3 min read
Statistical significance explained without any maths
What the number actually claims, what it doesn't, and the four sentences you need to read a result honestly without ever computing anything.
Topic
Articles on New brands
Everything we have published on New brands: guides, experiments and what we learned along the way.
10 articles
3 min read
Targeting by UTM: every campaign should land on the page it promised
You wrote a specific ad and then sent the click to a generic page. Message match is the cheapest conversion lift available to a small brand, and UTM targeting is how you get it.
3 min read
Geographic targeting: why the same test doesn't work in two countries
Shipping expectations, payment habits, price sensitivity and trust signals vary by market. Averaging across them is how you get neutral results that hide real effects.
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.
3 min read
How to prioritise hypotheses when you can only run one test a month
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
The five mistakes every brand makes in its first month of CRO
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
Your first A/B test on Shopify, in one afternoon
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
How much traffic do you need for A/B testing?
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
What to test first when your site doesn't have much traffic
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
How to build your first experimentation program as a new brand
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.
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- AI CRO agentUnderstands your visitors, decides what to test or personalize, builds it on your site and measures whether it worked.Meet the agent
- Bixlow StudioA team of strategists and agents that runs your experimentation program end to end.Meet the Studio
- Book a demoWe show you Bixlow on your own website and propose your first three experiments.Book a demo