CUSTOMER SUPPORT

Flag low-CSAT Intercom conversations as churn risk in Attio

Watches Intercom for conversation ratings of 1 or 2 stars, classifies the dissatisfaction reason with an LLM.

CategoryCustomer Support
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerIntercom conversation ratedIntercomIntercom
  • LogicKeep only 1-2 star ratings
  • ActionClassify dissatisfaction reasonOpenAI
  • ActionFind company by email domainAttio
  • OutputWrite churn-risk note to AttioAttio

What it does

Every time a customer rates a support conversation poorly in Intercom (1 or 2 stars), this workflow turns that raw signal into structured intelligence on the account. It extracts the reason behind the bad rating and writes it back to the company record in Attio, where customer success can act before the renewal conversation goes sideways.

When to use it

Run this when your CSAT scores live in Intercom but your account health and CSM workflows live in Attio, and low ratings currently disappear into a support inbox no one reviews for renewal risk.

How it works

  1. 1An Intercom conversation rating webhook fires when a customer submits a rating.
  2. 2A filter passes only ratings of 1 or 2 stars; anything higher stops the run.
  3. 3An LLM reads the conversation transcript and rating remark, then returns a short reason category (bug, pricing, slow response, missing feature) and a one-line summary.
  4. 4The workflow looks up the company in Attio by the customer's email domain.
  5. 5It appends a timestamped churn-risk note with the category, summary, and a link back to the Intercom thread on that company record.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect IntercomConversations, contacts, articles.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AttioReal-time CRM with structured data + powerful views.
  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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