Know the account.
Move before they do
Identify high-value accounts with enriched intent and engagement signals, understand how they behave across every channel, and turn it into research, recommendations, and automated action — before the account starts talking to a competitor.
- Intent & account research
- Buying-stage signals
- Audience activation
- Identity resolution
- CRM / MAP / Sales
- Conversation & chat
- GTM engagement
- Product signals
- Upsell / expansion
- Better prioritization
- Signal-driven retargeting
- Closed-loop activation
ABM intelligence is the practice of treating accounts, not leads, as the unit of work: knowing which companies are actually in market, what is happening inside them, and who on the buying committee is engaged, instead of chasing individual form fills. RevSure runs this continuously on its context layer, resolving anonymous traffic to named accounts, scoring and predicting buying stage in real time, and writing every signal back so the account picture your team acts on never goes stale between campaigns.
You just can't see them
Intent lives in five different tools, most of the buying committee never fills out a form, and by the time an alert reaches a rep the account is already deep in someone else's cycle. Four fights RevSure retires.
Signals arrive scattered
Intent data sits in one platform, web activity in another, meetings in a third. Nobody ever sees the whole account at once.
The buying group stays anonymous
Most stakeholders never fill out a form. You've paid for the traffic and still don't know who actually showed up.
Every list disagrees
Marketing's ICP list, sales' target list, and the CRM's territory list are quietly three different sets of accounts.
Alerts nobody acts on
Signals get logged, dashboards get built, and the account moves on before anyone in the field ever sees them.
Every signal, one unified account
| Account | Signal | When |
|---|---|---|
| Anthropic | Job change · new VP Marketing | 2m ago |
| Cursor | Pricing page · exec visit | 14m ago |
| Ramp | Meeting · objection: budget | 41m ago |
| Vercel | Webinar · 2 contacts | 1h ago |
| Brex | Upsell · module interest | 2h ago |
RevSure captures de-anonymization, meeting intelligence, job changes, upsell signals, and real-time web monitoring, then enriches every account with firmographic and technographic data — continuously, not on a quarterly refresh.
- Person, account, firmographic, and technographic enrichment from multiple sources
- Unified first- and third-party intent, normalized and deduped
- Explainable "why now" insights, not a black-box score
- Job changes, meetings, and web signals written back to CRM automatically
Anonymous traffic becomes named accounts
| Account | Signal | Stage |
|---|---|---|
| OpenAI | Comparison page · 4 visits | Consideration |
| Anthropic | Webinar attended | Awareness |
| Cursor | Pricing visit by exec | Intent |
RevSure identifies anonymous website traffic at the account and person level, integrates with leading identity providers, and flags high-intent behavior like pricing-page visits before a single form is filled out.
- Deterministic resolution: visitor → person → account
- Behavioral signals: page visits, content engagement, repeat sessions
- High-intent accounts flagged before form fills
- Pushed straight to CRM, with Slack alerts and workflow triggers
Know who's ready before your reps do
| Signal | Status |
|---|---|
| Funnel velocity | Accelerating |
| Stage tenure | 6 days |
| Buying stage | Evaluation |
| Committee coverage | 3 of 5 |
RevSure continuously predicts each account's buying stage and calculates Fit Pipeline and Fit Booking propensity, combining engagement, intent, firmographic, and behavioral signals into one ranked list.
- Awareness → Research → Consideration → Evaluation → Decision, tracked week over week
- Fit Pipeline and Fit Booking propensity as a percentage and a High / Medium / Low bucket
- Signals ranked by impact, with low-value noise automatically removed
- Stalled and regressing accounts flagged before they go cold
The full signal surface, always on
Beyond the modules above, RevSure continuously monitors every account across these signal types — converting external events into structured, ranked signals for scoring and action.
Account web signals
Job changes, hiring activity, company news, LinkedIn engagement, website activity, and intent shifts, enriching scores with current market activity.
Job change signals
Monitors promotions, job changes, and company transitions in real time. Flags when champions leave or join an account, writing updates back to CRM.
Buying stage prediction
Continuously predicts Awareness through Decision using engagement and pipeline signals, tracking movement week over week.
