SALES

Win-back agent: pounce when a lost account drops your competitor

An agent monitors closed-lost accounts for signs they're leaving the competitor that beat you.

CategorySales
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRecurring win-back scan
  • ActionRetrieve deals lost to the competitor in HubSpotHubSpotHubSpot
  • ActionSearch Exa for competitor churn signalsExa
  • LogicAgent judges signal strength, drops noise
  • ActionWrite brief and reopen deal in HubSpotHubSpotHubSpot
  • OutputDeliver win-back brief to rep in SlackSlack

What it does

When you lose to a competitor, the best second chance is the moment that competitor falls out of favor. This agent watches for churn signals at accounts you lost to a named rival and builds a complete win-back case when the wind shifts.

When to use it

Use it when a specific competitor wins deals against you and you want to be first in the door when their customers get frustrated. Best for teams comfortable with an agent that reasons over messy public signals rather than a rigid rule.

How it works

  1. 1On a recurring schedule, the agent retrieves accounts in HubSpot lost to a competitor, with the rival's name on the deal.
  2. 2It runs targeted Exa searches for churn signals: migration posts, layoffs in that vendor's team, negative reviews, RFP reissues.
  3. 3The agent weighs the evidence and decides whether the signal is strong enough to act on, discarding noise.
  4. 4For qualified accounts it writes a win-back brief: original loss reason, the competitor pain found, and a differentiated pitch.
  5. 5It updates the HubSpot deal with the brief and re-opens the stage.
  6. 6It delivers the brief to the rep in Slack with a suggested first-touch message.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HubSpotCRM, deals, marketing, support.
  2. 2
    Connect ExaNeural search across the web.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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