{"id":463,"date":"2024-06-11T14:34:47","date_gmt":"2024-06-11T14:34:47","guid":{"rendered":"https:\/\/coolmedia.co\/?p=463"},"modified":"2024-06-11T14:34:47","modified_gmt":"2024-06-11T14:34:47","slug":"attribution-101-what-gets-credit-for-your-conversions","status":"publish","type":"post","link":"https:\/\/cool.co\/media-and-attribution\/attribution-101-what-gets-credit-for-your-conversions\/","title":{"rendered":"Attribution 101: What Gets Credit For Your Conversions?"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Back in the days before GPS on every phone, drivers on long trips often had to print out directions on paper before they left. If you\u2019re one of the folks who remembers this period, you remember what a pain it was if you went off-course, took the wrong exit, or made the wrong turn.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The piece of paper you printed out six hours ago didn\u2019t automatically recalculate your course, after all, leaving you scrambling to get back on a proper heading. That meant digging around in a road atlas if you had one (and praying it was updated enough), and trying to figure out where you were. Ultimately, these misadventures often ended with a stop at a gas station to get directions back to the highway.<\/span><\/p>\n<p><span style=\"font-weight: 400\">In short, having accurate, real-time data is a game-changer when it comes to getting where you want to go.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This is especially true in Connected TV (CTV) advertising campaigns, where reliable real-time <\/span><a href=\"https:\/\/www.insticator.com\/first-second-third-party-data-what-it-is-how-to-collect-it\/\"><span style=\"font-weight: 400\">data<\/span><\/a><span style=\"font-weight: 400\"> is often the dividing line between success and failure. With real dollars on the line, how do you reach your goal?<\/span><\/p>\n<p><span style=\"font-weight: 400\">In this blog post, we\u2019re talking all about accurate metrics, attribution, and why they\u2019re so important for success in CTV\/OTT advertising. Read on:<\/span><\/p>\n    <div class=\"table-of-contents\">\n        <h3>Table of contents<\/h3>\n        <ol id=\"toc\"><\/ol>\n    <\/div>\n    \n<p><b><i>Case Study:<\/i><\/b><span style=\"font-weight: 400\"> How Cool Media provided an in-depth brand analysis revealing a 21% ad recall rate for Suzuki. <\/span><a href=\"https:\/\/coolmedia.co\/wp-content\/uploads\/2024\/05\/Cool-Media-Case-Study-Suzuki.pdf\">Read More<\/a><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">What is CTV Attribution?<\/span><\/h2>\n<p><span style=\"font-weight: 400\">CTV Attribution is a lot of different things to a lot of different people, but the simplest definition is <\/span><i><span style=\"font-weight: 400\">drawing a line between your advertising efforts and the outcomes they drive.<\/span><\/i><span style=\"font-weight: 400\"> Essentially, proper CTV attribution is the difference between \u201ccorrelation\u201d and \u201ccausation.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400\">In old-school models, being able to accurately connect conversions back to specific <\/span><a href=\"https:\/\/oko.uk\/blog\/ad-frequency-what-is-it-the-little-known-challenges\"><span style=\"font-weight: 400\">ads<\/span><\/a><span style=\"font-weight: 400\"> was a somewhat opaque process. The \u201cspike analysis\u201d model basically measured whether there was a spike in traffic to your website immediately following the airing of an ad.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">This worked great with linear TV, where the ad you purchased aired at the same time everywhere it showed, but with CTV\u2019s distributed viewing model, spikes may not be obvious. And even if they are spikes, they may come from sources different from where you ran your ads \u2014 how do you separate mere coincidence from a new customer responding to an ad they saw?<\/span><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">Why Is CTV Attribution Important?<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Better, more-accurate CTV attribution is critical because it helps advertisers make informed decisions based on consumer behaviour. With accurate CTV attribution, advertisers can:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Track Campaign Impact:<\/b><span style=\"font-weight: 400\"> getting more conversions is good, but knowing where those conversions are coming from is better.