TrustRadius Insights for MediaMath are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.
Pros
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.
MediaMath develops and delivers digital advertising media and data management technology solutions to advertisers worldwide. Helps with connecting to clients
Pros
advertising media
data management.
technology solutions to advertisers worldwide
Cons
audience segmentation
programmatic marketing
identify prospects across various online platforms and device types.
Likelihood to Recommend
MediaMath is a cloud-based digital advertising platform designed to help marketing teams handle advertising data, audience segmentation, and programmatic marketing on a unified platform. It allows businesses to create, launch, and manage marketing campaigns and identify prospects across various online platforms and device types.
VU
Verified User
Analyst in Finance and Accounting (10,001+ employees)
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.
Pros
Prospecting
Audience segmentation
Programmatic marketing
Cons
Learning Curve
3rd Part Integration
Granularity
Likelihood to Recommend
I am not part of the marketing team. I am part of the Analytics team that helped marketing with Media Math. I thought it was well suited for the marketing purposes previously described but also felt that you could accomplish the same with various other systems. The support team was great and very responsive though. That is a huge pro.
VU
Verified User
Analyst in Information Technology (1001-5000 employees)
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).
Pros
MediaMath's tagging process is the easiest out of other programmatic display providers we work with
MediaMath has a wide range of audience selections to choose from for campaign targeting
We have had good experiences with the customer support MediaMath provides
Cons
Although easier than other DSPs, MediaMath's tagging process could be more streamlined
The reporting section could be more sophisticated/thorough - there are little to no visualizations currently
Platform itself looks a little outdated
Likelihood to Recommend
We have had a positive experience with MediaMath and prefer it over other DSPs we work with. We choose to run programmatic display campaigns on other DSPs, such as DV360 if they have better audience selections for our current needs. MediaMath could expand its audience selections to capture more business.
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.
Pros
Good operating system with a constant effort to integrate all the latest technology needed to perform well in digital media buying.
Really attentive and well-trained platform specialists to answer all the questions a media trader can ask about media buying on the platform.
Cons
Data integration and priority DMP are still lagging with the competition but a lot of efforts have been done in this field to bridge that gap.
The documentation of their API isn't always updated correctly so some functions are either obsolete or changed completely.
Likelihood to Recommend
TerminalOne is a really good tool for all our digital media marketing campaigns and for any performance campaigns in general, with a real grip of what is the main drive to performance. It is easy to develop and plug new tools to make sure all is working well. It is difficult to get into with no knowledge of computing programs but it is easy to bridge that gap.
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.
Pros
Targeting: it has different options to segment the audience: contextual, day, technology, and location by country, city or geofence through Factual.
Appstore: You have extra tools to analyze or do extra things for your campaigns, for example, the bidder insights, with this you have a general panorama of the PMPs implemented, you can see info like matches, bid request, etc. Another app is Factual, in which you can geofence specific locations, for example, all the Walmarts even if you don't have the coordinates.
Reports: It has all the detailed reports that you can wish in a DSP, for example, site transparency, performance, technology, reach and frequency, win rate, etc.
Cons
Inventory: a low in-app inventory
You can't see the results of your campaigns in the same day, you need to wait until next day to see impressions and clicks and general results of your campaigns.
Likelihood to Recommend
TerminalOne Marketing Operating System is very useful for display and video campaigns, for branding or traffic, but in performance isn't quite good because you have to optimize all by impressions, nowadays there are DSPs that allow to you optimize by CPC or other things since the beginning.
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.
Pros
Integration with 3rd party partners such as Factual, Grapeshot and more, helping bring in sophisticated targeting abilities
Optimize to different objectives
Listening to platform feedback and integrating it into product road map
Customer support is excellent
Cons
Bulk Editing was limited to only some targeting parameters
Projection tools are limited and typically only apply to large scale campaigns
App targeting is difficult as app IDs must be manually gathered
Likelihood to Recommend
Terminal1One MOS offers a "DMP lite" that can help advertisers begin to grow their 1st party data without leveraging a separate DMP. As precise targeting becomes increasingly important, advertisers must begin to cultivate audiences that they can then take action on in the future. Additionally, if a client requires intense customer support, TerminalOne MOS is one of the best in the business.
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.
Pros
Managing Bids - This is great if you want to take your program by the horns and fully control it.
Level of Detail - MediaMath goes into the nitty-gritty of bidding and segmentation to allow you to customize to your hearts' content.
Customer Service - The support team at MediaMath (at the time that I used it - 2012-2013) was fast, concise, and super helpful in understanding what my problems were, in addition to providing suggestions on how to manage the program even better.
Cons
MediaMath was pricy for what it is.
MediaMath is only one part of the tool - You still need an ad server, such as Mediaplex, to serve the ads on.
There are bigger players in the game now, such as Conversant, ValueClick, DoubleClick, etc that have a larger reach.
Likelihood to Recommend
If you are piecing together your display advertising program, MediaMath is a good option as a part of your tool set. Be sure to understand going into it what other tools you need and determine pricing accordingly.
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.
Pros
Drive performance at scale
Accomplish both branding and direct response goals
Provide detailed analytics and reporting
Drive e-commerce sales
Cons
Work flow could be better managed within the system.
Likelihood to Recommend
I would not recommend for a client that wanted to run native ads or do an expansive site take-over.
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.
Pros
It helps in managing and optimizing prospecting and re-marketing campaigns extremely efficiently using multiple source of data providers.
It is easy to integrate with display servers, data providers, and also other partners which make campaigns really efficient and optimize your CPA goals. MediaMath also provides you training via New Marketing Institue which is very helpful.
It also keeps on innovation with respect to partnerships and on boarding tools such as display collision detection tools. It was exciting to see that how easy it is to work closely with accounts team and they have amazing hands on working on these tools.
Cons
There should be a little more information on Partner Market Place of how we can best use these partners. There are a few partners who are unknown but are valuable to a few organizational and campaign needs.
Furthermore, there should be a quick response from the sales team. I joined a new company this April and wanted to on-board and start an initial conversation with MediaMath. But got a delayed reply.
MediaMath should organize more events to mix up with partners and know them well face to face and speak/engage with them.
Likelihood to Recommend
The pricing model of MediaMath with respect to agencies should be a little different, since you have to consider that agencies have various sets of clients with different needs. Not all agency clients have equal budgets to spend. So the platform fee should not be flat rather there should be a formula with respect to spend level and use for each client at agency level.
