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No More Data Headaches at Mediahub
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
The Challenge
Mediahub, a global media planning and buying agency, was facing daily operational difficulties with handling ad performance data for multiple clients coming from multiple advertising platforms. The agency had employed a full-time data engineer to build an in-house solution with API connectors to fetch data from popular ad platforms and store it into the internal database. However, these APIs would often change or update, sometimes overnight and without prior warning, which would break these connectors. The data engineer had to spend a lot of time and effort in fixing them.
About The Customer
Mediahub is a global media planning and buying agency of the MullenLowe Group network, a part of the multinational advertising and marketing company IPG. Launched in 2005, the agency has over 900 employees in 10 countries, and serves clients such as Western Union, Netflix, Formula E, Harley-Davidson, Dropbox, Pinterest, and Twitch. In 2019 Mediahub was named “Media Agency of the Year” by Ad Age. The agency is specialized in providing media data analytics solutions.
The Solution
Mediahub introduced Adverity as the solution for data integration. Data from advertising platforms such as Google Campaign Manager or Facebook is collected and integrated in Adverity, and then sent to a database hosted on AWS, where it is transformed and sent to various analytics and data visualization tools used throughout the agency. At the moment when the implementation started, Adverity was actually missing one of the key data connectors for Mediahub. However, Adverity quickly built this connector, and within a matter of weeks they did it. Even while building the connector Adverity provided an interim solution to get the data from this platform into the system, with only a slightly lower level of automation.
Operational Impact
Quantitative Benefit
