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How Do You Choose a Google Analytics Goal Value?

March 21, 2018 by Jeff Sauer 6 Comments

If you’re reading this, you probably have goals set up in your Google Analytics account, right?

And if you don’t, why not? Shame on you! – Ok, I’m not serious. We won’t make you wear a scarlet “G” for not setting up Goals.

Google Analytics goal values

The truth is, setting up Goals can be totally frustrating.

But, goals are a vital part of Google Analytics. Without goal tracking in place, there is no value in your conversion reports. These reports either have no data, or $0 value, which is pretty much useless for analysis.

The biggest pain in the goal set up process is choosing a goal value. It’s easy to enter a value, but how can you be sure it’s the right value? Most of the time, we don’t have immediate access to all the numbers we need to calculate the exact value of email opt-ins, or form submissions.

So what do you do when you don’t know your numbers? Assign no value? Pick an arbitrary number?

Let’s solve this problem together.

In this post and video, I am going to help you figure out how to assign values to your goals in Google Analytics. We’ll also discuss how to choose a goal value even if you don’t have access to all the data you need.

What’s the problem with goals?

Google Analytics goals are so 2006!

It’s easy to get psyched out or frustrated setting up goals in Google Analytics. The goal options are rigid, and in my opinion outdated. They operate based on web design and online marketing paradigms from 2006.

Now don’t get me wrong; we still want to use goals for marketing. But if you’re thinking “these options don’t make sense,” you’re not alone.

Let’s talk about why.

Goal options

Let’s start with the types of goals you can set up in Google Analytics. Goal types include:

  • Destination
  • Session duration
  • Pages/screens per session
  • Event

goal types

Destination goals

The destination goal is triggered by someone hitting a URL on your website. This goal is commonly used to assign conversion values to email opt-ins or form submissions. The trigger URL for this goal is usually a “thank you” page. (I may be one the few marketers left that still uses thank you pages, and that’s only because I am analytics purest).

Session duration and pages per session goals

Very few websites generate any real value from sessions or pageviews. So, I recommend most people avoid these using goals without a specific purpose.

Event goals

The event goal is triggered by an action on a web page. The most common example of an event goal is a video view.

Who knows these numbers?

The other problem with goals is that they require information we don’t always have access to.

As an analyst or marketer, you may not know what your company’s close rate is from online form submissions.  Or, you might not have access to the data that helps you calculate the lifetime value of an email subscriber.

Internal company politics, and lack of communication often play a role in limiting our access to the data we need.

Also, for many businesses, these numbers are rough estimates at best.

Yet, Google Analytics still needs this information for us to enable goal tracking.

Technically easy… Practically difficult

I created a previous tutorial on setting up goals. So, if you need help with the technical aspects of enabling goals, you can reference this video and post – https://www.jeffalytics.com/google-analytics-conversion-tracking/.

In the goal tutorial video, I skipped over the pain point of goal values, because I thought that goal values deserved their own video explanation.

Google Analytics goals are technically very easy to set up, but anticipating the practical implications of your goals can be difficult.

Thanks to a question from Analytics Course student Adnan, I have decided to share my process for choosing goal values.

Analytics Course student question

Adnan asks:

In terms of assigning a value to a goal, if you have an e-commerce site, couldn’t your goal be the purchase of that product. For instance, could one of the goals for Jeffaytics Analytics Course be the purchase of a course valued at $500?

What value do you put in for your Goals

Before we delve into the ways we can assign goals values, let’s review Google’s guidance.

goal value

Google’s basically telling you to take your internal company data and do some math. And there’s nothing wrong with this direction. In fact, I would say their advice is 100% accurate.

But if you don’t know your internal numbers, this won’t help. Sometimes you have to rely on other resources to determine your goal values.

Here are some other numbers we could use as a goal value

Establishing your goal values is easy when those goal values are uniform. But what value should you choose as your starting point?

Here are some possibilities:

    1. Maximum product value
    2. Average order value
    3. Minimum order value
    4. Average Lead value
    5. Target cost per lead
    6. An arbitrary number
    7. No value at all
    8. The perfect value

Which is the right choice?

Before we decide on the right goal value to use, here are a few things we need to consider:

1) Goal values are static, (except for event goals.)

Goal values do not dynamically change based on the data you collect. Let’s say you assign a $5 value to a goal. Then, every website visitor that reaches your goal is recorded as a $5 conversion in your analytics reports.

Event goals can be dynamic, based on the value of your events.

Event goal value

2) Goal values are permanent.

Goal values don’t update or change based on adjustments you make to your website. The value you assign is permanent in your analytics reports. It can’t be undone once the data is collected, (which is one of the reasons we’re spending so much time on this subject.) You need to pick your goal values wisely. Choosing completely inaccurate values can mangle your analytics reports.

3) Your goal value is assigned to every session that reaches the goal destination.

Make sure you choose actions that are of real value for your goals.

4) Google does not recommend goal values for ecommerce sites.

