How To Set Up Conversion Funnels In Google Analytics – The Video? (Solution)

What is Google funnel?

  • In Google Analytics, a funnel is a navigation path (series of web pages) which you expect your website users to follow, to achieve website goals. A funnel is made up of a goal page(s) and one or more funnel pages (also known as the funnel steps).

How do I create a conversion funnel in Google Analytics?

To do so, follow these short steps:

  1. Go to Admin > Goals > +New Goal > Choose a Goal (e.g. Place an order).
  2. Select “Destination” Goal > Goal Details.
  3. Turn on the “Funnel” switch.
  4. Name each step of the funnel and add a URL. You can also specify whether a step is optional (flexible) or required (strict).

How do I create a conversion in Google Analytics?

How to Set Up Conversion Goals

  1. Step 1: Create a New Goal. First, on the Google Analytics dashboard, you’ll see ‘All Website Data’ on the top-left corner.
  2. Step 2: Choose Goal Setup.
  3. Step 3: Enter Goal Description.
  4. Step 4: Enter Goal Details.
  5. Step 5: Start Recording.
  6. Step 6: View Your Data.

What is conversion funnel in Google Analytics?

In marketing, goal funnels (or conversion funnels) are simply a sequence of action steps that your leads must go through in order to “convert” (e.g. buy one of your products). On Google Analytics, each step of a goal funnel represents a step on your website that must be completed to achieve a Google Analytics Goal.

How do you make a conversion funnel?

The following eight steps will help you turn more of your visitors into leads, and more of your leads into customers.

  1. Map out your ideal buying process.
  2. Set up your conversion goals in Google Analytics.
  3. Build interest with content.
  4. Identify leaks in your website conversion funnel.
  5. Optimize for conversions.

Which of the following is an example of a conversion in Google Analytics?

Examples include a completed sign-up for your email newsletter (a Goal conversion) and a purchase (a transaction, sometimes called an Ecommerce conversion). A conversion can be a macro conversion or a micro conversion. A macro conversion is typically a completed purchase transaction.

What is a virtual PageView?

A Virtual Page View (VPV) is a PageView in Google Analytics that has been tracked even though no page actually exists. There are many examples of where it is necessary to use Virtual Page Views for Google Analytics: A single page checkout process. A form that does not result in a success page. A one-page site.

How do I see Conversions in Google Analytics?


  1. Sign in to your Google Ads account.
  2. Click the tools icon in the upper right corner of your account.
  3. Under “Measurement,” click Conversions.
  4. Click the plus button.
  5. Select Import from the list of conversion types.
  6. Click Google Analytics 4 properties, then click Web.
  7. Click Continue.

How do you create a funnel in a data studio?

Steps to Build a Funnel on Google Data Studio

  1. Step 1: Opening Google Data Studio.
  2. Step 2: Adding Data.
  3. Step 3: Adding a Chart.
  4. Step 4: Adding Dimensions and Metrics.
  5. Step 5: Modifying the Chart.
  6. Step 6: Creating Formulas for the Ratios.
  7. Step 7: Adding and Designing Scorecards.
  8. Step 8: Placing the Scorecard on the Bar Chart.

What funnel visualization in analysis would you use to analyze how your funnel changed over time?

Standard Funnel is the one that you are probably most used to. It is a bar chart that shows how many people completed each step, what is the drop-off. Each funnel step gets its own line in the line chart and you can see how they changed over time.

What is a trended funnel?

A Trended funnel is a line chart of the funnel steps so that you’re able to view the funnel’s trends. If something’s not right in your funnel in the last month, you will be able to spot it here.

6 Ways to Set Up Funnels in Google Analytics

The analysis of the client journey is critical to the optimization of conversion rates. However, how can you monitor user journeys in a way that is consumable, visually appealing, and beneficial to the end user? Of course, funnels will be used! The use of Google Analytics’ funnel monitoring feature is one of the most effective ways to pinpoint exactly where you’re making mistakes. I’ll show you six funnelfeatures in Google Analytics that can help you increase your conversions by identifying where prospects are losing interest in the sales process.

What are Google Analytics funnels, and why are they important?

Users of websites follow defined pathways from beginning to end, and every website has a specific aim in mind for its visitors. Google Analytics funnels track this trip so that you may enhance your website and guarantee that users reach their objectives. For example, when prospects arrive on your webpage, you may want them to do one of the following:

  1. Go to the category page by clicking here. Visit the product page for a specific item
  2. Add a product to their shopping basket
  3. View their shopping basket
  4. Complete their purchase
  5. View the confirmation page

By examining how users navigate across your site, you can improve their overall experience. For example, a funnel study that reveals a high departure rate on product category pages indicates that visitors aren’t finding what they’re looking for, which might be due to clumsy or unhelpful product filtering. Ultimately, you want to increase the number of conversions. With the use of analytics funnels, you can pinpoint the specific step of the customer experience that is causing the most abandonment.

Strict funnels vs. flexible funnels

In a stringent funnel, a user must follow a predetermined sequence of linear steps, and they are not permitted to skip or add stages. A rigorous funnel would look something like this:HomepageCategory PageCartCheckout A rigorous funnel, on the other hand, is useful primarily as a model for identifying possible drop-off spots in an idealized path. In the actual world, the user’s journey is certain to be different. (The “death of the linear funnel” has been discussed in the Harvard Business Review, among other publications.) In order to account for this fact, you might employ a funnel model that is adaptable.

Individuals do not all take the same path before becoming a lead or making a purchase from a company.

Flexible funnels are designed to accommodate these variances.

Therefore, flexible funnels are more suited to the real-world user journey than rigid funnels.

Consider the following path, for example: HomepageStory PageProduct PageCategory PageProduct PageCartCheckoutProduct PageCategory PageProduct Page Users must visit the stages highlighted in bold at some point throughout their trip, but they can still complete the funnel criteria no matter which pages they view in the interim.

When should you use a strict or flexible funnel?

