Demandbase
Intent & enrichment
Account intent stops sitting in a separate ABM dashboard nobody checks daily. Demandbase tracks that intent alongside firmographic data, and Revenue Labs reads it into account state, so market signal shows up next to the CRM activity a rep already sees.
Website
Propensity Assessment·4 accounts surfaced today
Scoring Vantora Cloud… ›
TriggerResearch Agent signal · Vantora Cloud - 6 trigger signals in 48 hours · High ICP fit
Deploy agentDeploying Propensity Scoring agent on the account
Use skillLoading skills · Signal Interpretation · Propensity Assessment
Reference memoryReading memory · Signals · ICP · Persona
ReasoningSame signal shape as your three largest expansions, and engagement across the account is trending up while the CTO's team evaluates
ActionProspect state updates → compose alert + first-touch play → deliver to Slack before the signal cools
✓Surfaced in 6 seconds ›
Surfaces inWorkspaceviaSlackTeams
Revenue LabsAPP10:12 AM
LIVE
High propensity | Vantora Cloud
REASONING
Pricing page revisited four times in two days, two of the CTO's engineers active in the API docs; Braxton Labs, Quellworks and Osprey Digital showed this same shape before your three largest expansions.
Engagement across the account has been trending up for three weeks, meetings booked and content activity both climbing.
FIRST-TOUCH PLAY
Pain · Integration work still runs by hand; five integration-engineer roles opened since May.
Contact · Tom Vasquez · Chief Technology Officer · his team is running the evaluation.
Value · New integrations live in days, not the six-week build cycle the roadmap absorbs now - Quellworks replaced hand-built integrations and cut partner onboarding 38%.
SEND WINDOW
Thu 8:15 AM · 64% open · 16% reply on CTO-level first-touch sends
Draft EmailAsk AgentView in CRM
The tool alone > AI bolted on > AI-native
What changes when Demandbase feeds a system that learns
Three jobs Demandbase already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Intent and keyword sets
Intent tracks accounts researching topics.
Demandbase uses account lists, keywords, and activity to show which companies may be interested. A marketer still sets the keyword set, checks context, and decides whether it is relevant.
Intent scoring uses Demandbase data.
Demandbase uses AI and language processing to detect context and relative activity. The score remains a Demandbase view without the full deal or outcome trace.
Intent sits with account evidence.
Demandbase topic activity sits with CRM, conversation, and contact evidence in the account state.
Buying stages and journeys
Buying stages organise account activity.
Keyword sets, journey stages, and engagement points give teams a way to group account movement. The team still chooses thresholds and reconciles the view with sales reality.
Buying-stage mapping stays in Demandbase.
The model categorises accounts from Demandbase data, but the account categories lack the cross-tool evidence behind a deal and leave reasoning elsewhere unchanged.
Stage changes redirect the next step.
Account-stage change can move the relevant capability from research to preparation or action.
Audiences and campaigns
Audience tools activate account intent.
Demandbase can build audiences and campaigns from account intent. A marketer still selects the audience, message, and destination and checks what happened afterwards.
Audience recommendations stay in Demandbase.
Demandbase's recommendation uses its signals alone, with no learning from the campaign's pipeline outcome or view of another tool's evidence.
Selection learns from deal results.
After each deal result, the system updates which intent and audience patterns should shape the next selection.
Runs on it
Capabilities that act on connected evidence
Prospecting
Signal Intelligence
Active
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The signal is structured as it happens.
It captures evidence, source and date when the signal fires.
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The signal's confidence is stated.
Confidence reflects the signal's source and freshness.
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The signal stack becomes one commercial read.
Each signal carries implications for ICP, propensity, messaging and action.
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RevOps sees signal types as one set.
Frequency, precision, influence and commercial performance are shown together.
Humans approve signal meaning and uncertain interpretations.
Prospecting
Propensity Assessment
Active
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Three accounts just moved into in-market
New funding and hires in the roles that feel this pain
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Meridian Logistics jumps to the top of the list
Same profile as your last five closed-won deals, and hiring for the gap you fill
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A contact at Northbridge is showing real intent
Visited pricing and a comparison page twice this week
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Your ranked account list, ready for outreach
Who to call first, and the reason why
Priority accounts, ranked, before you start prospecting
Prospecting
Account Sourcing
Active
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New segments open with mapped accounts
ICP, territory, signal and suppression logic source accounts as a segment opens.
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Territory coverage stays current
Territory logic carries ownership, exclusions and history forward as they change.
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Market expansion uses proven signals
The same ICP and signal logic scores accounts in the new market.
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Winning cohorts refine targeting
Meetings, opportunities and wins show which cohorts performed before RevOps approves changes.
Connected market data keeps qualifying accounts current and cuts list-ops work.
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
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The GTM teams that learn fastest will win.
Connect your stack to a system that learns.