CRM

Find Stripe customers with no matching Attio company

Compares paying Stripe customers against Attio by fuzzy domain and reports billing accounts that have no CRM record, so revenue is never invisible to your sales and success teams.

CategoryCRM
Enginesim
Difficultybeginner
Triggerschedule
Steps6
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule fires
  • ActionFetch active customers from StripeStripeStripe
  • ActionFetch company domains from AttioAttio
  • LogicFuzzy-match and isolate unmatched billing orphans
  • ActionWrite ranked orphan list to PostgresPostgreSQLPostgres
  • OutputSend revenue-ranked digest to SlackSlack

What it does

Reconciles the billing system against the CRM in the other direction: it surfaces Stripe customers who are paying money but have no corresponding company in Attio, which usually means an account the CRM is blind to.

When to use it

Run it weekly when finance and sales disagree on the active account list, or after a billing migration when some customers never got CRM records created for them.

How it works

A weekly schedule pulls active Stripe customers with their email domains and pulls all Attio company domains. Both sets are normalized, then a fuzzy-match step attempts to pair each Stripe customer to an Attio company. Customers that fail to match any company above the threshold are classified as billing orphans. The workflow writes the orphan list to Postgres with subscription value and last-payment date for triage, then sends a digest to Slack ranked by monthly revenue so the team backfills the highest-value missing accounts first.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect StripeCustomers, subscriptions, payments.
  2. 2
    Connect AttioReal-time CRM with structured data + powerful views.
  3. 3
    Connect PostgresAny Postgres URL — query, write, migrate.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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