Prospects at the top of the marketing funnel are only getting to know you and your products or services. Don’t be concerned if they fail to adhere to a precise course. Because, after all, you can’t reasonably expect everyone to see the same pages (in the same sequence) during the first investigation period. However, after a prospect has made the decision to purchase (and is towards the bottom of the funnel), you can anticipate them to take a more particular sequence of actions to complete the transaction.

A page or other site aspect is most likely diverting the prospect’s attention away from the ultimate aim.

A funnel will not tell you the “why” behind a dropout, but polls, surveys, and other qualitative analysis will be able to provide you with such information.

Alternatively, you may discover that a jumbled collection of Instagram links deters people from doing the necessary action.

Google Analytics funnel visualization reports

We’ve discussed what analytics funnels are, why they’re important, and the differences between rigid and flexible funnels. As an example of how to increase conversion optimization, I’ll explain six Google Analytics funnel features that track prospects’ travels in the next section.

1. Goal funnels

  • Why did you chose this particular funnel type? Using the funnel function is a wonderful option for novices who want an accurate report that they can further refine by adding more details.

For a Goal funnel to work, you must first create a goal in Google Analytics and then specify the funnel path for it. To accomplish this, simply follow these simple steps:

  1. Go to AdminGoals+New Goal and create a new goal. Select a goal (for example, placing an order)
  2. GoalGoal Details
  3. Select “Destination” GoalGoal Details
  4. The “Funnel” switch should be turned on. Each phase of the funnel should be given a name and a URL. A step can also be specified as either optional (flexible) or mandatory (strict)

In Google Analytics, once you’ve entered all of the essential information, you’ll be able to see the results under “Conversions.” You may access several reports to learn about user behavior under the “Goals” area, such as “Goal Flow,” which is located under the “Goals” section. In addition, there is a significant limitation: segments cannot be applied to Goal funnel reports. All site visitors from that view are included in the goal funnels. Creating a custom horizontal funnel is required if you want to track performance based on the traffic source, device, or any other segment (detailed below).

2. Reverse Goal Path funnels

  • Why did you chose this particular funnel type? This funnel is a one-of-a-kind method of identifying and reversing conversion issues and opportunities.

The most straightforward way to think about reverse goal funnels is that they follow a user’s trip backward across your site from conversion to entry. This one-of-a-kind conversion route shows frequent stages to conversion while also highlighting steps that should be avoided. You should proceed to:ConversionsGoals once you have at least one goal put up. Reverse the goal-directed path You’ll notice a total number of Goal Completions as well as the pages that people viewed prior to completing that Goal.

You may export the data as a CSV file and use a pivot table to detect similar pathways, or you can use other methods to analyze the information.

However, it will assist you in determining whether or not the most popular pathways are the desired ones.

Suppose you discover that the vast majority of visitors arrive at a target through a page that has been neglected for a long time. You may then devise a plan for increasing traffic to that particular page.

3. Ecommerce Shopping Behavior Report

  • Quite simply, reverse goal funnels follow a user’s journey backward across your website, from conversion to entrance. This one-of-a-kind conversion pathway indicates frequent conversion processes while also highlighting actions that should be avoided. You should proceed to:ConversionsGoals whenever you have at least one goal put up. Goal Path Reversal Count the number of Goal Completions and the pages that visitors viewed prior to completing the Goal will be displayed to you in the Results section. You can only go back three steps in the Reverse Goal Path feature at the time of writing. You may export the data as a CSV file and use a pivot table to uncover common pathways, or you can use other methods to dissect the data in other directions. To discover common drop-offs, Reverse Goal Path is not the ideal method. You may use it to determine whether or not the most popular routes are indeed what you want. Perhaps you’ll discover, for example, that the vast majority of visitors arrive at their destination through an old, forgotten page. A plan for increasing traffic to that particular page may then be developed.

This funnel is just for ecommerce transactions, and it requires that you enable Enhanced Ecommerce. To access the data from the funnel, navigate to the following pages: ConversionsEcommerceShopping Behavior This Google Analytics feature keeps track of the number of user sessions that occur at each stage of the conversion funnel. The percentage of visitors who came at the current stage via the prior step is also displayed visually on this page. Drilling down to certain metrics or pages is also available.

One of our fashion accessory clients had a significant drop-off between the homepage and a product page on their website.

Because it was too tiny and hidden, the navigation menu could not effectively exhibit the items and product categories that we had to offer, especially on mobile devices.

Shopping Behavior reveals how many people have looked at each product and which pages are the least compelling, making it an excellent starting point for search engine optimization efforts.

4. Checkout Behavior

  • Why did you chose this particular funnel type? When you use this funnel, you will receive detailed and complex data for checkout form fields.

It is possible to see a funnel within a funnel using Google’s funnel visualization function. (Funnelception!) Within the Ecommerce area, Checkout Behavior displays when consumers abandon their shopping carts throughout the checkout process, organized by form field (e.g. email, phone, address, credit card number). You can find out which field creates the greatest friction by looking at the data. Users may begin the checkout process and input their email address (which is often not a drop-off point) but exit the page when the payment information forms are displayed, for example (which usually is a common drop-off point).

5. Horizontal funnels via custom reports

  • Why did you chose this particular funnel type? If you want to compare conversion routes for different categories of visitors, you may use this funnel to do complex segmentation.

When comparing drop-off points by section, horizontal funnels are a useful tool to use. As the name implies, funnel stages are displayed horizontally rather than vertically in order to save space. The abandonment rate between funnel phases (rather than the completion rate, as with Goal funnels) and the number of visitors for each step are provided by the funnel. Due to the fact that horizontal funnels do not backfill stages, they are also more accurate than goal funnels. Google states that the goal funnel visualization “backfills any skipped stages between the step at which the user entered the funnel and the step at which the user departed the funnel,” meaning it fills in any steps that were skipped between the phases at which a user entered and exited.

a product page visit).

After you’ve created your goals, navigate to the Custom Reports area of Google Analytics’ Customization section and click the +New Custom Report button.

