Firmographic account enrichment

Explorium supplies company level data, such as size, industry, and other firmographic detail, that a go to market team uses to fill out an otherwise thin account record. A Beam agent requests that data once a new account enters the CRM, reading back the fields Explorium returns and writing them onto the record the sales or marketing team is working. Where the data is incomplete or conflicts with what is already on file, the agent leaves the record as is and flags it for someone to check rather than overwriting existing detail without review.

Contact level data matching

Alongside company data, Explorium can match contact details to the accounts a team is pursuing, which helps fill gaps in a lead record before outreach begins. A Beam agent reads a lead once it is created, requests matching contact data, and writes back whatever fields come through, following the mapping rule the team has approved for that CRM field. Matches that look weak, duplicate an existing contact, or return conflicting titles or emails are left unwritten, with the lead flagged for a person to confirm before outreach starts.

GTM signal based scoring inputs

Explorium markets itself as a data foundation for go to market success, which in practice means it feeds the signals a scoring or routing rule depends on, such as firmographic fit or account activity. A Beam agent pulls those signals into a lead or account record before the scoring rule runs, so the score reflects fresh data rather than whatever was last entered by hand. Where signals are missing or the score sits near a threshold the team has set, the agent routes the record to a rep instead of assigning it automatically.