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When the drop hits -Act #2

In my last post, I shared some observations about the latency of our raw GA4 data landing in BigQuery.


That sparked a wave of thoughtful follow-up questions. Thanks to everyone who reached out with insights and curiosities.


Architecture

All of the datasets we’re analysing come from a single site: DugaDigital.com.

The site is dual-tracked with two server-side streams:


  • One for GA4 360

  • One for GA4 Standard


Which brings us to the core question:


Are these two datasets actually comparable?


Compare rows and sessions

To find out, we looked at the daily tables for each dataset and plotted two key metrics:


  1. Table size (row counts)

  2. Session volumes


Are they in the same ballpark?


Rows look about right - 6375 is the 360 property:

ree

Sessions follow a similar pattern:

ree

(If you're wondering about the spikes at the end of September — that was me using our own site for calibration and automated testing.)


Overall, the two datasets appear pretty consistent. With that confirmed, we can turn our attention back to the main topic: bg_drop time.


360:

ree

Standard:

ree

Are the curves flattening? Speeding up?

Too early to say, but we’re watching closely.


Stay tuned.

 
 
 

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