Organize the Statistic Groups section such that each Goal Completion is shown in chronological order, with the Abandonment Rate metric appearing between each Goal Completion:

  1. Compliments on goal 1, abandonment rate on goal 2, completion rate on goal 2, abandonment rate on goal 3, completion rate on goal 3, etc.

Adding dimensions to the Dimension Drilldowns portion of your Custom Report while creating your Custom Report will allow you to sort your data by any custom dimension (landing page, city, browser, and so on). Once you’ve produced the report, you’ll be able to add numerous segments to the same report in order to examine how different visitors engage with different areas of your funnel, which is not possible with a traditional Goal funnel. The ability to detect segments that perform identically except for one drop-off point will be very valuable.

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Prospects, repeat consumers, and cart abandonment are three areas that we recommend examining.

6. Custom Funnels in Google Analytics 360

  • Why did you chose this particular funnel type? This funnel allows for extensive customisation, allowing you to splice data by practically any variable.

Custom Funnels are a feature available solely to Google Analytics 360 users. They allow you to construct a funnel for any trackable user activity or behavior. For example, you may utilize pageviews and events as steps in a funnel—the options are virtually limitless in this regard. To build a Custom Funnel, navigate to the following page: CustomizationCustom Reports+New Custom Report. Then, under the “Type” column, pick “Funnel” from the drop-down menu. You may specify funnel phases by Google Analytics Dimensions, including custom and ecommerce dimensions, in the “Funnel Rules” section that appears below.

You may categorize funnel phases based on the Event Label, Action, and/or Category that they correspond to.

  • Can enter at any point during the process
  • It is necessary to enter at a specific stage
  • In a single session, complete the funnel
  • The funnel should be completed in several sessions.

Custom Funnels report also allows you to employ retargeting to engage consumers who have abandoned a certain stage along the process. (In addition, you may construct a more sophisticated section for the same group of people.)

Using custom segments to get more granular with your funnels

Custom segments can be added to any funnel in order to splice data even further. In terms of data segmentation, there are countless options, including geographic and gender divisions, browser and landing page segmentation and more. For example, you may display funnel data that has been filtered to include only mobile traffic, or you can compare mobile data with desktop data side by side: These insights might assist you in prioritizing which portions of your site should be optimized first. For example, if the mobile version of your website is doing poorly, you may discover the elements of the user experience that are the most annoying.


Filling in the gaps in your customer’s user experience is a significant potential to improve revenue. However, in order to repair those holes, you must first identify where they are. It is possible to utilize a tight funnel as an outline to develop a flexible funnel, which is the type that consumers will really follow. The six Google Analytics funnels discussed in this piece identify drop-off points on both a global and micro level to help you improve your results. It is important to choose the proper one for your site based on the sort of site you administer (for example, ecommerce vs.

segmented vs. not). Drop-off points assist you in determining which pages or page elements should be tested in order to enhance overall performance. This testing, in turn, indicates why prospective consumers are abandoning their shopping carts—and what may be done to remedy the situation.

Goal Funnel Visualisation

  • Website navigation: Home/
  • Insight and Inspiring/
  • Marketing/
  • Goal Funnel Visualization in Google Analytics.

Whenever you make a purchase or a conversion, Goals is the most useful tool since it informs you of conversions or actions that have taken place. When evaluating the success of visitor interactions on a website, it is critical to establish goals. The Engagement Value Points (EVP) feature in Sitecore, for example, enables users to give EVP to objectives based on how significant a certain action/goal is. Goals can also be set up in Google Analytics(GA) for tracking purposes. Goal funnels may be used to visualize the path that leads to conversion.

  • Completion of all goals in total
  • It is the number of times a certain objective has been activated. The monetary worth of the objective or the cost that can be attached with each activity
  • The percentage of total goals converted
  • The pace at which users/sessions are being converted is measured in percentages. The source/medium via which people were directed to the site and the objectives that were activated

As a result of these measures, a scorecard may be created (numerical values). If you want to assess how well they’re doing and examine each step in the context of the overall picture, you’ll need to invest some time. A component of Google’s funnels, called Goal Funnel Visualisation, makes this easy to do.

What is goal funnel visualisation?

This advanced feature of theGoalssetting allows you to graphically analyze the route towards a conversion by using goal funnel visualizations (or goal).

Benefits of enabling goal funnels in GA

The visualisation on the left of the above image depicts the pages that the user viewed before taking action or converting to a customer. The number of people who fell out of the trip at that point and went on to depart at the URLs listed to the right of the funnel, as shown by the red arrow, is represented by the list of URLs to the right of the funnel, followed by the red arrow. The number of users who have successfully proceeded to the next level of the funnel is represented by the arrow that points all the way to the end of the funnel.

For instance, poor copywriting, poor design, unclear component arrangement, and so on.

The first step in increasing your overall conversion rate is to do just that.

Do you like what you’ve read so far?

Setting up a funnel

Using Google Analytics, you can start by establishing a simple objective and subsequently adding complex elements for the visualisation. This may be accomplished by selecting Adminor theGearicon at the bottom left of the Google Analytics dashboard and then selecting theViewsection at the top right of the dashboard to the right of the dashboard.

Step 2: Configure the goal

Click the redNew Goalbutton, select Custom from theGoal set-updropdown box, and then clickContinue to complete the process.

Step 3: Goal description

Specify the desired outcome. It is critical that you adhere to a naming conversion throughout the GA set-up process. For example, PDF-Best company ever 2020document is a PDF document. Always be sure to leave theGoal ID/Goal Set at whatever Google has selected. If this is changed, it may cause other objectives that are currently on the website to be replaced.

Select the type of objective you wish to achieve. Everything up to this point has been done in the same manner as you would ordinarily set a goal in Google Analytics. ChooseDestinationand then clickContinueif you want to create a visualisation and include steps in the process.

