# Marketing

Both marketing and sales are directly responsible for generating revenue. This unique position gives the two functions significantly more power to direct investment into new projects. The need to keep up with competitors in fighting for market share means that both units are, on average, much more willing to try new tools as well, including the latest technology advances based … [Read more about Beyond Conventional Tactics: How AI is Redefining Marketing and Sales](/content/ai-redefining-marketing-and-sales/index.html)

If you’ve read my previous post, you already know why I think you should move to Bayesian A/B testing. In this post, I give a short overview over the statistical models behind Bayesian A/B tests, and present the ways we implemented them at Wix.com — where we deal with a massive scale of A/B tests.

I wrote some practical examples in Python along this post. You can easily … [Read more about How To Do Bayesian A/B Testing At Scale](/content/bayesian-ab-testing-at-scale/index.html)

What is A/B Testing?

Almost everyone hated learning statistics (well, maybe except some statisticians). With all those distributions and critical values that we needed to memorize, we just ended up with a headache. You might have swore not to ever touch the subject again; that is, until you had to analyze an A/B test.

A/B testing is the “fun” name … [Read more about Why You Should Switch To Bayesian A/B Testing](/content/switch-to-bayesian-ab-testing/index.html)

It’s an exciting time to be working on recommender systems. Not only are they more relevant than ever before, with Facebook recently investing in a 12 trillion parameter model and Amazon estimating that 35% of their purchases come from recommendations, but there is a wealth of powerful, cutting edge techniques with code available for anyone to try.

So the … [Read more about How Can You Tell If Your Recommender System Is Any Good?](/content/recommender-systems-offline-evaluation/index.html)

Every day you are being influenced by machine learning and AI recommendation algorithms. What you consume on social media through Facebook, Twitter, Instagram, the personalization you experience when you search, listen, or watch Google, Spotify, YouTube, what you discover using Airbnb and UberEATS, all of these products are powered by machine learning and AI recommender … [Read more about Improving Diversity Through Recommendation Systems In Machine Learning and AI](/content/diversity-through-recommendation-systems/index.html)

Recently, I stumbled upon a white paper, which talked about the latest in AI applications in Marketing Analytics. It specifically talked about the application of XAI (Explainable AI) in marketing mix modelling [white paper]. This caught my attention and I started exploring more about three things: XAI, the current state of marketing analytics, and XAI’s potential applications … [Read more about Explainable AI: Application of Shapely Values in Marketing Analytics](/content/explainable-ai-marketing-analytics/index.html)