What is a 3rd-party cookie, why it matters, and what you should do now

Cookies and milk

Summary: This article explains why third-party cookies matter, what their loss will mean for internet marketing, and what companies should do now. How do you know which part of your marketing is helping you? That’s an old problem, and over the years people have tried various methods for solving it. Let’s say you publish “Carrot … Read more

Are you getting the granular customer feedback you need?

Editing video

Summary: This article emphasizes the importance of curation in creating a good product. It’s up to content creators to sift through the noise and present the most valuable and relevant content to their audience. The author encourages publishers to actively seek and incorporate granular, detailed customer feedback to improve their product. My friend Charles Benaiah … Read more

Get more granular with your user data

Get granular with user data

Summary: The article discusses the importance of granular data analysis over aggregated data in various contexts. This idea extends to different scenarios like social media, television viewership, and book readership. The author emphasizes the value of detailed feedback, such as pinpointing a specific social media post causing unfollows or identifying the exact moment viewers stop … Read more

Analytics tips from a pro — how your data can deceive you if you don’t have the larger context

complicated spreadsheet

Summary: The article discusses the importance of questioning assumptions about data to ensure accurate interpretation. A conversation with data expert Michelle Drewek highlights key observations. Firstly, the shift from “average time on page” to “average session duration” led to better content decisions. Secondly, eliminating anomalies from page views and considering context aids accurate analysis. Lastly, … Read more

Data without customer feedback can be misleading

Customer service

Summary: Relying solely on analytics without customer feedback can lead to misconceptions. This article outlines situations where data can mislead without contextual understanding, highlighting the importance of validating assumptions with real customer experiences. Are you sure your analytics mean what you think they mean? I saw a post on LinkedIn the other day asking why … Read more

The death of the 3rd party cookie doesn’t mean they can’t track you

Blue monster with cookie

Have you heard of “intent-based marketing”? According to an article by Sara Fischer, It’s Dotdash Meredith’s response to the alleged death of the 3rd party cookie. To understand how this works, let’s start with how things used to work. You visit a website, say 123.com, and 123.com participates in an ad network, called ads4everybody.com. If … Read more

Track your KPIs, but beware measurement bias

Summary: Measurement is often a prerequisite to growth, but it can also lead you astray. “What gets measured gets done” is a useful saying in many ways. Measuring something requires attention. Measuring allows you to track improvement. An impending measurement motivates action. However, a bias towards measurable things might lead us to abandon worthwhile things … Read more

Word of warning about Google Analytics 4

complicated spreadsheet

As you probably know, GA Universal Analytics will stop collecting data on July 1, 2023. If you want to continue using GA, you’ll need to switch to GA4. You’ll have access to historical data in Universal Analytics for 6 months, then it will be gone. You might want to schedule some downloads. You might not … Read more

The use and misuse of demographics

the worldwide web

Takeaway: It doesn’t matter what “audiences” want. It matters what your audience wants. Publishers should be wary of trend analysis that doesn’t take demographics into account because it can lead to a skewed understanding of the audience and their preferences. For example, Booktok might seem like a great way to get “crowdsourced” information about what … Read more

How do you measure engagement?

measurement

A recent Bo Sacks post included this interesting paragraph. “Norwegian publisher Amedia reaches 2.4M readers daily across all platforms. It uses a machine learning algorithm to identify characteristics of user behavior that indicate happy and satisfied customers. The algorithm analyzes up to 70 reader behavior statistics and boils it down to a single number called … Read more