Step 4: Goal details

Specify the web page to which you want to redirect (the page where the actual conversion takes place). There are three different methods to indicate this:

  1. This is equivalent to: the specific page on which the objective is set up, or a thank you page. As an illustration: /thank you
  2. It all starts with: It is a page that starts with a certain URL or screen name. As an illustration: /blog
  3. The following is a regular expression: This is an alternative. Is a little more difficult to understand than the others. We recommend that you become familiar with regular expressions and how they function before deciding on this choice.

The specific page where the objective is set up, or a thank you page, are equivalent. As an illustration: /thank you. The following is the starting point: A web page that starts with a specific URL or screen name. /blog, for instance. An example of an expression that is regular is: You can choose this choice. Is a little more difficult to understand than the other options. We recommend that you familiarize yourself with regular expressions and how they function before deciding on this choice.

The ‘Required’ button

By selecting theRequiredbutton, you can ensure that only people who begin at the beginning and complete the last step are taken into consideration. The report will be accessible at the following address if you have successfully built a goal with a funnel visualisation: Optimisation of conversionsGoalsFunnel visualization Many of our customers have benefited from our Google certified team’s assistance with Google Analytics. More information about how ourAnalytics servicecan assist with funnel setup, or if you want assistance in knowing how to get the most out of Google Analytics and other marketing setups, please get in contact with us.

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Learn how to get the most out of Google Analytics by following these steps. Create segments and goals to help you improve your data so that you can make better decisions based on it.

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Users’ conversions and Ecommerce transactions are credited to the most recent campaign, search, or ad that referred them when they converted in Google Analytics. However, what influence did previous website referrals, searches, and advertisements have in that conversion is unclear. The amount of time that elapsed between the user’s initial interest and his or her purchase was recorded. TheMulti-Channel Funnelsreports provide answers to these and other concerns by demonstrating how your marketing channels (i.e., the sources of traffic to your website) work together to generate sales and conversions for your products and services.

They may, on the other hand, have learned about your company through a blog or while looking for certain products and services online.

In this post, we will discuss:

Video introduction to Multi-Channel Funnels

Using conversion routes, which are the sequences of events (such as clicks and referrals from channels) that led up to each conversion and transaction, the Multi-Channel Funnelsreports are built. As a default, conversion routes only contain interactions that took place during the recent 30 days; however, you may change this time period from 1-90 days by using theLookback Windowselector at the top of each report.

Interactions with practically all digital channels are included in the conversion route data. These channels include, but are not restricted to, the following:

  • Including paid and organic search (across all search engines and for the exact keywords sought)
  • Referral sites
  • Affiliates
  • Social networks
  • Email newsletters
  • Bespoke campaigns that you’ve developed, including offline efforts that bring visitors to vanity URLs
  • And other sources.

Including paid and organic search (across all search engines and for the exact keywords sought); referral sites; affiliates; social networks; email newsletters; bespoke campaigns that you’ve built, including offline ads that deliver visitors to vanity URLs; and other sources.

What the Multi-Channel Funnels reports show

In the reports, channels are awarded based on the roles they play in conversions—that is, how frequently they supported and/or completed sales and conversions on behalf of the customer. With the Assisted Conversionsreport, you can see how many sales and conversions each channel has started, assisted with, and finished, as well as how much money those conversions and sales were worth. Read Analyze channel contribution to learn more about how to interpret this report. The Top Conversion Pathsreport details the many conversion routes that your clients followed on their approach to making a purchase from your company.

(Please keep in mind that the lookback window you select has an impact on these reports.) Read Analyze conversion routes to learn more about how to understand these data.

Find the Multi-Channel Funnels reports

To view the Multi-Channel Funnelsreports, go to the following URL:

  1. Log into your Google Analytics account
  2. Navigate to the view you want
  3. Create a new report
  4. Choose ConversionsMulti-Channel Funnels from the drop-down menu

The reports offer information about channels that have been found automatically. If you’ve enabled tracking for Google Ads, this information will also be displayed. See the section on Setting Up Multi-Channel Funnels for further details. Read About MCF Channels to learn more about how channels are designated in reports. To guarantee that yourMulti-Channel Funnelsreports cover all channels, please see the section titledSet up Multi-Channel Funnels. Read the following articles to gain an understanding of how to interpret the reports.

  • The principles in the Assisted Conversionsreport are explained in detail in Analyze channel contribution. Analyze conversion routes teaches how to read the Top Conversion Paths, Time Lag, and Path Lengthreports
  • And Analyze conversion paths shows how to interpret the Top Conversion Paths, Time Lag, and Path Lengthreports. How to isolate and analyze particular subsets of conversion routes using Conversion Segments is explained in detail in the section Segment conversion path data. Understanding your conversion funnel can help you develop channel strategies that will help you improve the effectiveness of your marketing initiatives.

Read About Multi-Channel Funnels data to find out more about how Multi-Channel Funnels data is gathered and computed in greater detail. Was this information useful? What can we do to make it better?

Setting Up Your Conversion Funnel: A Step-by-Step Guide

Whenever marketers witness a low number of conversions or online orders, they may quickly conclude that they need to increase the amount of visitors to their websites. When it comes to acquiring adequate traffic and quality leads, the most common problem is that your website and funnel contain flaws that need to be fixed. Whether you work for an eCommerce firm or a B2B enterprise, funnels are an excellent tool for identifying leaks and tracking conversion drop-offs. Conversion funnels, also known as sales funnels, are diagrams that assist you see the number of steps a user must take in order to fulfill a certain marketing aim or goal.

Throughout this article, we’ll walk you through the process of setting up your funnels, the reports you can generate, and what you can do to increase conversions.

How to set up goals and funnels in Google Analytics in 3 simple steps

Be aware that Google Analytics does not compute Goal data, including funnel data, in the past. This is important to remember before getting started. These will only begin to function when you have created them. Another essential point to note is that goals display session monitoring but do not contain multi-session tracking; this is vital to understand because some users may accomplish objectives in more than one session.

