{"id":1889,"date":"2021-03-16T04:10:27","date_gmt":"2021-03-16T04:10:27","guid":{"rendered":"https:\/\/sticklercleaningservices.com.au\/?p=1889"},"modified":"2023-03-06T08:58:13","modified_gmt":"2023-03-06T08:58:13","slug":"what-is-attribution-modeling-for-social-media","status":"publish","type":"post","link":"https:\/\/sticklercleaningservices.com.au\/?p=1889","title":{"rendered":"What is Attribution Modeling for Social Media Marketing?"},"content":{"rendered":"<div id=\"toc\" style=\"background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;\">\n<p class=\"toctitle\" style=\"font-weight: 700;text-align: center;\">Content<\/p>\n<ul class=\"toc_list\">\n<li><a href=\"#toc-0\">What advantages do attribution models offer?<\/a><\/li>\n<li><a href=\"#toc-1\">Customers<\/a><\/li>\n<li><a href=\"#toc-2\">Explore related content by topic<\/a><\/li>\n<li><a href=\"#toc-3\">Map your customer journey<\/a><\/li>\n<li><a href=\"#toc-4\">Linear Attribution<\/a><\/li>\n<li><a href=\"#toc-5\">Implementing Attribution Models in Affiliate Marketing<\/a><\/li>\n<li><a href=\"#toc-6\">Avoid linear attribution model:<\/a><\/li>\n<\/ul>\n<\/div>\n<p>In other words, it\u2019s the means by which the customer came to know and buy your product or service. Attribution is extremely important with affiliates as businesses have to give them a cut of the sale. Many companies would prefer not to pay an affiliate a commission based on the revenue of $80 when the attributed revenue is actually $50. It\u2019s all about creating a model that ensures your marketing budget is utilized effectively so you get more bang for your buck.<\/p>\n<ul>\n<li>So, you want to make sure that it will be worth your investment.<\/li>\n<li>To understand and find channels that result in brand awareness and conversion.<\/li>\n<li>Track the impact of each channel, and where they fit in conversion paths.<\/li>\n<li>This is the simplest attribution model and is often the default model for analytics platforms.<\/li>\n<li>This model attributes full credit for the conversion to the first point of contact.<\/li>\n<\/ul>\n<p>The customers are influenced by a variety of factors and engaged with multiple channels before finally ordering the product. Affiliates have historically  had on insight into how else customers were engaging with the advertisers they work with. \u201cHow would I know that you sent them a catalog the week I sent them to your site? \u201d There hasn\u2019t been a whole lot of sharing from advertisers to affiliates and this is a real cause for concern. The rules governing which traffic provider receives what credit is known as attribution. This service has spawned a generation of martech companies in mobile known as mobile measurement partners .<\/p>\n<p>In the time decay model, which is based on the concept of exponential growth, the time determines the value of the channel. The closer a channel or a contact point is to the time of conversion, the higher its monetary share is. The half-life typically measures seven days &#8211; a touchpoint seven days before the conversion therefore receives half the value that a touchpoint receives on the day of the conversion itself.<\/p>\n<h2 id=\"toc-0\">What advantages do attribution models offer?<\/h2>\n<p>An attribution model refers to the set of rules that determine which marketing channels should be credited for conversions at various stages of the customer journey. With one or multiple models, you can identify the most valuable touchpoints for your marketing campaigns. The downside of using a single-step marketing attribution model is that both the first-touch and the last-touch attribution models only pinpoint to a single interaction on the buyer\u2019s journey.<\/p>\n<p>This book has been written to help you implement attribution modelling in Google Ads and Facebook. It will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and determine the most effective marketing channels for investment. The Ads-preferred rules-based attribution model (also known as the Ads-preferred Last Click model) gives 100% conversion credit to the last Google Ads click on a conversion path. The Cross-channel first click attribution model gives 100% conversion credit to the first touchpoint on a conversion path. The Cross-channel last click attribution model gives 100% conversion credit to the last touchpoint on a conversion path. Custom attribution involves having a data analyst build a custom attribution model that takes into account the specific buying patterns of your customers and then assign credit based on their past history.<\/p>\n<h2 id=\"toc-1\">Customers<\/h2>\n<p>In our example scenario, Nina\u2019s friend\u2019s recommendation and the Instagram ads may have had more of an impact on her decision than the email newsletter. The model would adjust for this and you would be able to easily recognize which parts of the journey are most important. The U-shaped model gives 40% to the first touch, 40% to the last touch and 20% to everything in between. This weight modeling recognizes that the first and last touch are most important to the customer but everything else still gets counted in, too.