avatar MediaMath Review

MediaMath offers powerful programmatic advertising solutions with advanced targeting. Strengths include data integration and cross-channel capabilities. Areas for improvement include user interface complexity and customer support responsiveness.

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What we love:

Real-time bidding

Advanced RTB capabilities with extensive supply integrations, but slightly behind top competitors in speed.

8/10

Audience targeting

Robust audience segmentation and targeting options, including first-party data integration and AI-driven insights.

9/10

Campaign optimization

Strong optimization algorithms and machine learning, but some users report occasional performance inconsistencies.

8/10

Reporting and analytics Review

We've been utilizing MediaMath's reporting and analytics tools for several months now, and we're quite satisfied with their performance. The platform offers comprehensive insights into campaign performance, allowing us to track key metrics across channels effortlessly. We appreciate the customizable dashboards, which enable us to focus on the most relevant data for our clients.

The real-time reporting feature has been particularly useful, helping us make quick adjustments to optimize campaigns on the fly. We've also found the attribution modeling capabilities to be robust, giving us a clearer picture of the customer journey.

While the learning curve can be steep for new users, we've found the interface to be intuitive once familiar. Overall, MediaMath's reporting and analytics functionality has significantly improved our ability to demonstrate ROI and make data-driven decisions for our clients.

Audience targeting Review

MediaMath's audience targeting capabilities have impressed our team. The platform offers a robust set of tools for segmenting and reaching our desired audiences across various channels. We appreciate the flexibility to create custom segments based on first-party data and combine them with third-party data sources.

The real-time bidding integration allows us to target users with precision, ensuring our ads reach the right people at the right time. We've found the lookalike modeling feature particularly useful for expanding our reach to similar high-value audiences.

While the interface can be complex at times, the depth of targeting options more than makes up for it. We've seen significant improvements in campaign performance since implementing MediaMath's audience targeting. Overall, it's a powerful solution that has become an essential part of our digital marketing strategy.

Campaign optimization Review

Our team has been impressed with MediaMath's Campaign optimization functionality. The platform's AI-driven approach consistently delivers improved performance across our campaigns. We appreciate how it dynamically adjusts bids and budgets based on real-time data, ensuring our ad spend is always optimized.

The ability to set custom goals and KPIs has been particularly useful, allowing us to tailor our campaigns to specific business objectives. We've also found the automated audience segmentation and lookalike modeling to be highly effective in reaching new, high-value prospects.

While the learning curve can be steep, the results have been worth the effort. Our campaigns have seen significant improvements in ROI and engagement metrics. Overall, MediaMath's optimization tools have become an integral part of our digital marketing strategy, helping us stay competitive in an ever-evolving landscape.

Cross-channel advertising Review

We've found MediaMath's cross-channel advertising functionality to be robust and effective. The platform allows us to seamlessly manage campaigns across display, video, mobile, and social channels from a single interface. We appreciate the ability to create unified audience segments and apply them consistently across channels.

The real-time bidding capabilities have helped us optimize our ad spend and improve campaign performance. We can easily adjust bids based on user behavior and other variables. The reporting tools provide valuable insights into cross-channel attribution and audience engagement.

While there's a learning curve to master all features, MediaMath's support team has been helpful in onboarding and troubleshooting. Overall, the cross-channel capabilities have streamlined our workflows and enhanced our ability to deliver cohesive messaging across touchpoints. There's still room for improvement in some areas, but we're satisfied with the platform's performance.

Real-time bidding Review

We've been using MediaMath's Real-time bidding (RTB) functionality for several months now, and we're impressed with its performance. The platform's ability to analyze and bid on ad inventory in milliseconds has significantly improved our campaign efficiency. We appreciate the granular control MediaMath offers over bidding strategies. The AI-driven optimization has helped us achieve better ROI by automatically adjusting bids based on real-time data. The integration with multiple ad exchanges and SSPs provides access to a vast inventory, allowing us to reach our target audience across various channels. However, we did experience a slight learning curve when setting up complex bidding rules. The user interface could be more intuitive for newcomers to programmatic advertising. Overall, MediaMath's RTB functionality has enhanced our digital advertising efforts, providing us with the tools to compete effectively in the fast-paced world of programmatic advertising.

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Best for company size?

Small Business 3/10
Mid-sized Business 7/10
Large business 9/10

Industry Focus

Advertising and Marketing 10/10
E-commerce 9/10
Media and Entertainment 8/10
Financial Services 7/10
Technology 7/10
Automotive 6/10
Travel and Hospitality 6/10