ICP criteria applied to every account you own or could own, fit scored with reasons, segments cut by industry, size, stack, signal and stage, and each one delivered as a list, a chart and a report the team can act on. The infrastructure under segmentation, run by autonomous AI agents.
Firmographics, technographics, funding, hiring, intent, geography and CRM stage, on every row before a filter runs.
Fit against the ICP with the reasons listed, so a segment boundary is an argument you can read.
Cut the same enriched list as many ways as the team needs; each segment is its own refreshable list.
Scoring, filtering, charts and reports are free; only the enrichment that fills the fields bills.
The CRM says "Mid-Market" because a rep picked it from a dropdown in 2022. Headcount is blank on a third of accounts, industry is free text, and every segmentation exercise starts by cleaning the fields it depends on.
Everyone agrees on the ideal customer in the kickoff and nobody can apply it to a list. Turning "B2B SaaS, 50 to 500 people, runs a modern CRM, hiring in ops" into a filter needs data the filter tool does not have.
The analysis that produced the tiers was a spreadsheet exported on a Tuesday. Accounts moved, raised and hired since, and the tiers did not.
Industries, size bands, geographies, technologies, funding stages, hiring patterns and intent topics held as a profile the agents apply, with weights you can adjust and a plain-language override for one-off cuts.
Firmographics, technographics, funding, hiring and intent filled through a waterfall of licensed sources, so a segment on headcount or stack is cut on complete fields with a source on each.
Each account scored against the profile with the reasons listed: the criteria it meets, the ones it misses and the signal that moved it. Tiers are cut on the score, and the boundary is inspectable.
Each segment saved as a refreshable list, charted by size, industry, stack or signal, and summarized in a written report delivered to Slack, a sheet or the CRM as a property.
A CRM export, a saved list, a CSV or a discovery mission that builds the universe first. Suppression applies before anything is scored.
Every account filled with the fields the ICP needs: size, industry, geography, stack, funding, hiring and intent, with a source on each value.
Fit against the workspace ICP or a one-off profile, with reasons per row and adjustable weights.
Tiers and segments by score, industry, size band, stack, signal or CRM stage, each saved as its own list with a name and an owner.
Distribution charts and a written summary: what each segment looks like, how many accounts, which signals cluster there and what to do first.
Segment membership written to the CRM as a property after approval, the report posted to Slack, and the whole cut re-run on a schedule.
Every account in the CRM enriched and scored against the ICP, cut into three tiers with reasons, membership written back as a property so routing, SLAs and sequences key off it.
A target universe segmented by region, size band and stack, charted so territories balance on scored accounts instead of raw counts, exported per rep as a list.
Accounts grouped by the CRM, data warehouse or marketing platform they run, so each segment gets messaging and playbooks that match its integrations.
Closed-won and closed-lost enriched and compared: which industries, sizes, stacks and signals cluster in wins, charted, and the ICP updated with what the data shows.
| By hand | With AstroFabric | |
|---|---|---|
| Fields | Dropdowns and free text from years ago | Enriched through a waterfall, sourced and dated |
| ICP | A slide everyone agrees with | Executable criteria the agents apply to any list |
| Scoring | A formula in a spreadsheet | Fit with reasons on every row, weights you set |
| Segments | A one-off export | Named lists that refresh on a schedule |
| Reporting | Charts built by hand each quarter | Charts and a written report on every run |
| Delivery | Emailed spreadsheet | CRM property after approval, report in Slack |
Every account enriched, scored against the ICP with reasons and cut into tiers, membership staged as a CRM property with the distribution charted.
Closed-won and closed-lost enriched and compared by industry, size, stack and signal, charted, with a written recommendation for the ICP.
A target list grouped by the platforms each company runs, one list per segment, counts and names reported to Slack for messaging and playbook design.
Three of a hundred. The full playbook library ships in every workspace, and anything you can describe becomes a mission.
Fit scores, filters, charts and reports never bill credits, and every score lists the criteria behind it so a segment boundary can be challenged.
Writing a tier or segment onto CRM records is staged as a batch that shows every account and the value it would receive before a person approves.
Customers, competitors and the workspace suppression list are separated before a universe is scored, so segments describe opportunity accurately.
Every enrichment field comes from licensed providers with its source recorded. The agents never scrape member networks.
The layer that makes segments possible on real data: every account enriched with the fields the ICP needs, scored for fit with reasons, cut into named segments that live as refreshable lists, charted and reported, and written to the CRM as a property after approval. Autonomous agents run each step.
Onboarding drafts a profile from your website and you confirm or edit it in Settings: industries, size bands, geographies, technologies, funding stages, hiring patterns and intent topics, each with a weight. A mission can override any field in plain language for a one-off cut.
Any enriched field or signal: industry and sub-industry, headcount band and growth, revenue range, region, funding stage and recency, technologies and categories, open roles by function, intent topics, CRM stage, customer status and the fit score itself. Segments combine criteria freely.
Yes. Each segment is a list with its criteria attached, so a scheduled run re-enriches the universe, re-scores it and moves accounts between segments, reporting what changed. The CRM property updates after the batch is approved, and every run posts what moved to Slack.
Segment sizes and medians, distribution charts by industry, size, stack and signal, the accounts that moved since the last run, the signals that cluster in each segment and a short recommendation on where to start. It posts to Slack, a doc or a sheet.
Yes. Connect HubSpot, Pipedrive, Attio or Zoho CRM, choose the objects and filters, and the agents enrich, score and segment the records, then stage the tier or segment as a property for approval. Nothing is written until a person approves the batch.
Scoring, filtering, charts and reports are free. The only billable step is enrichment, a few credits per company row, shown before the run and skipped for rows already complete. Every rate is shown in the console before the work runs, and plans start at $49 per month.
Point it at the CRM or a list. Enriched, scored segments come back as lists, charts and a report, and they refresh themselves.