1- Goal Set Up

You will need to enter a goal description and choose a goal type. There are four different sorts of objectives. When a visitor lands on a given page, Google knows that a goal has been achieved since the destinationURL destination objectives have been set. Input the URL that a visitor will be directed to after accomplishing the objective (if applicable). Consider the following scenario: if you want to put up “checkout finished” as a goal, the thank-you page or order processed page may be an appropriate URL destination to utilize.

  • You may track the number of visitors that stayed on your website for a specific number of minutes, or for less than a specific number of minutes, by using a counter.
  • Per session, you can view a maximum of pages or screens.
  • Event The objectives of the event are more complicated and need greater preparation.
  • It is accessible for usage on both desktop and mobile devices.
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3- Goal Details

Following completion of the Goal information, you can begin setting up your funnel phases. We’re going to utilize the aDestinationtype of goal for “checkout done” in this example because it’s one of the most popular cases. Due to the fact that Shopify, for example, identifies URLs differently, the URLs that you see on your browser may not be the URLs that you need to use for your funnel configuration. Using the All Pages report, you may find out where the “checkout finished” URL is located, for example.

What factors should I consider while selecting match types?

  • This is equivalent to: a perfect match on every character in the URL
  • It all starts with: Make use of this option if your page URLs are usually identical, but they have extra parameters at the end that you wish to avoid seeing
  • Wildcard and flexible matching are made possible by regular expressions, which employ special characters to do this.

If you are still unclear about the match type to employ for your objective, you may go to this Google Analytics page for more information. Are you using the Ecommerce Tracking code to keep track of a transaction or purchase you made? Then you may leave the Goal Value field blank. The actual amount of the transaction will display in the revenue metric (rather than the goal value meter), and it will be derived from the Ecommerce Tracking code that is included inside your shopping cart. Steps are being added.

The most important thing you can do is to test the funnels ahead of time.

In the following example, we will design a funnel with the end aim of completing the checkout process, and the beginning point of the funnel will be the new collection page.

The conversion page does not need to be the final step in your funnel. Before you save it, you can double-check your objective using data from the previous seven days to ensure it is still relevant.


You may view many reports to monitor performance once you have set up your objectives and funnels (because they are not retroactive) and have waited a few days (since they are not retroactive). Funnel visualization and reports are the first step. Goals Visualization of a Funnel This report offers a high-level overview of the client’s journey, depending on the goals and actions that you previously established for the customer. It is possible to see the user’s behavior at each stage of the funnel.

  • What is the percentage of sessions that have finished the first step of the funnel and reached the objective out of the total number of sessions that have begun on the first step of the funnel?
  • Because it was taken recently, the screenshot below does not include a great deal of information, but it has been included for reference reasons.
  • On average, 3.3 percent of all sessions result in a transaction being completed.
  • Source 2- Reports on the flow of the goal Objects of StudyObjects of Study Flow The Goal Flow report is an interactive graphic that depicts the trip that visitors have taken via the website in order to reach a specific goal (or objective).
  • You can see conversions by source and Advanced Segments with this feature, although it normally needs a bit more investigation.
  • It may take you down a road that you were not expecting, or it could take you right to the point where you had previously planned.

3 things you can do now to optimize your sales funnel

In order to determine which phase in the conversion process is preventing visitors from converting, funnel conversion analysis should be carried out in conjunction with other insights such as qualitative research, surveys, and other tools and reports. Also, this shouldn’t be a one-time report that you generate, but rather a long-term study that regularly feeds back information to enhance marketing processes and procedures. 1- Determine the source of the leaks The experience that your users have on your site should be tailored to their requirements and should be mobile-friendly.

  1. Find the high-traffic, high-exit pages on your website where people are abandoning their shopping carts.
  2. 2- Determine where the high-converting traffic originates.
  3. For example, using funnels to identify problem areas and accomplishments that can be built on may help you increase your sales by identifying where your potential consumers are coming from, which can help you increase your profits.
  4. If you already have these operating, have a look at their performance and do a brief audit on them.

Nurturing email flows with discounts and promotions for certain items can also be included in your marketing strategy. When it comes to nurturing leads and boosting retention and conversion, email marketing automation technologies are quite effective.

Ready to get started?

Implementing these few steps will assist you in getting started with conversion funnels and in obtaining the reports you want to begin the funnel optimization process. Other methods of seeing your conversion statistics include creating custom dashboards or reports, as well as importing data from Google Analytics and other platforms. Either of these alternatives is suitable for sending frequent conversion reports to your superiors or clients regarding their conversions. In order to obtain insight into the customer journey for both online and offline sales, you may look at systems like asImprovado, which consolidate all of your marketing and order data into one place, which can then be seen using your choice business intelligence or visualization tool.

Our recommendation:

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Tracking Funnels With Google Analytics Enhanced Ecommerce Tracking

Did you know that you can track anyfunnels in Google Analytics if you use Enhanced Ecommerce to do so? In the absence of an eCommerce store, it is possible that you have never considered using Enhanced Ecommerce tracking as part of your standard tracking settings. If that’s the case, it’s time to improve your game in terms of data analytics. Whatever your business, whether it’s an online store or a lifestyle blog, you want your customers to engage with your website in certain ways. With Enhanced Ecommerce tracking in Google’s Universal Analytics, you can see the sequence of actions that your users take to reach their ultimate goal (which is typically a conversion).

This includes how to complete all of the above tasks even if you do not have Google Analytics installed on your eCommerce web site.

  • In this article, we will discuss how to set up a goal funnel, the problem with goal funnels, and enhanced ecommerce tracking functionality. The following steps are required: Creating Funnel Event Tags for Step 1 (Page View)
  • Creating Funnel Event Tags for Step 2 (Button Click)
  • Creating Funnel Event Tags for Step 3 (Form Submission)
  • Creating Funnel Event Tags for Step 4 (Form Submission). Making the transition from raw event data to the Checkout Behavior Report Are Non-eCommerce Websites Able to Benefit from Enhanced Ecommerce?

