Data enrichment for account-based marketing fills in what you need to know about each target account: who the company is, whether now is a good time, and which people to reach. In practice, that’s three layers of data on every account in your list: firmographics, buying signals, and the contacts in the buying group.
Without enrichment, an ABM list is a set of company names. With it, each account comes with a size, a reason to reach out this month, and the names and roles of the people who decide.
The short answer
ABM data enrichment adds three layers to each target account:
- Firmographics. Industry, size, location, revenue, and tech stack, so you know the account fits.
- Buying signals. Hiring surges, headcount changes, funding, and leadership moves, each with a date, so you know when to act.
- Contacts. The senior people across departments, with verified emails and phones, so you can reach more than one person.
Lusha covers all three, across 29M+ companies and 520M+ contacts, with 26 buying signals refreshed weekly.
The three layers, and what each one answers
| Layer | The question it answers | Fields to look for |
|---|---|---|
| Firmographics | Does this account fit? | Industry, employee count, revenue, location, technologies used |
| Buying signals | Is now a good time? | Hiring surges, headcount growth, funding, new executives, intent topics, each with a date |
| Contacts | Who should we talk to? | Senior people by department, titles, role start dates, verified emails and phones |
Most ABM tools are strong on one layer. Teams then stitch a firmographic source, an intent source, and a contact source together, and the three don’t always agree on the same company. Enriching all three from one source keeps the account, its signals, and its people matched.
What an enriched target account looks like
Here is one target account, a cybersecurity company, enriched in Lusha on October 4, 2026. We searched for vice presidents and C-level contacts in sales, marketing, and IT.
Account: A***c
Industry: Cybersecurity
Buying signals (since July 1, 2026):
Surge in hiring 2026-07-20 26 new jobs in one week (usual: ~22)
Surge in hiring 2026-07-06 28 new jobs in one week (usual: ~23)
Senior contacts found: 38 (VP and C-level, sales, marketing, IT)
Marketing Chief Marketing Officer
VP, Corporate Marketing and Communications
VP, Global Partner Marketing
IT Chief Information Security Officer
President, Technology and Services
Sales VP of Sales
Regional VPs of Sales (several regions)
Credits used: 1 (contact search) + 3 (signals)Two things stand out. First, 38 senior people across three departments is a real buying group, so a campaign can reach marketing, security, and sales leaders at the same account instead of one contact. Second, the signals are honest about their size and age. Both surges ran about 15% to 20% above the usual pace, and both were in July. That’s steady growth worth noting in your research, not a trigger to launch a campaign this week.
Contacts above are shown by title only. Emails and phones are revealed per person when you’re ready to reach out.
How ABM data enrichment works, step by step
Start from your best customers → build the account list with lookalikes and firmographic filters → enrich each account with size, industry, and tech stack → attach signals and rank accounts by recent activity → map the buying group by department and seniority → reveal emails and phones for the people you’ll contact → sync accounts and contacts to your CRM and ad audiences.
Building the account list
- Lookalikes. Give Lusha five or more of your best customers, and it returns companies with a similar profile. Review the list before you use it. Lookalikes match on profile, so check that size and region fit your plan.
- Firmographic filters. Filter by industry, size, location, revenue, and technologies used.
- Signal filters. Narrow to accounts with recent hiring, headcount growth, or funding.
Read more about Lusha buying signals.
Ranking accounts by signals
A signal tells you when to act, and its date tells you how urgently. Rank your accounts in three tiers:
- Act now: a strong signal in the last two weeks, such as a large hiring surge in the department you sell to, or a new executive.
- Warm: signals in the last one to three months. Use them as context in your messaging.
- Watch: a good fit, but no recent signals. Keep them in always-on campaigns.
For job moves at target accounts, see tools that flag job changes.
Where to run it
- In Lusha: company search, lookalikes, signals, and contact search in one place.
- In your CRM: enrich account and contact records in Salesforce, HubSpot, or monday CRM. See CRM enrichment.
- In territory planning: split enriched accounts across reps. See territory planning.
- In Claude or ChatGPT: ask “Find the senior marketing and security leaders at these 20 accounts and tell me which ones have hired recently” through the Lusha MCP connector.
What to check in any ABM data tool
- Does it cover all three layers, or will you need to stitch sources together?
- Does every signal carry a date, and how often do signals refresh?
- Can you see contacts by department and seniority at a specific account?
- Does it publish separate email and phone accuracy figures? Lusha publishes 98% and 86%.
- Can it sync accounts and contacts back to your CRM?
What to know before you rely on it
- Lusha signals refresh weekly, and a few, such as website traffic and IT spend, refresh monthly.
- Coverage is deeper for mid-size and large companies than for very small ones.
- Lookalike results reflect the profile of your seed accounts. Check size and region before you add them to a campaign.
FAQ
What is data enrichment for account-based marketing?
Data enrichment for account-based marketing adds three layers of data to each target account: firmographics to confirm fit, buying signals to time outreach, and contacts across the buying group to reach the right people. Lusha provides all three from one source.
What data do you need for ABM?
You need firmographics, such as industry, size, and tech stack, dated buying signals, such as hiring surges and funding, and verified contacts across departments at each account.
How do you build an ABM target account list?
Start from your best customers, find similar companies with lookalikes, narrow with firmographic and signal filters, then review the list for fit before you enrich contacts.
How many contacts should you have per target account?
Enough to cover each department involved in the decision. Reaching people in more than one department means a deal doesn’t depend on a single contact.
Can I combine intent data and contacts in one tool?
Yes. Lusha includes intent topics among its company signals, alongside hiring, headcount, and funding signals, and returns verified contacts at the same accounts.
Related reading
- What is real-time lead enrichment for outbound?
- Which tools flag job changes and role shifts?
- What to use to enrich CRM records
- Lusha buying signals
Images and examples on this page are for illustrative purposes only. Example outputs are based on Lusha data, with personal details masked or removed for privacy.
