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Marny Road

Marny Road combines the largest audited database of out-of-home (OOH) advertising assets with geospatial audience data, enabling precise planning and optimization of advertising campaigns at the longitude and latitude level. This approach addresses the complexity of evaluating OOH media by providing data-driven insights that maximize return on investment and streamline client communication.

Philadelphia, United StatesFounded 2024250+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Evaluating out-of-home (OOH) advertising is complex due to fragmented media ownership, non-standardized operating procedures, and a lack of comprehensive data. This complexity makes holistic planning, buying, and optimization difficult, potentially leading to inflated CPMs and hidden supply chain costs.

Solution

Marny Road offers an AI-powered platform for planning and optimizing OOH advertising campaigns. By combining a large, audited database of OOH assets with geospatial audience data at the longitude and latitude level, Marny Road enables precise targeting and strategic spend optimization. The platform analyzes each OOH asset's ability to reach the target audience, balancing impact and cost to determine the optimal allocation of advertising spend. Marny Road provides data-driven recommendations, insights, and optimizations, empowering teams to make informed decisions and maximize ROI.

Target Audience

Marny Road primarily targets marketers and advertising agencies seeking to improve the efficiency and effectiveness of their OOH advertising campaigns.

Features

  • Largest audited database of OOH advertising assets.
  • Geospatial audience data integrated at the longitude and latitude level.
  • AI-powered campaign planning and optimization.
  • Strategic spend optimization based on audience reach, impact, and cost.
  • Easy-to-understand dashboards for data analysis and strategy.
This profile is AI-generated and may contain inaccuracies.