Mail-merge template
248 contacts · identical opener
Hi {{first_name}}, I noticed you work at {{company}} and wanted to reach out about our solution. We help companies like yours improve their GTM. Would you be open to a quick chat this week?
AI email drafting
Per-lead sequences. Offering + enrichment signals. Nothing sends without your review.
CueGrowth drafts a starter and follow-ups for every row in your enriched list—grounded in offering context and enrichment signals, not one mail-merge template with a first-name token. Review each message before anything goes out.
- Per-lead sequences—starter + follow-ups on every row
- Offering context and enrichment signals cited in every draft
- Human-in-the-loop review before anything sends
- 744 messages from one list—not one template blasted 248 times
- Stop sending {{first_name}} openers to unqualified lists
See also Offering intelligence, Leads search, and Lead enrichment.
Live preview
CueGrowthAI Messaging744 messages · Per-lead draftsInteractive
+ Create AI Messaging
Lists12
Generated248
Connection186
| Name | Leads | Goal | Created | ||
|---|---|---|---|---|---|
| Enterprise CROs — West | 248 | connection | 1w ago | ||
| Demand Gen Leaders | 142 | connection | 2w ago | ||
| RevOps Directors | 96 | nurturing | 2w ago |
Watch the drafting flow—or pause, open a list, and generate messages yourself.
Why {{first_name}} still goes out to 248 people
Most teams don't have a drafting problem—they have a mail-merge problem. One template loads into the sequencer, merge fields fill in, and the same opener hits every row. Enrichment might exist somewhere in a spreadsheet, but the draft never cites it. Replies stay flat because nothing in the message proves you did the research.
Without CueGrowth
- One template → 248 contacts → same opener
- {{first_name}} + {{company}}—no stack, funding, or role context
- Sequencer sends before anyone reviews the copy
With CueGrowth
- Per-lead starter + 2 follow-ups on every row
- Offering proof + enrichment signals cited in each draft
- Human-in-the-loop review before anything goes out
See the difference per-lead drafting makes
Toggle scenarios to compare sequencer templates vs CueGrowth's offering- and signal-grounded drafts.
Per-lead sequence
744 messages—starter + 2 follow-ups unique to each lead in the list
248 startersPer-leadSignal-grounded
Mail-merge vs per-lead drafting
| Capability | Sequencer templates | CueGrowth |
|---|---|---|
| Starting point | One template for the whole list | Enriched list + offering thread |
| Personalization | {{first_name}} and {{company}} | Signals + proof per row |
| Sequence | Same 3 emails × 248 contacts | Starter + follow-ups per lead |
| Review | Auto-send from sequencer | Preview and edit before send |
| Outcome | Flat replies, burned lists | Proof-grounded outbound at scale |
How AI messaging works
Select a step to jump to the live demo—or pause it and walk through yourself.
How per-lead generation works
CueAgent doesn't blast one template—it configures goal and offering once, then drafts a unique starter + follow-ups for every row. Preview each opener before anything goes out.
Configure goal + offering
Set connection goal, attach offering proof, and pick starter + 2 follow-ups. Same enriched list and offering thread—no re-upload.
CueAgent generates per row
The > generate.messages command runs across every lead. 744 sequences from one list—each citing signals from the enriched row.
Preview lead by lead
Review starters one at a time—248 different openers, not one {{first_name}} token swapped 248 times. Edit before anything goes out.
CueAgent · AI Messaging
GoalInitiate a conversation around the prospect's role priorities and core company product.
OfferCueGrowth
Sequence3 messages (Starter + 2 follow-ups)
What makes drafts different
CueGrowth drafts aren't GPT guessing from a template—they're assembled from the offering thread, enriched list, and role context already in your workspace. Every starter cites proof; every follow-up branches on reply behavior.
- Offering proof cited in every starter—not re-explained from memory
- Enrichment signals per row—funding, stack, hiring, product context
- Per-lead sequences—starter + 2 follow-ups, not per-campaign templates
- Human-in-the-loop before send—nothing auto-blasts
- Messages generated
- 744
- Leads in list
- 248
- Messages per lead
- 3
- Grounding
- Offering-aware
What grounded this draft?
Every opener pulls from upstream context already in workspace—offering intelligence, enrichment signals, and the list you segmented. Click a chip to see where that context lives.
Marcus Webb · VP Sales · Northgrid
Marcus, Northgrid's platform for revenue teams is sharp. I assume as VP Sales you apply a similar data-first approach to your own GTM. We automate the research part of that for outreach. Connecting with other data-driven revenue leaders.
Per-lead sequence workflow
Every row gets a starter and two follow-ups—not one campaign template. Branches handle no-reply bumps and nurture handoffs without rebuilding context.
Starter
Per-lead opener citing company product, role priority, and offering proof.
Follow-up 1
Adds new enrichment signal or proof point if no reply after 3 days.
No replyBump with new signal from enrichment column
Follow-up 2
Value bump or break-up—still grounded in row context, not a generic template.
RepliedNurture branch → hand off to unified inbox
Drafting connects to every upstream and downstream step
AI messaging is step four in the CueGrowth pipeline—lists arrive enriched, offering context is already loaded, and approved drafts hand off to campaigns and inbox without a sequencer export. Click each step to see how draft context flows through the workspace.
Click a pipeline step to see how messaging context shows up in that workspace view.
04
AI email drafting
Draft per-lead sequences with proof
CueAgent drafts starter + 2 follow-ups per lead—744 messages from one list. Preview and edit each opener before anything goes out.
Offering thread · 744 messages generated
Generate messages for rows with funding signals in this list
744 generated248 leadsStarter
Sequence step: Starter
Messages generated
Starter
Marcus, Northgrid's platform for revenue teams is sharp. I assume as VP Sales you apply a similar data-first approach…
Every lead gets a personalized sequence—not one template blasted to the list.
Workspace preview · Draft
Common questions
Does CueGrowth send emails automatically?
No. CueGrowth prepares per-lead drafts and sequences. You review and approve before anything goes out through your email setup.
How does personalization work?
CueAgent uses offering context, enrichment signals, and role priorities per row—company product, funding, stack, hiring—to craft starters and follow-ups that sound like your team did the research.
Is this one template with merge fields?
No. Every lead gets its own starter and follow-up sequence. The same list can produce 744 different messages—not one {{first_name}} opener copied 248 times.
Does drafting connect to enrichment?
Yes. AI messaging reads from the same enriched list and offering thread—funding signals, priorities, and proof points flow directly into drafts without a CSV export.
Can I edit generated messages?
Yes. Preview and edit each starter before continuing. Human-in-the-loop is built in—nothing sends without your review.
Can CueGrowth replace Outreach for drafting?
For per-lead drafting grounded in offering and enrichment—yes. CueGrowth generates 744 unique messages from one list, not one mail-merge template. Many teams still send through Outreach or Apollo after review; CueGrowth is the context layer that stops re-uploads between research, drafts, and sequences.