{"id":14176,"date":"2019-12-31T18:42:53","date_gmt":"2019-12-31T13:12:53","guid":{"rendered":"https:\/\/www.adpushup.com\/blog\/?p=14176"},"modified":"2022-09-02T13:58:22","modified_gmt":"2022-09-02T08:28:22","slug":"header-bidding-analytics-using-data-to-optimize-your-stack","status":"publish","type":"post","link":"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/","title":{"rendered":"Header Bidding Analytics: Using Data to Optimize Your Stack","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"\n<p>In a recent research we conducted, we found that 78% of the top 50 largest digital publishers in the world (by traffic) were using <a href=\"https:\/\/www.adpushup.com\/header-bidding\/\" target=\"_blank\" rel=\"noreferrer noopener\">header bidding<\/a>. Apart from IAB\u2019s ads.txt spec, no other sell-side technology has enjoyed the kind of <a rel=\"noreferrer noopener\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-adoption-three-years-in-review\/\" target=\"_blank\">rapid adoption that header bidding<\/a> has in recent years.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large\"><img loading=\"lazy\" width=\"470\" height=\"422\" src=\"https:\/\/www.adpushup.com\/blog\/wp-content\/uploads\/2019\/12\/246542.png\" alt=\"header bidding analytics\" class=\"wp-image-14182\" srcset=\"https:\/\/www.adpushup.com\/blog\/wp-content\/uploads\/2019\/12\/246542.png 470w, https:\/\/www.adpushup.com\/blog\/wp-content\/uploads\/2019\/12\/246542-300x269.png 300w, https:\/\/www.adpushup.com\/blog\/wp-content\/uploads\/2019\/12\/246542-150x135.png 150w\" sizes=\"(max-width: 470px) 100vw, 470px\" \/><figcaption>Source: eMarketer<\/figcaption><\/figure><\/div>\n\n\n\n<p>There\u2019s a good reason for that.<\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.adpushup.com\/header-bidding-guide\/\" target=\"_blank\">Header bidding has allowed publishers<\/a> to greatly increase their programmatic ad revenue. On average, we see publisher revenues jump by 30-40% once they start using header bidding, with the uplift being even higher in individual cases. Case in point: Header bidding helped <a href=\"https:\/\/digiday.com\/media\/telegraph-used-header-bidding-increase-programmatic-revenue-70-percent\/\" target=\"_blank\" rel=\"noreferrer noopener\">The Telegraph increase its programmatic revenue by 70%<\/a>.<\/p>\n\n\n\n<p>More revenue is one aspect of what makes header bidding so popular with publishers, the other is direct and transparent access to reporting data, at least in the case of <a rel=\"noreferrer noopener\" aria-label=\"client-side header bidding (opens in a new tab)\" href=\"https:\/\/www.adpushup.com\/blog\/client-side-header-bidding-vs-server-side-header-bidding\/\" target=\"_blank\">client-side header bidding<\/a>.<\/p>\n\n\n\n<p>Want to know more about Header Bidding? <a href=\"https:\/\/campaign.adpushup.com\/header-bidding\/\" target=\"_blank\" rel=\"noreferrer noopener\">Click here<\/a>.<\/p>\n\n\n\n<div class=\"poptin-embedded\" data-id=\"63ccd57953160\"><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_79_2 counter-flat ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents:<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #000000;color:#000000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #000000;color:#000000\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#Key_Metrics_Used_in_Header_Bidding_Analytics\" >Key Metrics Used in Header Bidding Analytics<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#1_Bid_rate\" >1. Bid rate<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#2_Win_rate\" >2. Win rate<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#3_Timeout_Rate\" >3. Timeout Rate<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#4_Bid_Latency_Report\" >4. Bid Latency Report<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#5_Discrepancy_Report\" >5. Discrepancy Report<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#6_CPM_Report\" >6. CPM Report<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#7_Revenue_Report\" >7. Revenue Report<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#How_to_Use_Header_Bidding_Analytics_to_Optimize_Your_Stack\" >How to Use Header Bidding Analytics to Optimize Your Stack<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#1_Selecting_Demand_Partners\" >1. Selecting Demand Partners<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#2_Setting_Optimal_Timeouts\" >2. Setting Optimal Timeouts<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#3_Improving_Geographic_Performance\" >3. Improving Geographic Performance<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#4_Fine-tuning_Content_Strategy_Traffic_Sources\" >4. Fine-tuning Content Strategy &amp; Traffic Sources<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#5_Leveraging_Unified_Reporting\" >5. Leveraging Unified Reporting<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#Conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/#AdPushups_Header_Bidding_Solution\" >AdPushup\u2019s Header Bidding Solution<\/a><\/li><\/ul><\/nav><\/div>\n<h2 id=\"h-key-metrics-used-in-header-bidding-analytics\"><span class=\"ez-toc-section\" id=\"Key_Metrics_Used_in_Header_Bidding_Analytics\"><\/span>Key Metrics Used in Header Bidding Analytics<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>In order to understand header bidding reports, publishers need to have a good grasp of the terminology used in those reports. Here are some of the most common metrics provided by header bidding analytics tools.