Observed Signal · Jun 30, 2026 · Implementation · Source: Meedia · Impact: 3/5 · Sentiment: Positive
home24 Uses Google Meridian for Budget Optimization
home24 implemented a Marketing Mix Modelling (MMM) project using the privacy-conscious, open-source Google Meridian framework together with MarTech provider Digitl. The Bayesian MMM analyzed three years of aggregated data across ten marketing channels and external factors (seasonality, promotions) and explained around 80–83% of profitable revenue in Germany; home24 reports a potential 10% uplift in profitable revenue through budget reallocation within existing channels. The model identified video/YouTube as a key driver and will lead to adjustments inside Google display and video networks. Digitl says it has been using Meridian for over a year and notes planned integration with Google Analytics 360; home24 intends to roll the approach out to additional European markets.
Practical advertiser case study showing measurable uplift (10% profitable revenue) from using Google Meridian MMM; demonstrates adoption of privacy-conscious, open-source measurement frameworks and has relevance for budget allocation and measurement practices across marketing teams, but is not a platform-wide product launch or regulatory change.
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Key Takeaways & Evidence Grounding
- home24 implemented a Marketing Mix Modelling project based on Google Meridian together with MarTech service provider Digitl.
- The Bayesian model evaluated three years of aggregated data across ten marketing channels and accounted for factors like seasonality, promotions and vouchers.
- For the German market the model explains about 83% of profitable revenue and Google Meridian can account for four out of five advertising euros.
- home24 reports a potential 10% increase in profitable revenue through budget reallocation across existing channels while keeping total ad spend constant.
- The analysis identified video formats, specifically YouTube, as a relevant revenue driver and home24 plans to reallocate budgets within Google display and video networks and expand the model to additional European markets.
Connected Companies & Entities
3 Entities mapped“Grundlage ist das datenschutzkonforme Open-Source-Framework Google Meridian, das gemeinsam mit dem MarTech-Dienstleister Digitl implementier...”
“The article is published on MEEDIA and authored by Frank Puscher (publication metadata and byline)....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Google Unveils Meridian MMM and New Releases
Google detailed Meridian, its open-source Marketing Mix Modeling (MMM) framework, in Episode 6 of the Ads DevCast. Meridian provides a privacy-safe, cross-channel view of marketing ROI using aggregated historical data and models such as Hill curves and adstock to estimate incremental lift versus baseline. At GML 2026 Google announced three new Meridian surfaces: Meridian in GA360 (turnkey MMM in Google Analytics 360), Meridian Studio (a Google Cloud enterprise platform with native agentic AI for data quality and scenario planning), and Meridian GeoX (an open-source geo-based incrementality calibration engine). Product Manager Katie Munro and Developer Relations Engineer Jeff Li discussed the math, use cases, and implementation paths. The post was authored by Cory Liseno of Google’s Advertising and Measurement Developer Relations team.
Google Unveils No-Code Tool for Marketing Budget Simulations
Google has launched Scenario Planner, a no-code tool that exposes its Meridian marketing mix model (MMM) to marketers without requiring data-science skills. The interface lets users run interactive simulations, shift spend across channels, and view projected ROI in real time—turning MMM from a retrospective analysis into a forward-looking planning tool. Scenario Planner is designed to make MMM outputs actionable for budget allocation and stress-testing investment scenarios. The article cites research (Harvard Business Review) that roughly 40% of organizations struggle to convert MMM insights into decisions, a gap this product aims to address.
Google Unveils Code-Free Marketing Mix Modeling for Everyone
Google launched a new code-free interface for Meridian, its Marketing Mix Modeling (MMM) product, to make MMM insights accessible to non-technical marketers. The interface lets users explore Meridian data, analyze campaign performance across channels, and stress-test planning scenarios for optimization without needing data-science skills. Marketing Mix Modeling attributes sales and outcomes to marketing activity over time while accounting for seasonality and external factors; historically MMM has been a specialist, data-science-driven practice. Google’s update aims to lower the technical barrier for MMM adoption and streamline planning and incrementality analysis for broader marketing teams.
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