

Close the loop with product

Turn recurring loss reasons into a prioritised, revenue-linked backlog the product team can act on.

How it works

From call recordings to a plan.

  1. 01
    Connect calls and CRM

    Bring in sales call recordings, notes and CRM context.

  2. 02
    Corha codes win/loss reasons

    Every conversation is analysed for the reasons deals were won or lost.

  3. 03
    Rank the patterns

    See the objections, gaps and competitors that move deals, ordered by frequency.

  4. 04
    Feed product and sales

    Route recurring reasons into the roadmap and into sales enablement.

Frequently asked

Questions about win-loss analysis

How do you run a win-loss analysis?
Gather evidence from sales calls, CRM notes and lost-deal interviews, code the reasons deals were won or lost, quantify the recurring themes, and route them to product, marketing and sales.
Where does the evidence come from?
Recorded sales calls, CRM notes and competitor mentions. Mining them at scale surfaces patterns a few manual post-mortems would miss.

See it with your own data.

Connect your first source and Corha will draft your starter personas in under five minutes.

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