Most lead scoring measures interest, not fit
Companies score leads on engagement (opens, clicks, page views), then wonder why the high scores don't close. Engagement shows interest. It doesn't show fit.
Companies score leads on engagement (opens, clicks, page views), then wonder why the high scores don't close. Engagement shows interest. It doesn't show fit.
AI made cold email easier to write and harder to land. Inbox providers now run AI filters that catch templated outreach. What works uses AI for research and timing, not volume.
The AI SDR market is full of bold promises, hidden prices and at least one real scandal. What works, what the categories mean, and how to tell if you need one at all.
AI lead-gen has split into dozens of tools that each solve one piece. Here's what works, what it costs, and the one thing (data accuracy) that decides whether it pays off.
These three tools get compared as rivals, but they do different jobs. For most mid-market teams the answer is a combination. Here's the breakdown by team size and budget.
The average B2B team runs 12 sales tools. The best run 6. Here's a lean stack, layer by layer, that covers a real sales motion, and the categories you can skip.
An SDR fills the pipeline. They find and qualify prospects so account executives can close. What the role is, how it differs from a BDR, what it pays, and how AI is changing the job without ending it.