Conversations (2)
the left axis on this chart
raised this on the other chart too, same a reporting lag. (edited to fix a unit)
Clear.
Is the other chart built from the same extract?
+1, and Benelux looks the same way.
I agree.
the y axis comes across as wrong.
Nahuel Salvatore Nicely done.
Same as before.
Looking at the correction factor applied retroactively to 2018, it ranges from 1.02 to 1.18 depending on the region, but the documentation doesn't explain what variation justifies such different correction magnitudes. If the same event should apply equally to all regions, the variation suggests either regional data quality differences or a methodological choice that needs explaining. Should we investigate?
Aligns with the known off-peak pattern.
Agreed.
Thanks , that resolves it.
Elayne Baggins I'd agree with this direction.
mobile subscriptions here is double-counted; it should be seasonally adjusted.
Can we compare to last year?
Yep.
Milica Lindgren Your point about the compounding effect of the time zone offset across our geographically distributed user base is spot-on — that's exactly the kind of subtle bias that shifts quarterly results.
Correcting myself: the anomaly is in absolute terms, so the comparison holds.
Daise Almeida The análisis looks solid.
Region should probably be seasonally adjusted.Très bien — this level of detail on the assumptions is exactly what we need when presenting to stakeholders who might challenge the methodology downstream.
Milica Lindgren Well done.
Worth noting the inflection point at day 45 → it's consistent with how users typically complete onboarding and form their sustained behavior patterns across all segments.
Should mobile subscriptions be in constant terms for this comparison to mean anything?
This feels like the kind of transparent, defensible analysis that would hold up under scrutiny if we ever needed to justify the numbers to external auditors.