CRM Enrichment

What it means

Most real-estate and sales CRMs accumulate records faster than they accumulate complete records. A new lead lands with a name and an address and nothing else. Enrichment fills the gaps automatically — phones with line type, emails, mailing addresses, sometimes related persons — so the lead is dial-ready by the time a rep opens it. Under the hood, the appended data usually comes from a people search API call triggered by the CRM.

Record enrichment, contact enrichment, account enrichment

The same mechanism goes by several names, and the distinction is what the record represents rather than how the plumbing works.

• Record enrichment is the generic term — take a row that is missing fields, resolve it against an external dataset, write the missing fields back.
• Contact enrichment means the row is a person, and the fields being appended are ways to reach that person: phone, email, current mailing address.
• Account enrichment means the row is a company, and the appended fields are firmographic — size, industry, domain, technologies in use.

That last distinction matters more than it sounds, because it splits the vendor landscape in half. The large B2B enrichment platforms are built around work identity: a business email, a job title, a company. Real-estate and consumer workflows need residential identity — the mobile number that reaches the person who owns 412 Maple Street, whose name appears on a deed and nowhere on LinkedIn. A B2B enrichment API pointed at a property-owner list returns almost nothing, and the failure is silent: the job runs, the match rate is poor, and it looks like a data-quality problem rather than a category mismatch.

Three patterns that dominate

• On-create webhook. When a new contact is added, your CRM hits the enrichment API and writes back the result. The lead arrives complete before anyone touches it.
• Tag-triggered enrichment. A rep adds a tag — "needs phone," "trace this" — and the automation enriches just that record. Humans stay in control of spend while the export-and-reimport loop disappears.
• Scheduled re-enrichment. A recurring job re-skips contacts whose primary number was marked "wrong number" or "disconnected," so dead records heal instead of rotting.

Implementation details decide whether enrichment helps or hurts:

• Field mapping. Write appended data to dedicated fields — standard or custom — rather than overwriting whatever a rep typed, so you always know which numbers came from where.
• Source filtering. Enrich the leads that arrive as bare name-and-address records from lists; skip the inbound form-fills who already gave you a working number.
• Test before enabling. Run each rule against a sample lead and inspect exactly which fields it writes.
• Log everything. Each enrichment should record what triggered it, what matched, and what it cost — that log is how you catch a misconfigured rule before it drains the budget.

The metric that matters is dial-ready rate: the share of new leads with a working number attached by the time a rep opens them. Wrong-number dispositions feed the re-enrichment loop, and the cycle closes.

How to enrich CRM data with an API

The integration shape is the same across every CRM that can send a webhook, and it is four steps:

1. Pick the trigger. A record is created, a tag is added, or a scheduled job selects records matching a filter. Whichever it is, the trigger should be narrow enough that you can predict how many enrichments it will fire in a day.
2. Send the identifiers you actually hold. For residential identity that means a name plus an address, city and state — not an email, which is the identifier B2B enrichment is keyed on and the one a property record almost never carries.
3. Branch on the response. A match maps into your fields; a miss is logged. Under per-match pricing a miss costs nothing, so the sensible default is to attempt rather than to pre-filter.
4. Write to dedicated fields. Never overwrite what a rep typed. Appended data belongs in its own fields so that provenance survives, and so a bad enrichment run can be reversed.

For list-sized workloads, the same job moves to an asynchronous batch endpoint instead — upload a file, poll for status, download the enriched result — which is the right shape whenever you are enriching more records than a synchronous loop can politely hold open. The full request and response reference for both shapes is in the API documentation.

How Ava Data handles crm enrichment

Ava Data's live CRM integration is Follow Up Boss, and it implements all three patterns natively. Rules trigger on new lead created or tag added, optionally filtered by lead source. Each rule chooses its enrichment — phone, email, phone + email, demographics, or a full Deep Search — and maps the returned data into the Follow Up Boss standard or custom fields your team already uses. You can test a rule against a sample lead before enabling it, switch individual rules on and off, and review an activity history showing every lead, trigger, match summary, and the credits charged.

