TrustRadius Insights
Integration with 3rd party partners: Users have found the integration with 3rd party partners, such as Factual and Grapeshot, helpful in …
Overview
What is MediaMath?
MediaMath is a demand-side platform that offers off-the-shelf and custom capabilities for brands to reach and influence customers and prospects on any screen. Powered by the company's Brain algorithm which predicts performance and optimal price for bids.
Recent Reviews
Product Details
- About
- Tech Details
What is MediaMath?
MediaMath Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
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Reviews and Ratings
(18)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- Pros
- Cons
- Recommendations
Integration with 3rd party partners: Users have found the integration with 3rd party partners, such as Factual and Grapeshot, helpful in bringing in sophisticated targeting abilities. This capability allows for more precise audience segmentation and targeting, which has been praised by multiple reviewers.
Excellent customer support: MediaMath has consistently received praise for its excellent customer support. Reviewers appreciate the fast response times, concise communication, and helpful guidance provided by the dedicated support team.
Easy management and optimization of campaigns: Many users find it easy to manage and optimize their prospecting and re-marketing campaigns using multiple sources of data providers within MediaMath's platform. This streamlined process not only saves time but also helps achieve better results by optimizing cost-per-acquisition goals.
Limited bulk editing: Some users have found that the bulk editing feature in MediaMath is limited, as it is only available for certain targeting parameters. This limitation can make it difficult and time-consuming to make changes to multiple campaigns at once.
Limited projection tools: According to some reviewers, the projection tools in MediaMath are limited and mostly applicable to large scale campaigns. This can be a drawback for users who need more detailed and accurate projections for smaller or niche campaigns.
Difficulties with app targeting: Users have expressed difficulty with app targeting in MediaMath, stating that app IDs have to be manually gathered. This manual process can be time-consuming and may lead to errors or incomplete data when trying to target specific apps effectively.
Based on user reviews, MediaMath receives the following recommendations:
Consider engaging in conversations with the MediaMath team to explore potential opportunities for your business. Use MediaMath alongside other DSPs to diversify your traffic sources. Leverage the support of the account team to address pain points that may not be resolved by the self-service platform. Test out MediaMath as a platform for driving conversions. Evaluate 3 or 4 DSPs to identify the provider with the capabilities and team that best suit your needs. Take the certification course offered by MediaMath for valuable insights. Utilize MediaMath if you handle large amounts of advertising data. Clearly define your goals and custom requirements when selecting a DSP. Employ multiple systems based on client needs, including MediaMath where it outperforms for specific advertisers. Highly recommend MediaMath, particularly for their support and feedback on campaigns. Test the DSP and analyze key performance indicators (KPIs) to optimize results. Allow sufficient time to become familiar with using MediaMath effectively. Employ MediaMath for typical banner display buys and retargeting campaigns. Consider potential delays in receiving answers or deliverables despite strong performance from MediaMath. Utilize the user-friendly MediaMath console and benefit from their supportive team. Ask analysts at MediaMath questions and request previous campaign results similar to yours. Regard MediaMath as a leading DSP highly recommended by users for its quality and extensive support resources. Choose MediaMath as a great platform for large-scale direct response (DR) clients requiring a harmonious blend of human and algorithmic optimization in their campaigns.
Attribute Ratings
Reviews
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
April 25, 2022
MediaMath Buy or Not?
MediaMath develops and delivers digital advertising media and data management technology solutions to advertisers worldwide. Helps with connecting to clients
April 19, 2022
MEDIAMATH AT A GLANCE
The marketing department mostly used MediaMath to help make strategic decisions. They were able to analyze advertising data, user information, prospects, and more on one platform. Greatly helped with marketing campaigns, in creating, launching, and managing. We started using this as a mid sized company of about three to four hundred people.
March 09, 2022
MediaMath Review
We use MediaMath for programmatic display advertising. We switch off between DV360 and MediaMath to run programmatic display campaigns - We decide which platform to run on based on available audiences. Overall, MediaMath is more user-friendly than DV360. Specifically, MediaMath's tagging/tracking process is significantly more seamless than in DV360 since this can be accomplished in the platform on MediaMath where most DV360 tagging has to be done in a separate platform (CM360).
April 17, 2018
TerminalOne - a performance DSP
We use TerminalOne for all our digital media marketing campaigns and for the moment it allows us to get some truly nice insight as their platform is run by MediaMath and is effectively and one of the few which are still open to any development. Indeed we can develop all the internal tools we need to get the maximum insight we are required by our client to provide them.
November 06, 2017
MediaMath | Terminal One | Review by a trader.
We use TerminalOne (T1) to implement programmatic campaigns of display or video. It is used across the organization, specifically by Mobext (mobile) and Affiperf (desktop) that are the departments specialized in programmatic. In my area that is Mobext, the problem with MM T1, is that it doesn't have enough mobile inventory, so most of that is web and not in app.
November 02, 2017
T1 is a solid plaform that integrates well with 3rd parties and provides excellent customer service
Predominantly used by the media team at FRWD. Some departments such as the business analysts had reporting access. TerminalOne MOS allowed us to purchase media pragmatically for our clients. Many of our clients had limited distribution or didn't need national coverage and T1 allowed us to target users in a small geographical area. Additionally, T1 allowed us to target 1st party data and tangibly move customers along a funnel.
May 10, 2014
MediaMath Review (from a former customer)
Score 6 out of 10
Vetted Review
Verified User
We used MediaMath as a bidding platform to set our strategic campaigns and set CPM's and CPC's accordingly. Just I used it, in Online Marketing, to run our display advertising program. It enabled us to increase our new-to-file and helped drive revenue. At that point in time, we were considering creating a display advertising team, to fully manage all bids in real time, which MediaMath supports. They are a great solution if you want to see in and know and be able to control what is going on.
May 09, 2014
Success with MediaMath!
Score 9 out of 10
Vetted Review
Verified User
We use MediaMath's T1 platform to run display, mobile and video campaigns for a wide variety of clients. The platform allows us to use it's advanced technology to optimize campaign performance across the entire digital ecosystem.
May 08, 2014
MediaMath - Efficiency and Excellence
Score 9 out of 10
Vetted Review
Verified User
MediaMath is used at our insurance company as a primary display service platform. As in auto insurance industry, due to high competitiveness, it is hard to find placements, which are optimized to our desired segments and geographic area, MediaMath allowed us to optimize and find those segments for us to target prospects and also in re-marketing campaigns. Its brain gave us constant flow of decent conversions specially via re-marketing pixels.
The data providers and partners at MediaMath also allowed us to plug in a third party segments easily. For example - it can help in integrating Neustar segments in MediaMath to reach a specified segment or desired customers. It gave our Direct Consumer Marketing team a great visibility and plenty of valuable insights of people coming into the funnel and into our auto insurance world.