Paramark is rebuilding marketing measurement around incrementality, the question of how much lift a campaign actually causes, rather than the misleading signals of last-click attribution and platform-reported metrics. As privacy changes degrade traditional tracking and as marketing spans an ever-wider mix of channels, teams increasingly cannot tell which investments truly drive revenue. Paramark addresses this with a generative AI platform that measures real impact through rigorous experimentation.
The platform's methodology centers on experimentation and machine-learning models that isolate variables to reveal genuine lift. It supports multiple testing formats, including classic A/B tests, geo-based holdouts, and audience-split experiments, applied across channels from search and social to TV and out-of-home. By designing and reading these experiments, Paramark helps marketers attribute outcomes to causes instead of correlations, then forecast how future budget allocations are likely to perform.
Paramark unifies three capabilities that have historically lived in separate tools or consultancies: measurement of incremental impact, an experimentation engine to generate that evidence, and forecasting to plan ahead. The generative AI layer makes this approachable for in-house teams, lowering the barrier to running sophisticated incrementality programs that were once the domain of large enterprises with dedicated data-science groups.
The company is led by CEO Pranav Piyush, who previously worked in Google's marketing measurement group, alongside CTO Pete Belknap and founding engineer Hourann Bosci. Paramark raised $8 million in total, anchored by a $6 million seed round led by Greylock following a previously unannounced $2 million pre-seed. Its backers and advisors include former CMOs from Dropbox, Salesforce, and Amazon, as well as the CMO of Figma and the chief communications officer of OpenAI, a roster that lends strong credibility with senior marketing buyers.
For fast-growing businesses trying to maximize marketing ROI amid signal loss and channel sprawl, Paramark offers a way to stop guessing and start measuring true impact. Its differentiation is a rigorous, experimentation-first approach to incrementality, packaged with forecasting and made accessible through generative AI.