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Prescient AI, Inc. Unclaimed

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prescientai.com

New York, NY, United States

Prescient AI provides a daily-updating marketing mix modeling platform that helps growth teams measure cross-channel impact and optimize advertising spend.

Prescient AI is a data-science led company delivering a Marketing Mix Modeling (MMM) and forecasting platform for growth teams. The company’s mission is to give brands a complete, data-driven view of how their marketing actually performs across channels, including halo effects and cross-channel dynamics that traditional attribution often misses. The platform updates daily, enabling brands to see current performance and simulate the impact of budget shifts in near real time. Prescient AI serves enterprise marketing and finance teams across ecommerce, retail, and direct-to-consumer environments, providing cross-channel measurement, saturation analysis, and scenario planning to optimize spend, maximize ROAS, and improve accountability. The team combines deep expertise in Bayesian statistics and machine learning with practical marketing experience to build models that reflect how advertising actually works in the real world. The company emphasizes transparent dashboards, actionable insights, and fast time-to-value, with many customers going live within a matter of weeks. Content on the site describes a broad set of capabilities—from measuring the true impact of every channel to validating data sources and scaling measurement across the organization. Prescient AI positions itself as a partner for growth teams seeking to align marketing investments with business outcomes, offering ongoing support and emphasis on data governance and privacy. The organization highlights a culture of rigorous analytics, collaboration with brands, and a focus on helping teams make better, faster decisions about where to allocate marketing budgets for maximum return.

To give brands a complete, data-driven picture of how their marketing actually performs across channels.

What we offer

Prescient AI Marketing Mix Modeling Platform

Empower your growth strategy with real-time cross-channel marketing insights and optimization.

prescientai.com/platform/media-mix-model

Market segments

Market size by segment

Growth potential (CAGR)

Marketing mix modeling

5.97 Billion USD10.6% CAGR

Quantification of marketing channel and spend impact on short- and long-term outcomes, integrating brand equity into MMM to optimize media allocation and ROI.

Media mix optimization

5.97 Billion USD10.6% CAGR

Budget allocation and optimization across paid and owned channels using saturation curves and scenario-based ROAS maximization.

Incrementality and experimental measurement

2 Billion USD12% CAGR

Causal measurement using geographic holdouts, synthetic controls, and rigorous validation to quantify incremental lift and inform channel strategy.

Revenue forecasting and planning

4 Billion USD11% CAGR

Capabilities for demand and revenue forecasting, quota planning, what-if scenario testing, and historical performance analysis to support go-to-market planning and forecasting accuracy.

More information about our offering

Prescient AI Marketing Mix Modeling Platform

Prescient AI Marketing Mix Modeling Platform is a data-science-led platform that measures cross-channel marketing performance, including halo effects and saturation dynamics. It updates daily, enabling near real-time performance insights and scenario planning to optimize spend and ROAS for enterprise brands across ecommerce, retail, and direct-to-consumer. The platform ingests data from multiple channels through integrations and presents transparent dashboards with actionable insights.

  • Quantify Revenue Contributions
    Provides precise insights into how each channel drives revenue, allowing for effective budget allocation.
  • Access Current Performance Data
    Stay informed with up-to-date insights that allow for timely decision-making in budget allocations.
  • Reveal Incremental Contributions
    Understand the full impact of marketing efforts across channels to improve performance metrics.
  • Data-Driven Decision-Making
    Utilize intuitive dashboards to drive strategic decision-making effectively.
  • Seamless Data Connections
    Effortlessly gather data from various sources to build a comprehensive marketing overview.
  • Simulate Budget Impacts
    Assess potential outcomes of budget shifts to make informed marketing decisions.
  • Optimize Marketing Spend
    Avoid over-investment in channels losing effectiveness by identifying saturation points at a glance.

References

Methodology and sourcing behind the figures shown above.

Marketing mix modeling

Primary estimate based on Future Market Insights' Marketing Mix Optimisation market sizing (covers platforms and services): USD 5.97B (2026) with a 10.6% CAGR to 2036. MarketIntelo provides a narrower software-only view (USD 2.1B in 2025, higher software CAGR ~14.2%), supporting that the broader optimisation market is several billion USD and growing in double digits driven by cookieless measurement, first‑party data integration, and AI/ML adoption.

Media mix optimization

Primary estimate based on Future Market Insights’ “Marketing Mix Optimisation Market” which values the market at USD 5.97 billion (2026) and forecasts a 10.6% CAGR to 2036. A secondary, software‑focused source (MarketIntelo) reports a smaller $2.1 billion software market in 2025 with a higher 14.2% CAGR to 2034; the discrepancy reflects scope (FMI covers broader optimisation market including services and platforms, MarketIntelo focuses on software). I adopt the FMI top‑line as the best match for the provided 'media mix optimization' segment.

Incrementality and experimental measurement

No explicit global market-size or CAGR for “incrementality and experimental measurement” appears in the provided results. I treated this segment as a niche within broader marketing-measurement/martech/adtech services (a small fraction of global adtech and marketing-analytics spend). Search results show strong demand drivers (privacy-driven measurement changes, platform signal loss, and rising adoption of experiment- and model-based measurement) but do not provide direct market sizing. I therefore estimated a conservative addressable market of roughly $2 billion (global annual vendor revenue) today, reflecting a small share of marketing-measurement budgets and specialist SaaS/consulting services. Growth potential is higher than traditional capital equipment measurement markets because of SaaS delivery, validation demand, and privacy-driven measurement needs; I estimate a ~12% CAGR over the coming years. Where applicable, I used measurement-market analogs from the search results (test & measurement reports) as context for demand in measurement-related markets.

Revenue forecasting and planning

No explicit market-size or CAGR data found in the provided search results (they define revenue forecasting, methods, and benefits). Using internal market hierarchy: revenue forecasting & planning tools are a subsegment of FP&A / EPM and sales-forecasting software within the broader corporate performance management and sales analytics SaaS market. Typical FP&A/EPM market estimates (internal industry knowledge) run in the mid-single-digit billions; revenue forecasting/planning represents a substantial share of that demand (top-down and planning modules, plus sales/revenue-specific SaaS). Applying a conservative share of the FP&A/EPM market yields an estimated market size of roughly $3–5B; midpoint used = $4.0B. Growth potential follows recent EPM/FP&A and sales-analytics SaaS trends (increased cloud adoption, AI-driven forecasting) implying high-single-digit to low-double-digit CAGR; conservative estimate = 11% CAGR.

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