prodmgmt/analytics
How to build upon a previous experiment, without throwing it all away.
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.
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. Many of these retailers would quickly admit that this isn’t an optimal strategy, and that they are likely leaving money on the table — and they’re often right. The authors’ experience with price testing has shown that there is actually a significant amount of money left on the table when pricing is left un-optimized.
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.
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.
8 stories · A guide to building an end-to-end marketing mix optimization solution for your organization.
Applying causal machine learning to trim the campaign target audience
How to compare and pick the best uplift model
This article will take you through everything about Cohort Analysis that you should know. What is Cohort Analysis in Data Science?
How to adjust CATE to consider costs associated with your treatments
Questions on A/B testing are being increasingly asked in interviews but reliable resources to prepare for these are still far and few…
I recently rewatched "The Wire". The show's central theme is about counter-productive metrics and their corrupting influence on institutions. I've noticed hints of this pattern in software engineering, too
Software culture and the abuse of data
Use these tips to quickly analyze performance data and identify high-impact PPC optimizations that will move the needle.
In many board rooms, the most important go-to-market number this quarter is pipeline health. For some companies, the pipeline may be less clear than a quarter or two ago. Summer seasonality may play a role. Macroeconomics might also be lurking within the numbers. Pipeline fluctuations are normal. But any meaningful & unexpected surprise warrants introspection. Pipeline analysis often has four parts: Craft the sales sandwich to predict your GTM conversion rates & determine if close rates have changed in parallel.
Amazon will continue to be highly competitive. Want to be successful? Optimize your product listings to the fullest with these tips.
There is a huge and ever-widening gap between the devices we use to make the web and the devices most people use to consume it. It’s also no secret
Over the past few years, marketing on the web has become way too much fun. I remember trying to figure out what “hits” on awstats [http://awstats.sourceforge.net/] meant in high school, and I distinctly can recall how disappointed I was when I found out the true meaning. Nowadays,
Analyzing the SERPs for these micro intents will help you create the right content that a searcher will want to find.
Pricing is hard. Make it too low and you miss out on profit; too high and you miss out on sales. These pricing experiments will help you get it right.
“My biggest surprise was when we launched the Facebook app and it didn’t go viral” -Startup CEO quote “The month after we ...
Knowing what to test and how to interpret the results based on nuances and oddities of experiments is an important skill for people, not automations.
Startup Metrics, a love story. All slides of an 6h Lean Analytics workshop. - Download as a PDF or view online for free
Multivariate tests indicate how various UI elements interact with each other and are a tool for making incremental improvements to a design.
Shoppers' actions on an ecommerce site create opportunities for automated, triggered emails. Such behavior-based email automation is a sure-fire tactic to drive revenue.
Conjoint analysis is a highly effective means of market research, capable of informing a company’s pricing strategy and product development.
Conjoint analysis is the optimal market research approach for measuring the value that consumers place on features of a product or service. Learn more!
Startup Metrics for Pirates - Download as a PDF or view online for free
The way we live our lives has an impact on our work. Long lists of typical chores may turn your
Competitive poaching refers to the practice of bidding on ads for a competitor’s search terms, in order to poach customers searching for that brand. It’s a common tactic in the world of digital ads — but is it effective? The author shares results from the first-ever empirical study of this practice, which found that poaching can work well for higher-end brands, but may backfire for lower-end or mass market offerings. Specifically, the study found that when an ad poached customers who searched for a high-end brand, users clicked on it more, but when an ad poached a low-end or mass market target, users were less likely to click. Of course, the author notes that clickthrough rate is just one metric, and there may be other ways in which a poaching campaign could be harmful or beneficial. But these findings can help marketers add a bit of science to the art that is digital advertising, helping them to optimize campaigns for their unique products and customers.
It's time to optimize for People Also Asked questions asked around and about your brand in Google's SERPs. Here's why.
The most consistent sales leader I’ve worked with hit plan 27 consecutive quarters. How can a sales leader develop similar repeatability? Much goes into it here are the reports he used to manage his team at the board level. The PQR (pipeline-to-quota) funnel is first. Pipeline is the total value of the accounts within a stage or later. Quota is the aggregate quota on the street for the quarter. Divide P by Q to get PQR.
Elaborate usability tests are a waste of resources. The best results come from testing no more than 5 users and running as many small tests as you can afford.
Common mistakes to avoid when you’re getting started with experimentation
Should we still be talking about online and offline retail, or about trucks versus boxes versus bikes?
Net dollar churn is a more value-driven way of looking at churn.
The best way to optimise your website is usually the simplest.
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
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.
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 the site through the same path. You have to design a custom sales funnel (or pathway) for each kind of buyer. In this article, Suzanna Scacca will tell you what you need to keep in mind.
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 randomizing the introduction of new products across a set of markets. Uber used this strategy before rolling out its Express Pool service, and Airbnb did the same before rollout out a new landing-page design. In both cases, the companies gathered data that allowed them to roll out their products with confidence that they would succeed—as indeed they did. Many companies, even those not in the tech sector, can benefit from this kind of experimentation, especially if they follow a few basic guidelines.
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.
Finding and building the next big idea is the holy grail of any tech company. Unfortunately the statistics are against us: when subjected…
The biggest question in ecommerce A/B testing is not “how.”
At some point, almost every company faces questions like How good are the customers that we acquire? How do they