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Bell Statistics
Bell offers advanced analytics services by industry-experienced statisticians, specializing in: A/B Testing, Media Mix Modeling and Geo Tests.
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Back to the Future: Trends and Innovations in MMM
Back to the Future: Trends and Innovations in MMM
Here are three key trends shaping the future of MMM: the emphasis on causality, the adoption of Bayesian methods, and real-time analysis
Amit Sasson | MMM & Geo Test Lead, Bell Statistics
Jul 16
The Ultimate Guide to Choosing Your Perfect MMM Tool
The Ultimate Guide to Choosing Your Perfect MMM Tool
In this blog post, we compare three leading free MMM tools — Robyn, Meridian, and Orbit — along with the option of paid tools or…
Amit Sasson | MMM & Geo Test Lead, Bell Statistics
Jul 8
TL’DR: Bayesian A/B testing falls short
TL’DR: Bayesian A/B testing falls short
There’s a disconnect between the industry’s enthusiasm for Bayesian testing and its actual contribution, validity, and effectiveness.
Allon Korem | CEO, Bell Statistics
Jun 25
Just do it — Measuring Complex Customer Journeys
Just do it — Measuring Complex Customer Journeys
Learn through an imaginary case study of a shoe retailer how MMM & Geo Tests can help you measure the impact of your marketing efforts.
Amit Sasson | MMM & Geo Test Lead, Bell Statistics
Jun 18
How to Tackle Your Marketing Challenges with Geo Tests
How to Tackle Your Marketing Challenges with Geo Tests
Achieving precision in your campaign’s effectiveness is crucial. Learn how Geo Tests can resolve common marketing challenges.
Amit Sasson | MMM & Geo Test Lead, Bell Statistics
Jun 4
Five Common Blind Spots in Marketing Data (and How MMM & Geo Tests Can Fix Them)
Five Common Blind Spots in Marketing Data (and How MMM & Geo Tests Can Fix Them)
In today’s privacy-focused era, the different attribution models are broken. Learn how MMM & Geo Tests can help.
Amit Sasson | MMM & Geo Test Lead, Bell Statistics
May 28
Four Ways to Improve Statistical Power in A\B Testing (without increasing test duration, duh)
Four Ways to Improve Statistical Power in A\B Testing (without increasing test duration, duh)
Learn how Allocation, Effect Size, CUPED & Binarization can help you improve statistical power without prolonging test durations.
Allon Korem | CEO, Bell Statistics
May 21
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