Discover your real ICP from a customer or churn list
Your ICP doc is mostly demographic guesswork from sales calls. Demographics don't predict who buys, renews, or churns.
A behaviorally-grounded ICP. The foundation for every downstream activation.
Solutions
Analyze the audience you have. Generate the audience you need. Activate against signal that matters.
01 · Analyze
Trait-lift analysis on the customers you know — to surface the behavioral signals that actually explain who they are.
Your ICP doc is mostly demographic guesswork from sales calls. Demographics don't predict who buys, renews, or churns.
A behaviorally-grounded ICP. The foundation for every downstream activation.
You learn which customers are high-LTV after you've already spent the dollars to acquire them. Growth dollars chase volume because there's no real signal at the top of the funnel.
Growth dollars routed to the cohorts most likely to retain and expand.
02 · Generate
Compose net-new audiences from real-world behavioral signal — sized to your market, refreshed daily, yours to own.
Vendor catalogs decide what audiences exist. The behavioral combination only you understand isn't on the menu.
Audiences nobody else can replicate. Sized to your real market. Refreshed continuously.
Meta and Google build lookalikes from page views, clicks, and demographic guesses. Audiences converge on the obvious patterns. CAC creeps up. ROAS drops.
Lookalikes that hold up as they scale. Lower CAC. Higher ROAS.
03 · Activate
Push the right message to the right person at the right moment — and suppress when the signal says wait.
The campaign calendar says reach out today. The customer's actual life — recent purchase, life event, just churned — says don't.
Outreach timed to the customer's reality, not the campaign calendar.
Your personalization engine knows what the customer did inside your app. It knows nothing about what they did this week in the rest of their life.
Messaging that reflects what the customer is actually doing right now.
Most “always-on” marketing is monthly with extra steps. The signal that would have changed the answer arrived three days after the campaign shipped.
Decisions that operate at agent speed, not agency speed. The window doesn't close before you act on it.
You blast every lapsed customer with the same 20%-off offer. A few come back. Most churn again 60 days later. The rest? Spend wasted, deliverability burned.
Higher win-back conversion. Less wasted spend. Trait-level insight into why people leave.
Roadmap
Audiences is live today. The rest of the Signal Graph applications are next.
Analyze, generate, and activate audiences.
Identify in-market accounts and score every contact.
Reveal intent clusters and product-level propensity.
Spot returners and resellers, segment orders by trust.
Score applicants on LTV and risk, not just credit.
Risk-tier inbound applications from behavioral signals.
We'd love to hear which jobs are most acute for you right now, and how you're solving them today.