<\/p>\n\n\n\n<h3 id=\"h-1-bid-rate\"><span class=\"ez-toc-section\" id=\"1_Bid_rate\"><\/span>1. Bid rate<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Bid rate signifies how often a bidder makes a bid in response to an ad request. Based on the website audience and the bidder used, bid rate can vary anywhere between 20% to 80%. A low bid rate might indicate a configuration problem with your setup or bidder performance issues, i.e., bidder is too slow to respond or does not have relevant ads for your audience. The overall bid rate directly impacts the competition inside your wrapper and the overall fill rate.<\/p>\n\n\n\n<h3 id=\"h-2-win-rate\"><span class=\"ez-toc-section\" id=\"2_Win_rate\"><\/span>2. Win rate<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Win rate shows how a particular bidder competes with others in the header bidding auction. A high bid rate would mean nothing is the bidder never actually wins the auction. The win rate of a bidder depends on a lot of factors including their pool of advertiser demand, website cookie match rate, and the overall demand for the publisher\u2019s inventory. Together, the bid rate and win rate can indicate how efficient a particular bidder is. (Total Efficiency=Bid Rate*Win Rate)<\/p>\n\n\n\n<h3 id=\"h-3-timeout-rate\"><span class=\"ez-toc-section\" id=\"3_Timeout_Rate\"><\/span>3. Timeout Rate<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>When a bidder fails to return a bid within the timeout limit specific by the publisher\u2019s wrapper\u2014the bid is said to have \u201ctimed out\u201d. Timeout rate indicates how often a bidder times out during an auction. When viewed along with bid rate and win rate, timeout rate can help publishers understand the opportunity\/cost of retaining a particular bidder. Bidders with a consistently high timeout rate harm the site\u2019s UX and the publisher\u2019s revenue generating ability.<\/p>\n\n\n\n<h3 id=\"h-4-bid-latency-report\"><span class=\"ez-toc-section\" id=\"4_Bid_Latency_Report\"><\/span>4. Bid Latency Report<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>For bids that don\u2019t time out, the time taken for the bid request to complete is denoted by latency. Latency by bidder report allows publishers to view bidders based on how fast or slow they are on average. Bidders with high average bid latency can create bottlenecks for your header bidding auction, since the auction closes with the slowest bid before the timeout kicks in.<\/p>\n\n\n\n<h3 id=\"h-5-discrepancy-report\"><span class=\"ez-toc-section\" id=\"5_Discrepancy_Report\"><\/span>5. Discrepancy Report<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Discrepancy is a mismatch between the publisher\u2019s reporting and the bidder\u2019s reporting. There are multiple ways in which header bidding latency can manifest. In one scenario, the header bidder selects an ad, DFP returns the selection ad, but for some reason\u2013the ad is either not served or not detected by the demand partner as being served. There may also be quality\/viewability filters used at the buy-side that the publisher is not familiar with, which disqualify a particular ad that the publisher considers served. Too much discrepancy can create payment delays and big differences in expected and received revenue. This report can help publishers identify instances of discrepancy, so that they can resolve them in a timely manner.<\/p>\n\n\n\n<h3 id=\"h-6-cpm-report\"><span class=\"ez-toc-section\" id=\"6_CPM_Report\"><\/span>6. CPM Report<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>CPM means<a href=\"https:\/\/www.adpushup.com\/blog\/tips-for-ecpm-and-revenue-uplift-by-app-monetization\/\"> cost-per-mille <\/a>and for the publishers, signifies the revenue generated for every 1000 ad impressions sold. CPM is a standard advertising metric that is used widely in reporting and also applies to header bidding auctions. Publishers who are considered to have a premium inventory, i.e., well-defined audience segments, brand safe environment, high demand, are often able to garner relatively high CPMs in header bidding auctions.