Cogentiq Media Planner

Cogentiq Media Planner is a self-serve, cloud-based, and user-centric MMM planning platform that enables confident decision making on top of your MMMs. It is a centralized platform for insights, simulation, optimization, and more that leads to significant efficiency gain in the media planning process. It combines advanced analytics with intuitive workflows to help users:

• Visualize key drivers of sales through dynamic, interactive dashboards.

• Simulate multiple investment and channel allocation scenarios.

• Optimize campaign budgets using one-click portfolio optimization.

Marketers and business leaders often struggle with slow, fragmented, and manual media planning processes that rely on static models and disconnected tools. Traditional MMM (Marketing Mix Modeling) outputs are difficult to operationalize, making it challenging to translate insights into actionable plans. This leads to inefficiencies, delayed interventions, suboptimal media allocations, and missed revenue opportunities.

Cogentiq Media Planner transforms static MMM outputs into actionable intelligence through an interactive, cloud-based, and AI-driven experience. By integrating analytics, automation, and intelligence, Cogentiq Media Planner delivers 30–50% improvement in planning efficiency and ensures data-driven, confident decision-making.

• It centralizes simulation, optimization, and planning into a single platform.

• The Early Warning System flags potential risks and underperforming campaigns in advance.

• The Simulation Panel allows users to run “what-if” scenarios across all drivers, including baseline and media inputs.

• The Media Optimizer automatically identifies the best media mix to achieve specific business objectives.

• Its Agentic AI virtual MMM consultant provides context-aware recommendations, generates insights on demand, and assists planners with real-time decision support.

Cognetiq Media Planner is fully deployed and managed on Microsoft Azure, ensuring enterprise-grade performance, scalability, and security:

• Azure Kubernetes Service (AKS): Enables scalable, containerized microservices for efficient workload orchestration.

• Azure Database for PostgreSQL: Provides a secure, high-performance, and fully managed relational data layer for storing model outputs, simulations, and user data.

• Azure Blob Storage: Supports cost-effective storage of model artifacts, visualizations, logs, and reports.

• Azure Virtual Machines (VMs): Power compute-intensive workloads and analytical processing.

• Azure Virtual Network (VNet) and Load Balancer: Ensure secure network isolation, reliable traffic distribution, and seamless user access.

• Azure OpenAI Service: Enables the development of intelligent AI agents for automated insights, scenario simulation, and natural language interaction within the MMM ecosystem.