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The Ultimate Introduction to

Google Analytics CHRIS BOULAS

Contents Why this eBook

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What this eBook Will Teach You

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What You Won’t Get From this eBook

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Who Is Chris Boulas?

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Introduction to Google Analytics

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How To Use Google Analytics For Your Site

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Setup & Installation

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Standard Reporting

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Advanced Reporting

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Custom Reports

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Next Steps

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Disclaimer Formulytic, Web Analytics Mastery, and Chris Boulas are not affiliated, associated, authorized, endorsed by, or in any way officially connected with Google, Google, Inc., or any of its subsidiaries or affiliates. The official Google web site is available at www.google.com. All Google, marques, logos, brand features, etc. are registered trademarks of Google Inc. The use on this website and/or in this eBook of trademarked names and images is strictly for editorial purposes, and no commercial claim to their use, or suggestion of sponsorship or endorsement, is made by the authors or publisher. Those words or terms that the authors and publisher have reason to believe are trademarks are designated as such by the use of initial capitalization, where appropriate. However no attempt has been made to identify or designate all words or terms to which trademark or other proprietary rights may exist. Nothing contained herein is intended to express a judgment on, or affect the validity of legal status of, any word or term as a trademark, service mark, or other proprietary mark.

Why this eBook Google Analytics is the most widely used web analytics platform, but it’s also the most misunderstood. As widely used as it is, there aren’t many resources available that instruct people on its proper use. I found this surprising, because we’re living in the age of content marketing and whether you’re a business owner, employee, contractor, freelancer, or anything else, you’re in the media business. That is -

Everybody has a story to tell and the bigger your audience is, the easier it is to make more money on the web. There are dozens of resources available for almost every other marketing platform and tool. From Google AdWords, SlideShare, and Twitter Advertising to LinkedIN and marketing automation platforms, users interesting in getting a jump-start or even advanced information on these platforms can be had easily. Where do you go for help on

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Google Analytics though? Google offers minimal support because it’s predominantly free. Sure, you can get an account manager with Google Analytics premium, but if Google’s knowledge base doesn’t offer what you need, you either need to take an in-person training seminar through Google’s partners or ask via online forums. Historically, the interface of Google Analytics has changed just as frequently as new reports and functionality are added, leaving their users in a position to find outdated information scattered across the web. From my perspective, there just has to be a better way, and there is.

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What this eBook Will Teach You Unless you’re completely new to Google Analytics and don’t have an account yet, please don’t read this cover to cover. I’ll save you from wasting your time. This guide is meant to be used as a handbook, so keep it handy when you have a question and need to find an answer. The guide will be broken down into a series of chapters, from beginning all the way to advanced.

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What You Won’t Get From this eBook This guide won’t cover every question under the sun. This eBook is meant to show you how to not only get up and running, but also how certain features can be used from beginner to advanced. I also won’t be covering every report available within the platform. For the sake of being concise and providing what’s most important as an introductory guide, I’ll only be highlighting reports I’d recommend for getting started.

For advanced information on how Google Analytics functionality can be used to answer specific business and/or website questions, more comprehensive educational materials will soon be available through chrisboulas.com.

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Who is Chris Boulas?

By age 25, I had generated over $5 million in revenue for B2B companies using a variety of online marketing strategies. I’m a self-taught internet marketer from upstate NY. During my undergrad at the Rochester Institute of Technology (RIT) from 2004-2008, very few courses were available that teach the strategies, tactics, and tools available today. They simply didn’t exist until now. I recall an “Intro to Internet Marketing” class that I took in 2007. I could have taught that class if I wanted to. I blew the entire class out of the water during the last week because I didn’t say but 10 words all semester, then brought my dad’s company on-campus and gave a mind-blowing presentation showing everyone what I had been doing years prior. 5

In the years since graduating, I moved to Southern California and began working with technology startup companies, because screw corporate culture. I’m allowed to say that because I’ve worked for those companies. Life’s too short, I’ll leave it at that. Some of you who subscribe to my blog know me outside of the marketing community and in the automotive community. I’m extremely passionate about cars and Formula 1, where the majority of my time is spent outside the greater realm of marketing. I’m eternally grateful that my wife puts up with that side of my life without a complaint.

