Zero to €1M Pipeline: A Real Partner-Led GTM
How I took a partner-led go-to-market from zero to €1M in pipeline, 5 opportunities and 15 proposals in six months: the concrete moves behind the results.
Field notes on experimentation, go-to-market, and AI applied to marketing.
How I took a partner-led go-to-market from zero to €1M in pipeline, 5 opportunities and 15 proposals in six months: the concrete moves behind the results.
How to build a go-to-market strategy that generates real pipeline: motion, partner enablement and lead generation. The method behind Optimizely's €1M.
How to tell whether an A/B test really won: statistical significance, sample size, and the peeking that declares nonexistent winners.
The anatomy of the experimentation program behind the +57% conversion lift on Whirlpool EMEA: how it started, what we tested and what worked.
How to write an A/B test hypothesis that gets results: from behavioural basis to expected metric, the format I use so I don't waste traffic.
A complete guide to CRO and experimentation: from hypothesis to A/B test, prioritisation and significance. The method behind Whirlpool EMEA's +57%.
How to build an AI business case the board approves: tie the investment to credible KPIs and a measurable return, not to technology promises.
Which KPIs to track to tell whether an AI project works in production, how to instrument them, and how to tie them to the business case that got it approved.
Most AI projects die in the pilot. What it really takes to move from PoC to production, with the lessons learned on real enterprise cases.
How to run an enterprise AI program from roadmap to delivery: governance, KPIs, and PoC to production. The complete guide, based on real programs.