Find & enrich leads
50+ signals per row. AI columns across the full list. Qualify before you draft.
Import a flat CSV or CRM list—CueGrowth dedupes rows, fills 50+ enrichment signals per lead, and lets you prompt AI columns that run custom research across every row. Enriched lists flow straight into AI messaging with proof points intact.
- CSV, CRM, and leads-search lists—deduped on import
- 50+ signals per lead: title, stack, funding, hiring, firmographics
- AI columns answer custom research questions across the full list
- Segment on enriched data before you draft
- Stop blasting {{first_name}} sequences to unqualified lists
See also Offering intelligence, Leads search, and AI messaging.
Live preview
CueGrowthLead Enrichment| Name | Leads | Source | Created | ||
|---|---|---|---|---|---|
| Enterprise CROs — West | 248 | csv | Today | ||
| Mid-Market VP Sales | 186 | csv | Yesterday | ||
| Series B Fintech Leaders | 100 | csv | 1 week ago | ||
| Demand Gen Leaders | 892 | csv | 2 weeks ago | ||
| GTM Leaders — EMEA | 156 | csv | 3 weeks ago |
Watch the enrichment flow—or pause, open a list, and add a column yourself.
Why most outbound is spray and pray
Most teams never enrich—they import a CSV, load it into a sequencer, and blast {{first_name}} templates to hundreds of contacts. Nobody checks stack fit, funding, or hiring signals because research doesn't scale and enrichment feels like a separate project. Replies stay flat, lists get burned, and the few reps who manually stalk LinkedIn can't keep up.
Without CueGrowth
- Import CSV → load sequencer → blast generic sequence
- {{first_name}} + {{company}}—no stack, funding, or ICP fit
- Enrichment skipped—or one rep researches 10 rows by hand
With CueGrowth
- 50+ signals auto-fill on import—before anyone drafts
- AI columns qualify 248 rows in minutes, not days
- Segment on enriched data → draft only rows worth reaching
See the difference enrichment-first outbound makes
Toggle scenarios to compare spray-and-pray outbound vs CueGrowth's enrichment-first qualification.
Enrich first, draft second
Import → enrich → filter on Series B + hiring SDRs → draft only qualified rows
Spray & pray vs enrichment-first
| Capability | Spray & pray outbound | CueGrowth |
|---|---|---|
| Starting point | Flat CSV → straight to sequencer | Deduped list + 50+ auto signals |
| Enrichment | Skipped—blast templates instead | 50+ signals + AI columns on every row |
| Signals | {{first_name}} and {{company}} only | Stack, hiring, funding, ICP fit |
| Qualification | None—pray for replies | Segment before you draft |
| Outcome | Low reply rate, burned lists | Proof-grounded drafts on qualified rows |
How lead enrichment works
Select a step to jump to the live demo—or pause it and walk through yourself.
How AI columns work
CueAgent doesn't just append static vendor fields—you prompt custom research questions that run across every row in your list. Results land as new columns you can filter, segment, and cite in drafts.
Name your column
Give the column a label—Funding signal, Stack fit, Expansion timing—so it shows up alongside your base enrichment fields in the grid.
Write a research prompt
Describe what you want to know in plain language. CueAgent translates it into a per-row research task—not a one-off Google search.
CueAgent runs it on every row
The column fills across your full list in minutes. Filter on results, segment qualified rows, and carry signals into AI messaging.
“Find recent funding rounds and expansion signals for each company in this list.”
Enriching row 0 of 248 leads
50+ signals on every row—not four merge fields
CueGrowth fills standard enrichment fields automatically on import—title, headline, firmographics, stack, hiring, funding, and more. Add AI columns for bespoke research. Every signal stays in the same grid you segment and draft from.
Title & role
Headline, seniority, department, tenure
Firmographics
Employee count, revenue band, industry, geography
Funding
Last round, amount raised, investors, stage
Tech stack
Cloud, infra, dev tools, detected integrations
Hiring
Open roles, velocity, department growth signals
Social
LinkedIn activity, company posts, engagement
- Base signals populate on import—no manual research per row
- AI columns add custom research questions across the full list
- Filter and segment on any column before drafting
- Signals per lead
- 50+
- Example list
- 248 leads
- AI columns
- 4 custom
- Data points
- 51.2k
Enrichment connects to every downstream step
Lead enrichment is step three in the CueGrowth pipeline—lists arrive from offering-grounded search, get qualified with 50+ signals and AI columns, then hand off to messaging without a CSV export. Click each step to see how enrichment fits the full workspace.
Click a pipeline step to see how enriched list context shows up in that workspace view.
Find & enrich leads
Enrich every row before you draft
50+ signals auto-fill on import. AI columns run custom research across 248 leads—funding, stack, hiring, expansion—then segment before you draft.
Find recent funding rounds and expansion signals for each company in this list.
Lead Enrichment Enterprise CROs · West
List enriched
Charles Kim · CRO · Alloy Automation
Workspace preview · Enrich
Common questions
What sources can I import from?
CSV uploads, CRM imports, and lists saved from leads search. Accelerate includes all integrations; Enterprise adds custom setup and SSO.
How do AI columns work?
You name a column and write a research prompt—e.g. recent funding or expansion signals—and CueGrowth runs it across every row in the list. Results appear as new columns you can filter and segment on.
What's the difference between base signals and AI columns?
Base signals are 50+ standard enrichment fields filled automatically on import—title, headline, firmographics, stack, hiring, and more. AI columns are custom prompts you define that run bespoke research across the full list.
Can I enrich lists from leads search without exporting?
Yes. Lists saved from leads search land in lead builder with filters intact. Add AI columns and segment without a CSV export loop.
How does offering context affect enrichment?
ICP criteria and proof points from offering intelligence qualify enrichment columns—rows match what you sell, and AI columns can reference positioning context when running custom research across the list.
Can CueGrowth replace Clay for enrichment?
For list enrichment wired to outbound—yes. CueGrowth fills 50+ signals per row, runs AI columns across the full list, and carries enriched context into AI messaging and inbox—no Clay waterfall export loop. Teams doing complex multi-vendor research tables may still use Clay alongside CueGrowth.