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Introduction to Google Analytics Let’s start at the beginning. By now, you already understand that Google Analytics is the most widely used web application platform available. This is because the version that (almost) everyone uses isn’t only free, but it offers a tremendous value in regards to functionality relative to paid competitors. Google Analytics differentiates from most competitors in that it’s best used for obtaining visibility into macro trends. That is, understanding how larger groups of users are interacting with your site. Google is slowly moving towards being able to support visibility into micro level information about individual users, but as of 2014 better solutions are available that provide insight here (see MixPanel or KissMetrics to learn more). Should you need insights at both a macro and micro level, I recommend running both Google Analytics in addition to one of the above mentioned solutions. Web analytics as a practice rose from the time when “webmasters” built and maintained websites. Today, we

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refer to them as front-end developers. Since inception in 2005 to present day, Google Analytics has evolved the practice of traditional web analytics that was once tailored towards webmasters, to focusing the suite of tools contained within the platform towards marketers. By building web analytics tools that marketers can use, deeper insights about the behavior occurring on one’s website could be harnessed, analyzed, and acted upon for purposes of furthering the extent of the sites goals, which I hope do at least one of these three things, preferably in this order:

1. Educate 2. Generate leads 3. Acquire customers Surely you don’t need to be a marketer to meet and exceed your website goals using Google Analytics, but that’s who the tool is tailored for. Unfortunately this creates a large gap. As the platform has evolved, it has demanded an increased level of analytical skill to maximize the effectiveness of and most marketer’s haven’t kept pace. Through this guide, Google Analytics can be used by everyone regardless of background.

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How To Use
Google Analytics
For Your Site Before we even get into setup, I’d like for you to answer this question first - what are the goals of your site? I’ve alluded to possible goals in the previous section, but before continuing, note at least 2 items you’d like your site to achieve. This is important because you need to have a plan in place for measuring actual performance relative to all of the goals you’ve noted. This is where you’ll see the highest return from Google Analytics and the time you’ll invest in learning to use it. One piece of advice - don’t list goals that serve as a means to an end. These are goals such as:

“ I want to increase traffic to my site 10% each month.”

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Traffic isn’t a goal. Traffic is what you need to satisfy a bigger goal. If this was your first thought, revise your goal to read more like: “ I’d like to increase the percentage of site traffic that purchases from me 3% each month.” Other examples can include:

“ Due to the complexity of the industry I work in, I’d like users to spend more time on my site learning about my product/service offerings so they understand my core competencies and how I’m differentiated in the market.”

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“ I’d like to understand if people leaving my site is a large scale issue, so I can write better content that meets their intention for visiting my site to begin with. “ I run a lot of marketing initiatives, but I’m unable to measure which ones are most effective. I’d like a better understanding of what performs best so I can iterate on that success with future programs.”

There are tens of other possible goals. Tailor them to your specific use case.

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Setup & Installation Navigate to http://www.google.com/analytics to begin the account creation process. Even though you may have an email address already, Google Analytics must be used using a Google account. Creating one account on Google grants access to all Google-owned properties, not limited to solely Analytics. Upon completing signup for a new Google Account. You’ll arrive at the following screen. The process starts off a bit misleading, but you’ll want to choose “sign up” again to begin registering you new Google account for use with Analytics.

On the next screen, you’ll be presented with two tracking method choices. Sparing the nitty-gritty details, opt for “Universal Analytics” over “Classic Analytics.” Classic

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Analytics uses Google’s traditional core reporting algorithms, which are slowly being phased out in favor of the new reporting algorithm being named “Universal Analytics.” At the time of this writing, some of you may no longer be presented with which tracking method to use. Universal Analytics offers the same reports that Classic Analytics does, with the added benefit of functionality not present in Classic. The following table outlines the core differences between both tracking methods. If you choose Classic, you’ll have an option later to migrate your account over to Universal, but know that in the coming months, Google will be forcing all users to use the newer algorithm present in Universal, which is now officially out of beta.

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Below this table, you’ll need to complete a few additional fields. In most instances, you’ll want to give your Account Name and Property Name the same name. In the Google Analytics hierarchy, Account Name is the topmost level. For basic installations, you’ll want to input the name of your company here. Property Name most often refers to the name of your website. This is most often synonymous with the company name, hence why I recommend using the same value for both fields. If you run a more complex business with 2 top-level domains (TLD’s), it’s recommended to use one account, and 2 properties, one for each domain. If your website uses subdomains, (these look like blog.chrisboulas.com - blog is a subdomain on chrisboulas.com) don’t create a separate property for each subdomain. Keep subdomains under a single property, as Google is smart enough to associate them accordingly.

