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…
The best way to optimise your website is usually the simplest.
Free books, lectures, blogs, papers, and more for a causal inference crash course
Pandas doesn’t handle well Big Data. These two libraries do! Which one is better? Faster?
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
How not to fail your online controlled experimentation
Optimizing web marketing strategies through statistical testing
A/B Testing — A complete guide to statistical testing - bjpcjp/AB_Testing
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…
A heatmap is a graphical representation of data in which data values are represented as colors. That is, it uses color in order to…
The intuitive way of A/B testing. The advantages of the Bayesian approach and how to do it.
You can say goodbye to coding for data wrangling and data cleaning
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: Data Science for Retail
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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.
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Big success. Bigger failure. And lots of lessons. Learn why building a growth team may be a multi-million dollar mistake.
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…
Learn how to interpret what’s happening in your paid search account with your traffic, conversions and sales data.
Running an A/B test is easy. Screwing up an A/B test is even easier.
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.
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.
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…
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.
How I replaced Google tracking with simple log-based analytics on my personal website.
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.
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
“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.
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...
Finding and building the next big idea is the holy grail of any tech company. Unfortunately the statistics are against us: when subjected…
Check out these 3 privacy-focused alternatives to Google Analytics.
Connect with developers sharing the strategies and revenue numbers behind their companies and side projects.
When we need to measure marketing campaigns, most of us have cracked online campaign tracking – we have a cookie
The biggest question in ecommerce A/B testing is not “how.”
A side project that got much bigger than I thought.
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.
Sammy Gelfand is the numbers guy behind the Golden State Warriors’ success. Some pretty good players help, too.
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]
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.
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
When deciding whether to track users on the server or on the client, there are many gotchas and factors to consider. Here is a short guide with pros and cons of each.
Data Science, Machine Learning, AI & Analytics