Observed Signal · Feb 19, 2026 · Product Launch · Source: https://martech.org/feed/ · Impact: 4/5 · Sentiment: Positive
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.
Major platform (Google) released a no-code planning tool that could broaden MMM adoption and change how marketers allocate budgets and forecast ROI, affecting media planning and measurement workflows across the industry.
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Key Takeaways & Evidence Grounding
- Google launched Scenario Planner, a no-code tool built on its Meridian marketing mix model (MMM).
- Scenario Planner provides an interactive, code-free interface for testing budget allocations and viewing projected ROI.
- The tool enables forward-looking simulations and stress-testing of investment strategies rather than only backward-looking reporting.
- The article cites Harvard Business Review research saying nearly 40% of organizations struggle to translate MMM findings into decisions.
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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.
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.
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.
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