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Upon completion of this step, you’ll receive a tracking script from Google that follows the format in the example in the image on the following page. From here, there’s one more step to begin collecting data from your site. The script needs to be added to every page on your site. If you’re comfortable doing this on your own, place the script just below the closing tag. If your site is hosted on a CMS such as WordPress, the script can be added one time to the header.php file.

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From this point, most people wait for data to begin appearing in their account as a means of verifying their install was successful, but I’ll show you a better verification method below that most users aren’t aware of. By using Chrome as your web browser, you have the ability to install a number of plugins that enhance the functionality of your browser. One such enhancement is called the “Tag Assistant by Google.” Install this plugin http://bit.ly/googletagassistant, and once complete, a new icon will appear in the top right corner. Navigate to a page on your website, then click the icon. If successful, you’ll see something similar to this.

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Setup & Installation By now, you know the difference between Analytics accounts and properties. There’s a third (and final) level to the hierarchy we haven’t covered called “Views” Within each property, can exist a number of different views. Views give users flexible ways to segment their data, or to view only a subset of data that fits a given set of criterion, ignoring any data that doesn’t meet your requirements. Google will automatically create an unfiltered view for each

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new property created. Using the example above, by choosing the “Admin” tab from the top of the screen, we can see how the hierarchy has been created, with the automatically created unfiltered view appearing as “All Web Site Data.”

To recap the hierarchy: Accounts A collection of web properties managed the company or user Properties Individual web properties for which data will be tracked Views Allows users the ability to segment and filter data that meets a predefined set of conditions 18

Create a New Property 1. 2. 3.

From the Admin menu, click the dropdown at the top of the “Property” column Choose “Create new property” Choose the tracking method you’d like to use, keeping the recommendation stated earlier in mind.

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4. 5.

Configure the remaining property options and choose “Get Tracking ID” Deploy the tracking ID following the previous recommendations

Create a New View 1. 2. 3.

From the Admin menu, click the dropdown at the top of the “View” column Choose “Create new view” Choose a new name for your view and click “Create view.” Give your view a descriptive name that relates to how you intend to segment the data within the view.

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Filters Filters allow you to create the various views you’d like to track. As views are defined by various data perspectives, filters allows us to create these segments and perspectives. To create a filter:

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Choose “Filters” from the View column in the main Admin menu and select the red “+ New filter button

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2. 3.

Choose the red “+New Filter” button

From here, either predefined filter, or custom filter can be selected and the filter can be constructed accordingly.

As a word of caution, never filter data from the unfiltered view automatically created by Google. I always recommend preserving an unfiltered dataset in the event you need to refer back to it at a later time.

Frequently Used Filters There’s one filter I do recommend adding to any view you choose to create. We’ll cover this further in a later section, but in one of the standard reports, the full referring URL information isn’t displayed when viewing referral traffic. We can tell Google to display the full URL by constructing a filter per the image on the following page:

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Of all filter options available, the “Predefined Filter” filter type is used most frequently. Another example filter used often allows users the ability to separate subdomain traffic from what gets reported under their root domain. Hosting your blog on a subdomain such as blog.mycompany.com is one of the biggest use cases. To construct this filter:

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Create a new view from the view column in the Admin menu

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2.

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Name the view something you’ll easily recognize later. In this case, name the view the name of the subdomain you’d like to track.

Create a new filter following the steps above, and configure your filter using the example below

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Standard Reporting Metrics Defined Before walking through the standard reports offered by Google, it’s imperative to have an understanding of the difference between each of the metrics Google displays throughout these reports. Metrics in Google Analytics represent the various points of data that are available to measure. Metrics are always represented in blue throughout the interface.

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Users (Formerly named Unique Visitors) The number of new unique cookies to the page within the specified date window. This is a page level metric.

Sessions (Formerly named Visits) Traffic based on a 30 minute session. Multiple loads of the page within 30 minutes counts as 1 session. A visit within 30 minutes, and a subsequent visit after 30 minutes counts as 2 sessions. This is a page level metric.

Pageviews The total number of aggregate page loads without any filters applied. This is the raw number of times the page was viewed.

Unique Pageviews The number of page views deduped by session. If during a single session, 1 page was viewed 3 times, only 1 pageview is counted. However, if there was 1 view of 1 page, and 2 page views of another page in a single session, 2 page views are counted.

