Customer hub
GABuild, score, and activate Ideal Customer Profiles against the live graph. Customer → Discovery → ICP.
What it is
ICP Analysis lets you define an Ideal Customer Profile from industry, company-size, and buyer-role criteria, save it for reuse, and use it to discover matching buyer personas, competitor customers, prospect companies, and contacts. It brings profile definition, buyer profiling, and account and contact discovery together so revenue teams can move from a target definition to a working prospect list.
See it in the product
ICP Analysis
A live capture from the production workspace lands here once ICP Analysis ships its public preview cohort.
Top 4 capabilities
Each capability is the parent of dozens of typed features in the production taxonomy. Hover any feature in Studio to drill into the underlying nodes.
Most tools ask you to assert your ideal customer. This one builds it from the companies that have actually evaluated software in the category, joined through the reviewer's employer, industry, role and country — so the profile reflects who buys rather than who you hoped would.
The saved profile carries a versioned rule referencing taxonomy nodes, and is re-scored on a schedule against a candidate set. The run records its weights and buckets, so a change in the list can be explained rather than just noticed.
Scoring the wider company universe on industry, country and size — with a bonus where more than one agrees — and then removing existing reviewers produces net-new accounts, rather than the flattering list of your own customers that lookalike features built on CRM data tend to return.
Scoring is a weighted sum of per-dimension matches returned with their contributions, so a low score is arguable rather than opaque. A dimension with nothing behind it returns a stated reason instead of being quietly folded in at zero.
More from the Customer hub
AI-run interviews and surveys that auto-launch when a deal closes, pay the respondent for their time, and report back as win-rate lift — not response rates.
Dynamic audiences across accounts, contacts, products, and reviews · authored in plain English.
One review corpus across G2, TrustRadius, Gartner Peer Insights, Gartner Digital Markets, and Product Hunt — vectorized, so any capability can be evidenced by the reviews that actually discuss it.
Unified hub for customer research · sentiment, satisfaction, typical-user profile, source mix.
Public-data 360 profile of a customer across products used, tech stack, contacts, and signals.
30-minute walkthrough. We'll filter the workspace to your category and walk through the top capabilities live.
