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Bell's Blog
Stay ahead with the latest trends, tips, and research in Advanced Analytics
What to do when data is not normally distributed
Learn why deviations from normality are often not a significant concern in A/B testing, understand the pros and cons of using the t-test in such scenarios, and explore alternative methods to the traditional t-test.
Allon Korem
Chief Executive Officer
I want it that way: Building experimentation infrastructure & culture
Learn from top expert, Ronny Kohavi, how to build infrastructure required for A/B testing, foster a culture that encourages experimentation, and ensure your teams learn valuable lessons from failures.
Allon Korem
Chief Executive Officer
Why the uplift in A/B tests often differs from real-world results
Understanding why the uplift seen in A/B tests often differs from real-world outcomes is essential. Explore key reasons behind this discrepancy and insights on how to manage expectations effectively.
Allon Korem
Chief Executive Officer
Size matters: How to plan test duration when using CUPED
CUPED is a powerful technique that not only enhances the sensitivity of your tests but also helps in resource optimization by reducing the number of subjects needed for experiments.
Allon Korem
Chief Executive Officer
Lift happens: Popular Tools for Accurate Campaign Impact Analysis
When your advertising efforts are up and sales are increasing, that’s great news, but it doesn't necessarily mean the ads are the reason. Here are three popular tools to measure the lift of a campaign.
Amit Sasson
Lead, Causal Analysis
Oops I Did It Again: Common Testing Mistakes and How to Fix Them
Ever wondered why your A/B tests aren’t delivering the results you expected? Reveal the most common A/B testing mistakes made by top companies and how you can avoid them.
Allon Korem
Chief Executive Officer
Back to the Future: Trends and Innovations in MMM
Three key trends shaping the future of MMM: the emphasis on causality, the adoption of Bayesian methods, and the push towards real-time analysis.
Amit Sasson
Lead, Causal Analysis
The Ultimate Guide to Choosing Your Perfect MMM Tool
Robyn, Meridian, Orbit, or custom-made MMM? In this blog post, we compare leading free, paid or custom MMM tools, to help you decide which best fits your needs.
Amit Sasson
Lead, Causal Analysis
TL’DR: Bayesian A/B testing falls short
Learn why Bayesian A/B testing can lead to misunderstandings, inflated false positive rates, introduce bias and complicate results rather than clarify them.
Allon Korem
Chief Executive Officer
Five Common Blind Spots in Marketing Data
In today’s privacy-focused era, the different attribution models create many blind spots for marketing analysts and decision makers. However MMM & Geo Tests can help.
Amit Sasson
Lead, Causal Analysis
Measuring the true effect of your ads with Geo Testing
Figuring out an ad's real effect is tricky. Clicks don't tell the whole story and attribution models fall short. The Solution: Geo Testing.
Amit Sasson
Lead, Causal Analysis
How Marketing Mixed Modeling Can Improve Your ROI
How to plan your marketing spend while measuring the true effect of any marketing activity on your bottom line? The answer lies in Marketing Mix Modeling (MMM).
Amit Sasson
Lead, Causal Analysis
How to Tackle Your Marketing Challenges with Geo Tests
Traditional methods often fall short in measuring the true impact of marketing strategies. Here's how Geo Tests can resolve common marketing challenges.
Amit Sasson
Lead, Causal Analysis
Four Ways to Improve Statistical Power in A/B Testing (without increasing test duration, duh)
In A/B testing, you often have to balance statistical power and how long the test takes. Learn how Allocation, Effect Size, CUPED & Binarization can help you.
Allon Korem
Chief Executive Officer
Just do it — Measuring Complex Customer Journeys
Measuring complex user journeys is nearly an impossible task without the proper tools. Learn how MMM & Geo Tests can help advertisers measure the impact of their cross-marketing efforts.
Amit Sasson
Lead, Causal Analysis