Posts by Zoe Oakes
Why Should We Use Controlled Experiments for A/B Testing?
Using controlled experimentation for A/B testing on your websites and apps is a powerful way to make informed decisions, leading to improved user experiences, higher conversion rates, and overall better website performance. By adopting a test-and-learn approach to online experimentation, you can continuously refine and enhance your website or app to meet the evolving needs…
Read ArticleHow to experiment Like Booking.com
At ABsmartly, we know that the key to staying ahead as a business isn’t just about having great ideas but in validating and refining those ideas through rigorous experimentation. By embracing a data-driven methodology, businesses can uncover invaluable insights that drive and accelerate growth, enhance user experience, and foster an agile environment of continuous learning…
Read ArticleSuccessfully Navigating Experimentation with ABsmartly’s Health Check Panel
Being agile is a key part of building a business, and the difference between huge success and mediocre results often hinges on the ability to quickly understand and act on data. This is where ABsmartly’s Health Check Panel comes into play, improving the way businesses manage their experimentation efforts. With its “single pane of glass”…
Read ArticleCRO vs. A/B Testing: What’s the Difference and Why It Matters for Your Business
Conversion Rate Optimisation (CRO) and A/B testing are closely related, but they’re not the same thing at all. Both are concerned with improving performance. Both rely on data. Both can impact key metrics like conversion rates, revenue per visitor, and retention. But understanding the distinction between CRO and A/B testing is more than just a…
Read ArticleDebunking the Myths: What A/B Testing Is (and Isn’t)
Online controlled experimentation is a powerful tool that can help a business to make better decisions and drive real growth. But let’s be honest, there’s still a lot of misunderstanding about what experimentation actually is and what it can deliver. Experimentation is a rigorous process designed to test theories and understand cause-and-effect relationships. An experiment…
Read ArticleSame Test, Different Name? Clearing Up the Confusion Between A/B and Split Testing
If you’ve ever used “A/B testing” and “split testing” interchangeably, you’re not alone. Plenty of teams do — and in many cases, they mean the same thing. But depending on your tech stack, your testing goals, or your traffic routing setup, the difference between the two can start to matter more than you think. Here’s…
Read ArticleCultivating an Experimentation Culture
Our founder Jonas Alves did and interview with a PhD candidate for their thesis about experimentation platforms. This blog is an excerpt from that conversation where Jonas shares his thoughts on experimentation culture, the five pillars framework, and the impact an experimentation culture can have for consumer websites.
Read ArticleWhat data analysis capabilities does ABsmartly offer?
With ABsmartly you get powerful and in-depth data analysis. Dive deep into your experimentation data with: Our tools help you (and everyone else on your team—whatever their job title) make well-informed decisions, debug, and interpret the results.
Read ArticleHow quickly can I see reporting results from experiments on ABsmartly?
Fast! ABsmartly ensures a minimal 15-to-30 second lag from tracking to reporting. Read about why real-time data is important.
Read ArticleWhat types of statistical methods does ABsmartly offer?
ABsmartly has advanced statistical methods designed for online experimentation — especially A/B testing. Our platform supports both modern Group Sequential Testing (GST) and traditional Fixed Horizon Testing. Our powerful Group Sequential Testing Engine allows you to reliable product decisions 20% to 80% faster than with a fixed-horizon method. And it’s sometimes twice as fast as…
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