LinkedIn holds the most complete professional contact graph ever assembled, which makes scraping it tempting for B2B prospecting. But scraped LinkedIn data and properly sourced B2B email lists differ enormously in legality, reliability, and results. This article compares them across the dimensions that matter, so you can decide which belongs in your prospecting. The core …
B2B data pricing is notoriously opaque. Providers rarely publish rates, pricing varies by an order of magnitude depending on the model, and the same list can cost wildly different amounts depending on how you buy it. This article explains the pricing models, realistic 2026 ranges, and what actually drives the cost — so you can …
Behind every B2B contact list is a sourcing methodology — and that methodology determines the data’s quality, legality, and accuracy. Yet most data buyers never ask where the records come from. This article explains the legitimate sources of B2B contact data, the questionable ones, and how to tell the difference before you buy. The …
Every B2B data provider claims high accuracy — 90%, 95%, even 98%. But “accuracy” is one of the most slippery terms in the data industry, because providers measure it differently and rarely define what they’re counting. This article explains what accuracy claims actually mean, how to interpret them, and how to verify a provider’s …
If you’ve ever built a B2B target list, you’ve encountered SIC and NAICS codes — the two classification systems that sort businesses by industry. Choosing between them, or knowing when to use both, directly affects how precisely you can target. This article explains what each system is, how they differ, and which to use …
Marketing data falls into two broad camps — business-to-business (B2B) and business-to-consumer (B2C) — and the distinction shapes everything from how the data is sourced to which laws govern its use. Treating them interchangeably is a common and expensive mistake. This article defines B2B data, contrasts it with B2C data, and explains why the …