Paramark provides a platform for CMOs and CFOs to analyze marketing spend using marketing mix modeling and scientific experimentation. The system uncovers the incremental contribution of marketing channels to drive budget allocation and forecasting accuracy. This approach moves beyond touch-based attribution to offer a reliable view of marketing ROI and investment impact.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.



Founders
Product
Problem
Traditional marketing attribution methods struggle to accurately measure the true impact of marketing investments due to limitations in capturing all touchpoints, data loss from increasing privacy regulations, and a lack of correlation and causation in touch-based models. This makes it difficult for businesses to optimize marketing budgets and demonstrate ROI effectively.
Solution
Paramark offers a marketing measurement and forecasting platform that utilizes Marketing Mix Modeling (MMM) and incrementality testing to provide a comprehensive understanding of marketing's incremental impact. By integrating impression and cost data from all marketing, sales, and partner channels with business outcome data, Paramark delivers a holistic perspective on ROI. The platform enables continuous improvement through ongoing forecasting, experimentation, and budget reallocation, empowering businesses to make data-driven decisions and maximize marketing contribution. Paramark helps identify the incremental contribution of each channel, analyze incrementality and diminishing returns, and reveal the link between brand investments and business outcomes.
Target Audience
Paramark is designed for marketing leaders, brand leaders, analytics leaders, and finance leaders in B2B SaaS businesses, commerce, and mobile app companies.
Features
- Marketing Mix Modeling (MMM) to uncover marketing's incremental contribution, providing a reliable alternative to touch-based attribution.
- Incrementality testing to analyze the true impact of marketing efforts through robust experiments across various channels (Social, Search, OOH, TV, etc.).
- Forecasting and planning tools to explore what-if scenarios, find the ideal balance for objectives, and align with finance for budget and goal setting.
- Comprehensive data collection from all marketing, sales, and partner channels, along with business outcome data.
- Analysis of incrementality and diminishing returns of every channel and campaign to maximize marketing contribution.
- Brand investment analysis to reveal the link between brand investments and business outcomes, eliminating click-only bias.