{"id":197,"date":"2026-10-28T21:10:56","date_gmt":"2026-10-28T20:10:56","guid":{"rendered":"https:\/\/themarketingopsmanager.com\/blog\/?p=197"},"modified":"2026-10-28T21:10:56","modified_gmt":"2026-10-28T20:10:56","slug":"attribution-models","status":"publish","type":"post","link":"https:\/\/themarketingopsmanager.com\/blog\/attribution-models\/","title":{"rendered":"Marketing Attribution Models Explained: First Touch, Last Touch, Linear and More"},"content":{"rendered":"\n<div class=\"ok-byline\"><div class=\"ok-who\"><span class=\"ok-avatar\" aria-hidden=\"true\">MB<\/span><div><strong>Marketing operations guide Max Benz<\/strong><span>Updated <time datetime=\"2026-10-28\">October 28, 2026<\/time> \u00b7 13 min read<\/span><\/div><\/div><ul class=ok-chips><li class=\"ok-chip ok-chip--ok\">Platform facts read from Google and HubSpot help pages<\/li><li class=\"ok-chip ok-chip--ok\">One journey scored by six models<\/li><li class=\"ok-chip ok-chip--ok\">Written for marketing ops<\/li><\/ul><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Attribution models<\/strong> are the rules that decide how much credit each marketing touchpoint gets for a conversion. A visitor might see a LinkedIn ad, read a blog post, open two emails and finally search your brand name before requesting a demo. An attribution model answers one question about that path: who gets the credit, and how much? The answer changes which channels look profitable, which campaigns get budget and which get cut.<\/p>\n\n\n\n<div class=\"ok-tldr\"><strong class=\"ok-tldr__h\">Attribution models in five points<\/strong><ul><li>Single-touch models (first touch, last touch, last non-direct click) give 100% of the credit to one touchpoint. Multi-touch models (linear, time decay, U-shaped, W-shaped) split it across the path.<\/li><li>Data-driven models learn the weights from your own conversion paths. Custom models use weights you set by hand.<\/li><li>The same journey produces very different channel credit under each model, which is why two reports can disagree without either being wrong.<\/li><li>Google removed first click, linear, time decay and position-based attribution from GA4 reporting in November 2023. Google Ads now offers last click and data-driven.<\/li><li>No model fixes bad data. Consistent UTM tags, one conversion definition and CRM stage data matter more than which model you pick.<\/li><\/ul><\/div>\n\n\n\n<nav class=\"ok-toc\" aria-label=\"On this page\"><p class=\"ok-toc__h\">On this page<\/p><ol><li><a href=\"#what-are-attribution-models\">What Are Attribution Models?<\/a><\/li><li><a href=\"#attribution-models-at-a-glance\">Attribution Models at a Glance<\/a><\/li><li><a href=\"#single-touch-attribution-models\">Single-Touch Attribution Models<\/a><\/li><li><a href=\"#multi-touch-attribution-models\">Multi-Touch Attribution Models<\/a><\/li><li><a href=\"#data-driven-and-custom-attribution\">Data-Driven and Custom Attribution<\/a><\/li><li><a href=\"#one-customer-journey-scored-by-every-model\">One Customer Journey Scored by Every Model<\/a><\/li><li><a href=\"#attribution-models-in-ga4-google-ads-and-hubspot\">Attribution Models in GA4, Google Ads and HubSpot<\/a><\/li><li><a href=\"#how-to-choose-an-attribution-model\">How to Choose an Attribution Model<\/a><\/li><li><a href=\"#what-your-data-needs-before-any-model-works\">What Your Data Needs Before Any Model Works<\/a><\/li><\/ol><\/nav>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-are-attribution-models\">What Are Attribution Models?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">An attribution model is a set of rules, or an algorithm, that assigns a share of the credit for a conversion to each marketing touchpoint on the way to it. A touchpoint is any recorded interaction, and it's the unit every model counts: an ad click, an organic visit, an email click, a webinar registration. A conversion is whatever you've decided to count, such as a purchase, a demo request or a qualified lead.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Two terms come up in every discussion, and they're worth fixing in your head first. <strong>Single-touch<\/strong> (also called single-source) models give all the credit to one touchpoint. <strong>Multi-touch<\/strong> (multi-source) models share it among several. Everything else in this guide is a variation on those two ideas, plus one family that learns the split from data. It's a short list, but the choices have real consequences.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The model doesn't change what happened. It only changes how you read it. A customer who touched five channels still touched five channels, but a last-touch report names one of them as the cause. That's why attribution is a reporting decision with budget consequences, not a measurement of truth.