How to Set Up a Goal Funnel

Funnel visualizations are most commonly associated with theGoal Funnel, which you can construct in your Google Analytics and track how many people have gone through each phase of the funnel. Unfortunately, I don’t have one set up right now, however in most cases, you can establish them under yourGoalsSettings. To do so, navigate to AdminGoals and choose aGoal. Then, underGoal specifics, provide eachFunnelstep that you wish to have recorded in your Google Analytics account. You can see it in this Funnel Visualization Report, which you may download.

The Problem with Goal Funnels

Funnel visualizations are most commonly associated with theGoal Funnel, which you can construct in your Google Analytics and track how many people have passed through each stage of the funnel. Unfortunately, I don’t have one set up right now, however you may usually specify them inside yourGoalssettings.

Go to AdminGoals and choose a goal from the list. Then, underGoal specifics, specify eachFunnelstep that you wish to have recorded in your Google Analytics account for each of your goals. This Funnel Visualization Report shows you how to visualize it.

Enhanced Ecommerce Tracking Functionalities

With this functionality, you may identify distinct eCommerce functions, such as products, check out and purchases, with different labels. It is our intention to deviate from the norm and create a funnel visualization for our own reasons, even if we do not operate an eCommerce website at all. This provides us with the advantage of being able to know how many individuals traveled through this funnel. We will also be able to create an Ecommerce sector out of the folks that left out, which would be quite beneficial.

  1. To demonstrate all of this, I’ve prepared a small example for you.
  2. The click of the apply now button would be the second funnel step in this scenario.
  3. We will receive an accurate depiction of the number of individuals who have viewed an offer, how many people have clicked on the button, and how many people have completed our form.
  4. Currently, we have a standard pageview Tag set up in our Google Tag Manager account, and we want to pass the data from this interaction across to Google Analytics.

Creating Funnel Event Tag For Step 1 (Page View)

So, the first thing we want to check is whether or not anyone has looked at our offer. This will be accomplished through the use of Event Tracking. Now, let’s send a notification to the server whenever someone views this page. Let’s go to Google Tag Manager Tags New and create a new tag. This will serve as our Tag for Step 1, and it will be activated when the offer is accessed. Select a Universal AnalyticsTag type, and then input your Tracking ID in the appropriate field. Let’s go with Event as the Track Type.

  1. The Non Interaction Hit will be set to True because it will be fired upon our pageview, and we do not want it to have an impact on our bounce rate.
  2. After that, we’ll create a new trigger.
  3. This trigger will only be activated on some page views when thePage Path equals/offer/, and not on any other page views.
  4. Now, click onCreate Tagand give it a go to see how it works.
  5. Once you’ve done that, return to our offer page and refresh it.

Ideally, we should be able to view this in ourReal-Timereporting in theEvents section as well. If your Real-Time report displays EE FunnelunderEvent Category andStep 1underEvent Action, this indicates that the Tag has been properly configured.

Creating Funnel Event Tag For Step 2 (Button Click)

After that, we want to monitor Step 2, which involves clicking on ourapply nowbutton and completing our application form. You can learn more about button click tracking with Google Tag Manager in our tutorial toButton Click Tracking with Google Tag Manager. It is our intention to attach this trigger to our Tag, which will be a slightly modified version of our initial Tag. To access your pageview Tag, click on it. After that, clickCopy. Rename your Tag to reflect the second phase in your funnel, and you’re done!

  • Because this is a hit that would have an impact on the bounce rate, you can setNon Interaction Hit toFalse.
  • Select your button click trigger from the drop-down menu.
  • Then, under Variables, make sure that Built-in Variables are enabled.
  • To activate the trigger button, press it.
  • This should also be visible in the Active Usersreport, which can be found underEvents in the Real-Time Reporting.

Creating Funnel Event Tag For Step 3 (Form Submission)

All that remains is for us to keep track of the third step, which is the submission of the form. I’ve already set up a trigger for this, which you can learn how to accomplish in our tutorial on Google Tag Manager’s Auto-Event Tracking with Google Tag Manager. Copy and paste one of your previous funnel Tags into this one. Tags should be renamed as follows:GA – EE Funnel Step 3 – Form Submit. Change theAction to Step 3 and theLabel to Form Submit in order to configure the tag. Select the conversion trigger from theFire On drop-down menu and build the Tag.

Now, we’ll navigate to our Contact Us page and submit a test data submission using the form provided therein.

Gtm.formSubmit has been fired, and our Funnel Step 3 Tag has been activated.

You can see that the third step of the funnel was completed.

Going from Raw Event Data to Checkout Behaviour Report

So, now that we have all of the interactions gathered in Google Analytics, we can use all of the data that we have in the event report to work out a funnel. However, what would be the next stage in the process of going from raw event data to a checkout behavior report that we might utilize to make decisions?

Enable Enhanced Ecommerce Reporting

First and foremost, we’ll need to set up our Google Analytics account. In the Adminsection, you can access your Ecommerce Settings, and even if you don’t have an eCommerce site, you can still go ahead and create the various phases in your sales funnel.

Labeling Checkout Funnel Steps

All you have to do is activate EcommerceTracking, enableEnhanced Ecommerce Settings, and then put your funnel stages directly into the system. These are simply labels, after all. As a result, you may give them whatever name you wish. Just make sure that they are in the correct order, such that Step 1 is the first funnel step in your funnel. This is the Offer in our hypothetical situation. The second step would be to click on the Apply Now button. You would not enter funnel Step 3 since this is a one-time transaction that would be transmitted to Google Analytics, and so would not be entered.

As a result, you only need to identify the phases that lead up to the actual conversion, rather than the last step of the goal funnel. Once you’ve finished, click the Submit button.

Install Enhanced Ecommerce Tracking Variables in GTM

This will set up your Google Tag Manager account so that it can submit the appropriate data. All that is required is the installation of Enhanced Ecommercetracking variables. All that is required is that we model the eCommerce object in the manner described in the developer resources for Enhanced Ecommerce standards. Consider the following scenario: a data layer puts an eCommerce item into the data layer, which may then be picked up by Google Tag Manager and pushed on to Google Analytics. There’s a lot of information in this file that isn’t essential for our objectives.