<\/p>\n\n\n\n<h3 id=\"h-7-revenue-report\"><span class=\"ez-toc-section\" id=\"7_Revenue_Report\"><\/span>7. Revenue Report<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>This is the overall revenue that a publisher has generated. As with CPM reports, most header bidding analytics tools allow publishers to view revenue by bidder, channels (client-side, <a href=\"https:\/\/www.adpushup.com\/blog\/how-does-open-bidding-work-in-google-ad-manager\/\" data-type=\"URL\" data-id=\"https:\/\/www.adpushup.com\/blog\/how-does-open-bidding-work-in-google-ad-manager\/\" target=\"_blank\" rel=\"noreferrer noopener\">Open Bidding<\/a>, tag-based), geography, ad size, and device type, among other dimensions\u2014filtered by custom date ranges. It is important to consider whether the header bidding analytics tool you\u2019re opting for gives you such granular reports.<\/p>\n\n\n\n<h2 id=\"h-how-to-use-header-bidding-analytics-to-optimize-your-stack\"><span class=\"ez-toc-section\" id=\"How_to_Use_Header_Bidding_Analytics_to_Optimize_Your_Stack\"><\/span>How to Use Header Bidding Analytics to Optimize Your Stack<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Having access to header bidding analytics is one thing, but how can publishers use the reporting data to drive optimizations in their ad stack? Here are some ideas.<\/p>\n\n\n\n<h3 id=\"h-1-selecting-demand-partners\"><span class=\"ez-toc-section\" id=\"1_Selecting_Demand_Partners\"><\/span>1. Selecting Demand Partners<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>The choice of selecting <a href=\"https:\/\/www.adpushup.com\/blog\/how-to-find-the-right-header-bidding-partner\/\" data-type=\"URL\" data-id=\"https:\/\/www.adpushup.com\/blog\/how-to-find-the-right-header-bidding-partner\/\" target=\"_blank\" rel=\"noreferrer noopener\">demand partners<\/a> is an important one. Adding too many bidders to your wrapper will send your average latency and timeouts soaring, on the other hand, having too few may lead to low bid competition for your inventory. To keep latency in check, it is recommended to keep the total number of bidders on your website under 10. Most publishers configure somewhere between 4 to 6 partners, we recommend starting with 4 and then adding partners until you hit the sweet spot between UX and bid competition. Publishers can further optimize the demand partner mix by dropping those who consistently return low bid rates and win rates, while scoring high on timeout rates and average latency.<\/p>\n\n\n\n<h3 id=\"h-2-setting-optimal-timeouts\"><span class=\"ez-toc-section\" id=\"2_Setting_Optimal_Timeouts\"><\/span>2. Setting Optimal Timeouts<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Most header bidding wrappers allow publishers to set custom timeouts, which is the upper time limit for auctions\u2014meaning, the auction will close regardless of whether or not all participating bidders have returned a bid. Timeouts help publishers strike a balance between page latency and ad revenue. An aggressive timeout would be around 500-600ms, this timeout favours page speed and user experience above everything else including ad revenue, as many potential bids will get timed out. If you want to fine-tune timeouts for maximizing revenue, try setting 1300-1500ms as your timeout. Once you\u2019ve configured your demand partners, monitoring the timeout rate, bid latency, and average page load speeds will give you the information you need to adjust timeouts accordingly.<\/p>\n\n\n\n<h3 id=\"h-3-improving-geographic-performance\"><span class=\"ez-toc-section\" id=\"3_Improving_Geographic_Performance\"><\/span>3. Improving Geographic Performance<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>All bidders are not created equal. Demand partners typically specialize in one or two geographies, based on where most of their advertiser demand is concentrated. By slicing the CPM and revenue reports by different geographies, publishers can discover which demand partners in their header bidding stack are delivering better results for particular geographies. If most of your traffic comes from a specific geography, you may want to select partners who have a history of delivering the best win rate, CPM, and revenue for that region. On the other hand, if your traffic sources are diverse, you\u2019ll want to make sure that your mix includes bidders who specialize in multiple geographies that are represented by your traffic.<\/p>\n\n\n\n<h3 id=\"h-4-fine-tuning-content-strategy-traffic-sources\"><span class=\"ez-toc-section\" id=\"4_Fine-tuning_Content_Strategy_Traffic_Sources\"><\/span>4. Fine-tuning Content Strategy &amp; Traffic Sources<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Category and page-level reports can help publishers identify the content themes, sections, and individual pages that have the greatest revenue contribution. Using these insights to plan future content can help create a positive feedback loop between your content strategy and ad revenue. For publishers who buy their traffic from other sources, the CPM and revenue report filtered by referral sources can help identify the most profitable acquisition channels. For instance, if you discover that traffic from Twitter consistently delivers higher CPMs and revenue when compared to traffic from Reddit, you will want to increase your spend and engagement on Twitter. For publishers who primarily rely on organic traffic, the referral sources report can present opportunities for link building with websites that are sending them high-quality traffic.