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Digital journeys are rarely linear. A visitor may land on your site from an email, browse anonymously, compare products across tabs, leave, return through searc

Wandz is Wingify’s embedded AI layer, an intelligence built directly into experimentation, personalization, feature management, commerce, and customer insight w

Today’s online shoppers expect more than recognition. They expect relevance. They want experiences that reflect what they need in the moment, not just who they

Manual A/B testing is more common than the industry conversation suggests. Teams with custom stacks, limited budgets, or compliance constraints run experiments

Our CRO Perspectives series captures lessons from practitioners and industry leaders who are reshaping experimentation in real time. In this 25th post, we explo

Most A/B testing guides assume a relatively straightforward setup: But Magento (now Adobe Commerce) doesn’t work that way. Various aspects of the tool, such as

Wingify is a Digital Experience Optimization (DXO) suite that helps teams build, test, personalize, and continuously improve digital experiences across websites

The software market eCommerce A/B testing is expected to reach $12.5 billion by 2032, growing at a 16.2% CAGR. This is clear evidence that experimentation is no

You’ve picked your A/B testing tool. But can it talk to the rest of your stack? For experimentation teams, integration depth often separates a basic testing too

The way marketing teams work has changed. AI is now a regular part of the day-to-day: used to write copy, pull together research, explore new ideas, and cut dow

Choosing a GDPR-compliant experimentation platform is only one part of the equation when it comes to protecting user privacy. Compliance also depends on how tea

Every interview of CRO Perspectives is a chance to learn from the people shaping how businesses grow, not just through data and experiments, but through mindset

Teams often kickstart A/B testing programs with a handful of tests backed by a straightforward process and a shared doc. That works well enough at low volume. E

If your organization has the traffic, the data, and the budget to experiment at scale, why isn’t the program delivering? Most of the time, the answer isn’t stat

Running a handful of experiments every quarter on high-impact pages can generate measurable gains with relatively simple tooling and workflows. At that stage, e

You don’t need a team of analysts, developers, or statisticians to start A/B testing. Many businesses put it off because they think it requires tech expertise,

Most A/B tests are built around what’s easy to measure: clicks, open rates, form completions. Useful signals, but rarely the ones that move a business. Advanced

On the surface, the Amplitude-Statsig partnership looks like another consolidation headline in a crowded feature management and product analytics market. But th

Our CRO Perspectives series captures lessons from practitioners and industry leaders who are reshaping experimentation. In this 23rd installment, we sit down wi

The main difference between an open source and a commercial A/B testing tool is ownership versus convenience. Open source tools give you access to the source co

Enterprise A/B testing platforms can cost thousands a month before you’ve validated a single hypothesis. Open source tools change that equation. They make it po

Alex’s team finally got approval for their first A/B test. After months of pitching the value of experimentation, leadership was on board. Now came the hard par

Simple A/B testing can only take you so far. Split URL testing is the next step for teams testing entirely new experiences, like landing page redesigns or check

CRO is moving beyond website-level testing. Businesses are shifting toward experimentation-led decision-making, where the focus is on improving how business str