Pathik + Media Mix Modeling (MMM)
Measure and optimize the true impact of every marketing channel with Pathik’s advanced Media Mix Modeling.
Overview
Pathik’s MMM provides statistical modeling to understand the incremental impact of media, trade, and below-the-line (BTL) activities on sales. With built-in controls for seasonality, promotions, and external factors, you can quantify ROI at a channel, campaign, or regional level.
What you can do with MMM
• Decompose sales into Base, Media, Trade, and BTL contributions • Forecast outcomes based on different spend scenarios • Calculate Return on Investment (ROI) for each channel • Identify saturation and diminishing returns curves
Why use Pathik MMM
• Make data-driven budget allocation decisions • Prove marketing effectiveness to CFOs & CEOs • Run “what-if” simulations to guide planning • Ensure compliance with statistical best practices
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Discover how Pathik connects across your marketing stack.
Media Mix Modeling
(MMM)
Pathik’s MMM engine helps you understand what truly drives results. Combine sales, spend, and external variables to uncover real ROI and predict optimal media allocation.
Task Management
Keep your workflows organized and transparent. Assign tasks, set priorities, and track progress across campaigns, teams, and deliverables, all in one shared workspace.
Plan Approvals
Simplify multi-level approvals for campaign plans and optimizations. Pathik keeps everyone aligned and accountable, with full visibility from proposal to execution.
One Unified View
Bring all your data, campaigns, and analytics into one intelligent view. Compare performance across Google, Meta, TikTok, and other platforms in real time.
AI Optimization Suite
Automate complex optimization decisions. Pathik’s AI dynamically manages bids, budgets, and audiences across platforms to maximize ROAS and minimize wasted spend.
Collaborative Ecosystem
Connect strategy, data, and people. Pathik’s collaborative environment unites marketing, analytics, and leadership teams — enabling smarter, faster decisions together.
Frequently Asked Questions
Get instant answers to your questions about MMM in Pathik.
MMM uses aggregated data and controls for external variables, while MTA tracks user-level journeys. Pathik can support both.
Most clients update quarterly, but Pathik supports ongoing MMM with fresh data inputs.
Unlock ROI insights with Pathik MMM
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