Approved fields only
You choose what data can appear in copy. Every personalization claim traces back to a source column you approved.
Live editing
Audience plans change. A new region, a different lifecycle stage, or a last-minute offer shouldn't mean rebuilding your whole strategy. Describe the change in plain English and Signal Send updates the segment, who belongs in it, and the draft copy — so you stay in control of the plan until it's right.
That matters because relevance isn't a one-shot guess. It's something you refine with your judgment before anything hits the inbox.
From list to relevance
The campaign-prep work that usually takes spreadsheets, manual filters, and hours of rewriting — handled in one focused workflow.
Clean
Map inconsistent columns, separate useful context from risky data, and protect anything the AI should not see.
Segment
Turn one flat export into clear audience groups based on where people actually are in their relationship with you.
Personalize
Create segment-level strategy and controlled contact-level fields, then export everything for the sender you already use.
Why it matters
A blast treats everyone the same. Personalization means each customer gets the information that fits where they are — not a wall of details meant for someone else. When the message is relevant, people open, click, and move. When it isn't, they tune out.
Quick setup
Paste your site and Signal Send drafts the product story, value prop, and messaging context for you. You review and tweak — instead of filling a long form from scratch before you can segment a list.
Built for real sends
You choose what data can appear in copy. Every personalization claim traces back to a source column you approved.
Not every data point belongs in an email. Signal Send separates what can guide targeting from what is appropriate to mention.
Approve the campaign message once. Signal Send adapts relevance — not your brand voice.
Missing fields, low-confidence rows, and unsupported claims are flagged. Weak rows get segment-level copy, not invented facts.
Exclude people who shouldn't receive a send — recent purchasers, active members, wrong lifecycle stage.
Segment assignment, allowed facts, blocked fields, and confidence score — columns your team can verify before send.
Protect your data
Not every column belongs in an AI prompt. Mark fields you don't want sent to the model, and Signal Send replaces them with placeholders — so you still get useful structure for segmentation without exposing private data.
Private workspace on your own instance. Job files are not pooled into public model training. You control what uploads and what exports.
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.
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.
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.
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.
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.