An Introduction to Experiment Pairing — Precoil

How to build upon a previous experiment, without throwing it all away.

Supply Chain Analysis with R Using the planr Package | R-bloggers

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...

Mastering the Big 12 Data-driven Economic Concepts - DataScienceCentral.com

“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…

Marketing Mix Modeling (MMM): How to Avoid Biased Channel Estimates

Learn which variables you should and should not take into account in your model.

Customer Satisfaction Analysis with Python

In this article, I'll take you through the task of Customer Satisfaction Analysis with Python. Customer Satisfaction Analysis with Python.

6 Statistical Methods for A/B Testing in Data Science and Data Analysis

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 Amazon Weekly Business Review

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.

Run Charts - Improvement | theCompleteMedic

Create your first run chart and start interpreting your data using just four rules. Your go-to QI resource.

18 Data Profiling Tools Every Developer Must Know

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…

Sample Size Calculator

Visual, interactive sample size calculator ideal for planning online experiments and A/B tests.

The Secret at the Heart of Continuous Improvement

Continuous Improvement sounds simple, even obvious. And yet there's a profound secret at its heart that doesn't seem to get talked about.

Using window functions for advanced data analysis

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.

Alabama, UConn Share Analytical Mindset—And Even Used Same Firm

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.

Detecting Hallucinations in Large Language Models with Text Similarity Metr

In the world of LLMs, there is a phenomenon known as "hallucinations." These hallucinations are...

Goodhart's law

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…

Lessons from More Than 1,000 E-Commerce Pricing Tests

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…

Tools to Export Google’s SERPs

Knowing the URLs in search engine result pages leads to further analysis, such as referring domains, page authority, word count, and more.

How to use Causal Inference when A/B testing is not available

Evaluating ad targeting product using causal inference: propensity score matching!

Market Basket Analysis using Python

In this article, I'll take you through the task of Market Basket Analysis using Python. Market Basket Analysis using Python.

What’s an Operational Definition Anyway?

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.

Burning money on paid ads for a dev tool – what we've learned

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…

Your Followers are not Your Fans

Using data provided by Vivid Seats and Instagram, I learned that social media clout isn't all it's cracked up to be.

Congrats on your Customer Lifetime Value prediction model — now what are yo

An obsessively detailed guide to Customer Lifetime Value techniques and real-world applications

11 free tools for PPC campaign management

These tools can help you analyze PPC competitors, track search trends or design ad creative – all without spending a dime.

Evaluation Metrics for Recommendation Systems — An Overview

Understanding the purpose and functionality of common metrics in ML packages

A/b testing with fat tails

Caveats and Limitations of A/B Testing at Growth Tech Companies

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…

the-markup/xandr-audience-segments

List: Marketing Mix Modeling | Curated by Abhijeet Talaulikar | Medium

8 stories · A guide to building an end-to-end marketing mix optimization solution for your organization.

From “Heavy Purchasers” of Pregnancy Tests to the Depression-Prone: We Foun

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

Uplift Modeling — A Data Scientist’s Guide to Optimizing a Credit Card Rene

Applying causal machine learning to trim the campaign target audience

Evaluating Uplift Models

How to compare and pick the best uplift model

15 Google Analytics 4 alternatives: Free and low-cost options

Looking for the best alternative to Google Analytics 4? Here are 15 web analytics platforms you may want to consider.

8 annoying A/B testing mistakes every engineer should know

Running experiments is equal parts powerful and terrifying. Powerful because you can validate changes that will transform your product for the better…

When You Should Prefer “Thompson Sampling” Over A/B Tests

An in-depth explanation of “Thompson Sampling”, a more efficient alternative to A/B testing for online learning

7 top enterprise SEO tools compared: A comprehensive evaluation

An in-depth look at seven tools used by enterprises for content optimization, technical SEO, and reporting and analytics.

What is Cohort Analysis in Data Science

This article will take you through everything about Cohort Analysis that you should know. What is Cohort Analysis in Data Science?

Retail Price Optimization using Python

In this article, I will walk you through the task of Retail Price Optimization with Machine Learning using Python. Retail Price Optimization.

Supply Chain Analysis using Python

In this article, I will take you through the task of Supply Chain Analysis using Python. Supply Chain Analysis using Python.

How and where each Premier League team pass — and how they’ve changed

From Villa's weirdly disconnected midfield to Forest playing passes near their corner flags, here's what we can learn from analysing passing

12 Ways to Test Your Forecasts like A Pro

How to find the best performance estimation approach for time-series forecasts among 12 strategies proposed in the literature. With Python…

Jaccard index

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…

Uplift Modeling with Cost Optimization

How to adjust CATE to consider costs associated with your treatments

Forget Milk and Eggs: Supermarkets Are Having a Fire Sale on Data About You – The Markup

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

7 Open-Source Log Management Tools that you may consider in 2023

Effective log management is a fundamental aspect of maintaining and troubleshooting today's complex...

25 A/B Testing Concepts — Interview Cheat Sheet

Questions on A/B testing are being increasingly asked in interviews but reliable resources to prepare for these are still far and few…

Google ranking signals: A complete breakdown of all confirmed, rumored and false factors

An easy-to-read, highly condensed analysis of all the known, confirmed, rumored, and absolute myth-level Google ranking factors.

Bayesian AB Testing

Using and choosing priors in randomized experiments.

Media Mix Modeling: How to measure the effectiveness of advertising with Py

Media Mix modeling, its implementation, and practical tips

How to Select the Right Statistical Tests for Different A/B Metrics

A Discussion of the go-to methods for 5 Types of A/B Metrics