Most ad operations departments are facing two major problems: having up-to-date inventory insights when generating quotes and bringing together first-party data and third-party data in a new cookie-less world. With disparate data sources and a major shift in the market, publishers are clamoring for data clean room solutions to comply with security rules around consumer data.
Data clean rooms allow advertisers to access and analyze valuable first- and third-party data without compromising user privacy. In a data clean room, publishers can securely share their data with advertisers without revealing personally identifiable information (PII) about their users. That means better insights into the target audience, ad personalization, and improved campaign performance. But how do you arrive at those capabilities?
With our ad inventory management and operations solution and industry-specific approach to best practices for publishers and advertisers, we can help you reach a more efficient inventory management process while abiding by secure use of private consumer data.
With our ad inventory management and operations solution, you can optimize ad space usage, generate more revenue, enhance user experience, and reduce operational costs while gaining valuable insights from first- and third-party data and protecting user privacy and complying with regulations.
Visibility to ad space inventory is crucial for successful inventory management, allowing publishers to make data-driven decisions on allocation, pricing, and sales. Real-time insights optimize the inventory process, boosting sell-out rates and sales efficiency.
Publishers can track the performance of their ad inventory — allowing them to identify trends and patterns in historical sell-out, consumption curves, and seasonality, which can further help forecast inventory demand with greater accuracy.
Demonstrate value to advertisers and build stronger, more collaborative relationships by offering real-time analytics, using data to inform strategy, providing customized reporting, and collaborating on optimization.
By leveraging a data clean room to bring together first- and third-party data in a cookie-less world, publishers can share generalized insights on consumer behavior while still complying with user privacy standards.
Automated recommendations for similar-priced or audience-matched inventory when the originally selected inventory is sold out or nearly sold out, based on performance data.
Surfacing the right insights for sales requires access to data across multiple departments and systems. While an Order Management System may already integrate with Salesforce, it often lacks delivery data connections due to delivery data’s sheer mass and smaller grain compared to Salesforce objects. When delivery data is housed in Snowflake, the grain can be specified and easily surfaced in a BI tool such as CRM Analytics or Tableau, enabling sellers to see the high-level delivery data they need for their sales cycle without changing the object structure of core Salesforce.
How do you shed light on important, relevant insights like customer buying patterns and close ratio? All too often key data is siloed or outdated. How do you see if you’re on pace to meet internal goals and upfront commitments? Do you have the data analytics and actionable insights to support significant findings like at-risk relationships? Get to know our expertise in Salesforce across ad sales, ad operations, and self-service advertising and analytics.
Atrium worked with a major subscription streaming service to deliver a better customer experience and revenue generation with forecast and inventory management optimization.
Using CRM Analytics, Snowflake, and Sales Cloud, we built highly interactive dashboards for both the sales and revenue operations teams. We configured a Time Series Forecast model along with a moving average forecast to support analysis. Not only can our customer now filter and isolate virtually all inventory options to drive revenue — they now have valuable performance insights from virtually every angle of their business, including product, market, and time period.
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