Groundhog Technologies vs. MediaMath

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Groundhog Technologies
Score 0.0 out of 10
Mid-Size Companies (51-1,000 employees)
Groundhog Technologies was founded in 2001 as a spin-off from the Massachusetts Institute of Technology. Their Mobility Intelligence Platform analyzes the busiest mobile networks with the goal of saving operators millions of dollars, increasing customer satisfaction, and generating new revenues. The solution applies a combination of Chaos Theory-based Geolocation models and Human Mobility Deep Learning Algorithms to transform raw network data into monetizable assets. With that…N/A
MediaMath
Score 7.4 out of 10
N/A
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.N/A
Pricing
Groundhog TechnologiesMediaMath
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Groundhog TechnologiesMediaMath
Free Trial
YesNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Groundhog TechnologiesMediaMath
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Score 9.0 out of 10
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Score 9.0 out of 10
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User Ratings
Groundhog TechnologiesMediaMath
Likelihood to Recommend
-
(0 ratings)
7.4
(0 ratings)
Likelihood to Renew
-
(0 ratings)
7.0
(0 ratings)
User Testimonials
Groundhog TechnologiesMediaMath
Likelihood to Recommend
No answers on this topic
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.
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Pros
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  • 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.
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Cons
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  • 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.
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Likelihood to Renew
No answers on this topic
At this point, I know there are better options out there for OUR use case. This is not true of everyone, so I don't want to give them a zero because I don't like their tool or value proposition. They are a great tool, for what they do, and have a great group of people running things and providing support.
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Alternatives Considered
No answers on this topic
The main DSP I've used beyond TerminalOne MOS is DoubleClick Bid Manager. DBM has stronger 3rd party data from a deterministic standpoint as one can target Google users based on age and gender. Additionally, DBM provides access to YouTube inventory, which is a major plus given it is the primary place users consume video content.
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Return on Investment
No answers on this topic
  • Although Display is not an end-of-funnel tactic/ conversion-driven, it's great for brand awareness.
  • MediaMath has allowed us to reach niche audiences with their targeting capabilities
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ScreenShots

Groundhog Technologies Screenshots

Screenshot of Processes Consumer Browsing Behaviors | Builds an audience by utilizing first-party dataScreenshot of Intelligent Optimization | Proprietary machine learning algorithms help to optimize campaign performance through continuous learningScreenshot of Smart Segmentation | Utilizes geolocation, point of interest and internet browsing behavior to build audiences