Best Incrementality Testing Tools for Google Ads

Skai is the best marketing platform for brands that want to plan, activate, and measure growth strategies through the most engaging digital channels. Skai is the only marketing platform that combines data-driven insights with best-of-breed optimizing to help brands make informed decisions, scale up and measure performance across Google and Facebook, Microsoft, Amazon and Walmart, Roundel and Apple Search Ads. Machine-learning algorithms and artificial Intelligence from Skai leverage market signals to help companies predict and keep up with the omnichannel customer journey. Skai is backed by Sequoia Capital and Arts Alliance, Tenaya Capital and Bain Capital Ventures.

Lifesight is a unified marketing measurement platform that helps marketers move away from inaccurate attribution that leads to misallocated budgets & wasted ad spend. Lifesight leverages modern measurement techniques like marketing mix modeling, incrementality testing & causal attribution to help them make better decisions that result in sustainable & profitable growth. Our core features: Data centralization & operationalization: Eliminate data silos, data quality issues and inconsistencies so you get the right insights every time. Marketing effectiveness measurement: Measure the true causal impact of online and offline marketing on all sales so you can make the right decisions. Planning, forecasting & optimization: Achieve your marketing goals with predictability & confidence with AI-powered insights. Marketing intelligence & analytics: Navigate your way to profitable growth by blending marketing & finance to deliver continuous improvements. Lifesight offers full-funnel measurement for every industry: Ecommerce, Retail, Agencies, gaming, entertainment, B2B SaaS and Travel & lifestyle. Learn more at lifesight.io

Google Meridian is an open source framework for Marketing Mix Modeling (MMM) designed by Google, aimed at assisting advertisers and analysts in effectively assessing the influence of their marketing initiatives across both online and offline platforms without dependence on cookies or individual user tracking. Central to Meridian is a Bayesian causal-inference model that can process aggregated data—including spend, sales, key performance indicators, reach and frequency, geographical data, seasonality, and external controls—to determine the incremental impact of each marketing channel, such as search, social media, video, and offline media, on overall results, as well as to calculate return on ad spend (ROAS), response curves, and optimal budget distribution. As an open-source tool, it affords users complete visibility into the methodologies and code, empowering them to customize model settings, data inputs, and the underlying assumptions. This level of transparency not only enhances trust but also encourages collaboration among users to refine the model further. Additionally, the open-source nature allows for community contributions, which can lead to continuous improvements and innovations in the framework.