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"attribution-models-at-a-glance\">Attribution Models at a Glance<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The table shows the credit rule for each common model, using the usual textbook splits. Platforms implement the details differently, so it's best to treat the percentages as the convention. They aren't a guarantee of what your tool does. Vendors don't even agree on the textbook versions: Clearbit's five-touchpoint example gives its U-shaped model 35% for the first and last touch and 10% for each of the three in the middle, and its W-shaped example splits credit 25% and 12.5% instead of 30% and 10%. Check the documentation of the tool you use.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Model<\/th><th>Credit rule<\/th><th>Type<\/th><th>Best for<\/th><\/tr><\/thead><tbody><tr><td>First touch<\/td><td>100% to the first interaction<\/td><td>Single-touch<\/td><td>Judging what starts journeys, long sales cycles<\/td><\/tr><tr><td>Last touch<\/td><td>100% to the final interaction before conversion<\/td><td>Single-touch<\/td><td>Short cycles, direct response<\/td><\/tr><tr><td>Last non-direct click<\/td><td>100% to the last marketing channel before a direct visit<\/td><td>Single-touch<\/td><td>Keeping direct traffic from hiding the real driver<\/td><\/tr><tr><td>Linear<\/td><td>Equal share to every touchpoint<\/td><td>Multi-touch<\/td><td>A neutral baseline, similar-length journeys<\/td><\/tr><tr><td>Time decay<\/td><td>More credit the closer a touchpoint is to the conversion<\/td><td>Multi-touch<\/td><td>Promotions and moderate sales cycles<\/td><\/tr><tr><td>U-shaped (position-based)<\/td><td>40% first, 40% last, 20% shared by the middle<\/td><td>Multi-touch<\/td><td>Lead generation with a clear discovery and closing step<\/td><\/tr><tr><td>W-shaped<\/td><td>30% each to first touch, lead creation and opportunity creation, 10% to the rest<\/td><td>Multi-touch<\/td><td>B2B funnels with defined lead and opportunity stages<\/td><\/tr><tr><td>Data-driven<\/td><td>Weights learned from observed conversion paths<\/td><td>Algorithmic<\/td><td>High-volume programs on a platform that supports it<\/td><\/tr><tr><td>Custom<\/td><td>Weights you set<\/td><td>Rule-based<\/td><td>Unusual sales processes, offline touchpoints<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"single-touch-attribution-models\">Single-Touch Attribution Models<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Single-touch models give 100% of the credit for a conversion to one touchpoint and nothing to the others. They're very easy to explain and compute, which is why many analytics tools used them as the default for years. Their weakness is the same in each case, and it's a big one: they ignore every other interaction on the path.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"first-touch-attribution\">First-Touch Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">First-touch attribution credits the first recorded interaction. It answers \"what brings people in?\" and favors awareness channels such as paid social, display, content and events. It suits long sales cycles where the opening touch is the hardest one to win. The cost is that it gives nothing to the nurture emails, retargeting or sales calls that closed the deal. A first-touch report simply doesn't see them.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"last-touch-attribution\">Last-Touch Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Last-touch attribution credits the final interaction before the conversion. It answers \"what closes?\" and favors bottom-funnel channels such as branded search, retargeting and email. RedTrack, an ad tracking vendor, notes that Google Analytics and many other platforms have used it by default. It works for short cycles and direct-response campaigns, where there isn't much of a journey to lose. It undervalues anything that built the interest earlier, but it's especially unfair to content, and it tends to make branded search look like a miracle.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"last-non-direct-click-attribution\">Last Non-Direct Click Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Last non-direct click gives the credit to the last marketing channel the person used before a direct visit. The reasoning is that direct traffic usually reflects an earlier campaign. Here's the typical case: someone saw an ad, remembered the name and typed the address later. Skipping the direct visit keeps that earlier channel from losing the credit. Like the other single-touch models, it still ignores everything before that channel.