Modern B2B growth depends on accurate, unified buyer data. Yet most organizations operate with siloed, outdated, and fragmented signals spread across systems. Identity Resolution is the foundation that ties it all together.
By automatically associating firmographic, demographic, technographic, engagement, and intent data to the correct people, accounts, and buying groups, an Identity Resolution framework creates dynamic, 360-degree buyer profiles that stay accurate in real time.
Instead of manually reconciling records, deduplicating contacts, and guessing at lead-to-account matches, revenue teams gain a trustworthy, continuously updated data layer that powers faster routing, smarter personalization, cleaner CRM hygiene, better forecasting, and true lead-to-account alignment. When identity is resolved correctly, every GTM motion becomes more precise, scalable, and revenue-driven.
Latest Articles
eBook
9 Buyer Signals Every Revenue Team Should Be Tracking
Revenue teams operate inside a signal-rich environment. Buyers research, evaluate, and compare vendors across many channels before speaking with sales. That activity leaves data behind.
Most organizations collect fragments of those signals across marketing automation, CRM, web analytics, product tools, and third-party platforms. Few teams unify them. Fewer teams activate them in real time. The result: revenue teams operate with partial visibility into active demand.
According to Gartner research, B2B buyers spend only 17% of their purchase journey meeting with suppliers. The rest occurs independently through digital research and internal discussions. Signal visibility determines whether revenue teams recognize demand early or respond too late.
This eBook outlines the nine buyer signals every revenue organization should track continuously. These signals help revenue teams identify active buying groups, prioritize accounts, and accelerate pipeline.
When unified through a modern data intelligence architecture, signals shift go-to-market from reactive execution to signal-driven engagement.
Article
How to build a real B2B TAM and avoid fake TAMs
Your total addressable market should drive execution. It should tell your team who to target, when to move, and how to route work across outbound, marketing, and RevOps.
Too many teams still build a TAM as a slide. They pull a market size estimate, add a list of named accounts, and call it done. That creates a fake TAM. It looks strategic, but it fails in execution.
A real B2B TAM works differently. It turns technographics, third-party data, account fit, and active demand into an execution-ready input for GTM teams. It helps you define reachable accounts, prioritize buying groups, and keep outbound programs aligned with market change.
If you want outbound TAM development to produce pipeline, you need a TAM built for operations, not optics.
Article
Real-time lead enrichment at form-fill: reduce response time and increase conversion with third-party data and data quality
Your form-fill process sets the pace for every inbound motion that follows.
If records enter your stack incomplete, delayed, or misrouted, response time slips fast. Sales works the wrong lead. Marketing measures the wrong outcome. RevOps spends time fixing records instead of improving flow.
Real-time lead enrichment at form-fill changes that sequence. You add third-party data the moment a buyer converts. You improve data quality before the record hits routing, scoring, and follow-up. You give sales and marketing a complete profile while intent is still active.
That matters because speed shapes outcomes. According to HubSpot, the odds of qualifying a lead rise 21x when first contact happens within five minutes instead of 30 minutes. If your intake process creates friction, you lose that window.
For MOFU teams, the goal is simple. Improve third-party data and data quality at the moment of conversion, then act on that intelligence in real time.
