System/Integrations/Integration
Bombora
Intent & enrichment
Bombora tracks buyer content consumption across a co-operative publisher network and ranks the topics gaining momentum. Revenue Labs reads those topics and attaches them to the matching account, and the signal sits alongside everything else already on file.
Website
From source record to operating state
01 | The tool on its own
Company Surge shows topics being researched.
↓
02 | With AI bolted on
Topic classification stays in Bombora.
↓
03 | A system that learns
Topics join the account story.
The tool alone > AI bolted on > AI-native
What changes when Bombora feeds a system that learns
Three jobs Bombora 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
Company Surge topics
Company Surge shows topics being researched.
Bombora maps content consumption to topics and company-level intent. A marketer still chooses the topics, checks the account match, and decides whether the signal is active.
Topic classification stays in Bombora.
Bombora uses machine learning and language models to classify content, but the result remains a Bombora intent signal without the live deal or its outcome.
Topics join the account story.
Bombora topics sit within the account's shared state, next to contact, conversation, and deal evidence.
Surge scores and buying stages
Surge scores show momentum.
Bombora compares research activity with a company's normal pattern and shows topic movement. An operator still interprets the score and chooses the response.
Buying-stage modelling stays in Bombora.
Bombora's model groups activity into intent and stage signals inside Bombora, with no view of which next action worked after the signal appeared.
Pipeline tests research momentum.
Topic movement is read against pipeline progress to show which research signals preceded movement, loss, or silence.
Alerts and audiences
Alerts and audiences route intent.
Bombora can surface surging accounts and build audiences for outreach or campaigns. The team still selects the audience, message, and destination.
Activation recommendations stay in Bombora.
Bombora's recommendation covers its topic and account signals, not the contact's conversation history or the deal's current state.
Live state chooses the capability.
Patterns from prior progress, loss, or silence guide whether the relevant capability briefs the team, prioritises the account, or executes a step.
Runs on it
Capabilities that act on connected evidence
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