Resolve email lists to professional profiles to lift ad match rates

Match more of a CRM or marketing list to professional profiles so ABM audiences reach the intended people.

Get a free API key + $5 Get a sample run

Free API key
No credit card
Run your sample

A selection of teams that run this job on Forager · plus other sales-tech platforms

Uses POST /person_detail_reverse_lookup/by_email/ · Reverse email lookup API reference

What it costs: Charged per request: credit pricing.

How the data flows

One input → Reverse email lookup + Person enrichment → 3 fields sample data

01 · Inputs

Your list

contacts.csv · 1,200 rows

02 · Forager

Reverse email lookup + Person enrichment POST /person_detail_reverse_lookup/by_email/

Match found

03 · Outputs

Alex SampleVP Revenue Operations · Example Inc.

public profile identifier: /in/alex-sample
current organization: Example Inc.
role title: VP Revenue Operations
name: Alex Sample
mobile: +1 (212) 555-0199
work email: alex@example.com

3 fields in the responseexample data

Steps

Send each email (work or personal) to POST /person_detail_reverse_lookup/by_email/
Collect the public profile identifier and current organization from the response
Upload matched profiles alongside emails as the matched audience
Compare match rate against the email-only upload

import json, os, requests

BASE = "https://api-v2.forager.ai/api/{account_id}/datastorage"
HEADERS = {"X-API-KEY": os.environ["FORAGER_KEY"]}
body = json.load(open("request.json"))  # request fields: see the API reference

# 1. Send each email (work or personal) to POST
# /person_detail_reverse_lookup/by_email/
r1 = requests.post(f"{BASE}/person_detail_reverse_lookup/by_email/", headers=HEADERS, json=body)

# 2. Collect the public profile identifier and current organization from the
# response

# 3. Upload matched profiles alongside emails as the matched audience

# 4. Compare match rate against the email-only upload

# 1. POST /person_detail_reverse_lookup/by_email/
curl -X POST \
  https://api-v2.forager.ai/api/{account_id}/datastorage/person_detail_reverse_lookup/by_email/ \
  -H "X-API-KEY: $FORAGER_KEY" \
  -H "Content-Type: application/json" \
  -d @request.json

Generated from the recipe stepsRequest fields: API reference

Run it yourself: Reverse email lookup API reference

Get a free API key + $5 Get a sample run

Free API key
No credit card
Run your sample

Inputs and outputs

Inputs	Outputs
CRM or marketing email list	`public profile identifier`
	`current organization`
	`role_title`

Questions about this recipe

How can I improve my matched audience match rate?

Upload matched profiles alongside emails as the matched audience. Compare match rate against the email-only upload.

What does it cost to resolve email lists to professional profiles to lift ad match rates?

Reverse email lookup: 5 credits per request, charged whether or not data comes back. Person enrichment: 1 credit per request, charged whether or not data comes back. Growth's 8,250 monthly credits cover 8,250 person enrichments, or a mix. Self-serve plans are Starter, Growth, Pro and Scale. See plans and prices

What do I need to run this recipe, and what comes back?

You send CRM or marketing email list. You get back current organization, public profile identifier and role_title, as JSON. You also need a Forager API key, which comes with a free account.

Can I convert a list of emails into professional profiles?

Match more of a CRM or marketing list to professional profiles so ABM audiences reach the intended people. ABM campaigns reach more of the intended accounts on social ad platforms.

Can I test reverse email lookup for free?

Yes. Create a free account at app.forager.ai: it comes with $5 in free credits and an API key, and there is no credit card to sign up. Run it on records you already know, or book a demo and send us a list: we run it and show you what we find.

When should I run this workflow?

Marketing uploads a contact list as a matched ad audience and sees a low match rate. ABM campaigns reach more of the intended accounts on social ad platforms.

Which Forager products does this recipe use?

Reverse email lookup and person enrichment. Reverse email lookup: turn an email address into a full person profile: name, title, company, location and social links. Person enrichment: a full professional profile for a person from a LinkedIn URL, email or phone: experience, education, skills and contact channels.

How do I know the data is right?

The test that counts is your own: send a list of profiles you care about. We run it and show you what we find, number by number, so you can measure hit rate and connect rate yourself.

Which tools can run this workflow?

Native in Clay, partner-built in Deepline and Cargo and called through the API from Make, n8n and your own code. Or call the endpoints in the steps above from your own code with one API key.

How many steps is this workflow?

4 steps: send each email (work or personal) to POST /person_detail_reverse_lookup/by_email/, collect the public profile identifier and current organization from the response, upload matched profiles alongside emails as the matched audience and compare match rate against the email-only upload.

Do I need a subscription?

Not to test: a free account comes with $5 in credits. To keep using Forager, choose a monthly or yearly plan. Monthly plans cancel anytime and unused credits roll over; yearly plans grant all credits upfront and cost 10% less. Larger volumes are agreed with our team.

Can our users see Forager data in our product?

Yes, under platform terms. Self-serve plans cover internal use by your own team. Showing Forager data to your users, or passing records on, is licensed separately: talk to sales about volume and which fields your users need to see.

A selection of teams that run this job on Forager · plus other sales-tech platforms

Clay
- GTM workflow builders
Selected use case: Forager mobile numbers, emails and people data inside Clay tables.
Juicebox
- AI candidate sourcing
Selected use case: Forager data behind its PeopleGPT search and sourcing agents.
Nooks
- Power & parallel dialers
Selected use case: mobile numbers inside their dialer.
Vieu
- ABM & intent
Relationship-mapping platform that helps sales teams and AI agents find warm introductions.
HubSpot
- CRM add-ons
Selected use case: enriching contact and company records with people, company and job-posting data.
Cortex Intelligence
- ABM & intent
GTM intelligence platform for account research and outbound.
Epoch
- ABM & intent
B2B event marketing platform.
Eggi.io
- ABM & intent
Startup that maps a company’s extended network to its targets so teams can ask for warm introductions.

Resolve email lists to professional profiles to lift ad match rates

How the data flows

Steps

Inputs and outputs

Questions about this recipe

How can I improve my matched audience match rate?

What does it cost to resolve email lists to professional profiles to lift ad match rates?

What do I need to run this recipe, and what comes back?

Can I convert a list of emails into professional profiles?

Can I test reverse email lookup for free?

When should I run this workflow?

Which Forager products does this recipe use?

How do I know the data is right?

Which tools can run this workflow?

How many steps is this workflow?

Do I need a subscription?

Can our users see Forager data in our product?

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