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"multi-touch-attribution-models\">Multi-Touch Attribution Models<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Multi-touch models spread the credit for one conversion over several touchpoints. They answer the question single-touch models can't answer: what did the middle of the journey contribute? They need tracking that stitches the touchpoints into one path, so they're only as good as your tagging and identity data. You can't score a path you never recorded.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"linear-attribution\">Linear Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Linear attribution gives every touchpoint an equal share. With five touchpoints, each gets 20%. That's the whole rule. It's fair in a blunt way and works as a neutral baseline. However, it can hide the touchpoints that mattered most, so it's a weak guide for moving budget.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"time-decay-attribution\">Time-Decay Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Time-decay attribution gives more credit to touchpoints closer to the conversion and less to earlier ones. RedTrack's example for four touchpoints is 50%, 30%, 15% and 5%, from last to first. It fits promotions and moderate sales cycles where recent activity genuinely matters more. It's a poor fit when the first conversation is what you're paying for. Long-cycle B2B programs often find it undervalues the first conversation, although it's a sensible fit when recency really drives the decision.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"u-shaped-position-based-attribution\">U-Shaped (Position-Based) Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">U-shaped attribution gives 40% to the first touch, 40% to the last touch and splits the remaining 20% across the middle touchpoints. It rewards the interaction that created awareness and the one that closed, while still acknowledging the rest. That's why it's popular in lead generation. Google's tools called a version of this \"position-based\" before removing it, so you'll see both names.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"w-shaped-attribution\">W-Shaped Attribution<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">W-shaped attribution adds a third peak: 30% to the first touch, 30% to the touch that created the lead, 30% to the touch that created the opportunity, and the remaining 10% shared across other touchpoints. It only works if your CRM clearly records lead creation and opportunity creation as distinct stages, which makes it a B2B model. Without those stage dates there's nothing to anchor the extra two peaks.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"data-driven-and-custom-attribution\">Data-Driven and Custom Attribution<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">A data-driven model uses machine learning to estimate how much each touchpoint changed the chance of conversion, based on your own paths, so there's no fixed formula. Its strengths are that it adjusts as data arrives and that it doesn't bake in an assumption about which position matters. Yet it behaves like a black box, and it needs enough conversions to learn from. RedTrack states a figure of 15,000 conversions in 30 days without naming a source, so we won't repeat it. Check your platform's current documentation for its data requirements.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A custom model assigns weights you choose, and it isn't hard to build in a spreadsheet. An example is more credit to demo requests than to ad clicks. It can include offline touchpoints such as calls and trade shows, and it fits an unusual sales process. The risk is that the weights encode opinions, so it's wise to test them against results and write down why you picked them.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"one-customer-journey-scored-by-every-model\">One Customer Journey Scored by Every Model<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The table below scores one invented B2B journey under six models, so you can see how much the answer depends on the rule. The journey, the touchpoints and the time-decay weights are made up for illustration, and we've kept the numbers round. They aren't benchmarks, and you shouldn't read them as such.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">A prospect sees a LinkedIn ad, reads a blog post found through organic search, clicks a nurture email and fills out a form (the lead is created here), attends a webinar, and finally clicks a branded search ad and requests a demo (the opportunity is created here). Time decay uses 5, 10, 20, 25 and 40 percent from first to last.