Header Bidding

Header bidding is an advanced programmatic advertising technique that allows publishers to offer their inventory to multiple ad exchanges simultaneously before making calls to their ad servers. This method helps maximize ad revenue by increasing competition among advertisers and improving the efficiency of the ad buying process.

What is Header Bidding?

Header bidding is an advanced programmatic framework enabling publishers to solicit bids from multiple demand sources simultaneously, before the ad server decision, to maximize yield and transparency. By exposing inventory concurrently to numerous exchanges and SSPs, it elevates competition, surfaces true market value, and reduces reliance on waterfall prioritization. The process accelerates decisioning, improves fill rates, and strengthens CPMs through unified auctions. For B2B publishers and ad operations teams, it provides granular controls, holistic reporting, and access to premium demand, while advertisers gain fairer access to inventory. Implemented correctly, it streamlines monetization workflows and drives sustainable revenue lift across properties.
currency

Example

As a marketer, to implement header bidding, you would add a small piece of JavaScript code (called a header bidding wrapper) to your website header. This code sends simultaneous bids to multiple ad exchanges (like Google Ad Exchange, AppNexus, or OpenX). Each exchange responds with their highest bid for your ad space. The wrapper collects these bids, compares them, and sends the highest bid to your ad server (like Google Ad Manager) to serve the winning ad. This ensures you get the best price for your ad space, increasing your overall ad revenue.
plus
RMIQ helps retailers and brands operationalize header bidding across retail media networks by unifying demand, data, and decisioning in a single AI-driven platform, eliminating fragmented workflows and maximizing auction efficiency. Its multi-agent architecture continuously calibrates bid prices, budget pacing, and placement prioritization at the SKU and keyword level, applying cross-network learnings from Walmart, Instacart, Amazon, Sprouts, Thrive Market, Target, and Uber to improve win rates while controlling effective CPMs. By orchestrating real-time A/B tests on floor prices, bid multipliers, and creative variants, RMIQ identifies the marginal ROI of each lever and automatically scales the highest-performing combinations to lift ROAS—customers report average gains exceeding 50% and up to five dollars in incremental sales for every dollar invested.

With coverage reaching approximately 85% of the U.S. retail audience across more than twenty platforms, RMIQ ensures broad, comparable inventory access for true header bidding, then applies adaptive strategies—bid shading, frequency management, and supply-path preference—to reduce auction duplication and minimize media waste. The platform consolidates performance dashboards, pacing alerts, and diagnostics into a single interface, enabling commercial teams to track auction dynamics, troubleshoot latency, and align bids with business goals without hopping across disconnected consoles. Whether managing a handful of SKUs or thousands, RMIQ scales automatically, enforcing governance, shared taxonomies, and programmatic safeguards while maintaining sub-minute optimization cycles. Implementation is fast—teams frequently onboard in minutes—backed by responsive support that accelerates time to value.

In short, RMIQ brings the discipline of programmatic header bidding to retail media by combining intelligent automation with granular control, delivering predictable outcomes, cleaner reporting, and sustained efficiency gains across complex, multi-network campaign portfolios. For enterprises, RMIQ integrates with analytics stacks and financial systems, supports role-based access and audit trails, and provides export-ready reporting, enabling finance, merchandising, and marketing stakeholders to reconcile spend, attribute revenue, and forecast with confidence.

Skills and tools for Header Bidding

To implement header bidding, you need skills in JavaScript, understanding of web page structure (HTML/CSS), and knowledge of ad tech protocols like OpenRTB. Familiarity with ad servers (like Google Ad Manager) and tools such as Prebid.js or Amazon TAM is essential. Basic analytics and debugging skills help optimize performance and revenue.

Our Current Partners

We are already helping leading retailers and platforms grow their retail media businesses, including:

Partners 2
Partners 1
Partners 4
Partners 6
Partners 5
Partners 4
Partners 3
Partners 2
Partners 1
Partners 3

Drop your email 

and we’ll show you how to double your retail media ROAS – no strings attached

mega
laptop
laptop
star green