CRM

Log Front replies to HubSpot with sentiment and next step

When a teammate replies in a Front shared inbox, this logs the exchange as a timeline activity on the matching HubSpot contact.

CategoryCRM
Enginesim
Difficultyintermediate
Triggerwebhook
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerFront message sent on monitored inboxFront
  • ActionFetch full conversation thread + contact emailFront
  • ActionScore sentiment and draft next stepOpenAI
  • LogicMatch HubSpot contact by email (create if missing)HubSpotHubSpot
  • OutputWrite timeline activity with sentiment + next stepHubSpotHubSpot

What it does

Every outbound reply your team sends from a Front shared inbox becomes a structured activity on the right HubSpot contact. The workflow reads the full thread, scores how the customer feels, drafts a one-line next step, and writes it all to the contact timeline so reps see context without leaving HubSpot.

When to use it

Use this when sales or success conversations happen in Front but your source of truth is HubSpot. It kills manual copy-paste logging and keeps the CRM current with sentiment signals the team can filter on.

How it works

  1. 1A Front webhook fires when a message is sent on a monitored inbox.
  2. 2The flow pulls the full conversation thread and the contact's email from Front.
  3. 3OpenAI classifies sentiment (positive / neutral / at-risk) and writes a concise next-step recommendation.
  4. 4It looks up the HubSpot contact by email; if none exists it creates one.
  5. 5A timeline engagement is written with the thread summary, sentiment label, and next step, then the source conversation is tagged 'logged' in Front.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect FrontShared inbox, conversations.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect HubSpotCRM, deals, marketing, support.
  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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