Centralized ad management across Amazon, Facebook, Instagram, LinkedIn, Pinterest, Snapchat, and Twitter
Managing media across closed ecosystems is complex and time-consuming due to a lack of standardization and consistency among walled gardens. With creative, targeting, and reporting workflows fragmented across multiple platforms, teams spend valuable time and effort on manual and tedious tasks. As investment in closed ecosystems continues to grow, marketers need to optimize how they manage that spend to drive business outcomes. We are here to help.
Reach audiences across closed ecosystems from an intelligent command center
Reach new audiences
A closed ecosystems vertical stack
Use first-party data or segments from DMPs and transparently scale your audience using offline consumer attributes and behaviors. Take advantage of proprietary data science and insights from billions of social media interactions to build custom-made audience targeting. Utilize more than 3,000 pre-built segments from leading data providers like Oracle, Experian, and Foursquare to reach specific audiences.
Generate hyper-personalized creative at scale and tailor content to locations, markets, audience segments, product preferences and more. Streamline creative collaboration across teams with permissions for uploading assets, approving creative, or launching ads. Import approved assets directly from content management systems like Opal or Vidmob.
Analyze holistic performance with a consolidated, cross-channel analytics module that integrates native, custom, and third-party metrics. Use visual charts and interactive tables to analyze and act on performance insights and recommendations generated by machine learning and proprietary data science.
Measure performance beyond native publisher capabilities using custom-defined KPIs built on outcomes from website or app analytics, revenue data, brand safety data and more. Link source-of-truth data to closed ecosystem campaign data to measure, report, and optimize based on the metrics that are critical to your business.
Avoid over-or under-spending with a pacing dashboard for monitoring spend and performance KPIs. Create rules or let machine learning auto-optimize bids and budgets based on live outcome data. Optimize campaigns using recommendations generated at the creative, audiences or label level.
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