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/themarketingopsmanager.com\/blog\/wp-content\/uploads\/2026\/10\/attribution-example-journey.png\" alt=\"Five-step example journey from a LinkedIn ad to a branded search ad that creates the opportunity.\" loading=\"lazy\"\/><figcaption class=\"wp-element-caption\">The example journey: the lead is created at step 3 and the opportunity at step 5.<\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Touchpoint<\/th><th>First touch<\/th><th>Last touch<\/th><th>Linear<\/th><th>Time decay<\/th><th>U-shaped<\/th><th>W-shaped<\/th><\/tr><\/thead><tbody><tr><td>1. LinkedIn ad<\/td><td>100%<\/td><td>0%<\/td><td>20%<\/td><td>5%<\/td><td>40%<\/td><td>30%<\/td><\/tr><tr><td>2. Organic blog visit<\/td><td>0%<\/td><td>0%<\/td><td>20%<\/td><td>10%<\/td><td>6.7%<\/td><td>5%<\/td><\/tr><tr><td>3. Nurture email (lead created)<\/td><td>0%<\/td><td>0%<\/td><td>20%<\/td><td>20%<\/td><td>6.7%<\/td><td>30%<\/td><\/tr><tr><td>4. Webinar<\/td><td>0%<\/td><td>0%<\/td><td>20%<\/td><td>25%<\/td><td>6.7%<\/td><td>5%<\/td><\/tr><tr><td>5. Branded search ad (opportunity created)<\/td><td>0%<\/td><td>100%<\/td><td>20%<\/td><td>40%<\/td><td>40%<\/td><td>30%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/themarketingopsmanager.com\/blog\/wp-content\/uploads\/2026\/10\/attribution-credit-by-model.png\" alt=\"Six stacked bars showing how five touchpoints share credit under each attribution model.\" loading=\"lazy\"\/><figcaption class=\"wp-element-caption\">Same journey, six models: credit moves between channels without any change in what happened.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">The U-shaped middle values are rounded, so that column sums to 100.1%. Read across the rows, because that's where the disagreement shows. The LinkedIn ad gets everything, nothing or something in between depending on the model. The webinar gets zero under both single-touch models and a quarter of the credit under time decay. Run only last touch and you'd conclude that branded search drives all demos and that LinkedIn is wasted spend. If you only run first touch, you'd conclude the reverse.<\/p>\n\n\n\n<aside class=\"ok-callout ok-callout--tip\"><p><strong>Run two models side by side<\/strong> When the first-touch and last-touch views disagree about a channel, that channel is working at one end of the funnel only. Looking at both is cheaper than buying a multi-touch tool and often tells you what you need.<\/p><\/aside>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"attribution-models-in-ga4-google-ads-and-hubspot\">Attribution Models in GA4, Google Ads and HubSpot<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Most teams don't choose from the full menu, because their platforms have already narrowed it. We read the vendors' own help pages on 28 October 2026, and we've only listed what those pages state. Availability changes, so check the current page before you rely on this table.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Platform<\/th><th>Models available<\/th><th>What changed or what to know<\/th><\/tr><\/thead><tbody><tr><td>Google Analytics 4 (reporting)<\/td><td>Data-driven, paid and organic last click, Google paid channels last click<\/td><td>Google removed first click, linear, time decay and position-based in November 2023<\/td><\/tr><tr><td>Google Ads<\/td><td>Data-driven, last click<\/td><td>Data-driven is the default for most conversion actions; first click, linear, time decay and position-based are no longer supported and affected conversion actions were upgraded to data-driven<\/td><\/tr><tr><td>HubSpot (Deal Revenue Attribution)<\/td><td>First touch, last touch, linear, time decay, empirical<\/td><td>The report type is limited to Marketing Hub Enterprise accounts<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Two things follow, and neither is obvious. First, if someone tells you to \"just switch GA4 to linear,\" that option is no longer there; for the older rule-based views you'd need to build the analysis from exported data or use a tool that offers them. Second, each platform only sees its own touchpoints, and of course it credits itself generously. Google Ads credits Google Ads interactions, and a CRM credits the interactions it recorded. That's a main reason ad platform conversions don't match the CRM, which the <a href=\"\/blog\/marketing-report-template\/\">marketing report template<\/a> covers from the reporting side.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"how-to-choose-an-attribution-model\">How to Choose an Attribution Model<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Choose the model that matches how your buyers actually buy, then check that your data can support it. It's a decision you can revisit, and you won't need a perfect answer today. Three facts decide most cases, and you'll know all of them already: the length of the sales cycle, how many channels a typical buyer touches, and how many conversions you have to work with.