Boxes, trucks and bikes

Should we still be talking about online and offline retail, or about trucks versus boxes versus bikes?

The Two Flavors Of Churn You Need To Know - Crunchbase News

Net dollar churn is a more value-driven way of looking at churn.

A/B/C Tests: How to Analyze Results From Multi-Group Experiments

Experimentation is widely used at tech startups to make decisions on whether to roll out new product features, UI design changes, marketing campaigns and more, usually with the goal of improving…

Oliver Palmer | You probably don’t need A/B testing

The best way to optimise your website is usually the simplest.

Resource Round-Up: Causal Inference | Emily Riederer

Free books, lectures, blogs, papers, and more for a causal inference crash course

Are You Still Using Pandas to Process Big Data in 2021?

Pandas doesn’t handle well Big Data. These two libraries do! Which one is better? Faster?

Buyer beware: Massive experiment shows why ticket sellers hit you with last-second fees | Haas News | Berkeley Haas

There’s a reason that online ticket sellers hit you with those extra fees after you’ve picked your seats and are ready to click “buy.” Pure profit. A

8 Common Pitfalls of Running A/B Tests

How not to fail your online controlled experimentation

A/B Testing — A complete guide to statistical testing

Optimizing web marketing strategies through statistical testing

AB_Testing/AB_Testing.ipynb at main · bjpcjp/AB_Testing

A/B Testing — A complete guide to statistical testing - bjpcjp/AB_Testing

Pylift: A Fast Python Package for Uplift Modeling – Wayfair

Uplift models seek to predict the incremental value attained in response to a treatment. For example, if we want to know the value of showing an advertisement to someone, typical response models will only tell us that a person is likely to purchase after being given an…

Annotated Heatmaps of a Correlation Matrix in 5 Simple Steps | by Julia Kho

A heatmap is a graphical representation of data in which data values are represented as colors. That is, it uses color in order to…

Why you should try the Bayesian approach of A/B testing

The intuitive way of A/B testing. The advantages of the Bayesian approach and how to do it.

Why You Should Learn Alteryx

You can say goodbye to coding for data wrangling and data cleaning

https://px6vg4ekvl21gtxs836x5jyx-wpengine.netdna-ssl.com/wp-content/uploads/2020/09/Guide-to-Product-Analytics-Worksheet.pdf

The Guide to Product Analytics - Introduction | Mixpanel

The Guide to Product Analytics taps dozens of product leaders (from companies like Google, Twitter, and LinkedIn) to break down how PMs can use product analytics to drive product-led growth.

Retail Analytics: A Novel and Intuitive way of finding Substitutes and Comp

Retail Analytics: Data Science for Retail

One Piece of Calculus That Can Change the Way You Advertise

If you make $10 profit each time you sell a product, what cost per conversion should you aim for? Answering this question isn't easy, but it can teach us a lot about how to approach advertising.

Features

PSL Features

I've Built Multiple Growth Teams. Here's Why I Won't Do It Again. | CXL

Big success. Bigger failure. And lots of lessons. Learn why building a growth team may be a multi-million dollar mistake.

How tracking pixels work - Julia Evans

https://docs.simpleanalytics.com/uniques

How To Design Profitable Sales Funnels On Mobile

Every website or PWA you build should automate as much prospecting and selling as possible. The only thing is that visitors enter websites with various mindsets, depending on which part of the buying stage they’re at. This means that you can’t just take every person who enters…

Back to basics: Understanding your paid search metrics

Learn how to interpret what’s happening in your paid search account with your traffic, conversions and sales data.

Building our Centralized Experimental Platform | Stitch Fix Technology – Multithreaded

Running an A/B test is easy. Screwing up an A/B test is even easier.

19 Free Tutorials for Google Analytics

Google Analytics may be the most important application to understand the behavior of your visitors. And whether you’re a beginner or an experienced user, there are many free resources to help. Here is a list of free tutorials for Google Analytics.

Google Analytics: Introduction to Cross-device Reporting | Practical Ecomme

There has been a seismic shift in website traffic in the past several years, from desktop to mobile. Google Analytics has rolled out the beta version of cross-device reporting to inform merchants of how their shoppers are interacting via multiple devices.

Using Experiments to Launch New Products

Increasingly, companies are using experiments to guide them in their decision making—but many are still missing opportunities, or are failing to implement experiments well. When it comes to the rollout of new products, one particularly effective new kind of experiment involves…

How to use data in user research when you have no web analytics

When we think about the data we hold on our services, the first thing that comes to mind is often website analytics. But there are other valuable and occasionally overlooked types of data that can be really useful to user researchers.

Replacing Google Analytics with GoAccess

How I replaced Google tracking with simple log-based analytics on my personal website.

On Migrating from Google Analytics - Thomas Hunter II

7 Gaps in Google Analytics That Require Additional Tools

Google Analytics is a powerful, free web analytics platform. However, it has gaps that are better served by other tools. I'll address those gaps and tools in this post.

$9 Marketing Stack: A Step-by-Step Guide

Update 2016-10-18: This tutorial has been updated to reflect the latest version of my stack (now with Drip!). I’ve also updated pricing info (it’s technically a $0 stack now) and screenshots. The original outdated article is archived here. “Just tell me what to do so I can stop

How to Respond to Skepticism of Testing Small Groups of Users

“That’s just one person” and “Our real users aren’t like that” are common objections to findings from qualitative usability testing. Address these concerns proactively to ensure your research is effective.

6 Experimentation Secrets from Airbnb and Uber

Last week we hosted over 130 experimenters at Optimizely HQ in San Francisco for our first live event of the year. We were lucky enough to be joined by two...

Evidence scores — the acid test of your ideas

Finding and building the next big idea is the holy grail of any tech company. Unfortunately the statistics are against us: when subjected…

It's time to ditch Google Analytics - Fast Company

Check out these 3 privacy-focused alternatives to Google Analytics.

We wasted $50K on Google Ads so you don’t have to

Connect with developers sharing the strategies and revenue numbers behind their companies and side projects.

4 Ways to Measure Marketing Campaigns You (Probably) Haven’t Considered

When we need to measure marketing campaigns, most of us have cracked online campaign tracking – we have a cookie

https://t.co/jaEWMYfgXr?ssr=true

25 Ecommerce A/B Testing Ideas For Your 5 Top Store Pages

The biggest question in ecommerce A/B testing is not “how.”

Things I Learned Building an Analytics Engine

A side project that got much bigger than I thought.

How to Use Google Analytics: A Complete Guide

Read this guide for an overview of Google Analytics and how you can use all the data to your advantage to boost your SEO and digital marketing.

The Best Product Teams Crave Truth and Do Math

Edge Computing at Chick-fil-A – Chick-fil-A Tech Blog – Medium

The Left Side of Steve Kerr’s Brain

Sammy Gelfand is the numbers guy behind the Golden State Warriors’ success. Some pretty good players help, too.

51 Examples of Growth Hacking Strategies & Techniques From The World’s Most

Learn how the world's fastest growing companies have hacked their way to success with innovative products, viral promotions and ingenious marketing campaigns. [6500 words]

Comparing A/B and Multivariate Testing

A/B tests are controlled experiments of two attributes, to measure which one was most popular with users. You can apply A/B testing to just about anything that you can measure. Multivariate testing allows you to measure multiple variables simultaneously.

Using Google Analytics with Angular

Marketing Multi-Channel Attribution model based on Sales Funnel with R

We will review another fascinating approach that marries heuristic and probabilistic methods. We will link marketing channels with a probability of a customer passing through each step of a Sales Funnel