  • For your convenience, I’ve prepared a few variables that you might want in a Tag template, which you can download as Enhanced Ecommerce Funnel Tracking Template.
  • Choose our file, which is namedeefunneltracking.json, from the drop-down menu.
  • This will result in the creation of four new variables.
  • In addition, three funnel phases will be added as User-Defined Variables as a result of this.
  • In the first case, we would just return our eCommerce product with theactionFieldas values.
  • The second one is the same as the first, with the exception of Step 2.
  • The next thing we want is a unique identifier for this purchase.
  • function() returns ‘ecommerce’: ‘purchase’: ‘actionField’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘id’: ‘
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Building Tags for EE Tracking Variables

The only thing left to do now is to link these variables into their appropriate Tags after everything has been created. We’ll go into our Tags and choose the improved options for the first funnel phase, which will take us to the next step. We’ll go to the More options section and find the Ecommerce Features section. We can activate theEcommerce Features, however we will not enable theUse data layer option because of security concerns. We will pick Funnel Step 1 for the Read data from variable and then save the tag by clicking Save Tag on the toolbar.

For the second step, we repeat the process, except this time we pick our Step 2 variable.


So let’s go ahead and reload the page in Google Tag Manager to see how this works. We can see that our event has been sent. In our Real-time reporting in Google Analytics and in our Google Tag Assistant, we will not be able to view this information, which is a shame. However, I have another plugin called GA Debugger, which will display the data that has been transmitted over in the developer tools to our browser. To begin, navigate to the JavaScript ConsoleunderView. We have access to all of the information that is provided to Google Analytics.

  1. The second one would be the one we’d be attending.
  2. Also worth noting are the Enhanced Ecommerce tracking action and the eCommerce Step 1 action.
  3. We will observe what happens when we press the “apply now” button now.
  4. We get additional data that has been transmitted throughout this time period.
  5. Let us now navigate to the contact us page and enter some illustrative information.
  6. We’ve received a pageview registration.
  7. You can see that the third funnel step is being sent across with the ec:action parameter set to “buy” and the ec:id parameter set to a randomly generated identifier.

It will outline the three processes that a user must complete in order to proceed to the final step: conversion, among other things.

Is Enhanced Ecommerce Useful to Non-eCommerce Websites?

In order to test everything, let’s reload the page in Google Tag Manager. Upon further investigation, we discover that our event has been transmitted across the network. In our Real-time reporting in Google Analytics and in our Google Tag Assistant, we will not be able to access this information, sadly. Fortunately, I have another plugin, GA Debugger, that will display the data that has been passed across in the developer tools. Enter the JavaScript ConsoleunderView by selecting it from the View menu.

  1. It would transmit a pageview as the initial step in this process.
  2. The eventAction has the value Step 1 in it, and we have it here.
  3. This data has thus been successfully sent.
  4. With the mouse, I use the +click or Ctrl+click keys to do this task.
  5. Ourec:actionischeckoutandec:stepis2.
  6. The JavaScript Console may be accessed by opening the Developer tools first.
  7. Afterwards, on the contact us page, we hit the “send” button.
  8. A user will be able to see the three processes that must be completed in order to reach the final step: conversion.


It was covered in this article how to use Google Analytics’ new built-in feature for Enhanced Ecommerce tracking. This feature defines certain eCommerce functionalities, such as product, check out, and purchases, and gives precise insights into the user journey along the funnel as a result of the functionality. We also discovered that even if we do not have an eCommerce website, we can still develop funnels of a similar nature. You can use our Enhanced Ecommerce Funnel Tracking Template to achieve this fast and efficiently.

Please share your experiences in the comments section below if you utilize Google Analytics’ Enhanced Ecommerce tracking capabilities for your eCommerce as well as non-eCommerce websites.

How do I set up Conversion Funnels in Google Analytics for POD?

Bring your data from the Pre-Applicant Open Day into GA for further analysis. Stephanie Stevens has written a piece for us. It was last updated more than a week ago. What is the purpose of a funnel? It is possible to observe the process/es that your student has gone through during the booking process in POD by using a Funnel feature. It will offer you with a graphical depiction of the conversion data between each stage in the process. In Google Analytics, each funnel that is established must be associated with a specific goal.

Creating a goal is as simple as the following: In your Google Analytics account, navigate to the Admin area by selecting it from the top navigation choices. Goals may be created by clicking on the ‘Create Goal’ button. Fill out all of the required fields.

  • Provide GA with the information gathered at your Pre-Applicant Open Day to conduct further analysis. Stephanie Stevens has written this article. Over a week has passed since the last update In what situation would a funnel be used? It is possible to view the process/es that your student has gone through throughout the booking process in POD using a Funnel. In between each step, it will provide you with a visual representation of the conversion data. In Google Analytics, any funnel that is created must be linked to a specific goal. Creating a goal is as simple as Navigate to the Admin section of your Google Analytics account, which can be found in the top navigation options. Goals and the ‘Create Goal’ buttons will appear. Fill in the blanks where necessary.
  • Destination equals to – this is the URL of the last stage of the booking process (the Thank You page)
  • Destination equates to If you want to keep it off, leave it selected. Set up the navigation of the funnels (each phase of the five-step booking procedure) in this section of the funnel.

Fill in the blanks with the following regexes for each step: /pod/(index)?/? /pre app open days/public bookings/choose day/? /pre app open days/public bookings/choose activities/? /pre app open days/public bookings/confirmation/? You will need to make certain that the regexes are entered with the right needed URL information, which may be obtained during the 5-step reservation procedure. I’ve provided an example of test account regexes below to show you how they should appear once they’re finished.

This will ensure that your students go through every stage of the booking process.

