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Founders often think they have a sales activity problem. - They don’t.
Everyone is trying to use AI to create more outbound conversations.
AI workflows in practice
Founders often think they have a sales activity problem. - They don’t.
This usually shows up right after the first sales hires. Activity goes up - more leads, more demos. But downstream, nothing really improves.
Everyone is trying to use AI to create more outbound conversations.
The useful role of AI in outbound, at least in my tests, is not to have more conversations for you. It is to decide who should enter a conversation, when, and why.
Hiring sales team on commission alone sounds like a great deal for a founder. - But is it?
A higher commission increases the reward for a sale. It does nothing to fix the conditions that prevent one.
"Market signals" have become a sales trend for outbound tools. And their relevance is near zero, unless you build them yourself.
I currently use OpenAI Codex to run periodic scrapes on three signals: GTM hires, a seed to Series B raise inside the last four weeks, and website visits.
One of the most expensive mistakes in early B2B SaaS is calling a sales-system problem a sales-talent problem.
Quota failure is a system diagnostic before it is a rep diagnostic. Read it in that order and you fix the right thing.
Negotiating salaries in tech sales is difficult for one simple reason:
Benchmarks matter. But so do timing, market complexity, founder dependence, network, and revenue impact.