AI on the revenue team: how sales and marketing orgs use it to find, win, and keep customers.
8 articles · Updated
Companies score leads on engagement, opens, clicks, page views, then wonder why the high scores don't close. Engagement measures interest, not fit, and the two are not the same thing.
AI made cold email easier to write and harder to land. Inbox providers now run AI filters that catch templated outreach, so the winning playbook uses AI for research and timing, not volume. The honest version.
The autonomous AI SDR market is full of bold promises, hidden pricing, and at least one genuine scandal. Here's what actually works, what the categories really mean, and how to tell whether you need one at all.
The AI lead-gen market has fractured into dozens of tools that each solve one piece of the puzzle. Here's what works, what it costs, and the one variable (data accuracy) that decides whether it pays off.
These three tools get compared as rivals, but they solve adjacent problems, and for most mid-market teams the right answer is a combination, not a winner. Here's the honest breakdown by team size and budget.
The average B2B team runs 12 sales tools. The best run 6. Here's the lean, layer-by-layer stack that covers a real go-to-market 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 why AI is reshaping the job without eliminating it.
Conversation intelligence records, transcribes, and analyzes your sales calls to show what works. What it actually does, how Gong and Chorus compare, and the affordable tier enterprise vendors don't mention.
A weekly read on what changed in AI. Written by people, checked twice.
Free. Unsubscribe in one click.