GA4 provides valuable insights into user interactions on your website. Learn how to analyze key metrics like sessions, session duration, and events to refine your digital strategy.
Goodhart's Law is useless. It tells you about a phenomenon, but it doesn't tell you how to solve it. We look at how organisations actually prevent Goodhart's Law, and illustrate this with Amazon's Weekly Business Review as an example.
How to build upon a previous experiment, without throwing it all away.
Hey guys, welcome back to my R-tips newsletter. Supply chain management is essential in making sure that your company’s business runs smoothly. One of the key elements is managing inventory efficiently. Today, I’m going to show you how to estimate inve...
“If you want to change the game, change the frame.” The game has certainly changed with the data era, and maybe the most drastic change driven by data has occurred in economics, the foundation upon which our modern society is built and sustained. Understanding and mastering the…
Learn which variables you should and should not take into account in your model.
In this article, I'll take you through the task of Customer Satisfaction Analysis with Python. Customer Satisfaction Analysis with Python.
A/B testing is a cornerstone of data science, essential for making informed business decisions and optimizing customer revenue. Here, we delve into six widely used statistical methods in A/B testing, explaining their purposes and appropriate contexts. 1. Z-Test (Standard Score…
The authoritative guide on how Amazon does WBRs (from former exec Colin Bryar): how it works, how to do it, and how Amazon uses it to win.
Create your first run chart and start interpreting your data using just four rules. Your go-to QI resource.
Analytics, management, and business intelligence (BI) procedures, such as data cleansing, transformation, and decision-making, rely on data profiling. Content and quality reviews are becoming more important as data sets grow in size and variety of sources. In addition…
Visual, interactive sample size calculator ideal for planning online experiments and A/B tests.
Continuous Improvement sounds simple, even obvious. And yet there's a profound secret at its heart that doesn't seem to get talked about.
Window functions are an advanced feature of SQL that provides powerful tools for detailed data analysis and manipulation without grouping data into single output rows, which is common in aggregate functions.
More than half of the NCAA Tournament's top teams have used HD Intelligence services, as basketball's data revolution sweeps through the college game.
In the world of LLMs, there is a phenomenon known as "hallucinations." These hallucinations are...
Goodhart's law is an adage often stated as, "When a measure becomes a target, it ceases to be a good measure".[1] It is named after British economist Charles Goodhart, who is credited with expressing the core idea of the adage in a 1975 article on monetary policy in the…
At most small and medium-sized e-commerce retailers, prices are typically set and updated in an ad hoc fashion without one clear owner. The process often starts by using a gross margin target, followed by some comparison with competitors, and then some adjustments from there…
Knowing the URLs in search engine result pages leads to further analysis, such as referring domains, page authority, word count, and more.
Evaluating ad targeting product using causal inference: propensity score matching!
In this article, I'll take you through the task of Market Basket Analysis using Python. Market Basket Analysis using Python.
Two principles on collecting data, from the field of Statistical Process Control. As with most principles in SPC, this is both simpler and more important than you might think.
Since starting PostHog in 2020, we’ve learned a bunch about what does and doesn’t work when it comes to marketing to engineers . Paid ads is a…
Using data provided by Vivid Seats and Instagram, I learned that social media clout isn't all it's cracked up to be.
An obsessively detailed guide to Customer Lifetime Value techniques and real-world applications
These tools can help you analyze PPC competitors, track search trends or design ad creative – all without spending a dime.
Understanding the purpose and functionality of common metrics in ML packages
For non-tech industry folks, an “A/B test” is just a randomized controlled trial where you split users or other things into treatment and control groups, and then later compare key metr…
8 stories · A guide to building an end-to-end marketing mix optimization solution for your organization.
A spreadsheet on ad platform Xandr’s website revealed a massive collection of “audience segments” used to target consumers based on highly specific, sometimes intimate information and inferences
Applying causal machine learning to trim the campaign target audience
How to compare and pick the best uplift model
Looking for the best alternative to Google Analytics 4? Here are 15 web analytics platforms you may want to consider.
Running experiments is equal parts powerful and terrifying. Powerful because you can validate changes that will transform your product for the better…
An in-depth explanation of “Thompson Sampling”, a more efficient alternative to A/B testing for online learning
An in-depth look at seven tools used by enterprises for content optimization, technical SEO, and reporting and analytics.
This article will take you through everything about Cohort Analysis that you should know. What is Cohort Analysis in Data Science?
In this article, I will walk you through the task of Retail Price Optimization with Machine Learning using Python. Retail Price Optimization.
In this article, I will take you through the task of Supply Chain Analysis using Python. Supply Chain Analysis using Python.
From Villa's weirdly disconnected midfield to Forest playing passes near their corner flags, here's what we can learn from analysing passing
How to find the best performance estimation approach for time-series forecasts among 12 strategies proposed in the literature. With Python…
The Jaccard index, also known as the Jaccard similarity coefficient, is a statistic used for gauging the similarity and diversity of sample sets. It is defined in general taking the ratio of two sizes, the intersection size divided by the union size, also called intersection…
How to adjust CATE to consider costs associated with your treatments
When you use supermarket discount cards, you are sharing much more than what is in your cart—and grocery chains like Kroger are reaping huge profits selling this data to brands and advertisers
Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex...
Questions on A/B testing are being increasingly asked in interviews but reliable resources to prepare for these are still far and few…
An easy-to-read, highly condensed analysis of all the known, confirmed, rumored, and absolute myth-level Google ranking factors.
Using and choosing priors in randomized experiments.