{"id":13565,"date":"2020-06-17T16:11:31","date_gmt":"2020-06-17T21:11:31","guid":{"rendered":"https:\/\/www.invespcro.com\/blog\/?p=13565"},"modified":"2020-06-17T16:11:31","modified_gmt":"2020-06-17T21:11:31","slug":"copy-of-google-analytics-recency-and-frequency-and-mcf-reports","status":"publish","type":"post","link":"https:\/\/www.invespcro.com\/blog\/copy-of-google-analytics-recency-and-frequency-and-mcf-reports\/","title":{"rendered":"Google Analytics: Recency and Frequency and MCF Reports"},"content":{"rendered":"<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\"> 11<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span><p><span style=\"font-weight: 400;\">Quick questions: Do you know who your most loyal customers are? And do you have a crystal clear idea about how your conversions are taking place?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a marketer, you want to increase your conversion rate.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">But in order to do so, you must understand your audience better and track your conversion.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The good news is you can accomplish both by looking at the <a href=\"https:\/\/www.invespcro.com\/blog\/how-to-use-google-analytics-to-increase-conversions\/\">Google Analytics<\/a> dashboard. Google Analytics offers two reports: (1) Multi-channel function (MCF) and (2) Recency and Frequency. With these two you can see your whole conversion path,\u00a0 interactions between channels, and the visiting behaviors of your audience.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">These insights can later be used to offer better customer experience and improve your funnel.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Are you using these two? No? Wanna know more?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Without further ado, let\u2019s jump in.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Recency and frequency<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">Loyal customers are the lifeblood of any business. After all,<\/span><a href=\"https:\/\/www.invespcro.com\/blog\/customer-loyalty-programs\/\"><span style=\"font-weight: 400;\"> 65% of a brand\u2019s business<\/span><\/a><span style=\"font-weight: 400;\"> comes from existing customers.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">To serve them well (and convert those that are on the fence) first you need to spot who your loyal customers are, from the long list of your customers.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Recency and frequency report helps you do that.\u00a0<\/span><\/p>\n<h4><b>What is Recency and Frequency Report?<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">In Google Analytics, frequency refers to the number of times a visitor visits your website within a set time frame. (This time frame is easily adjustable).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Think about it this way: the more frequent a visitor is, the higher the odds of him\/her being a loyal customer. (Though you can tell only after the RFM evaluation which I will come to later).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Recency is defined as the number of days that have passed since the visitor last landed on your website.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Allow me to give an example to demonstrate how Recency and Frequency work.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Suppose, you have a visitor who landed on your website twice in the last week: first on Monday then Friday using the same device. If you open Google Analytics report on Saturday (and set the time frame to\u201d last week\u201d) you would see the count of sessions (Frequency) is 2 and Days since last visit (Recency) is 1.\u00a0<\/span><\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-13571 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/a1111.jpg\" alt=\"\" width=\"680\" height=\"289\" data-wp-pid=\"13571\" \/><\/p>\n<p><span style=\"font-weight: 400;\">It\u2019s pretty easy to find the Recency and Frequency report on Google Analytics. Go to audience-&gt; Behaviour-&gt; Frequency and Recency report.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You find Frequency (count of sessions) and Recency (Days since the last session) by clicking the links shown in the images.<\/span><\/p>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-13572\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/a123.jpg\" alt=\"\" width=\"1092\" height=\"726\" data-wp-pid=\"13572\" \/><\/p>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Source: DBS interactive\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0Google Analytics offers the flexibility of comparing frequency and recency data of multiple audience segments.<\/span><\/p>\n<h4><b>How to use Recency and Frequency reports for more conversions:\u00a0<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">One of the most used real-life applications of the Recency and Frequency report is RFM analysis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">RFM analysis is a method of customer segmentation based on their purchase value and regularity. The acronym of RFM is recency, frequency, and monetary value.\u00a0\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Recency: The time since the customer completed a goal.\u00a0 It\u2019s a great predictor of who would be warmer towards new offers and promotions. Usually, those who have purchased recently would more likely purchase again compared to someone who went cold for several months.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Frequency:\u00a0 The regularity of the customer. If someone purchases frequently, the person is more likely to be a loyal customer or could be easily converted into one. High frequency indicates the high lifetime value of a customer.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Monetary value: The amount of money customers spend. Anyone who spends higher is more likely to continue spending more if given better offers or loyalty benefits.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">In order to do RFM analysis, each customer is assigned a score for recency, frequency, and monetary value. If you use a 1-4 scale, score 4 would be assigned to the highest monetary value, frequency, and lowest recency.