System/Integrations/Integration
HG Insights
Intent & enrichment
HG Insights tracks the technology a company has installed and its estimated IT spend by category. Revenue Labs reads that technographic data into account state, so a rep can see what a buyer already runs on the account before a first call happens.
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From source record to operating state
01 | The tool on its own
Technographics show installed technology.
↓
02 | With AI bolted on
Technology classification stays in HG.
↓
03 | A system that learns
Technology context joins the account.
The tool alone > AI bolted on > AI-native
What changes when HG Insights feeds a system that learns
Three jobs HG Insights 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
Technographics and installs
Technographics show installed technology.
HG Insights maps installed products and technology use to companies and locations. An analyst still checks whether the stack matters to the account and the deal.
Technology classification stays in HG.
HG applies data science and machine learning to classify technology signals. The result stays in HG and does not include the buyer conversation or deal history.
Technology context joins the account.
Matched technology signals join the company's other evidence, giving each capability a fuller view of the account.
IT spend and contracts
Spend and contracts add buying context.
HG Insights provides IT spend estimates and contract information by company and category. Analysts still interpret timing, relevance, and whether the account is in a live buying motion.
Contextual Intent combines the signals.
HG combines technographic, firmographic, and intent data into a contextual view. The score stays in HG, with the action taken after it appeared left outside.
Signals gain the surrounding evidence.
Spend, technology, and intent can be read with contacts, conversations, and deals before a capability chooses what matters.
Contextual intent
Contextual intent highlights research.
HG connects web activity and topic signals to the technology profile of a company. A rep still chooses the accounts to inspect and decides what the signal means.
Relevance scoring stays in HG.
HG's scoring model ranks activity from its sources. It cannot see what happened after outreach or learn from the closed deal outside that data.
Technology weight follows outcomes.
Technology context is learned from its association with progress, loss, or silence, then carries that weight into the next account review.
Runs on it
Capabilities that act on connected evidence
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