Intent data types fall into more buckets than most B2B teams realize, but the split that actually changes how a scoring model behaves is verified
Teams shopping for Demandbase alternatives are usually past the “what is ABM” stage. They already run Demandbase, or they’ve sat through the demo, and now
Comparing 6sense vs HG Insights usually starts from the wrong question. Most buyers ask which platform to pick, when the more useful question is what
Share of wallet tells you how much of a customer’s total category spend your company actually captures, and for most B2B revenue teams, that number
AI visibility monitoring is how a brand tracks whether it actually shows up when buyers ask ChatGPT, Perplexity, or Google AI Overviews a question in
Most B2B teams run an account scoring model already, but few can say with confidence which inputs in that model are actually earning their keep.
Sales ops and RevOps teams evaluating ZoomInfo alternatives are usually not asking “which tool has more contacts.” They already have contacts. What they are missing
Every account-scoring model in B2B revenue operations rests on some mix of firmographic and technographic data, yet the two get treated as interchangeable more often