4 min read
The minimum CRO team: one person and a platform that does the rest
Traditional CRO needs an analyst, a designer, a developer and a statistician. Here's which of those four jobs actually has to be human at a small brand.
Practical guides on experimentation, personalization, statistics and AI agents, written by the team that builds Bixlow and runs CRO programs every week.
4 min read
Traditional CRO needs an analyst, a designer, a developer and a statistician. Here's which of those four jobs actually has to be human at a small brand.
3 min read
ICE and PIE were designed for teams running twenty tests a quarter. When you get twelve a year, the scoring model has to change.
3 min read
Stopping early, testing everything at once, no guardrail, changing the test mid-flight and treating a win as a fact. All five are avoidable.
4 min read
No theme edits, no app that slows your storefront, no developer. From hypothesis to live experiment on a real product page, step by step.
4 min read
The honest answer has three inputs and no marketing spin. Here's how to calculate it for your own site, and what to do when the number comes back too big.
4 min read
Low traffic doesn't mean you can't experiment. It means you can only detect large effects — so you have to test the things capable of producing them.
5 min read
You don't need a CRO team, a data warehouse or a statistician. You need a hypothesis, a segment and a way to measure. Here's the whole thing, from zero.
2 min read
One winning experiment can cover your tool's annual cost and then some. Here's how to calculate the real ROI of experimentation for your business.
2 min read
Leadership doesn't fund features, they fund returns and reduced risk. Here's how to build a business case for experimentation that gets approved.
2 min read
You shouldn't have to choose between speed without control and control without speed. See how Bixlow gives engineering governance and the business the freedom to ship.