\u00a0 Create a range for subsequent scores for each factor. While assigning a monetary value score, you can take account of either total spending or spending per visit, depending on your business model.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now, a 1-5 scale offers better accuracy as you can split your audience into more number of groups. However, most businesses usually don\u2019t need that many segments.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The perfect customers (who spend the highest, shop frequently, and purchase recently) would get a score of 444 on this 1-4 scale. One time, long disengaged customers would be at the bottom with a 111 score. Everyone else would be in between.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is an example to demonstrate how the RFM analysis looks like.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In table 1, you have the audience data straight from your CRM. Table 2 holds the recency score. Tables 3 and 4 are for frequency and monetary value range subsequently. The Final scored will be in table 5. <\/span><span style=\"font-weight: 400;\">Table 1: Original customer data<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Customer ID<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Number of days passed since last purchase<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Total numbers of purchases\u00a0 in last month<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Average spending per purchase<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 1\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$20<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid\u00a0 2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">12<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$35<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 3<\/span><\/td>\n<td><span style=\"font-weight: 400;\">10\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$90<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$23<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">13<\/span><\/td>\n<td><span style=\"font-weight: 400;\">17<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$77<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 6<\/span><\/td>\n<td><span style=\"font-weight: 400;\">15<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$37<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$62<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 8<\/span><\/td>\n<td><span style=\"font-weight: 400;\">18<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$25<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 9<\/span><\/td>\n<td><span style=\"font-weight: 400;\">12<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$51<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 10<\/span><\/td>\n<td><span style=\"font-weight: 400;\">7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">8<\/span><\/td>\n<td><span style=\"font-weight: 400;\">$44<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Table 2: Recency value table\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Number of days passed since last purchase<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Recency score\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">1-5 days<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">5- 9 days<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">10- 15 days\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">15+<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Table 3: frequency table<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Total number of purchase<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Frequency score\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">1-5\u00a0<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">6-10<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">11-15<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">15+<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Table 4: Monetary value<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Average spending per purchase<\/span><\/td>\n<td><span style=\"font-weight: 400;\">Monetary value score\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">$1- $25<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">$26-$50<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">$51-$75<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">$75+<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">After reassigning RFM scores you will get something like this\u00a0<\/span><\/p>\n<table>\n<tbody>\n<tr>\n<td><span style=\"font-weight: 400;\">Customer_id<\/span><\/td>\n<td><span style=\"font-weight: 400;\">RFM score\u00a0<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 1<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4-1-1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 2<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4-3-2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 3<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2-1-4<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 4<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4-2-1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 5<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1-3-4<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 6<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2-1-2<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 7<\/span><\/td>\n<td><span style=\"font-weight: 400;\">4-1-3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 8<\/span><\/td>\n<td><span style=\"font-weight: 400;\">1-1-1<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 9<\/span><\/td>\n<td><span style=\"font-weight: 400;\">2-1-3<\/span><\/td>\n<\/tr>\n<tr>\n<td><span style=\"font-weight: 400;\">Cid 10<\/span><\/td>\n<td><span style=\"font-weight: 400;\">3-2-2<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-weight: 400;\">Here is how you interpret and use the RFM analysis data in your marketing:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Customers with an overall high RFM score belongs to \u201cloyal\u201d or \u201cpotentially loyal\u201d customers category. In this example, Cid 2 and Cid\u00a0 7 come closest to being loyal customers.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Customers who have a high overall RFM score but a frequency score of 1 are new. The company can provide special offers for these customers to increase their visits.