Data Trust and Scoring
Know which records to trust and which accounts deserve attention. Give your team a stronger basis for its next move.
In short
What is Data Trust and Scoring?
RevTech Data Trust and Scoring is Coming Soon. It will extend the shared customer record with identity resolution, enrichment, research, data stewardship, and explainable account scoring.
The outcome
Better decisions start before the first draft.
Help people and agents work from reliable context. Use identity, source freshness, and clear scoring reasons to decide where to focus.
How it will work
Resolve identity and duplicates with clear source authority. Preview changes in a dry run and retain a documented recovery path, so teams can improve the records without losing control of the relationship. Use enrichment waterfalls and research to fill gaps deliberately. Show freshness and source context so the team can judge which information is useful for the next conversation. Prioritize accounts using scoring with explanatory factors. Evaluate against held-out outcomes and watch for drift so sellers have a basis for attention they can inspect and discuss. Bring data-quality review and synchronization monitoring into ongoing stewardship. Make exceptions visible so the team can resolve them deliberately. Review the CRM issues that affect your motion, agree the changes, and see the outcome and remaining exceptions. Planned product workflows will support the hands-on cleanup service. Extend the foundation and review experience to Salesforce, with support shaped around its records and permissions. Salesforce support is Coming Soon; the initial service focuses on HubSpot.
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Frequently asked questions
See how the work gets done.
Explore how agents prepare work across your revenue teams, and how people review it, guide it and decide what happens next. Fictional data. Real product.
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