Overview
In today's digital landscape, media investments need to be data-driven and continuously optimized to maximize returns. CPG brands and advertisers struggle with fragmented media data, inefficient spend allocation, and a lack of real-time performance insights. These challenges lead to wasted budgets, suboptimal ROAS (Return on Ad Spend), and missed opportunities for audience engagement.
Key challenges in media optimization:
- Fragmented media data across multiple platforms, making it difficult to unify insights.
- Lack of real-time measurement to track media spend effectiveness across different channels.
- Inefficient budget allocation due to static media planning rather than dynamic optimization.
- Limited transparency in campaign performance, leading to reactive rather than proactive decision-making.
- Inability to link media efforts to business outcomes such as sales uplift and customer retention.
Sigmoid’s MediaIQ is a data-driven media analytics solution that enables brands to optimize their marketing investments through AI-powered insights. The solution unifies first-party (1P), second-party (2P), and third-party (3P) data sources, applies advanced attribution modeling, and leverages predictive analytics to enhance media effectiveness.
Key Features & Capabilities:
- Unified Media Performance Dashboard: A single view of campaign performance across channels such as programmatic, social, search, and retail media.
- Marketing Mix Modeling (MMM): Quantifies the impact of various media channels on business KPIs like sales and conversions.
- Attribution Analysis: Identifies the most effective media touchpoints along the consumer journey.
- Audience Intelligence: AI-driven insights on consumer behavior, demographics, and buying intent to optimize targeting.
- Real-Time Budget Optimization: AI-based recommendations for spend reallocation to maximize ROAS.
- Predictive Analytics for Spend Planning: Forecasting models to improve future media strategies.
- Automated Media Reporting: Customizable dashboards for campaign monitoring and decision-making.
Business Benefits:
- Maximize ROAS by optimizing spend across different channels.
- Eliminate wasteful media spend with data-driven insights.
- Improve audience targeting with AI-powered segmentation.
- Real-time performance tracking for agile marketing decisions.
- Link media investments to business outcomes for better strategic planning.
AWS Workloads Used in MediaIQ:
- Amazon S3 – Scalable and secure data lake for media data storage.
- AWS Glue – ETL pipelines to unify and transform multi-source media data.
- Amazon Redshift – High-performance data warehouse for advanced analytics.
- Amazon SageMaker – AI/ML models for marketing mix modeling and spend optimization.
- Amazon QuickSight – Interactive dashboards for real-time media insights.
Highlights
- Unified Media Performance Dashboard: A single view of campaign performance across channels such as programmatic, social, search, and retail media.
- Marketing Mix Modeling (MMM): Quantifies the impact of various media channels on business KPIs like sales and conversions.
- Audience Intelligence: AI-driven insights on consumer behavior, demographics, and buying intent to optimize targeting.
Details
Unlock automation with AI agent solutions

Pricing
Custom pricing options
How can we make this page better?
Legal
Content disclaimer
Resources
Vendor resources
Support
Vendor support
For more information on the solution, please contact abhishek.vora@sigmoidanalytics.comÂ