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Your situation<\/th><th>Start with<\/th><th>Why<\/th><\/tr><\/thead><tbody><tr><td>Short cycle, one or two channels, e-commerce<\/td><td>Last touch or last non-direct click<\/td><td>Few touchpoints, so little is lost<\/td><\/tr><tr><td>Long cycle, brand and content driven<\/td><td>First touch next to last touch<\/td><td>You need to see what opens conversations<\/td><\/tr><tr><td>Multi-channel B2B with defined lead and opportunity stages<\/td><td>W-shaped, with first and last touch as cross-checks<\/td><td>Matches how the funnel is recorded<\/td><\/tr><tr><td>Lead generation with a clear discovery and close<\/td><td>U-shaped<\/td><td>Rewards both ends, acknowledges the middle<\/td><\/tr><tr><td>Plenty of conversions on Google platforms<\/td><td>Data-driven where offered<\/td><td>Learns weights, but check the data requirements<\/td><\/tr><tr><td>Offline touchpoints or unusual process<\/td><td>Custom, tested against outcomes<\/td><td>Rules fit the process, but weights need justification<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/themarketingopsmanager.com\/blog\/wp-content\/uploads\/2026\/10\/attribution-model-chooser.png\" alt=\"Decision tree that leads from three funnel questions to W-shaped, U-shaped, data-driven or last touch attribution.\" loading=\"lazy\"\/><figcaption class=\"wp-element-caption\">A starting point, not a rule: compare first touch and last touch alongside whatever you pick.<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Don't spend too long on the choice; you aren't locked in. A reasonable model that your team trusts and applies consistently beats a sophisticated one that nobody can explain. Whatever you pick, state it in every report. Readers can't judge a number if they don't know the rule behind it. The model name belongs in the data notes next to the number.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-your-data-needs-before-any-model-works\">What Your Data Needs Before Any Model Works<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Every model on this page assumes you've recorded the touchpoints, tied them to a person or account, and defined the conversion the same way everywhere. Most attribution disputes trace back to those assumptions. They don't come from the choice of model, and you won't fix them by switching.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Tracking gaps do the damage first, and they're the cheapest to fix. A campaign link without UTM parameters usually lands in direct or referral, so a first-touch report can credit \"direct\" for work an ad did. The <a href=\"\/blog\/utm-parameters\/\">UTM parameters guide<\/a> and the <a href=\"\/blog\/utm-naming-convention\/\">UTM naming convention<\/a> cover the tagging rules, and the <a href=\"\/blog\/campaign-tracking-checklist\/\">campaign tracking checklist<\/a> lists the tests to run before launch. If a tag stopped firing after a site change, the <a href=\"\/blog\/google-tag-assistant\/\">Google Tag Assistant guide<\/a> shows how to confirm it.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The handoff to the CRM matters for the models that care about funnel stages. W-shaped and any revenue-based view need lead and opportunity dates in the CRM, and they need the original source stored on the record. The <a href=\"\/blog\/hubspot-salesforce-integration\/\">HubSpot Salesforce integration guide<\/a> explains where those fields usually break.<\/p>\n\n\n\n<div class=\"ok-check\"><strong class=\"ok-check__h\">Attribution readiness check<\/strong><ul><li>Every paid and email link carries source, medium and campaign tags written to one naming convention<\/li><li>Form submissions store the original source and campaign on the CRM record<\/li><li>Lead creation and opportunity creation dates are recorded as separate fields<\/li><li>One written definition of a conversion is used in analytics, ad platforms and the CRM<\/li><li>The attribution model used is named in every report next to the numbers<\/li><li>A first-touch and a last-touch view are both available for comparison<\/li><li>Offline conversions (calls, events) are either imported or listed as a known gap<\/li><\/ul><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Keeping those checks true across ad platforms, forms, analytics and the CRM is repeated work, and the failures show up between tools, where nobody's watching. The <a href=\"\/blog\/marketing-operations-audit-checklist\/\">marketing operations audit checklist<\/a> covers the broader review, and <a href=\"https:\/\/themarketingopsmanager.com\/\">The Marketing Ops Manager<\/a> is built to watch campaigns, landing pages, tracking, forms and CRM handoffs for exactly this kind of drift.