Signal mapping: the few signals that predict a buyer
Signal mapping is the work of figuring out which buying signals actually predict a buyer for your business, grouping them, and scoring them so you know which to act on today, which to nurture, and which to ignore.
The tools give you hundreds of signals. We map yours into a clear set and combine them into one priority score per account.
Buy it on its own, or as the targeting brain inside your motion.
A firehose of signals nobody acts on
Intent tools will sell you 700 signals. None tell you which few mean someone is about to buy from you, or what to do when one fires. So teams drown in the feed, or treat every signal the same and wonder why a "liked a post" lead converts like cold.
Hundreds of feeds, no read on which few actually predict a buyer for you.
Every signal treated the same, so the hot ones get lost in the noise.
A static list that never learns from what actually converted.
A signal is worth nothing until it is grouped, scored, and tied to a play.
From a firehose to a priority score, in five moves
We group your signals, rank them on a matrix, and combine them into one score per account.
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1
Group your signals
Sorted into default (ready out of the box), always-on (monitored continuously), and custom ones built for your market.
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2
Score and prioritize
Each signal plotted on how often it fires by how well it converts, sorting it into act-now, monitor, nurture, or ignore.
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3
Combine into one score
We weight the signals firing on each account into a single priority score, so the hottest rise to the top.
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4
Name what to ignore
We tell you which signals are noise for your business, so effort stays on what converts.
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5
Wire it onto your list
Detection runs against your real target accounts, so a row arrives with a reason and a score, not just a name.
What's included
- → Signal grouping into three categories
- → A per-signal priority score
- → A combined per-account score
- → A "what to ignore" list
- → Detection wired onto your target list
The map adapts to your market, and we pick the right signal tools for your stack, not a fixed set. Because we run the outbound too, what actually converted feeds back into the scoring, so it sharpens instead of going stale.
We map and score, not just pipe a feed
Most of the market sells you the raw signal feed and leaves the hard part to you. The hard part is knowing which signals predict a buyer, how to rank them, and what to do when one fires.
- ✕Sells you the raw signal feed
- ✕Leaves the hard part to you
- ✕Every signal treated the same
- ✕Goes stale, never learns
- ✓The few signals that predict your buyers
- ✓Ranked on a priority matrix
- ✓One score per account
- ✓Sharpens as you learn what converts
What you walk away with
The few signals that predict your buyers, grouped and named
A priority score that surfaces the hottest accounts first
A clear list of what to ignore
A signal map that sharpens as you learn
Standalone, or the targeting brain inside your full outbound motion. Either way, it is yours to keep.
Palm.ai
Alcméon
Mindflow
CEF.AI
Boolee
CoachHub
Inrō
Buster.AIPalm.aiAlcméonMindflowCEF.AIBooleeCoachHubInrōBuster.AIQuestions founders ask
How is this different from your ICP strategy work?
Do I need your full engine to use it?
Which signals do you cover?
More ways we plug in
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Classify every reply, answer objections, and alert your team the moment a lead goes hot.
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Capture comment and DM interest, qualify it, and pipe enriched contacts into your CRM.
Explore Instagram lead genWant the few signals that actually predict your buyers?
Book a fit check. We'll look at your ICP and your market, and map which signals are worth acting on.
Book a Fit CheckNo hard sell. No fake numbers. Real good work speaks for itself.