Account GTM signals
Turns engagement, fit, intent, and funnel activity into impact-ranked signals per account, with low-value noise automatically removed.
Meeting signals
Analyzes meetings across connected recording tools for sentiment, intent, pain points, objections, and buying-group coverage.
Upsell & expansion signals
Detects product expansion, seat expansion, and cross-department growth interest, then alerts account owners and CS in CRM or Slack.
Buyer group engagement
Measures multi-contact activity across the buying group to show which stakeholders are active and where coverage gaps remain.
Account journey mapping
Tracks engagement across website, campaigns, product, and sales touchpoints to identify what's driving pipeline and where accounts stall.
Unified signal ingestion
Harmonizes CRM, marketing automation, intent platforms, behavioral data, and ad-platform signals, aligned to buyer journey stages.
Research, playbooks, prospecting, alerts
| Agent | Job | Status |
|---|---|---|
| Account Research | Brief + next steps | Shipped |
| Account Playbooks | Match + action plan | Shipped |
| Account Prospecting | Committee map | Approving |
| Account Alerts | Route + notify | Shipped |
Each agent owns one job and acts on the same account context — proposed, approved, reversible. From research briefs to playbook matching to always-on alerts, the motion fires together the moment an account is in-market.
- Account Research: stakeholders, strategy, and recommended next steps
- Account Playbooks: match firmographics and signals to a specific action plan
- Account Prospecting: prioritized contact maps from CRM + enriched ICP matches
- Account Alerts: why an account is heating up, with journey context and routing
for ABM Intelligence
Signal, not noise
Impact-ranked signals with low-value noise automatically removed — not a firehose of alerts nobody reads.
Acts, doesn't just alert
Recommendations ship as agent-driven action — playbooks, outreach, CRM writebacks — not a report someone has to interpret.
One account, everyone trusts
Marketing and sales read the same account context, so prioritization stops being a debate between two lists.
Related capabilities
The Context Layer
The identity-resolved spine every ABM signal lands on.
ExplorePredictions & Signals
Fit, intent, and buying-stage scores written back and exposed via MCP.
ExploreGTM Agents
The managed roster that turns account heat into action.
ExploreData Enrichment
Firmographics, technographics, and contacts on every record.
ExploreQuestions, answered
What is RevSure ABM Intelligence?
RevSure ABM Intelligence is a signal-to-action system for account-based marketing. It identifies high-value accounts using enriched intent and engagement signals, understands their behavior across the buyer journey, unifies that intelligence into a single account context, and turns it into research, recommendations, and automated GTM action.
How does RevSure identify anonymous website visitors?
RevSure de-anonymizes website traffic at the account and person level, capturing behavioral signals such as page visits, content engagement, and repeat sessions. It integrates with leading identity and enrichment providers, then uses AI to flag high-intent behavior like pricing-page visits before a form is ever filled out.
How does RevSure predict an account's buying stage?
RevSure continuously predicts each account's buying stage — Awareness, Research, Consideration, Evaluation, or Decision — using engagement signals and pipeline signals, tracking week over week whether an account is advancing, stalling, or moving backward.
What signals does RevSure ABM Intelligence combine?
RevSure unifies signals from CRM systems, marketing automation platforms, intent data providers, behavioral and product-usage data, ad platforms, meeting intelligence, job-change monitoring, and real-time web monitoring — normalized and aligned to buyer journey stages inside one context layer.
How does RevSure score leads and accounts?
RevSure uses machine learning models to calculate Fit Pipeline Propensity and Fit Booking Propensity as percentages and High/Medium/Low buckets, combining engagement, intent, firmographic, and behavioral signals to predict which leads and accounts are most likely to enter pipeline or close.
What happens after RevSure surfaces an account signal?
RevSure converts signals into execution-ready audiences and automated actions: syncing to CRM, marketing automation, ad platforms, and sales-engagement tools, triggering alerts and lead routing, and running RevSure Agents for account research, playbooks, prospecting, and always-on alerts.
Know before they raise a hand
Implementation included — RevSure maps your CRM, intent, and ad data into one account context in the first sprint.