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Data Enrichment for RevOps and Data Teams

You do not have a list. You have a database, a decay rate, and everyone downstream complaining about both.

95,000+enrichments run
7,500users
25,000rows per run

From signing up to your first export

  1. Minute 0–2. Sign up. No card.
  2. Minute 2–5. Install the Google Sheets add-on, or copy your API key.
  3. Minute 5–8. Paste ten LinkedIn URLs, or drop in your CSV.
  4. Minute 8. Export verified emails and direct dials.

The problem is the decay rate, not the backlog

Contact data decays at roughly two to three percent a month. A one-off cleanup fixes the backlog and then starts rotting the day it finishes, which is why the same project gets re-run every eighteen months by whoever inherited it.

What actually holds is enrichment wired into the system: on record creation, on a schedule for anything older than a threshold you set, and on demand for a segment before a campaign. That is an API problem rather than a CSV problem, which is why this page leads with the docs.

What RevOps teams wire up

  • On create. A new record arrives with an email or a LinkedIn URL and comes out with title, company, domain and headcount, so routing and scoring have something to work with immediately.
  • On a schedule. Re-check anything untouched for ninety days. The output is both corrected fields and a job-change list, which is the single most useful thing a stale database can produce.
  • Before a send. Verify a segment ahead of a campaign so bounce rate never teaches the mailbox providers something you cannot unteach.
  • As a dedupe key. Resolving names and companies to a canonical domain and profile URL is what makes duplicates actually collapse.

How it plugs in

RouteUse when
REST APIYou are writing the integration yourself. One endpoint, an OpenAPI spec, credits charged on results rather than calls.
n8n or MakeYou want the pipeline visible and editable without shipping code.
HubSpot syncThe records live in HubSpot and should stay there.
Google SheetsThe team works in sheets and a migration is not happening this quarter.

What we will not claim

Match rates vary by market, seniority and how good your input field is. A LinkedIn URL resolves far better than a name and a company, and phone coverage is materially thinner than email everywhere. Benchmark it against a sample of your own database rather than a published figure, including ours.

Wire it in once instead of cleaning up every eighteen months

Free credits and a documented endpoint. Enough to prototype the job before you put it in front of anyone.

Start free — no card required