Server-side header bidding is key to reducing latency and improving scalability in programmatic advertising. While Google’s Open Bidding and Amazon’s UAM offer proprietary solutions, they often lack transparency and control.
Prebid Server, an open-source alternative, addresses these issues with transparency, flexibility for custom setups, and community-driven improvements. However, it comes with challenges like complex implementation and potential reliance on third-party providers, which may limit visibility and introduce data inconsistencies.
In this article, let’s understand it all.
Why Prebid Server?
Prebid Server offers publishers a powerful solution to scale demand and improve programmatic performance, addressing key challenges in modern advertising setups. Its ability to seamlessly integrate multiple SSPs (Supply-Side Platforms) without being limited by latency is a major advantage, enabling up to 40% latency improvements compared to client-side configurations.
In a client-side setup, the browser manages auctions and sends multiple requests to the ad server, increasing latency. A server-side setup, by contrast, requires only a single request, shifting the auction process to the server, where it’s faster and more efficient. For publishers aiming to enhance both scalability and performance, Prebid Server is an ideal choice.
Prebid Server also excels in monetizing AMP (Accelerated Mobile Pages), which rely on the RTC (Real-Time Config) framework. This framework imposes strict limitations on header bidding, such as restricting requests to five and enforcing short 1000ms timeouts. Prebid Server overcomes these constraints with unified auctions and its ability to send requests to as many demand partners as needed. Its server infrastructure is significantly more robust than a browser, ensuring fast auctions without timeouts, unlocking greater revenue potential for publishers monetizing AMP pages.
Recent enhancements to Prebid Server have further solidified its position as a go-to solution for publishers:
Expanded Demand Opportunities: The latest version (v3.2.0) includes support for new adapters, such as Nativo, broadening access to demand partners.
Enhanced GDPR Compliance: Improved support for GDPR compliance ensures responsible user data handling, meeting global privacy standards.
Better Synchronization: Updates to user sync URLs enhance platform synchronization, resulting in smoother operations across ad ecosystems.
With these capabilities and updates, Prebid Server empowers publishers to overcome latency, scalability, and privacy challenges while maximizing revenue potential.
How does Prebid Server work?
Here’s an overview of how Prebid Server works for banner and video ads:
Banners
The prebid server parses the request and holds the auction
The response is sent back to the browser
Prebid.js also passes ad server targeting variables to the page, the page forwards the variables to the ad server.
When an ad wins, the ad server responds with the Prebid Universal Creative.
The Prebid Universal Creative renders the display creative
Video
Prebid.js is configured to run the header auctions on the server-side.
When a page loads, Prebid Server parses the request and holds the auctions (not Prebid.js as it happens on client-side bidding).
VAST XML bid responses are then stored in Prebid Cache.
Prebid Server sends the results and Cache ID to the Prebid.js on the page.
Prebid.js passes the bid information to the player and the player calls the ad server (GAM).
When a header bidding partner wins, the ad server sends the URL from which to retrieve the VAST XML — back to the video player.
The player pulls the winning VAST from the Prebid Cache and displays it appropriately.
Hosting Options: Self-Hosted vs. Partner-Supported
When implementing a Prebid Server, you have two primary options:
Self-Hosted Prebid Server: You take full control of the server infrastructure, configuration, and maintenance.
Partner-Hosted Prebid Server: You leverage a pre-built server solution from a monetization partner, simplifying the setup and management process.
Consider the following table to weigh the pros and cons of each approach:
Feature
Host it Yourself
Leverage Partner's Prebid Server
Server Infrastructure
Self-managed
Partner-managed
Prebid.js Integration
Manual configuration
Integrated by partner
Adapter Configuration
Manual configuration
Integrated by partner
Cost
Higher upfront and ongoing costs
Lower upfront costs, potential revenue share
Technical Expertise
Requires strong technical expertise
Minimal technical expertise required
Time to Market
Longer setup time
Faster setup time
SSP Partnerships
Requires direct partnerships
Partner handles SSP integrations
Scalability
Requires proactive scaling
Partner handles scaling
Maintenance
Requires ongoing maintenance and optimization
Partner handles maintenance and optimization
Is there any Privacy Compliance with Prebid Server?
Prebid Server is designed to comply with major privacy regulations:
GDPR: Reads TCF 2.0 and 2.2 signals to enforce necessary actions, managing user consent for data access, basic ads, and other purposes.
CCPA: Supports reading the US Privacy Consent String and works with AMP (Accelerated Mobile Pages) for cross-platform compliance.
COPPA: Detects COPPA flags and takes appropriate actions to safeguard children's privacy.
Activity Control Infrastructure: Allows publishers to override privacy-sensitive activities, providing a centralized system for managing compliance across diverse regulations.
Recent Prebid 9.0 updates as well bring significant advancements in user privacy control and data management, empowering publishers to navigate the evolving privacy needs. Here's a breakdown of the key updates:
Simplified Consent Management:
TCF Focus: Prebid's GDPR modules have been renamed to TCF (Transparency and Consent Framework) modules. This reflects their alignment with industry-wide standards rather than specific regulations. It clarifies the modules' purpose and functionality for all users.
USP Streamlining: The USP (US Privacy) string is no longer included in consent metadata. The USP module itself is removed from the recommended build. This simplifies the consent process and ensures compliance with evolving privacy regulations.
GPP 1.0 Retirement: Support for GPP (Global Privacy Platform) 1.0 has been removed from the GPP module. This aligns with updates to the privacy framework.
Enhanced Publisher Control:
Publisher Purpose Consent: Modules like sharedid now rely on publisher purpose consent instead of vendor consent within the TCF object. This change gives publishers more direct control over user data management and consent.
Any Shortcomings of the Prebid Server?
Discrepancy: Due to the fragmented nature of the server-side setup, the discrepancies in impressions, revenue, etc, is much higher with the prebid server. You need to have a strong and stable server-side setup to ensure minimum discrepancies.
Troubleshooting: Troubleshooting in the Prebid server can sometimes be a huge headache. The problem exists partly because it is open-source, and partly because it is server-side. This is why dealing with Prebid Server can be time-consuming.
Expensive: You need a server for server-side auctions. Building and managing a server can be expensive, especially when you are doing it yourself.
Reduced Bid Prices: User syncing complexities inherent to server-side header bidding, which lead to lower match rates for ad buyers. This limitation reduces the volume of data available to inform ad bids, potentially resulting in lower bids for publishers' inventory.
What’s the Ideal Setup with Prebid Server?
To optimize Prebid Server for peak performance, strategically allocate demand partners, prioritize top performers on the client-side based on response time, bid rate, and win rate, while channeling slower-responding partners to the server-side.
Expand the bidder pool by integrating non-Prebid demand sources like Amazon's UAM and Google's Open Bidding. Also, for AMP pages, leverage Prebid Server to maximize revenue while adhering to strict performance benchmarks.
Consider a hybrid approach to balance latency and revenue to maintain top performers on the client-side while migrating others to the server-side.
To further refine your setup, implement dynamic timeout adjustment and AI-powered floor pricing to optimize auctions and maximize ad revenue. Finally, leverage modular frameworks to integrate specific plugins or modules, unlocking advanced header bidding features for enhanced revenue and user experience.
Remember that optimization is an ongoing process. Regularly monitor performance metrics to identify areas for improvement. By continuously analyzing your setup, you can ensure that both ad revenue and user experience remain consistently exceptional.
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