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Customers who have a high-frequency score but a low recency score belong to the \u201ccold customer\u201d category. They used to visit quite often before but no longer visits now or maybe their interest is dwindling. These customers might rekindle the \u201crelationship \u201c if they get lucrative offers and discounts. Sometimes highly personalized heartwarming gratitude emails could do the trick. Even when they don\u2019t come back, they can point out why they left, if asked.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">RFM scores can be analyzed together with the results of the campaigns to eliminate non-responsive customers and further improve the campaigns. Apart from that, this score can be analyzed together with the products they purchase to design highly targeted offers for each customer segment.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Once you have your segments planned, go to the Analytics dashboard, select \u201cadmin\u201d and create new customer segments. Please note, the RFM segment may not always be the best segmentation method but it is a powerful tool in your CRO toolbox.\u00a0<\/span><\/p>\n<h3>Multi-channel Funnel<\/h3>\n<p><span style=\"font-weight: 400;\">Chances are, you have a list of goals you want users to complete on your website. If you study the intricacies of their consumer habits, preferences, and engagement, you can improve conversions significantly.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This is where MCF (Multichannel Funnel) assists.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">It eliminates every scope of guesswork by displaying detailed data about conversions, right on your Google Analytics dashboard.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In order to find this report, go to Conversions-&gt;multi channels funnels.\u00a0<\/span><\/p>\n<p><img decoding=\"async\" class=\"size-full wp-image-13573 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/1234.jpg\" alt=\"\" width=\"680\" height=\"418\" data-wp-pid=\"13573\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Multi-channel Funnel report offers 5 different sub-reports. Let\u2019s have a brief overview.\u00a0\u00a0\u00a0<\/span><\/p>\n<h4><b>Understanding different MCF reports:\u00a0<\/b><\/h4>\n<p><b>1. Overview report:\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">This is the first report you see when you click on the Multi-channel Funnels section link. It\u2019s a summary page that compares the number of conversions and assisted conversions over the selected time period. (Note* For any of these reports, you have the flexibility of changing the date range to whatever time period you want to analyze. However, as of right now Google is only planning on expanding the data in these reports back to January. )<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The overview report also has a feature called the Multi-channel Conversion Visualizer, which displays the percentage of total conversions by channels( and channel combinations).<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13574 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/123456.jpg\" alt=\"\" width=\"680\" height=\"263\" data-wp-pid=\"13574\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This is an MCF overview conversion report for the goal \u201centered checkout\u201d. According to this report, direct search is responsible for 57.69% of total number conversions, organic search is 40.11%, referral search is behind 24.74% conversions and paid search fueled 11.54% of total conversions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this particular case, Direct, organic, and referral &#8212; all of these three channels combined contributed to 2.24% of total conversions.\u00a0<\/span><\/p>\n<p><b>2. Assisted conversion report:\u00a0<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Not all channels contribute equally to conversions. The Assisted conversion report provides in-depth information on the role of each of your channels and their performance&#8212; when and how many conversions each channel initiated, completed, and assisted.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Having a clear idea of the following terms is important for understanding the full extent of this report:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><b>Assisted Conversion<\/b><span style=\"font-weight: 400;\">: this shows the number of conversions in which a specific channel assisted. In other words, this report captures channels that are part of the conversion path, but not the final conversion point.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Assisted Conversion Value<\/b><span style=\"font-weight: 400;\">: The net value of the conversions, assisted by a specific channel.<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Last Click or Direct Conversions<\/b><span style=\"font-weight: 400;\">: Think of this as the opposite of assisted conversion. The direct conversion column counts only the number of conversions where a specific channel acted as the final conversion interaction point.<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Last Click or Direct Conversion Value<\/b><span style=\"font-weight: 400;\">: the value of the direct conversions.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><b>Assisted \/ Last Click or Direct Conversions<\/b><span style=\"font-weight: 400;\">: This is a ratio of assisted and direct conversions. A value close to 0 indicates a specific channel functioned primarily as the final conversion interaction. A value close to 1 means the channel equally participated in both assist roles and final conversion role. More this value shifts towards 1, more the channel in question assumes the assist role.<\/span><\/li>\n<\/ul>\n<div class=\"blog_img\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13575 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/abcdef.jpg\" alt=\"\" width=\"680\" height=\"293\" data-wp-pid=\"13575\" \/><\/div>\n<p><span style=\"font-weight: 400;\">If you look into the report, each default channel is shown with a score in all the above-mentioned columns. Take the example of \u201cDirect \u201c. For any given conversion, it assisted in 46 conversions. It\u2019s assisted the last click or direct value is 0.49 which denotes direct channel functions as both final as well as an assisted touchpoint.