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Dimensions Google Analytics dimensions are used to describe data. They represent the various characteristics about a web property. For example, “Medium” is a dimension that can have underlying values of “organic” “referral” or “email” to reflect various traffic channels. In standard reporting, dimensions can be tiered to two levels maximum. For example, you can configure a report to view the Users metric by the “Medium” dimension, and then by the “Source” dimension. When the data is displayed under this configuration, the user would first see the data by medium, where each medium can be clicked to drill one level deeper to the source level. For example, if I clicked the “Organic” dimension first, I would be taken to the source level where I would see values such as “Google,” “Bing,” “Yahoo,” etc. Throughout Google Analytics, dimensions are always represented in green.

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Pairing Dimensions & Metrics Dimensions and metrics are always used together. As you’ll find when we dive into Standard and Custom reports, all reports contained within or built using Google Analytics present data in the dimensions/metrics format. Furthermore, dimensions can be layered in a hierarchy to two levels in standard reports, and even more in custom reports. This let’s us dive into various levels of segmentation all within the same report.

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Now that we understand the difference between metrics, dimensions, and how they work together, we can begin diving into many of the standard reports offered within Google Analytics. Standard reports are the most basic reports offered by Google, in that the most common data can be retrieved without the need to build a custom report. Google organizes the standard reports into headings based on the types of questions you’re looking for answers to. One very important point to note is that Google always chooses a default metric for each report type. In the case of the reports in this section, most reports will default to displaying the “Sessions” metric. To see these dimensions paired with another metric, choose the drop down displaying the current metric from above the graph within each report. If you don’t see the metric you’d like listed, a custom report is necessary. In the section below, I won’t be reviewing every report. However, I’ll make mention to the most interesting reports and the reports used most often. Now, let’s go through each of these main headings. 29

Audience Includes reports that detail known physical and geographic traits about the users that come to your site The “Users Flow” is a very popular report under this heading. The format of this report is unlike most others you’ll come across. Users Flow shows the sequence of pages most frequently chosen through the site. Green boxes indicate through-traffic, while red funnels indicate that this is where the navigation path ends for a subset of users. This report is best used when selecting source/medium as the starting dimension and reviewing the most frequented paths based on the size of the green boxes. This should give you an idea of how to better optimize on-site conversion funnels by measuring drop off points through the various navigation paths.

Acquisition Includes common reports users should view to answer questions about how traffic is acquired and where users originate from.

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This heading contains perhaps the most commonly used collection of reports. Of these, the “All Traffic” report is one of the most popular. This report shows users where their site traffic comes from (by the Source & Medium dimensions) and how much. When noticeable increases or decreases in traffic volume are witnessed across multiple time periods, researching using this report is often the first starting point. By selecting the “compare to” checkbox in the date range configuration window, you’ll notice that the report repopulates to show how each traffic source/medium has changed across the two time periods.

Within this heading, contain reports from both organic search (in the Search Engine Optimization subheading) as well as paid search (through the paid search AdWords

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platform). If users are also running a paid search campaign account through AdWords, the AdWords account can be linked to Google Analytics to centralize data in one location.

Behavior Includes reports that provide answers to questions you may have about how users behave on your site, how they interact with various pages, and what they do on your site. The behavior heading contains reports that show page-level traffic information. Specifically, the most common report can be accessed by navigating to Behavior → Site Content → All Pages. Referring to our previous example of researching what could cause large changes in traffic between two time periods, I’d recommend viewing this report next to see which pages were responsible for the traffic differences. Note that under these reports, the default metric has changed from sessions to pageviews. Site Search - If your site contains a search field that allows visitors the ability to find content hosted on your domain, site search can be configured under Admin → View Settings → Site Search Configuration. When toggled to the “on”

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position, Google will request a query string parameter. To determine what to enter, conduct a search on your site and view the resulting URL that loads. In the URL, search for a question mark followed by letters and and an equals sign. Here’s an example: http://www.chrisboulas.com/blog?s=marketing%20tips Enter the letters between the ? and = into the field where Google requests the query parameter. After approximately 24 hours, data will begin appearing in the site search report.

Conversions Measures desired conversion events previously configured in the “Goals” section within the Admin settings. Under the Goals subheading, the report viewed most commonly is the “Funnel Visualization” report. Similar to how the “Users Flow” report under the Audience heading shows which path users most commonly take through your site, the funnel visualization report allows you to define and configure your own funnels that you’d like to track. This report can be configured by creating funnel steps at the time the goal is created. Users have the ability to define the

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the starting page at the top of the funnel, middle funnel page touchpoints, ultimately leading to the desired conversion goal.