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Reach Specific Audiences:<\/b><span style=\"font-weight: 400\"> better attribution also means better targeting. As you realise your ads are hitting harder with a specific demographic, you can double down on your messaging.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Improve Efficiency:<\/b><span style=\"font-weight: 400\"> Knowing where to spend your money also means knowing where <\/span><b>not<\/b><span style=\"font-weight: 400\"> to spend it.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Gain Insights:<\/b><span style=\"font-weight: 400\"> all of this allows you to A\/B test creatives more effectively, to hone your messaging and improve how you talk to your target audience.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Rather than flying blind, accurate CTV attribution allows you to know <\/span><b>what\u2019s<\/b><span style=\"font-weight: 400\"> working, with <\/span><b>who,<\/b> <b>where<\/b><span style=\"font-weight: 400\"> to find them, and <\/span><b>why<\/b><span style=\"font-weight: 400\"> it\u2019s effective. I\u2019d say you can\u2019t put a price on that, but you absolutely can.<\/span><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">The Limits Of Attribution<\/span><\/h2>\n<p><span style=\"font-weight: 400\">Do you remember the first time you heard of Coca-Cola? Or McDonald\u2019s? Probably not. And yet, there was a moment where you saw your first Coke ad or McDonald\u2019s billboard, setting in motion a growing brand recognition that has accumulated over your entire life.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">In that sense, every time you pull up to a McDonald\u2019s drive-thru and buy a Big Mac meal with an ice-cold Coca-Cola on the side, credit for that sale should be divvied up among roughly a million ads going back to before you were born.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Sometimes, the gears of a sale move slowly. A customer may finally decide to give you a try because of an ad they saw years ago, or because several ads over a longer period of time than we usually measure. Single-attribution marketing channels aren\u2019t, in short, <\/span><i><span style=\"font-weight: 400\">really<\/span><\/i><span style=\"font-weight: 400\"> single-attribution marketing channels. No one snowflake takes credit for an avalanche.<\/span><\/p>\n<p><span style=\"font-weight: 400\">All that being said, better attribution is something we should always strive for \u2014 and once we understand the caveats of attribution, and the place it should hold in your strategy, you can use it to help make better decisions for your brand.\u00a0<\/span><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">Types Of CTV Attribution<\/span><\/h2>\n<p><span style=\"font-weight: 400\">CTV is still, in some ways, a new and exciting frontier. That means different outlets will analyse their results in different ways. They all have their ups and downs, of course, but the point here is that we haven\u2019t settled entirely into a concept of an \u201cindustry standard\u201d yet.<\/span><b><\/b><\/p>\n<ul>\n<li><b>First-Touch Attribution: <\/b><span style=\"font-weight: 400\">This one gives the weight of any conversions to whichever ad the user encountered first. Even if they saw dozens in different places. This is kind of like when you go into a store and whichever salesman hits you up first gets dibs on the sale.<\/span><\/li>\n<li><b>Last-Touch Attribution: <\/b><span style=\"font-weight: 400\">More of a \u201cstraw that broke the camel\u2019s back\u201d model, this one applies the conversion to whatever the most-recent ad encountered before the sale. Of course, the problem here is that it downplays the contributions the rest of the ads may have made to the customer\u2019s journey.<\/span><\/li>\n<li><b>View-Through Attribution: <\/b><span style=\"font-weight: 400\">This one is a little more vaguely-defined, but it attributes spikes in conversions to ads during a specific window after the ad was seen. This has accuracy issues much like the others, because it can underestimate how long an ad lingers, or the cumulative effect of multiple creative efforts.<\/span><\/li>\n<li><b>Click-Through Attribution: <\/b><span style=\"font-weight: 400\">This works by setting up a specific website that corresponds to the ad, so that clicking on that ad goes directly to that landing page. This isn\u2019t without problems: for one, it\u2019s still a last-touch attribution model since it ignores any previously-seen ads. For another, aside from specific <\/span><a href=\"https:\/\/oko.uk\/blog\/interactive-ctv-ads-the-next-level\"><span style=\"font-weight: 400\">interactive<\/span><\/a><span style=\"font-weight: 400\"> ads, CTV ads can\u2019t generally correspond directly to a single page source like that.