Following a few iterations of the booking procedure, you can verify that it is effective by navigating to ‘Conversions’ on the left-hand menu of Google Analytics, selecting ‘Goals’ and then “Funnel Visualization.” This is where you can view the drop-off and completion activity.

How to correctly configure goals and funnels in Google Analytics – Loves Data

Understanding how well your website is performing in terms of reaching its objectives is crucial, and goals inside Google Analytics help you determine whether or not visitors are converting on your site. In the vast majority of circumstances, you should be able to get up and running immediately. If everything is set up correctly, conversion data will appear in your Google Analytics home report as follows: Among the conversion measures available will be Goal Completions and Goal Conversion Rate, to name a couple.

On the right side of this page, we can see the conversions that have been recorded for our various marketing channels: For this reason, whether you’re setting up your first Google Analytics campaign or you already have some objectives set up, it’s important taking a few minutes to double-check that everything is configured correctly.

When should I use a goal in Google Analytics?

Goals, along with ecommerce conversions, are one of the most important ways for Google Analytics to report on the success of your website. You should set up goals for actions that correspond to the top-level objectives for your website — you may have up to 20 goals per view, so don’t be shy about include as many as you like. Every website is unique, however some of the objectives you could wish to set up are as follows:

  • Making use of an email subscription service
  • Completing an online contact form
  • Obtaining a resource by registering for it
  • Signing up for a membership
  • Scheduling an appointment
  • Registering for a website
  • Watching embedded videos

If you’re having trouble figuring out what your website’s objectives should be, consider how you would conclude the sentence “I want visitors to come to my website and.” This is an excellent approach to get started with goal setting.

Are goals in Google Analytics retroactive?

Unfortunately, they are not retroactive in nature. It is necessary to create a goal before you can begin to see data emerge in your reports. This is why objectives should be set as early as feasible in the year and why they should be reviewed on a regular basis throughout the year.

Maintaining your Google Analytics system by ensuring that your goals continue to match your aims and are configured appropriately is a crucial element of keeping your implementation current.

Types of goals

In Google Analytics, you can put up four different sorts of goals: conversions, acquisitions, and retention.

  • The aim of a destination page is reached when a certain web page is visited, such as the ‘thank you’ page for a newsletter subscription. Time span: a session has lasted for a specified amount of time, for example, 10 or more minutes
  • Users have visited a minimal amount of pages throughout the session, as shown by pages per session. An event is an occurrence that you have programmed into your website in order to submit to Google Analytics as a tracking identifier. For example, a user may have clicked on a link to a social networking service to learn more about it. Smart Goal: This sort of goal will automatically track conversions for the people who are the most engaged with your website’s content. This option will only be accessible if you have Google Ads linked to Google Analytics, and you have had at least 500 hits from your advertisements. When determining whether a transaction should be counted, it makes advantage of Google’s machine learning technology.

Getting started

We’ll go over the procedures to set up the most common goal – a destination goal – in this section of the tutorial. This is where someone has visited a certain page on your website, such as a ‘thank you’ page that appears after they have subscribed to your email newsletter, but has not completed the action. Begin by visiting your website and travelling through it, completing all of the procedures you would anticipate to be required to arrive at the thank you page, and then exiting the website.

Consider the following stages as an example of how they may be structured: In this example, the visitor would first visit your homepage, then navigate to your news area, then to the newsletter subscription form page, and lastly to the thank you page for their efforts.

Setting up your goal

First, make sure that you have the appropriate degree of authority to add objectives to your account. Adding objectives to a reporting view is only possible for people who have edit-level access rights. Step 1. Navigate to the ‘Admin’ section of Google Analytics and log in. Step 2.Choose the reporting view where you wish to include a target in your report. Step 3.Click on the ‘Goals’ option. Step 4.Click on the ‘Add New Goal’ button. Step 5.If you see goal templates, I recommend picking ‘Custom’ from the dropdown menu.

  1. This gives you the ability to create your own goal from the ground up.
  2. When creating your reports, you may use the ‘Goal Slot ID’ to organize your objectives into groups.
  3. Step 8.To choose the type of aim, select ‘Destination.’ Then click on the ‘Continue’ button.
  4. The ideal scenario is that individuals only view this page if they have successfully fulfilled the objective.
  5. Step 10: Make any required adjustments to the match type.
  6. By changing this setting, you may have greater control over how Google Analytics will (and will not) match your URL.
  • Equals to: perfectly matches the URL in its entirety Consider the following scenario: if you enter/thank-you, conversions will be counted when someone views/thank-you, but not when someone views/thank-you?id=18 or/thank-you/email. Begin with: matches the URL, even if there are other information after the URL in the query string. Suppose you enter/thank-you, then conversions will be counted for visitors who view/thank-youor/thank-you?id=18or/thank-you/email
  • For example Regular expressions are used to match the URL to the correct page on the website. In the case of entering/thank-you?id=(news|contact), conversions will be counted when individuals view/thank-you?id=news or/thank-you?id=contact, respectively.

Set a monetary figure for your conversion objective in step 11. However, even though this is an optional feature, it is a really good idea to input a monetary figure for your objective — the number you submit will be included in your reports, and it will give more in-depth insights into the success of your website. For a more in-depth explanation, see my piece on determining a goal value. Here’s a simple example: if your website generates leads and you receive 100 leads that result in $5,000 in value for your company, then each lead is worth an average of $50 to your company.

Having picked ‘Destination’ as our goal type, we can now construct a funnel for that goal type.

We will be able to make advantage of the Goal Flow and Funnel Visualization reports inside Google Analytics if we take the effort to establish these stages.

I’m going to enter/news/subscribe and then name the next step after that.

In addition, I urge that ‘Required’ be set to ‘No’.

Step 13.Click on ‘Verify This Goal’ and make sure that the goal conversion rate appears to be accurate based on the data from the previous seven days before continuing.

Step 14.Click the ‘Save’ button. Your objective is now being tracked and is ready to be used. Now all you have to do is sit back and wait for goal conversion statistics to start arriving in your reporting. You’ve completed your task! That’s all there is to it!

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