Navigation Takeaways

The main navigation is structured from the broadest category to the most specific. In marketing terminology, this is often referred to as a funnel. That is, identifying who, what, and were at the top of the funnel, behavioral characteristics in the middle of the funnel, and finally, measuring much desired conversion events at the bottom. This sequence provides a logical progression from understanding what happens at key stages through your funnel from the broadest categories at the top, to the most specific at the bottom. Through custom reports, discussed in a later section, will you be able to view this progression in a single report.

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Advanced Reporting Inside the list of preconfigured standard reports, exist a subset of reports that are considered to be more advanced due to the fact that an extra level of configuration is necessary in order to fully take advantage of the insights they offer. Here, I’ll be providing details on how each of these advanced reports can be configured and used to tell you more about your site’s performance that you wouldn’t otherwise be able to determine from the other reports included as part of the standard reports.

Events This is a more advanced feature within Google Analytics that allows for more granularity in tracking interactive elements on a page. Google natively tracks traffic that occurs on a page, but this default configuration doesn’t account for interactive elements such as individual buttons, videos, or links. To track these elements, event tracking is necessary. The use of events is highly recommended as a

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way to determine how well individual calls to action or design elements work at achieving your desired conversion goals. Setting up events requires users to add extra source code to their pages. Google offers a guide on how to get started with events. I can’t stress the importance of using these enough, unless you’re using a third party tracking tool to handle interactive elements such as CrazyEgg, KissMetrics, or MixPanel.

Experiments Google Analytics Experiments are also referred to as “Content Experiments” and can be accessed by navigating to Behavior → Experiments within the “Reporting” tab. I consider this to be more of a tool than a report, as this is Google’s primary method of allowing site owners to define, structure, and analyze a/b tests on various pages across your site. This functionality was formerly referred to as Google Website Optimizer and existed as a standalone tool before being redeveloped and incorporated into the broader Google Analytics platform in August 2012.

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A/b tests allow users to test the impact of various pages and compare the impact they have at achieving the user’s predefined goals. This practice is also referred to as conversion rate optimization. I’ll admit this tool can be glitchy at times, but it’s the only free option available that I’m aware of. If your budget allows for additional marketing tools, consider Optimizely. Configuring an a/b test is easy by following the steps depicted below.

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In step one, you’ll be required to select a goal metric to measure. Here, you’ll need to select one of the goals you’ve defined as discussed earlier in this ebook, or you can opt to create a new one now. In step two, you’ll be prompted to enter the URL’s of the two pages you’d like to measure. After these variations are chosen, Google will generate a new snippet of source code that will need to be placed on both pages in order to track the performance of your selected pages and determine which one performs the best relative to the goal you selected in step one.

Advanced Segments

Widely considered to be the most powerful feature within the Google Analytics platform, advanced segments allow users the ability to define subsets of traffic and isolate them from other traffic within your view so the traffic’s characteristics can be measured across dimensions and more importantly, against each other.

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Advanced segmentation is so powerful that it could be a topic of it’s own, but here, I’ll be showing you how to get started before taking some time to put together some more comprehensive educational materials and practical examples of how this feature can be fully leveraged. The location of this feature can very easily be overlooked, but it can be identified by a grey arrow in the upper left corner of any standard report.

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Clicking this arrow expands a flyout menu with various options. You’ll notice a number of boxes containing descriptions. These boxes represent the default advanced segments that Google provides. To see how the report looks when an advanced segment is chosen, choose the segment titled “Mobile Sessions” then click “Apply.”

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You’ll notice the segment you chose now appears at the top of the report next to “All Sessions.” In the resulting report, you’ll notice that you can now see mobile traffic being compared to all traffic across the source/medium dimension. The screenshot above represents a one-month time period. Here, we can see 15.77% of organic traffic from Google came from mobile users (or 620 sessions). See how powerful this feature is? This is just one example, but the possibilities are endless. The default segments provided are great, but better yet are the custom segments we build that are more tailored to the sites we manage.

Create a New Advanced Segment To create a new segment, choose “+Create a new segment” under the grey dropdown arrow referenced earlier. There are many different categories to choose from, but I find myself choosing “Conditions” from the advanced submenu most often. As you view the choices available to you, note that many times you’ll be able to create an advanced segment based on either dimensions, metrics, or both.

