Enhancing Digital Advertising Through Technological Innovation

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Challenge

MediaMath, a pioneering AdTech entity, excels in providing comprehensive digital marketing solutions to over 3,500 advertisers and brands globally. Their robust portfolio spans programmatic media buying, data management, audience segmentation, and targeting tools. The Custom Solutions division in the UK, our collaborative partner, has acknowledged the success of numerous projects executed by our team.

MediaMath's decision to opt for the staff augmentation model was driven by the necessity for specialized AdTech expertise and the desire for enhanced operational flexibility. This model offered a seamless extension of their in-house team, allowing for a dynamic scaling of resources in alignment with project demands.

Tamuna Basaria, Head of Sales: The partnership was underscored by Geomotiv's commitment to operational excellence, which manifested through agile methodologies, transparent communication, and a deep understanding of MediaMath's strategic objectives.

MediaMath GEOR (Global Employer of Record)

Solution

Our journey with MediaMath began over five years ago, embarking on a mission to create an automated technical solution for advertising campaigns. The need was for a team adept in AdTech to augment the platform's functionalities and introduce innovative features, a role Geomotiv was poised to fill.

Our team has developed dozens of sub-solutions of varying types and complexity over more than 5 years of working with MediaMath. These included:

- White-label Ad Management System: Tailored for clients desiring a simplified version of MediaMath's DSP, this system retained core functionalities while eschewing unnecessary complexity, offering unparalleled flexibility and user-centric adaptability.
- Scheduler System for Ad Campaigns: Embedded within the client's DSP, this system provided a user-friendly interface for managing advertising schedules, employing intricate logic and a comprehensive feature set for schedule manipulation.
- Graphical Ad Campaign Analysis: This standalone module allowed for the visual representation of campaign data, aiding in the intuitive analysis of advertising outcomes.
- AdTech Entity Validator: A Python-based tool enabling MediaMath to authenticate campaign-related data, this validator is accessible as a reusable component, enhancing efficiency across teams.
- Automated Testing Package: Developed to enhance testing efficiency, this package, stored in a private repository, offers a standardized approach to software validation across teams.
- Feedback Collection Website: This platform streamlines user feedback for MediaMath's AdTech solutions, directly channeling insights to the support team for analysis and action.
- Development Boilerplate: To expedite future developments, a standardized project template was created, housing ready-to-use modules and accelerating the development process.

By integrating Geomotiv's specialized professionals directly into their workflow, MediaMath capitalized on the opportunity to bridge skill gaps efficiently, fostering a collaborative environment that accelerated innovation. The staff augmentation approach provided the dual benefits of maintaining project momentum while ensuring that the augmented team was fully immersed in MediaMath's company culture, thereby facilitating a unified approach to achieving project objectives.

Execution Phases: Business requirement analysis and architectural design set the foundation for the project. Agile development cycles facilitated iterative progress, encompassing development, testing, and deployment phases, culminating in the release.

Results

Our partnership with MediaMath exemplifies the power of collaborative innovation in AdTech. The suite of solutions delivered has not only enhanced the operational prowess of MediaMath's platforms but also significantly enriched the advertiser experience, fostering loyalty and operational efficiency. The strategic development initiatives have poised MediaMath for sustained success, minimizing future maintenance costs and streamlining development workflows.

Efficiency metrics:
- Cooperation: 100%
- Duration: 5 Years
- Projects Delivered: 70% (12 projects)
- Saved Efforts: 45% (Operational costs)

The Geomotiv-MediaMath collaboration is a testament to how strategic partnerships can drive technological advancement and industry leadership in the AdTech domain, setting new benchmarks for innovation and user engagement.

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