Since writing my rant about the schema conspiracy of web analytics platforms, I’ve been giving the whole idea of hit-level data collection a lot of thought. Sessionization is very heavily implemented in Google Analytics, which is understandable, but the regular Google Analytics API just doesn’t give you the kind of information you’d need, if you wanted to stitch hits together differently in your own backend. In fact, there are four distinct levels of aggregation that are not exposed via the API, even though I think they should:

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In 2013, I wrote a guide for Universal Analytics and Google Tag Manager on how to poll for weather conditions, and send this information to Google Analytics as a custom dimension of the session. The guide was intended as a technical introduction to Google Tag Manager, and I think it succeeded in that. However, GTM has changed a lot over the last 1.5 years, and I’ve made some improvements to the method along the way.

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In Google Tag Manager, every single Tag requires a Trigger to fire. Every single Trigger requires an Event condition to activate. Sometimes, these Event conditions are obfuscated under template semantics, but you can also create a Custom Event Trigger, where you specify the value of the ‘event’ key in dataLayer that fires your tag. You can read more about the relationship between GTM events and Tags in these two posts:

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Be honest, can you think of anything that’s more unfair than this: A new Google Tag Manager feature, published at 02:07 AM my time, and with an easter egg hunt involved?! Of course it was the infuriating Charles Farina who found the new feature and claimed the prize. Curses! (Just kidding Charles, you’re still awesome.) Anyway, there’s a new GTM feature in town, and oh boy, this time it’s a big’un!

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This nifty little solution will let you calculate the time spent on pages that are not tracked in Google Analytics by default. These include both bounced landing pages and exit pages. Bounced pages and exit pages lack the necessary subsequent pageview, which Google Analytics uses to calculate time-based metrics. Before you go on, read this excellent article by Yehoshua Coren: REAL Time On Page in Google Analytics Yehoshua gives a very nice use case for the technical solution I’m about to explore.

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In this #GTMtips post, we’ll go over a simple method for tracking file downloads in Google Tag Manager, specifically the new, V2 interface. Also, “tracking file downloads” means sending Events to Google Analytics, so this is a GA for GTM guide as well. Tip 15: Set up file download tracking in GTM Since we’re using Google Analytics as the tracking platform, we’ll need the following ingredients to make this setup work:

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NOTE 30 Oct 2019: I’ve published a new article on outbound link tracking in Google Tag Manager, which makes the whole process much, MUCH simpler. I strongly recommend you read that article instead. Tracking outbound links is important for many. Identifying the exit paths is almost as important as tracking entrances. In this simple #GTMtips post, I’ll show you how to track outbound links with a simple Trigger + Auto-Event Variable combination in the new Google Tag Manager interface.

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