Google Meridian Launched a Scenario Planner
Edited by Debra John — February 26, 2026 — Marketing
This article was written with the assistance of AI.
References: adweek
Google launched a code-free Scenario Planner for Meridian, its Marketing Mix Model, offering marketers an interface designed to explore MMM outputs with natural-language prompts and interactive scenario tests. The tool is aimed at non-technical users and was introduced to make Meridian’s cross-channel attribution insights more accessible to planning teams.
The Planner lets users query models, adjust budget allocations and stress-test campaign scenarios to project returns without writing code. It retains Meridian’s statistical backbone while exposing controls through an easy UI and supports collaboration between analysts and marketers.
For brands, the Planner lowers the technical barrier to using MMM, enabling faster, data-informed planning and more resilient measurement as privacy constraints evolve. By turning historical attribution into forward-looking scenario work, it helps teams prioritize spend and forecast outcomes across channels.
Image Credit: dee karen / Shutterstock
The Planner lets users query models, adjust budget allocations and stress-test campaign scenarios to project returns without writing code. It retains Meridian’s statistical backbone while exposing controls through an easy UI and supports collaboration between analysts and marketers.
For brands, the Planner lowers the technical barrier to using MMM, enabling faster, data-informed planning and more resilient measurement as privacy constraints evolve. By turning historical attribution into forward-looking scenario work, it helps teams prioritize spend and forecast outcomes across channels.
Image Credit: dee karen / Shutterstock
Trend Themes
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Code-free Scenario Planning — Non-technical interfaces for scenario planning enable planners to run sophisticated MMM simulations and iterate forecasts without engineering support, creating opportunities for embedded decision tools that democratize advanced analytics.
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Natural-language Model Interfacing — With natural-language prompts surfacing model outputs, teams are able to translate complex statistical results into conversational queries, opening space for contextualized AI assistants that interpret and summarize attribution insights.
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Collaborative Cross-channel Attribution — Shared interactive tools that bridge analysts and marketers transform historical attribution into joint forward-looking scenario work, encouraging platforms that blend governance, versioning and multi-user planning workflows.
Industry Implications
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Marketing Technology — Martech stacks can integrate code-free planners to embed MMM-driven recommendations directly into campaign orchestration systems, shifting value toward platforms that surface prescriptive budget allocations and confidence metrics.
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Advertising Agencies — Agencies that adopt intuitive scenario tools gain the ability to present data-backed forecasts to clients in real time, prompting new service models centered on continuous optimization and transparent ROI modeling.
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Retail and E-commerce — Retailers with multi-channel spend can leverage scenario planning to forecast channel-specific returns under privacy constraints, creating potential for inventory and promotion planning tightly coupled to marketing simulations.
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