Blog
Blog
Search for a post or topic
The Danger of Not Looking Beyond Numbers in Experimentation
Numbers often serve as the foundation of decision-making in the nuanced field of data analysis and A/B testing. However, the real challenge—and opportunity—lies in interpreting these numbers correctly, particularly by understanding the reasons behind them….
Introducing Interaction Detection, Feature Flags, and More
As we step into spring, the ABsmartly team is thrilled to announce a suite of innovative features designed to enhance and optimise your business’s A/B testing experiments. This April, we’re rolling out even more groundbreaking…
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…
How 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…
Successfully 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…
CRO 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…
Debunking 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…
Same 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…
Cultivating 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.
Why Real-Time Data Isn’t Optional in A/B Testing
A/B testing is the backbone of modern product development. But the speed that we learn is now just as important as what we learn.
Get a Demo
Check out ABsmartly in Action
If you've outgrown basic experimentation tools and need to ramp things up, fill out this form. We'll contact you to schedule a product demo.