CRM

HubSpot Fuzzy-Match Duplicate Merge with Slack Approval

Detects likely-duplicate HubSpot contacts using fuzzy name and email matching, then asks an operator to approve or reject each merge in Slack before anything is combined.

CategoryCRM
Enginesim
Difficultyintermediate
Triggerevent
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew or updated HubSpot contactHubSpotHubSpot
  • ActionSearch HubSpot for existing similar contactsHubSpotHubSpot
  • LogicScore fuzzy match; keep pairs above threshold
  • ActionPost candidate pair to Slack with Approve/RejectSlack
  • LogicWait for human decision
  • ActionMerge approved contacts in HubSpotHubSpotHubSpot
  • OutputConfirm merge in Slack threadSlack

What it does

Scans newly created or updated HubSpot contacts, finds probable duplicates already in your CRM, and routes every candidate pair to a Slack channel where a human approves or rejects the merge. No contact is ever merged automatically.

When to use it

Use this when your sales and marketing forms create overlapping records (typos, work vs. personal email, name variants) and you want dedupe hygiene without risking a bad automated merge that destroys lifecycle data.

How it works

  1. 1A new or updated HubSpot contact fires the trigger.
  2. 2The flow searches HubSpot for existing contacts and scores each against the new one on name, email, and company similarity.
  3. 3A logic step keeps only pairs above the fuzzy-match confidence threshold; below it, the run ends silently.
  4. 4Each surviving pair is posted to Slack with key fields side by side and Approve / Reject buttons.
  5. 5On approval, the flow calls HubSpot's merge API to combine the records, keeping the older one as primary.
  6. 6A confirmation with the surviving record link is posted back to the Slack thread.

Set it up

What you configure once, before turning it on.

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

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