
Founder @syftdata. Daily notes on GTM data, inbound and AI for B2B marketers and sales leaders. All puns intended.
Joined March 2007
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I run @syftdata and write about B2B go-to-market. Three things I post about:
1/ Buying behavior: how buyers actually research and decide (hint: before they talk to you)
2/ GTM data: what to measure, what to ignore
3/ Inbound and founder-led marketing, with the AI tools I actually use
If you work in marketing, sales or RevOps, follow along. I'll keep it useful and occasionally funny.
300 B2B teams told @poyark and @majavoje which buying signals they actually act on:
📣 Content engagement: 52%
🌐 Website visits: 42%
🛠️ Product usage: 40%
🔄 Champion job changes: 28%
👔 Leadership changes: 24%
🧩 Tech stack changes: 14%
Teams act on what's easy to see, but that's not always what predicts a deal.
Which one is your team ignoring?
(results from stateofb2bgtm.com)
Most SaaS should look at open source dev tools companies for GTM
1/ buyers think 'I could build it in a weekend'
2/ extremely easy to get started via a free offering but very difficult to self-maintain infra
3/ word of mouth and community a big part of growth (devs are very hard to market to)
Can you believe that a third of decisions are made with vibes?
What B2B marketing leaders based their last major decision on:
4% Analysts or desk research
9% Direct research with target buyers
13% Customer and sales feedback
21% Unclear from their answer
21% Internal performance data
32% Leadership or gut call 🌈
From @wynter_com



