Approved fields only
You choose what data can appear in copy. Every personalization claim traces back to a source column you approved.
Personalization before you send
Your audience doesn't share one path.
A warm lead, an event attendee, and a past customer should not get the same blast. Turn one messy list into the segments, message paths, and personalization fields your email tool will not build for you.
No demo. No CRM migration. Keep the sender you already use.
Open rate42%+18 pts
Click rate9%+6 pts
Reply rate7%+6 pts
From list to relevance
Clean. Segment. Personalize.
The campaign-prep work that usually takes spreadsheets, manual filters, and hours of rewriting — handled in one focused workflow.
Clean
Make messy audience data usable
Map inconsistent columns, separate useful context from risky data, and protect anything the AI should not see.
Segment
Find the paths hiding in your list
Turn one flat export into clear audience groups based on where people actually are in their relationship with you.
Personalize
Give each path the right message
Create segment-level strategy and controlled contact-level fields, then export everything for the sender you already use.
Try the campaign studio
Describe the audience branch. Watch it appear.
This interactive demo uses a sample list of 1,248 contacts. Try the examples or write your own instruction.
Summer campaign
Interactive demoTry an example
AI: 312 contacts found. Created from your instruction.
Live audience map
1,248 total contacts
New branchState = CA or location contains California
California contacts
25%
312 contacts
Everyone else
Keeps the approved campaign message
75%
936 contacts
Live preview
Audience plan and email strategy
The strategic layer — segments, suppression, allowed fields, and QA status — before copy ships.
Audience planDraft
total_contacts8,422
recommended_segments
Re-engage after evaluation412High
Renewal window — 60 days891High
Event attendee, no follow-up638Medium
Completed Course 1, not Course 21,204High
excluded1,146
Low relevance · active suppression · missing required fields
Email strategyReady to export
campaign_message
Product update + invitation to reconnect
segment_opening
Acknowledge prior evaluation; no pressure on why it stalled
allowed_fields
first_name · company · demo_date · role
blocked_fields
web_activity · inferred_budget · crm_notes
qa_review
10 edge-case examples approved
Proof over promises
Measure relevance in the sender you already trust.
Signal Send prepares the campaign; your ESP remains the source of truth for opens, clicks, and replies. Compare a normal blast with personalized paths using the same audience and offer.
We are collecting early campaign benchmarks now. Until those results are verified, the lift shown in the hero is illustrative—not a performance guarantee.
- 1
Keep your baseline
Use a recent comparable blast as the control.
- 2
Send the paths
Import Signal Send’s groups and personalized fields.
- 3
Compare the lift
Read opens, clicks, and replies inside your sender.
Built for real sends
Controlled, auditable, and designed for the mess you actually deal with
Targeting vs. mentioning
Not every data point belongs in an email. Signal Send separates what can guide targeting from what is appropriate to mention.
Voice stays yours
Approve the campaign message once. Signal Send adapts relevance — not your brand voice.
Confidence & fallbacks
Missing fields, low-confidence rows, and unsupported claims are flagged. Weak rows get segment-level copy, not invented facts.
Suppression built in
Exclude people who shouldn't receive a send — recent purchasers, active members, wrong lifecycle stage.
Export with audit trail
Segment assignment, allowed facts, blocked fields, and confidence score — columns your team can verify before send.
The doubts we hear
Fair questions. Straight answers.
Security
“Is my list safe here?”
Private workspace on your own instance. Job files are not pooled into public model training. You control what uploads and what exports.
QA
“How do I know the 1,990 emails I didn't inspect aren't weird?”
Every row gets a confidence score. Low-confidence records fall back to approved segment-level copy. Risky claims and missing fields are flagged before export — you review edge cases, not a random sample and hope.
Data
“What data does it actually use?”
Only fields you approve. Signal Send shows the source behind every personalization angle. No scraped web behavior, no inferred budget, no private notes unless you explicitly allow them.
Reality
“What if our data is garbage?”
Signal Send tells you which fields are reliable enough for copy, which should only guide segmentation, and which should stay out of customer-facing text — before you write a single line.
Trust
“How does it avoid feeling creepy?”
Targeting data and mentionable data are separate. A renewal date can place someone in a segment without appearing in the email. You ban fields and concepts from copy entirely.
Ease
“I don't have time to learn another tool.”
Upload a spreadsheet, answer a short wizard, review the audience plan. No SQL, no mail-merge gymnastics, no rebuilding your stack.
The outcome isn't “AI wrote my emails.” It's more relevance from the audience you already have — and more of the right people taking the next step.
Review the strategy. Inspect the edge cases. Export a campaign your team can trust.