UserGemsUserGems Signals

The capability emphasised in official materials and independent reviews is contact-level resolution: job moves, research activity, and engagement are attributed to specific people rather than only to company accounts. Reviewers contrast this with intent tools that report interest at the account level.

UserGems also positions its scoring as transparent and editable, allowing administrators to adjust the weights across its fit criteria and preview the effect. Signals consolidate external intent from third-party providers alongside first-party records, so teams can prioritise accounts without replacing existing data investments.

Signals developed from UserGems' original job-change tracking into a broader buying-signal platform. The company introduced an expanded Signal Platform in 2024, extending contact and company change monitoring into a multi-category signal library with pre-built and custom workflows and assisted research and outreach.

The product's recorded origin year of 2024 corresponds to that expansion. It has since been positioned as the data layer beneath UserGems' scoring and orchestration modules, which turn the resulting signals into ranked accounts and automated go-to-market actions.

UserGems Signals is sold as part of UserGems' annual subscriptions rather than as a standalone product. Published plans are differentiated by data volume and addressable-account coverage rather than by gating individual features, with the tiers carrying the same signal, scoring, and campaign capabilities.

The model adds one-time implementation fees and optional retroactive job-change backfill, and the higher tiers are marketed alongside a tiered closed-won revenue guarantee. Pricing is presented as an enterprise annual commitment aligned to the size of the addressable account base a customer targets.

UserGems Signals is the buying-signal and account-prioritisation component of the UserGems platform for business-to-business revenue teams. It aggregates contact-level and account-level events, including role changes, website research activity, competitor interest, funding, hiring, product usage, and customer-supplied engagement records, into one signal library.

Each signal is scored against the customer's ideal-customer profile and its own historical deal outcomes, and the highest-ranked accounts and people are surfaced as sales priorities. Those rankings trigger automated tasks, relationship-management updates, advertising-audience sync, and outreach sequences inside the sales and marketing systems a team already uses.