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Paramark secures $8 million in funding to expand its generative AI platform that helps marketing teams measure true campaign impact through incrementality and experimentation. The platform replaces outdated attribution models by analyzing over $1.5 billion in ad spend with advanced statistical techniques. Backed by Greylock, Paramark supports marketers in making more confident, data-driven budget decisions.
From Deck to Dollars: How Paramark Secures $8M in Fresh Funding
Paramark, a generative AI adtech startup, raises $8 million in seed funding to reshape how marketing teams evaluate impact and spending. Greylock leads the investment round. The startup focuses on helping brands quantify the financial outcomes of their advertising strategies through AI-driven modeling and experiments.
The funding pitch centers on Paramark’s ability to replace outdated attribution models with analytics tools that offer predictive and performance insights. Investors respond to a 34-slide pitch deck that outlines Paramark’s product capabilities, go-to-market plans, and early traction.
Founded by Pranav Piyush (CEO) and Pete Belknap (CTO), with Hourann Bosci as founding engineer, Paramark targets fast-growing businesses seeking to improve budget allocation and cross-functional planning between marketing and finance.
Why Traditional Marketing Attribution Models Fall Short
Paramark’s core argument challenges the reliability of touch-based attribution, which often fails to reflect true channel contribution due to signal loss and privacy-driven data gaps. The startup critiques the limitations of relying solely on clicks or touches, noting that such models miss the underlying cause-and-effect relationships.
Data deprecation, regulatory constraints, and incomplete customer journeys reduce the accuracy of traditional methods. These weaknesses make it difficult for marketing and finance leaders to validate spend or predict ROI, particularly in complex, multi-channel environments.
Paramark’s methodology focuses on incrementality—measuring the true lift generated by marketing activities—supported by experimentation and machine learning models that isolate variables.
Inside the Paramark Platform: What Makes It Different
Paramark integrates data from all marketing, sales, and partner sources to create a unified model of performance. The platform operates in four steps:
- Collect: Aggregates cross-channel data along with business outcomes.
- Analyze: Builds a marketing mix model to identify correlations and suggest experiment hypotheses.
- Experiment: Executes geo- and user-based tests across digital and offline channels.
- Improve: Refreshes the model monthly to update predictions and budget recommendations.
The system emphasizes incrementality testing to quantify each channel’s contribution. It moves beyond basic attribution to provide statistical confidence in budget decisions. Users gain visibility into the diminishing returns curve of each campaign, helping reallocate spend more effectively.
Paramark also supports forecasting and scenario planning, allowing marketing teams to run what-if analyses that align with business goals.
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Smarter Spend Starts Here: How Paramark Analyzes $1.5B in Ad Investments
To date, Paramark analyzes over $1.5 billion in marketing investments. Its customers span sectors like SaaS, commerce, and mobile apps, all seeking to shift from intuition-based decisions to data-informed strategies.
Clients use Paramark to track campaign lift, efficiency, and budget effectiveness at the channel level. The software provides visualizations that connect marketing inputs to incremental revenue outcomes, aiding performance reviews and executive alignment.
Feedback from enterprise users highlights hands-on collaboration with Paramark’s team in designing statistically valid experiments. The startup supports multiple testing formats, including A/B, geo-based, and audience-split testing across platforms like search, social, TV, and out-of-home.
Who’s Backing the Vision: Meet the Founders and Investors
Pranav Piyush, previously part of Google’s marketing measurement group, leads Paramark alongside CTO Pete Belknap, who brings engineering expertise. Founding engineer Hourann Bosci contributes to the platform’s experimentation engine.
Greylock backs the team, bringing early-stage venture capital support and a network in enterprise SaaS and AI. The investor group sees value in Paramark’s approach to solving marketing measurement with rigorous statistical techniques, rather than heuristic or last-touch logic.
The team’s direct experience with flawed attribution systems informs their product development and go-to-market strategy. Their perspective appeals to stakeholders across marketing, analytics, and finance.
What This Means for Marketing Teams in 2025
Paramark enters a landscape where marketing leaders face mounting pressure to demonstrate impact under increased scrutiny. CMOs and CFOs require solutions that tie media investment to business results with accuracy and repeatability.
The shift toward privacy-first advertising and AI-generated content has intensified the need for advanced modeling frameworks. Paramark’s platform fits into this shift by enabling agile experimentation and monthly forecasting adjustments.
Teams use Paramark to align planning cycles across departments, identify underperforming channels, and test campaign hypotheses before large-scale rollout. The platform’s scientific framework allows for faster iteration with reduced budget risk.
Why Paramark Becomes a Serious Contender in the MarTech Landscape
Paramark’s funding round, customer validation, and methodological clarity position it as a strong entry in the competitive martech category. Unlike legacy tools that depend on attribution based on visibility or engagement, Paramark leans on causal inference to support marketing strategy.
Its use of AI and experimentation reflects a broader industry trend toward transparency and accountability in marketing performance. With continuous model updates, cross-functional support, and a track record of analyzing over $1.5 billion in spend, Paramark offers marketing teams a practical path toward evidence-based growth.
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