<\/span><\/li>\n<li><b>Multi-Touch Attribution: <\/b><span style=\"font-weight: 400\">This is an attempt to address the weaknesses of the other models by combining them, and using various formulas to apply weight to each touch the user encounters on their sales journey. It\u2019s obviously a fairly time-consuming process compared to the other, more-automated methods.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Clearly, of all the models referenced here, the multi-touch method seems to be the most likely to develop accurate results. But every house performs that particular alchemy in their own proprietary fashion. As such, some are going to get closer to the truth of the thing than others.<\/span><\/p>\n<p><span style=\"font-weight: 400\">So what\u2019s the best way to do it?<\/span><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">Conversion Mapping<\/span><\/h2>\n<p><span style=\"font-weight: 400\">At COOL Media, we try to approach conversions from multiple angles. While bidding on adspace, we capture various forms of data on individual users, including their IP address, Device IDs, location data, and more.<\/span><\/p>\n<p><span style=\"font-weight: 400\">That\u2019s where our universal onsite pixel comes into play. We gather <\/span><a href=\"https:\/\/oko.uk\/blog\/measuring-attention-the-future-of-tv-advertising\"><span style=\"font-weight: 400\">impression<\/span><\/a><span style=\"font-weight: 400\"> data as we go so that if anyone in that household converts, we\u2019ll be able to match that conversion data to all the impression data we&#8217;ve gathered throughout.<\/span><\/p>\n<p><span style=\"font-weight: 400\">We can check to see if (and how many) ad impressions were served to that IP address and compare timestamps. If the conversions happened after the impressions, we can safely apply that result to our dashboard as a conversion.<\/span><\/p>\n<p><span style=\"font-weight: 400\">That sounds pretty straightforward, but the upshot is this: we can attribute conversions across an entire household. If an ad was served on the user\u2019s CTV, but the conversion happened on a phone or iPad on the same network, we can still <\/span><a href=\"https:\/\/www.insticator.com\/cookie-monsters-the-death-of-third-party-cookies\/\"><span style=\"font-weight: 400\">track<\/span><\/a><span style=\"font-weight: 400\"> the conversions back to the impressions that drove them.<\/span><\/p>\n<p><span style=\"font-weight: 400\">When all is said and done, we\u2019ve got a complete postmortem from the customer\u2019s journey, from their first exposure to their later research to their final conversion. Pretty cool, right?<\/span><\/p>\n<h2><\/h2>\n<h2><span style=\"font-weight: 400\">Final thoughts<\/span><\/h2>\n<p><span style=\"font-weight: 400\">In conclusion, getting the most accurate information possible is the key to success for CTV\/OTT campaigns \u2014 but there\u2019s been some disagreement on how to do it properly.<\/span><\/p>\n<p><span style=\"font-weight: 400\">If you&#8217;re looking to get the most-accurate information out of your CTV advertising, COOL Media is a solution that demands a look. With our cutting-edge attribution dashboard, you can gain deeper insights from the same campaigns, and make smarter decisions as a result. You can get started today by <\/span><a href=\"https:\/\/coolmedia.co\/#contact-us\"><span style=\"font-weight: 400\">reaching out<\/span><\/a><span style=\"font-weight: 400\"> to our team. In a complicated industry, knowledge is power.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Back in the days before GPS on every phone, drivers on long trips often had to print out directions on paper before they left.<\/p>\n","protected":false},"author":1,"featured_media":465,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-463","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Attribution 101: What Gets Credit For Your Conversions? | Media &amp; Attribution<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cool.co\/media-and-attribution\/attribution-101-what-gets-credit-for-your-conversions\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Attribution 101: What Gets Credit For Your Conversions? 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