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now, Assisted conversion reports use<\/span><a href=\"https:\/\/support.google.com\/analytics\/answer\/1191184\"><span style=\"font-weight: 400;\"> pre-defined channel<\/span><\/a><span style=\"font-weight: 400;\"> grouping to display how conversions are taking place. These channels provide valuable insights.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, sometimes you might need more than that.\u00a0 For instance, Suppose you have 65% organic traffic. This organic traffic can come in various ways&#8211; brand terms, SEO content, product, or even by users typing your name. Default channel \u201corganic\u201d just roll them together and keep them in the same basket. There is no way to distinguish details unless you go for customized channel grouping.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Custom channel grouping is a unique combination of channels that uncover the insights you seek.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">You can create those custom grouping on your analytics dashboard.\u00a0 There are two ways to do it: either by creating from the admin interface or doing it directly from the assisted conversion report page.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is how to do it from the Assisted conversion report interface:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Click on \u201cChannel grouping\u201d. A drop-down will appear. Scroll down and select \u201cCreate a custom channel grouping\u201d.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13576 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/a1a.jpg\" alt=\"\" width=\"680\" height=\"289\" data-wp-pid=\"13576\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Once you click on it, a new window will open, where you can create your unique channels and make a grouping with those channels.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13577 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/212.jpg\" alt=\"\" width=\"680\" height=\"292\" data-wp-pid=\"13577\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Alternatively, you can take existing templates, tweak them according to your requirement and use.\u00a0<\/span><\/p>\n<div class=\"blog_img\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13578\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/aq.jpg\" alt=\"\" width=\"680\" height=\"372\" data-wp-pid=\"13578\" \/><\/div>\n<p><span style=\"font-weight: 400;\">Once you set your custom channel grouping, you can navigate to new grouping by clicking on the primary dimension dropdown. Here is what your Google Analytics dashboard looks like with custom channel grouping.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13579 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/abaaaag.jpg\" alt=\"\" width=\"680\" height=\"384\" data-wp-pid=\"13579\" \/><\/p>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Source: Jeffalytics<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Please note, it&#8217;s possible to alter default channel grouping if you want. However, tread lightly if you don\u2019t know what you are doing. Editing default channels can alter data permanently. Even if you reverse it later, some data will be lost anyway.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In case you are determined to do it, head back to the Channel grouping option as Admin, select the default channel, and update the channel rules.\u00a0<\/span><\/p>\n<p><b>3. Top conversion path report:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">The top conversions path report allows you to quickly visualize how people reach your site, which channels are creating a first-touch interaction that converts well, and which channel combinations work best.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">By searching on a particular channel you get more insights into the role of that channel and where the channel occurs on the path to conversion.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13580 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/pa.jpg\" alt=\"\" width=\"680\" height=\"318\" data-wp-pid=\"13580\" \/><\/p>\n<p><span style=\"font-weight: 400;\">On top of the report, you can set the length of the path. In this way you can look for reports based on your choice of path length:<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13581 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/len.jpg\" alt=\"\" width=\"680\" height=\"193\" data-wp-pid=\"13581\" \/><\/p>\n<h4><strong>4. Time lag report:\u00a0<\/strong><\/h4>\n<p><span style=\"font-weight: 400;\">The time lag report reveals how long a certain user takes to convert counting from his\/her first session.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13582\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/wed.jpg\" alt=\"\" width=\"1330\" height=\"556\" data-wp-pid=\"13582\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Notice the pattern here. Most of the conversions take place either within three days from the first session or after 12-30 days.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">How do you use this info? Re-target users if they ejected midway, within three days.\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">If you change your conversion goal, this report would vary accordingly. Another point to remember, depending on the value of look back window results may vary for the same conversion goal.\u00a0<\/span><\/p>\n<h4><strong>5. Path length report:\u00a0<\/strong><\/h4>\n<p><span style=\"font-weight: 400;\">Path length report shows the actual number touchpoints or path length required for each conversion. For example, suppose a visitor came across your ad on Facebook, landed on your website, and sign up for the newsletter. Later he purchased it through a link sent in your email newsletter. In this case, the path length would be 3.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-13583\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/report.jpg\" alt=\"\" width=\"1331\" height=\"558\" data-wp-pid=\"13583\" \/><\/p>\n<h4><b>How to use MCF report insights for better conversion:\u00a0<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">By now, you should have a basic understanding of what insights MCF has to offer and where to look for those insights.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In this section, I would share some actionable tips to use those reports.