<\/p>\n\n\n\n<h3 id=\"h-5-leveraging-unified-reporting\"><span class=\"ez-toc-section\" id=\"5_Leveraging_Unified_Reporting\"><\/span>5. Leveraging Unified Reporting<span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Some header bidding tools that provide GAM integration and automation features also provide analytics dashboards that present a consolidated view of header bidding auction report and performance reports related to Google Ad Manager channels, advertisers, line items, and orders. By bringing together all revenue channels in one place, this consolidated view makes it easier for publishers to know their true source of revenue and make decisions accordingly about how to best segment and sell their inventory based on individual channel\u2019s performance and revenue contribution. This is not a standard feature however, and only offered by a few vendors.<\/p>\n\n\n\n<h2 id=\"h-conclusion\"><span class=\"ez-toc-section\" id=\"Conclusion\"><\/span>Conclusion<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>While even the most basic header bidding stack will help publishers grow their revenue over the baseline, there is a lot of scope for optimization after the initial setup has been configured.<\/p>\n\n\n\n<p>In order to make the most of header bidding and maximise their revenue, publishers need to become familiar with the key performance metrics related to header bidding, and use them to make continuous optimizations to their website, demand partner mix, and auction settings\u2014that is what marks the difference between good and <em>great<\/em> revenue growth.<\/p>\n\n\n\n<h2 id=\"h-adpushup-s-header-bidding-solution\"><span class=\"ez-toc-section\" id=\"AdPushups_Header_Bidding_Solution\"><\/span>AdPushup\u2019s Header Bidding Solution<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Merely deploying header bidding in your ad stack isn\u2019t enough. Consistently optimizing it with technical improvements is the need of the hour. This is what AdPushup\u2019s header bidding solution does. Through our multiple optimization features using data science and machine learning, we help publishers maximize their yield.&nbsp;<\/p>\n\n\n\n<p>With our header bidding solution, you get:&nbsp;<\/p>\n\n\n\n<ul><li>Automatic demand partner selection according to optimum requirements<\/li><li>Smart timeout management<\/li><li>Freedom to bring your own demand<\/li><li>Bid monitoring and discrepancy resolution&nbsp;<\/li><\/ul>\n\n\n\n<p>Read more about our product capability: <a href=\"https:\/\/www.adpushup.com\/header-bidding\/\">Header Bidding<\/a><\/p>\n\n\n\n<p><br><\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>In a recent research we conducted, we found that 78% of the top 50 largest digital publishers in the world (by traffic) were using header bidding. Apart from IAB\u2019s ads.txt spec, no other sell-side technology has enjoyed the kind of rapid adoption that header bidding has in recent years. There\u2019s a good reason for that.<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":18,"featured_media":14195,"comment_status":"open","ping_status":"close","sticky":false,"template":"","format":"standard","meta":{"content-type":"","om_disable_all_campaigns":false,"inline_featured_image":false,"apple_news_api_created_at":"","apple_news_api_id":"","apple_news_api_modified_at":"","apple_news_api_revision":"","apple_news_api_share_url":"","apple_news_coverimage":0,"apple_news_coverimage_caption":"","apple_news_is_hidden":false,"apple_news_is_paid":false,"apple_news_is_preview":false,"apple_news_is_sponsored":false,"apple_news_maturity_rating":"","apple_news_metadata":"\"\"","apple_news_pullquote":"","apple_news_pullquote_position":"","apple_news_slug":"","apple_news_sections":"\"\""},"categories":[6442],"tags":[6436],"apple_news_notices":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v18.5 (Yoast SEO v18.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Header Bidding Analytics: Using Data to Optimize Your Stack | Adpushup<\/title>\n<meta name=\"description\" content=\"Header bidding is a solid revenue driver, but its terminology can be confusing. Learn how header bidding analytics can help you improve your ad revenue.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.adpushup.com\/blog\/header-bidding-analytics-using-data-to-optimize-your-stack\/\" \/>\n<meta name=\"twitter:card\" content=\"summary\" \/>\n<meta name=\"twitter:title\" content=\"Header Bidding Analytics: Using Data to Optimize Your Stack | Adpushup\" \/>\n<meta name=\"twitter:description\" content=\"Header bidding is a solid revenue driver, but its terminology can be confusing. 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