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"301px\" alt=\"affiliate attribution model\"\/><\/p>\n<p>At the end of the day, marketers who rely on single-touch attribution models cannot effectively optimize their marketing mix or accurately attribute revenue to the right campaigns. Leading marketers capture data from every marketing touchpoint, track both online and call conversions, and connect all of the dots. This allows them to make smarter optimizations that boost their ROI. Single-touch marketing attribution models still have their place, but marketers are embracing multi-touch attribution to effectively report and optimize campaigns.<\/p>\n<h2 id=\"toc-2\">Explore related content by topic<\/h2>\n<p>In the  following high-level illustration, the combination of Ad Exposure #1 , Ad Exposure #2 , Ad Exposure #3 , and Ad Exposure #4 leads to a 3% probability of conversion. When Ad Exposure #4 does not occur, the probability drops to 2%, so we know that Ad Exposure #4 drives +50% conversion probability. We repeat this for each ad interaction and use the learned contributions as attribution weights. Businesses select an affiliate or multiple preferred affiliates which receive 100% of the attribution regardless of how many points of contact were involved in the funnel. We also need to bear in mind that affiliates are just as concerned with ROI as advertisers, so at what point does this model become unprofitable?<\/p>\n<p>If you\u2019re able to understand and utilize attribution models effectively, the results can be tremendous. Be aware, however, that attribution modeling is a constantly changing field that you need to actively work at to stay on top of. One model might work for a certain customer or product, then deliver biased and inaccurate results for the next. Similar to the U-Shaped Attribution, the W-Shaped attribution awards credit to different parts of the funnel at varying percentages. This model 30% of credit to first touch, lead creation, and opportunity creation, then awards the remaining 10% to any remaining touchpoints. Attribution modeling gives you a way to gather data on your marketing channels and then helps you award credit where credit is due.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"309px\" alt=\"affiliate attribution model\"\/><\/p>\n<p>Since attribution model is just a framework for the analysis of your performance, it\u2019s your call to choose this framework. We can see that first touchpoint in this case was the influencer campaign. And the last event before the conversion happened was just an organic search. On average, from the experience of our clients, you have anywhere from 3 to 5 different touchpoints with the customers before the magical conversion happens.<\/p>\n<h2 id=\"toc-3\">Map your customer journey<\/h2>\n<p>What\u2019s the point of modeling if you don\u2019t have any goals to reach? Learn how to set and achieve your social media goals and determine the social media metrics that match up with them. With measurable goals, the attribution models will be able to tell you if you\u2019ve achieved them. The position-based attribution model combines the best features of the linear and time decay models. Position\u2013based will assign 40% of the credit to the first and last touch with the remaining 20% being divvied out evenly to every touch in between.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/xcritical.com\/wp-content\/uploads\/2020\/09\/GettyImages-930264196.jpg\" width=\"304px\" alt=\"affiliate attribution model\"\/><\/p>\n<p>The closer in time to the event, the more credit a touchpoint receives. Use your customer journey map to categorize each touchpoint based on its impact on your customer\u2019s buying decisions, then distribute the points accordingly. Building a marketing attribution model from <a href=\"https:\/\/xcritical.com\/blog\/xcritical-affiliate-marketing-system-benefits-for-small-business\/\">affiliate marketing system<\/a> scratch, after all, requires a significant amount of resources. So, you want to make sure that it will be worth your investment. With this model you have more control over how you credit points to each touchpoint based on how much it influences your customers to convert.<\/p>\n<p>However, as marketing attribution moves to multi-touch models, this means businesses are measuring marketing touches that happen with existing contacts. These contacts are still considered prospects because they haven\u2019t purchased yet, but since they already have a sales team assigned, they\u2019re also not considered a new lead. What this means is that in an advanced multi-touch model, the business is measuring marketing\u2019s influence on a prospect more than \u201csourcing\u201d .<\/p>\n<p>Robin Kurzer started her career as a daily newspaper reporter in Milford, Connecticut. She then made her mark on the advertising and marketing world in Chicago at agencies such as Tribal DDB and Razorfish, creating award-winning work for many major brands. For the past seven years, she\u2019s worked as a freelance writer and communications professional across a variety of business sectors. Many marketers know roughly half their media spend is wasted, but few are aware of which half that is.