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Technographic Data Accuracy Benchmarks: What Our Validation Process Reveals

HG Insights graphic titled “Is Your Technographic Data Still True?” with a bar chart of technographic match rates by region: United States 70 to 90 percent, Western Europe 65 to 85 percent, Asia-Pacific 30 to 40 percent. It also shows a 22.5 percent estimated annual decay rate of B2B data.

Technographic data accuracy is impossible to judge from a spec sheet. Every vendor claims broad coverage and high match rates, but coverage numbers say nothing about whether an install record reflects what a company is running today or what it ran fourteen months ago. Buyers evaluating a technographic or enrichment vendor need to see the […]

When Everyone Has AI, Where Does Competitive Advantage Come From?

On October 6, we launched our Contextual Intelligence Platform. Here is why I think this launch matters to you. Every customer I speak with is investing in AI to improve GTM productivity and ultimately exceed their revenue growth plans. The speed of adoption is astonishing. Teams are using AI to research accounts, score opportunities, build […]

AI Agent Infrastructure: The Data Foundation Every GTM Agent Needs

HG Insights graphic: 64% of U.S. companies with 500+ employees have LOW data maturity and 0.2% have HIGH, meaning only 1 in 400 has a data foundation ready for reliable AI agents.

AI agent infrastructure covers orchestration, model and runtime access, tool permissions, security, and observability, but none of that matters if the data foundation underneath is broken. Sales and RevOps teams are moving fast to deploy agents for account research, outbound personalization, and pipeline prioritization, but most of that effort assumes the data underneath is already […]

Apollo.io and Clay Alternatives for GTM Data Enrichment

GTM teams comparing Clay alternatives and Apollo.io alternatives usually aren’t asking whether they need better data. They already know their CRM records are thin, their lead scores don’t hold up under scrutiny, and reps spend too much time guessing. This is written for RevOps and Sales Ops leaders in the growth segment who are past […]

Cognism and Clearbit Alternatives for B2B Data Enrichment in 2026

Teams researching Cognism alternatives rarely stop at Cognism. The same evaluation usually widens to Clearbit too, since both sell a version of the same basic thing: verified contact and company data layered onto a CRM. Once a GTM team starts comparing point solutions, the real question stops being “which vendor has the best data” and […]

How to Trust Your Market Data When Three Different Systems Built the Number

Learning how to trust your market data starts with admitting most go-to-market teams cannot fully explain where their market number came from, and that is not a research failure so much as a design failure. It shows up the moment a strategy leader, a data leader, or a RevOps leader tries to answer a simple […]

Glass-Box Scoring: The Case Against Black-Box AI in Lead Qualification

Static, assumption-based lead scoring is quietly leaking pipeline, and the instinct to fix it with black-box AI lead scoring only trades one kind of distrust for another. Growing company’s marketing teams are right to want a smarter model. Where the upgrade goes wrong is treating “smarter” and “trustworthy” as the same requirement. A model nobody […]

The Fragmentation Tax: What Your Sales Stack Is Actually Costing You

Image that breaks down how much of every rep's selling week is wasted because of data fragmentation

Your reps have never had more tools. A CRM to run the deal, a fit tool to size the account, an intent tool to time the outreach, an enrichment tool to fill in the gaps, maybe a competitive intelligence source on top of all of it. Each one has an opinion about which account matters […]