Ekimetrics

Open-source MMM made cheaper, not easier

Open-source marketing-mix-modeling (MMM) libraries have dramatically lowered the financial barrier to entry, but they have not reduced the statistical and domain expertise required to produce trustworthy results. The article highlights three production-grade open-source tools — Robyn (Meta), Meridian (Google), and PyMC-Marketing (PyMC Labs) — and describes a growing SaaS vendor layer built on those tools. Practical adoption blockers include data access and quality (e.g., two to three years of weekly, channel-level data and offline channel integration), the need for significant human judgment to configure and validate models, and the importance of organizational context. The piece warns that AI can help with scripting but not with the domain-specific decisions and validation required for actionable MMM.

Four-step YouTube Strategy for Measurable Brand Growth

OMR presents a four-step strategy for measurable brand growth on YouTube, illustrated with recent European case studies from Douglas and OTTO. The piece recommends anchoring brands in cultural moments, investing in authentic creators, using Google AI for automated campaign optimization (including the multimodal Gemini Omni model), and validating every euro through measurement tools such as Brand-Lift and Search-Lift. Reported results include strong uplift in brand metrics and performance: Douglas saw higher ad recall and conversion rates with creator-driven Shorts, and OTTO tested a Shoppable Masthead with substantially higher conversion and click metrics. The article cites market data (e.g., YouTube reaches 56 million monthly users in Germany) and positions YouTube as a full-funnel, creator-driven advertising platform for 2026.

AI as Equalizer: Small Teams Compete Using Google Gemini

This OMR analysis argues that generative AI — led by Google’s Gemini model and related ad products — is leveling the marketing playing field by automating operational tasks and enabling small teams to achieve precision and scale previously reserved for large brands. The article highlights a shift away from manual keyword management toward intent-driven setups (Broad Match + AI Max, Demand Gen, Performance Max), notes AI Overviews compress customer journeys and can improve conversion quality, and cites use cases and vendor claims (Lufthansa, Salesforce) showing reduced campaign complexity and higher ROAS. It also urges technical preparedness (real-time product feeds, UCP integration) and use of platform insights for strategy. The piece blends industry data, vendor examples and a four-step playbook for marketers in 2026.