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Let’s be clear: measuring the performance of your campaigns today is a risky business. With the disappearance of cookies, increasingly strict privacy regulations, and user journeys that look more like a maze than a funnel... relying solely on traditional attribution can turn into a costly mistake.
And this is where Meridian comes in — Google’s open-source Marketing Mix Modeling (MMM) tool that provides a clear, accurate and actionable view of your media investment performance.
TABLE OF CONTENTS
Meridian is Google’s proposal to democratize MMM. It’s free, flexible, privacy-friendly, and powerful enough to model business results using aggregated and non-personal data.
In practical terms, what can you do with Meridian?
In short, bring structure and data to your media mix decisions not just gut feeling or internal pressure.
Meridian is an open source tool developed by Google specifically for building Marketing Mix Modeling models. It allows brands to:
Unlike closed solutions, Meridian is flexible and customisable, and is designed to integrate with the Google Cloud ecosystem, such as BigQuery or Vertex AI. Thanks to its open-source approach, it is possible to adapt it to the particularities of each industry, market or data source.
In short, Meridian operationalises Marketing Mix Modeling and makes it available to brands looking for a more robust and privacy-friendly alternative to measure the performance of their media mix.
Adsmurai is an official partner of Meridian by Google for the development and implementation of Meridian models. This means that we work closely with the Google team to:
In addition, our proprietary technology (AMP) is fully prepared to integrate Meridian's results and turn them into real actions: budget redistribution, channel changes, creative adjustments... Whatever you want, without leaving the environment you already know.
Imagine you are a fashion brand investing in YouTube, Meta, Google Search, TV and in-store promotions. Sales are stagnating and performance pressure is tightening.
With Meridian you could:
See that YouTube is generating a sustained uplift in search and web traffic (even though traditional attribution didn't recognise it).
In short: make decisions with hard data and avoid the classic ‘we are investing because we have always done it this way’.
The million-dollar question. Here's a quick summary table:
Feature |
Meridian (Google) |
Robyn (Meta) |
Origin |
|
Goal |
Focus |
Tactical granularity, planning |
Strategic granularity, forecasting |
Language |
Python (works with BigQuery) |
R (requires some technical knowledge) |
Data |
Aggregated, not personal |
Aggregated, not personal |
Ease of use |
Medium (requires setup in Cloud) |
Medium-High (depending on environment) |
Display |
Basic, but integrable with Looker |
Includes dashboards own |
Ideal for... |
Brands already integrated into Google Cloud |
Brands that prioritize Meta + performance |
At Adsmurai we work with both, and we often use both to compare and enrich results. As they say in analytics: all models are wrong, but some are useful.
Marketing Mix Modeling is a statistical technique that allows you to analyze the impact of each marketing variable (media, promotions, seasonality, and external factors) on a specific business result, such as sales, leads, or revenue.
Unlike digital attribution models, MMM does not rely on individual identifiers or cookies. It is based on aggregated and historical data and models the relationship between media investment and business results, allowing you to answer questions such as:
The MMM is especially useful in multi-channel and omni-channel environments, where direct attribution does not adequately reflect the value of channels such as TV, YouTube, or upper-funnel campaigns.
If you are looking for a turnkey solution, we recommend starting with by MMMs: our Marketing Mix Modeling service.
Although Meridian is a powerful solution, it requires certain conditions to work effectively:
At Adsmurai, we help our clients overcome these barriers through onboarding processes. automated, personalized insight visualization, and actionable recommendations from the first month.
If you're already using tools like GA4, Looker Studio, Google Ads, or CM360, the setup is even more agile.
With us, you don't just have a technical partner, but a strategic ally. At Adsmurai, we help you:
All without having to set up a data science team from scratch or struggle with thousands of spreadsheets.
If your brand is ready to evolve toward a more advanced measurement model, we recommend you check out MMMs: Our Media Mix Modeling Solution.
At Adsmurai, as an official Meridian partner, we support brands throughout the entire process: from data structuring to media activation. And if you're looking for a complete and connected solution, MMMs is the ideal starting point.
Do you want to take the leap towards strategic, business-focused measurement?
Let's talk.
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