<\/p>\n<h2 id=\"toc-4\">Linear Attribution<\/h2>\n<p>Adjust, Appsflyer, Branch, Kochava, and Singular are among the most popular. This model takes into account all of the points of contact, however, it attributes greater value to those that are close to the conversion. This is a useful model in the sense that it considers the last steps to be the most important, to the detriment of the discovery phase. This is an assumption that holds a certain logic, even if it attributes practically zero value to the initial steps.<\/p>\n<h2 id=\"toc-5\">Implementing Attribution Models in Affiliate Marketing<\/h2>\n<p>As the name suggests, this marketing attribution model is fully customizable based on your client\u2019s goals and insights. With a linear attribution model, conversion credit is split equally between all brand touchpoints. This marketing attribution model is helpful if your client tends to convert customers immediately. In terms of the social media marketing funnel, attribution models credit the channels within the Awareness and Consideration stages that led to the Conversion.<\/p>\n<h2 id=\"toc-6\">Avoid linear attribution model:<\/h2>\n<p>Which is computationally very expensive \u2013 and which also causes these models to run into data volume limits which prevent their practical functioning. Possible limitations \u2013 Data-driven channel attribution in GA and Adobe suffers from data quality challenges. Which can inaccurately represent <a href=\"https:\/\/xcritical.com\/\">https:\/\/xcritical.com\/<\/a> the individuals behind the clickstream. And so, the data-driven models are showing only part of the real picture. Works well \u2013 Can give an understanding of the contribution of channels that are typically poorly served by Last-click \u2013 Paid Social in particular \u2013 in your marketing mix.<\/p>\n<p>They do this by creating content, reviews, and any convincing information about the merchant\u2019s products. When you approach many established online gurus, the first idea they will share with you is starting an affiliate business. This model enables them to make a passive income providing them with the cash to invest in other online ventures.<\/p>\n<p>The fact that a visitor clicks on a Facebook ad does not make this the sole trigger for the sale. With this model, whatever happens between the first interaction and the conversion is insignificant; the first interaction sets the ball in motion and therefore deserves all the credit. After your client has invested time and money into various marketing efforts, they\u2019ll want to know which ones generated the highest ROI for their businesses. Many discussions about marketing attribution, like other aspects of marketing, are full of jargon. I understand that QueryClick may contact me by email\/phone about products, services &#038; events and store my personal data to be used as per their privacy policy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Content What advantages do attribution models offer? Customers Explore related content by topic Map your customer journey Linear Attribution Implementing Attribution Models in Affiliate Marketing Avoid linear attribution model: In other words, it\u2019s the means by which the customer came to know and buy your product or service. Attribution is extremely important with affiliates as &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/sticklercleaningservices.com.au\/?p=1889\"> <span class=\"screen-reader-text\">What is Attribution Modeling for Social Media Marketing?<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[22],"tags":[],"yst_prominent_words":[],"class_list":["post-1889","post","type-post","status-publish","format-standard","hentry","category-fintech"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v14.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Attribution Modeling for Social Media Marketing? - Commercial Cleaning Services In Melbourne<\/title>\n<meta name=\"robots\" content=\"index, follow\" \/>\n<meta name=\"googlebot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta name=\"bingbot\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sticklercleaningservices.com.au\/?p=1889\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What is Attribution Modeling for Social Media Marketing? - Commercial Cleaning Services In Melbourne\" \/>\n<meta property=\"og:description\" content=\"Content What advantages do attribution models offer? Customers Explore related content by topic Map your customer journey Linear Attribution Implementing Attribution Models in Affiliate Marketing Avoid linear attribution model: In other words, it\u2019s the means by which the customer came to know and buy your product or service. Attribution is extremely important with affiliates as &hellip; What is Attribution Modeling for Social Media Marketing? Read More &raquo;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/sticklercleaningservices.com.au\/?p=1889\" \/>\n<meta property=\"og:site_name\" content=\"Commercial Cleaning Services In Melbourne\" \/>\n<meta property=\"article:published_time\" content=\"2021-03-16T04:10:27+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-03-06T08:58:13+00:00\" \/>\n<meta property=\"og:image\" content=\"\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/sticklercleaningservices.com.au\/#website\",\"url\":\"https:\/\/sticklercleaningservices.com.au\/\",\"name\":\"Commercial Cleaning Services In Melbourne\",\"description\":\"Commercial Cleaning Services In 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