Per-match pricing keeps automation safe to leave running: 1 credit (2¢) per phone match, 2 credits (4¢) for phone + email, 10 credits (20¢) for Deep Search — and nothing on a miss. The 24-hour refresh means re-enrichment actually surfaces newer numbers instead of returning the same dead record.

On another CRM? The dashboard accepts a CSV export and returns an enriched file you can re-import, which is a complete workflow on its own and needs nothing wired up. Developers can integrate the REST API into any system that can send a webhook: the endpoints, fields and error shapes are documented at avadata.ai/docs/, generated from the published OpenAPI spec at /openapi.json, so a typed client can be generated rather than hand-written. HubSpot, Salesforce, GoHighLevel and Zoho integrations are not live yet — for those, the CSV round trip or a webhook into the API is the current path.

What this does not do: Ava Data enriches residential identity — the person behind a property record. It is not a firmographic or account-enrichment source, and it does not append job titles, company size, or business email. For a property-owner list that is the right trade; for a B2B account list it is the wrong tool.

For developers: example API call

If you'd rather click than code, the Ava Data dashboard returns the same data without a single line of JSON. The snippet below is for teams wiring Ava Data into a CRM, dialer, or AI pipeline.

{
  "firstName": "John",
  "lastName": "Smith",
  "address": "123 Main St",
  "city": "Austin",
  "state": "TX",
  "dataTypes": ["phone", "email"]
}

{
  "success": true,
  "data": {
    "matchFound": true,
    "creditsCharged": 2,
    "name": "John Smith",
    "phones": [{ "number": "5125551234", "type": "mobile" }],
    "emails": [{ "address": "john@example.com" }]
  }
}

Related terms

• People Search API (Person Data API) — A people search API — often called a person data API — programmatically returns identity and contact information for an individual given a name and a few disambiguating fields: address, city, state, age, or DOB.
• Batch Skip Tracing — Batch skip tracing — also called bulk skip tracing — runs a skip trace over a whole list of records at once, typically a CSV of names and addresses, and returns matched contact information as a downloadable file or through an async API.
• Skip Tracing — Skip tracing is the process of locating a person's current contact information — phone numbers, email addresses, and known associates — by stitching together public records, utility data, and proprietary identity graphs.

Frequently asked questions

What is CRM enrichment?

CRM enrichment is appending missing fields to records you already hold — phone, email, mailing address, related persons — automatically, rather than having a person look them up. It usually runs on a webhook when a record is created or tagged, or as a scheduled batch job over records matching a filter.

How do I enrich CRM data with an API?

Pick a narrow trigger (record created, tag added, or a scheduled selection), send the identifiers you actually hold, branch on the response, and write appended data to dedicated fields rather than over what a rep typed. For residential identity the identifiers are a name plus an address, city and state — not an email. Ava Data's endpoints, fields and error shapes are documented at avadata.ai/docs/, generated from the published OpenAPI spec.

What is the difference between contact enrichment and account enrichment?

Contact enrichment resolves a person and appends ways to reach them; account enrichment resolves a company and appends firmographics like size, industry and domain. The split matters because most large enrichment platforms are built around work identity — business email and job title — while property-owner and consumer workflows need residential identity, which those platforms largely do not carry.

Which CRMs does Ava Data integrate with?

Follow Up Boss is the live integration, with rules that trigger on new lead created or tag added, map returned data into standard or custom fields, and log every enrichment with its match summary and credits charged. HubSpot, Salesforce, GoHighLevel and Zoho are coming soon. Any other system can use the CSV round trip in the dashboard or call the REST API directly.

What does CRM enrichment cost?

Ava Data charges per match: 1 credit (2¢) for a phone, 2 credits (4¢) for phone plus email, and 10 credits (20¢) for a Deep Search that also returns related persons. Nothing is charged when a search returns no match, which is what makes it safe to leave an automation running against an unpredictable lead flow. The $9/month plan includes 100 credits.

How often should enriched records be re-enriched?

Drive it off dispositions rather than a calendar. A record marked wrong number or disconnected is the signal to re-enrich; records nobody has called yet are not. Ava Data's identity graph refreshes every 24 hours, so a re-enrichment run returns what is current rather than the same stale record a monthly-refresh source would hand back.