For decades, marketers and publishers have been obsessed with page views, average time on site, and – of course – the bounce rate. Sadly, these KPIs often leave stakeholders frustrated because they don’t necessarily reflect actual user engagement. In this post, I share a tag manager-based method to better measure whether users stay on the site long enough to read the contents of a page.
Measure page reading and dropoff times
From MeasureCamp Paris, June 14, 2025
So I walked into a packed room for my second session on AI. Apparently, “reason #3 will surprise you!” worked as a subtle clickbait hook on my session card. No pressure!
I did not build a slide deck for once so I‘m sharing a write-up of the session below.
AI is intellectual fraud
Starting on November 3, 2025, LinkedIn will start to use some data from members to train content-generating AI models. That data can be from user profiles but also from posts and other user-generated, or user-provided content. Not that they haven’t used your data in the past, but better late than never, am I right?
At any rate, here is a super fast guide to opt out of LinkedIn AI.
Opt out of LinkedIn AI before November 3
When you manage data for multiple websites and mobile applications, you will be tempted – with good reason – to consolidate the data into a single data source. Because we are now slimming down our data footprint, this post shows how to achieve data consolidation using server-side tag management. The post will be focusing for Google products, but rest assured this can be done with other vendors.
Traffic consolidation with server-side tag managementIf you watched Better Call Saul, there is this episode where Kim Wexler, the attorney for large fictional bank Mesa Verde, fires them as a client after they repeatedly ignore her expert legal advice. In the… On expertise and client relationships
Google Analytics 4 has introduced a benchmarking feature, enabling businesses to compare their performance against industry peers. While this functionality was previously available in the now defunct Universal Analytics, GA4 offers enhanced standardization through the… Google Analytics 4 now offers benchmarking
I just published a new post on Medium in which I finally put the “death of the cookie” hoopla to rest. Read the article : Cookies are delicious and I just can’t get enough
After all the hoopla around Safari v14 and unfounded rumors about Safari blocking Google Analytics, here is a handy flowchart to know where your digital marketing data collection stands:
In this post, I will show you how to streamline your eCommerce tracking implementation and upload product data to Google Analytics.
From a remote CSV file.
Over Google Sheets.
Automatically.
Sounds good? Here we go!
Google Analytics eCommerce: upload product data with Google Sheets
Here is a Google Universal Analytics Cheat Sheet to help you make sure you use the right parameters to track data on your websites and mobiles apps!
Working on Hub’Scan means I need to master every single aspect of Google Universal Analytics data collection. This means I get to maintain an accurate, updated list of parameters for the 500+ tags in the Hub’Scan library.
Don’t get me wrong, there are Google Universal Analytics cheat sheets out there but they are not complete and the official Google reference does not provide a list of all parameters.
Google Universal Analytics Cheat Sheet – Measurement Protocol Parameters
French