\u00a0\u00a0<\/span><\/p>\n<p><b><i>Reallocate your Adword spending for better results:\u00a0 <\/i><\/b><span style=\"font-weight: 400;\">It\u2019s easy to slip into the mistake of investing only in campaigns with the highest revenue generations. Think branded campaigns for example. Great numbers, high ROI.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">However, it could be possible other Adword campaigns influencing many conversions but high revenue\/ high ROI campaigns are taking credit. Instead of spending on high revenue campaigns, you would be better served by spending on those assisted campaigns.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is how you can approach this:\u00a0<\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">1. Toggle to \u201cGoogle Ads\u201d\u00a0 ( instead of all channels ) and observe how well your campaigns perform using \u201cAssisted conversion\u201d reports. Then compare your Adword spending with both direct conversion value and assisted conversion value of your campaigns.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Invest more in the campaigns that convert better, direct or associated &#8212; either way.\u00a0<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13584 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/invest.jpg\" alt=\"\" width=\"680\" height=\"284\" data-wp-pid=\"13584\" \/><\/p>\n<p><span style=\"font-weight: 400;\">In this example, you can see the branded campaign brings home some decent assisted conversion value but zero direct conversion value. In other words, that campaign is worth spending on though it doesn\u2019t convert directly.\u00a0<\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">2. Also, examine the top conversion path report. If any campaign is contributing to many conversions, it deserves your attention.\u00a0<\/span><\/p>\n<h4><b>Find out how your paid search interacts with other channels:\u00a0<\/b><\/h4>\n<p><span style=\"font-weight: 400;\">Knowing how your channels interact with others is key to smart investing and getting the max ROI. MCF overview reports are perfect for understanding inter-channel interacting.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here is how you understand mutual interaction between paid and other channels.\u00a0<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Conversions-&gt;multi channels-&gt;overview<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Go to conversion tab and select the only transaction\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Select direct, paid search and organic search<\/span><\/li>\n<\/ol>\n<div class=\"blog_img\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13585 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/online-.jpg\" alt=\"\" width=\"680\" height=\"628\" data-wp-pid=\"13585\" \/><\/div>\n<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">Source: <\/span><a href=\"https:\/\/online-metrics.com\"><span style=\"font-weight: 400;\">Online metrics<\/span><\/a><\/p>\n<h4><b>Challenges of MCF reports:\u00a0<\/b><\/h4>\n<ol>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A mismatch between standard and MCF reports: MCF reports sometimes don\u2019t match with standard reports. The reason is that by default MCF reports and standard reports use different attribution models. In MCF if direct traffic converts, the direct channel gets the credit. In the case of standard reports, the conversion is assigned to a previous non-direct campaign or source.\u00a0<\/span><\/li>\n<\/ol>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">You can easily fix this by selecting a non-direct click attribution model. Go to the Model comparison tool and select the attribution model of your choice.\u00a0<\/span><\/p>\n<p style=\"padding-left: 40px;\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13586 aligncenter\" src=\"https:\/\/www.invespcro.com\/blog\/images\/blog-images\/choice-.jpg\" alt=\"\" width=\"680\" height=\"259\" data-wp-pid=\"13586\" \/><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">2. Lookback window in only 90 days:\u00a0 In MCF, the maximum lookback window span is 90 days. It was 30 before, so it&#8217;s a big improvement.<\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">\u00a0Still, for some businesses 90 days is too short considering the length of their sales cycle.\u00a0<\/span><\/p>\n<p style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\">3. No reports on non-converts: Unfortunately you won\u2019t find any reports on non-conversions. It&#8217;s a major drawback in my opinion as by analyzing users who dropped midway, you can fix your marketing efforts.\u00a0\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400;\">Conclusion\u00a0\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400;\">There you have it, the marketers guide to MCF and frequency and recency. Google analytics provides various insights that you can use. The actionable tips shared in this article barely scratch the surface. Depending on your business, go creative, and get the best insights from the analytics dashboard.\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\"> 11<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>Quick questions: Do you know who your most loyal customers are? And do you have a crystal clear idea about how your conversions are taking place?\u00a0 As a marketer, you want to increase your conversion rate. But in order to do so, you must understand your audience better and track your conversion.\u00a0\u00a0 The good news [&hellip;]<\/p>\n","protected":false},"author":50,"featured_media":13587,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36,11],"tags":[],"class_list":["post-13565","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cro","category-ecommerce"],"_links":{"self":[{"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/posts\/13565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/users\/50"}],"replies":[{"embeddable":true,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/comments?post=13565"}],"version-history":[{"count":0,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/posts\/13565\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/media\/13587"}],"wp:attachment":[{"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/media?parent=13565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/categories?post=13565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.invespcro.com\/blog\/wp-json\/wp\/v2\/tags?post=13565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}