Google is integrating Meridian, its open-source marketing mix model, directly into Analytics 360, and adding Qualified Future Conversions, a Gemini-powered predictive metric. Serious measurement that was once enterprise-only is becoming accessible, but a model is only as honest as the data you feed it.
A marketing mix model does not make your data good. It just makes your bad data look authoritative.
Google is integrating Meridian, its open-source marketing mix model, directly into Analytics 360. It is also adding Qualified Future Conversions, a Gemini-powered predictive metric that tries to value conversions that have not happened yet. Measurement that used to be the preserve of big enterprises with analytics teams is being pushed down to anyone on Analytics 360.
Marketing mix modelling is the serious version of measuring what works. Instead of giving the last click all the credit, it models how every channel contributes to sales, including the ones that do not get clicked. Done well, it answers the question every business actually has: if I move money from here to there, what happens to revenue.
The catch is the one that has always applied. A model is only as honest as the data feeding it. Meridian in Analytics 360 lowers the engineering effort, but it does not fix messy inputs. Feed it incomplete tracking and gappy conversion data and it will give you a confident answer built on sand.
Why it matters
For Australian businesses, this is the most useful thing in Google's recent announcements, precisely because it is not about spending more. It is about understanding where the spend actually works. That is the gap most businesses have. They know what they spent. They do not know what it earned, channel by channel.
The businesses that get value from this are the ones who already capture clean data. The ones flying blind will get a sophisticated model that confidently confirms whatever their broken tracking already told them. The tool raises the ceiling. It does not raise the floor.
Meridian moves marketing mix modelling from specialist analytics teams into Analytics 360
What to do about it
This is the right kind of tool, the kind that helps you understand rather than just spend. It only works if you have done the unglamorous work of measuring properly first.