AdOpsOne Launches Ai-Powered Ad Operations Service for Digital Content Publishers in the US
AdOpsOne, a division of Affinity Global Inc., announced it has launched its AI-powered ad operations assistant for ad-supported content publishers in the United States.
For publishers wishing to reclaim control of their display ad monetization from third-party networks, having in-house ad operations is a prerequisite. However, given the current economic uncertainties, that additional cost could be difficult with frozen hiring budgets. For publishers in this position, AdOpsOne provides a turnkey “Ad-Ops-as-a-Service” solution. AdOpsOne manages each client’s Google Ad Manager (GAM) with complete transparency, using artificial intelligence to automate ad ops strategies that have increased publishers’ monetization efficiency (eCPMs) by up to 300 percent.
Recommended AI News: Delinea Reduces Ransomware Risk for Customers Using Azure AD Government, Makes Secure Remote Access More Seamless
“With our unique combination of human expertise and artificial intelligence, our hybrid approach has already helped publishers in Europe and India grow revenue significantly,” said AdOpsOne co-founder and CEO Lavin Punjabi. “We’re able to achieve this without changing the ad layouts/sizes or modifying the publisher’s core web vitals. We’re eager to share our proven model with publishers in the US and look forward to providing them with the same level of talent and machine learning technology being used by the largest monetization networks.”
AdOpsOne solves complex operational challenges with AI to enable publishers to manage risk and optimize revenue by automating decisioning and streamlining workflows — all from within the publisher’s Google Ad Manager (GAM) account. By having a dedicated ad ops manager to run the program, publishers can maintain (or develop) demand partnerships while maintaining complete visibility over all their monetization metrics (e.g. impressions, clicks, revenue, viewability, advertiser, agency and demand platforms buying the inventory, etc). Publishers who have access to all of their monetization data have a more complete view of the value cycle between them, consumers and advertisers.
AdOpsOne operates like an in-house ad ops team for its publisher clients, or works in tandem with their existing team to develop a customized revenue optimization strategy around the publisher’s unique KPIs. This may include automating critical administrative tasks such as managing floor pricing for SSPs to handling prebid and header bidding tags. In addition, AdOpsOne brings all the monetization data from GAM, bidders, ad networks and any monetization partners across display, native and video in one console with summarized views of key metrics.
Recommended AI News: Borrego’s Web-Based O&M Customer Portal Provides Real-Time Actionable Insights into Solar Project Operations
“We built our model on a fundamental principle of transparency,” said Punjabi. “There are no surprises because we operate from within our clients’ existing GAM, which allows them to see what’s happening across SSPs, ad networks and other monetization partners all from a single dashboard.”
AdOpsOne is a fee-based service, so publishers do not have to surrender a revenue share as their businesses scale. That’s a choice AdOpsOne made because it works with publishers of all sizes and believes that its technology and white-glove service should be accessible to any organization seeking to optimize costs in an increasingly uncertain economy.
AdOpsOne has driven up to a three-fold lift in eCPMs for publishers because it manages all things ad-operations for the publisher. AdOpsOne levels the playing field for publishers, allowing them to automate their most resource-intensive admin tasks and enjoy complete transparency and control.
Recommended AI News: Husqvarna Affirms its Commitment to Autonomous Mowing and Leadership in Robotics as a Service (RaaS) with Expanded Investment in Robin Autopilot
[To share your insights with us, please write to sghosh@martechseries.com]
Comments are closed.