A highlight reel.

Our flagship design and build: measurement infrastructure custom-designed for a single business, and deployable by a brand's own engineering team or by GBS. We call these foundations of automated in-house ad-efficacy systems MeasurementOS, and they are on par with the infrastructure behind commercial measurement SaaS and the internal systems of top marketers. We have spec'd several more advanced capabilities into these designs as well.

• Bespoke system design that sits inside a brand's existing tech stack, on-prem
• AI-powered data validation and preparation into a modeling-ready dataset
• Deploys and versions multiple fully custom or open-source MMMs, and other causal models
• Powers daily, granular incrementality estimates by applying model-derived incrementality factors to attributed data
• Every aspect of the system is customizable

A trained, always-on agent that automates the hardest parts of running an incrementality test, from design to read. It is model-agnostic and carries over a hundred years of combined test-running expertise from GBS practitioners.

• Runs geo and matched-market tests, difference-in-differences, time-based quasi-experiments, and more
• Loaded with best-in-class data-science packages, modified by GBS to fit the job
• Used inside GBS, deployable on-prem for marketers, and available to platforms automating first-party incrementality

Unlike a single off-the-shelf MMM or a basic open-source package, we often build multiple custom MMMs that interlink. That lets us model the tradeoffs between brand and direct response, monetization and acquisition, or across related lines of business that can cannibalize one another.

• Set real business constraints and acceptable tradeoff bounds, then optimize across strategies
• Find global-optimum spend levels and mix across a product portfolio
• Fully bespoke MMMs, built from the ground up for your business

This is what operationalizes measurement and brings it to life for a team. Fully bespoke dashboards and control panels that surface what you need and let you steer your measurement approach, with views for C-level executives, marketing leaders, data-science operators, media buyers, and more.

• SaaS-grade polish, fully bespoke to the business and its data
• Displays for model health, ROI, optimization and scenario planning, incrementality results, and anything else the business needs
• Hosted on-prem and owned in-house, wired into existing systems

Links effective marketing spend to market-share gain, then simulates how measurement quality compounds into share over a five-year horizon. It quantifies what good versus bad measurement is worth, in points of share.

• Links effective spend to share gain, not just short-term ROI
• Models effective versus ineffective spend under competing measurement paradigms
• Simulates multi-year share shifts and the cost of mismeasurement, in points of share