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That’s right, an advanced segment can be created by mixing dimension and metric specifications using boolean the boolean operators “AND” and “OR.”

Advanced Segmentation Recommendations I’ll be providing practical examples of real-world custom advanced segments, but if you find yourself struggling to determine how to segment your traffic, I advise building advanced segments of traffic that has converted on your site, and by each individual asset users are able to convert on. Extending that thought, it’s equally important to build advanced segments of non-converting traffic. Learning

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your site as opposed to non-converters is a great way of gaining insights into how you can better-optimize your site to increase your conversion rate.

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Custom Reports Thus far, everything shared has been accessed under the “Reporting” tab from the top menu within a view. As you become more familiar with the limitations of the data and reports accessed here, you’ll slowly find yourself spending more time building custom reports, which are accessed from the “Customization” menu at the top of the page within any view.

Getting Started with Custom Reports Building a custom report is fast and easy. All reports are built within the screen that loads after choosing “+New Custom Report.” As you can see in the screenshot below, Google indicates areas where metrics and dimensions for your report can be chosen.

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There are two key areas that users often overlook when building reports on this screen. First, take note of the fact that you can add multiple tabs to your report. This will save you from having to build multiple reports that you may otherwise prefer to keep as separate tabs within a single report. Here’s a tip - filters you choose to add to your report are effective across all tabs. Unfortunately, Google doesn’t offer the ability to set up different filter requirements on different tabs in the same report. Should you need to do this, multiple reports are required. Second, notice that you can select to have your data rendered as a flat table as opposed to the default selection of “Explorer” under the report type. Choosing to view the data as a flat table is most closely associated with a tab delimited .csv file, whereas choosing the “Explorer” option is ideal for scenarios where you don’t need to export the data for additional analysis in a spreadsheet application. The reason I say this is because there will be instances when a report is built using multiple dimensions that are nested under each other. If the report type is on Explorer, only the first dimension will appear when the data is exported to a spreadsheet. For this reason, opt to view the

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data as a flat table when multiple dimensions are required to ensure all dimensions are included in the exported report.

Custom Reporting Options Once a custom report has been built, it’ll remain available in the custom reports menu accessed immediately after choosing the “Customization” tab from the top menu. From this screen, reports can be shared, copied, or deleted by choosing the “Actions” button from the right hand side. Sharing a report generates a link that once clicked, will allow the receiver to choose a view to apply the custom report to. Custom reports are also flexible in that they can be scheduled via email or added to a dashboard for easier viewing under the “Reporting” tab.

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data as a flat table when multiple dimensions are required to ensure all dimensions are included in the exported report.

Custom Reporting Options Once a custom report has been built, it’ll remain available in the custom reports menu accessed immediately after choosing the “Customization” tab from the top menu. From this screen, reports can be shared, copied, or deleted by choosing the “Actions” button from the right hand side. Sharing a report generates a link that once clicked, will allow the receiver to choose a view to apply the custom report to. Custom reports are also flexible in that they can be scheduled via email or added to a dashboard for easier viewing under the “Reporting” tab.

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To schedule a report to distribute via email on a recurring schedule, choose the “Email” button from the top menu inside a report that has been ran. Although hidden, you’ll find it to be a nice feature that saves you time in the future. Similarly to scheduling reports via email, they can also be added to a dashboard by choosing “Add to Dashboard” from within a report. From here, you can choose which dashboard you’d like to add the report to, or you also have

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the option of creating a new one at this time. Last, dashboards are always accessed by choosing “Dashboards” from the top left menu from within the “Reporting” tab, as indicated in the screenshot below.

As you may notice above, Dashboards can be shared with other users, creating a central location for viewing data. Keep in mind, in order for other users to view dashboard data you’ve built, the custom reports it’s comprised of must also be shared with those same users. This means any custom report used to render the data in a dashboard must also be shared via the share link with the same users as outlined earlier.

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Next Steps Did you find value in this guide and have interest in learning other areas of internet marketing? Head over to ChrisBoulas.com for the latest trends and tactics in internet marketing from beginner to advanced. Trying to take your traffic, lead generation, or customer acquisition goals to the next level? Formulytic consults with brands large and small to help them grow revenue through online marketing strategies.

www.formulytic.com

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