<\/p>\n\n\n\n<aside class=\"ok-product ok-wide\" id=\"the-marketing-ops-manager\"><span class=\"ok-fav ok-fav--md ok-fav--ours\"><img src=\"\/blog\/wp-content\/uploads\/opskit\/fav\/mops.svg\" alt=\"\" width=\"24\" height=\"24\" loading=\"lazy\" decoding=\"async\"><\/span><div><p class=\"ok-product__eyebrow\">What these tools don&#x27;t catch<\/p><p class=\"ok-product__head\">A live campaign stops tracking and nobody notices<\/p><p>The Marketing Ops Manager checks each journey from ad click to sales handoff on a schedule, opens an incident with evidence and lets an AI agent in Claude or ChatGPT propose a fix that a person approves.<\/p><\/div><a class=\"ok-product__cta\" href=\"https:\/\/themarketingopsmanager.com\/\">See how it works<\/a><\/aside>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What are the main types of attribution models?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>The main types are single-touch models (first touch, last touch, last non-direct click), multi-touch models (linear, time decay, U-shaped, W-shaped), data-driven models that learn weights from your conversion paths, and custom models with weights you set.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-2\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What is the difference between single-touch and multi-touch attribution?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Single-touch attribution gives 100% of the credit for a conversion to one touchpoint, such as the first or the last. Multi-touch attribution splits the credit across several touchpoints on the path, either equally or by a rule or algorithm.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-3\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What attribution model does GA4 use?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Google Analytics Help lists three reporting attribution models for GA4: data-driven, paid and organic last click, and Google paid channels last click. Google removed first click, linear, time decay and position-based from GA4 in November 2023.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-4\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What is the attribution model in Google Ads?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Google Ads offers data-driven and last click. Google's help page says data-driven is the default for most conversion actions, and that first click, linear, time decay and position-based models are no longer supported.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-5\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">What is the difference between first-touch and last-touch attribution?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>First-touch gives all the credit to the first interaction, so it shows what starts journeys. Last-touch gives all the credit to the final interaction before the conversion, so it shows what closes. Comparing both shows where each channel works.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-6\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \">Which attribution model is best?<\/h3>\n<div class=\"rank-math-answer \">\n\n<p>No model is best in general. Pick the one that fits your sales cycle, channel mix and data: last touch for short single-channel cycles, W-shaped for B2B funnels with lead and opportunity stages, data-driven where your platform supports it and you have enough conversions.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Attribution models explained: how first touch, last touch, linear, time decay, U-shaped and W-shaped split credit, with one scored example and GA4 facts.<\/p>\n","protected":false},"author":1,"featured_media":198,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-197","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-glossary"],"_links":{"self":[{"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/posts\/197","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/comments?post=197"}],"version-history":[{"count":1,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/posts\/197\/revisions"}],"predecessor-version":[{"id":208,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/posts\/197\/revisions\/208"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/media\/198"}],"wp:attachment":[{"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/media?parent=197"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/categories?post=197"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/themarketingopsmanager.com\/blog\/wp-json\/wp\/v2\/tags?post=197"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}