Goals values

When you set up a goal for ecommerce, turn the goal value off. You should still set up the funnel steps for your ecommerce related goals. Goal funnels could and should be a full tutorial on its own. So, we won’t get into funnel steps here. If you’re an Analytics Course member, you can reference our detailed lesson on goal funnels.

Goal funnel tracking

5) Goal values MUST be realistic.

There’s no easy way to say this politely.

If you choose no value or an outrageous value… You are going to DEVALUE your analytics data.

You want your analytics data to be trustworthy. Choose accurate values, so that you can trust your data.

Now that we understand more about how goal values work, let’s answer Adnan’s question.

Specifically, what value do I use for goals for course sales?

Well, my goal value for my course sales is turned off, because I’m using ecommerce reports. The value of the sale is calculated using ecommerce tracking.

Goal values for ecommerce sites can be left blank.

But they need to be set for everything else.

Let’s work through some common goal value scenarios.

Goal values for sales leads

There are many of ways to calculate the expected value of your sales leads. One of the interweb’s favorite ways to calculate your lead value is our PPC Course budget calculator. You can read our full tutorial on this calculator here – https://www.jeffalytics.com/google-adwords-budget/.

You don’t need to have PPC advertising data to use this calculator. The sales data fields in this calculator work independently of the other inputs.

Gaol value calulations

If you have limited access to your sales data, the calculator is a very useful tool. It will help figure out your net lead value based on percentage estimates of your sales activities. And as long as those estimates are fairly accurate, you can calculate your lead value.

Goal values for email subscribers

The scientific way to calculate the goal value of your email opt-ins is pretty similar to the Google’s recommendation.

Revenue from email/subscribers = value of an email subscriber

You can use this formula to calculate the value of your subscribers over the lifetime of your business.

Or, if that becomes cumbersome, you could use data from your last sales based email campaign.

And if you can’t get access to that data, you can choose an arbitrary number. $5 to $10 a subscriber, depending on your list size and product offerings, is a fairly safe estimate.

Remember this value isn’t a real revenue number. It’s the expected value of email sign-ups. So this value can change over the lifetime of your email list.

Goal values for content engagement

What should be the goal value for tracking content engagement?

In general, I would assign a very low value to engagement goals. Why? Because engagement doesn’t usually equal income. video views on your website are not typically a predictor of future revenue.

Engagement Goal value

I would recommend a value of a $1 or less for your engagement goals. Assigning high values to your engagement goal is… As the kids say, kray kray!

But you know what’ really krazy? Assigning no value to your goals.

So, DON’T do that.

Please assign realistic Google Analytics Goal Values

With the exception of engagement goals and ecommerce goals, empty goal values make many of your reports worthless. You can’t use attribution modeling, multi-channel reports, or page value data without assigning goal values.

So, set up goals for the websites you work on. And do your best to assign accurate values.

Let’s quickly recap our general guidance for assigning goal values

  • Ecommerce = No value (value is recorded using ecommerce tracking)
  • Lead Generation = Expected revenue per lead
  • Email subscriber = Realistically small number
  • Engagement = A very low number

Comment and questions

Google analytics goals can be confusing. If you have questions, leave a comment below.

And if you have a strategy for assigning goal values, share it in the comments. We can all improve our analytics by getting better at choosing goal values.


This post and video was episode 60 in our 90 Day Challenge digital marketing series.

To get access to all 90 videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for 90 day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Google Analytics

How to Setup Google Analytics Offline Tracking

February 28, 2018 by Jeff Sauer 3 Comments

Google Analytics is an online-only tracking tool.

True or False?

The answer is…

False.  

Well, mostly false.

Google Analytics can track any visit to your website, even if it comes from offline promotions and advertising. As long as your offline advertising triggers someone to visit a website, Google Analytics can track it!

You can use Google Analytics offline tracking to measure print, radio or television advertising. You can even track phone calls.

Let’s talk about how offline tacking works and how we can set it up.

Analytics Course Student question

One of our Analytics Course students, Belladonna, asked the following question about offline tracking:

I’m really interested in tracking offline, direct mail and phone calls. Is it possible to get more information on those specifically?

Belladonna wants to know how to track her offline direct response advertising.  And she wants to learn about call tracking in Google Analytics.

Let’s look at how to setup offline tracking using a simple 5 step process.

How to setup Google Analytics Offline tracking

Step #1 – Create a vanity URL

Vanity URLs are custom URLs that are commonly used in marketing material.  Vanity URLs are often created for television and radio ads. They are intended to be easy to remember and share.

Here’s a vanity URL I created for this tutorial.  This URL will direct people that want to follow our 90 day challenge videos to a page where they can opt-in to our email list.vanity url for google analytics offline tracking

Step #2 – Create your final destination page

Your final destination page is where you want your visitors to land when they type in your vanity URL. This page is typically designed around the call to action in your offline promotion. Depending on your ad you might want users to submit a form, opt-in to an email list, or buy your product.

In our example, my final destination is the opt-in page for our 90 day challenge email list.

final url for google analytics offline tracking

Step # 3 – Add UTM parameters to your destination URL

UTM parameters are tags you ad to your URL so you can track your URL in Google Analytics.

You can add UTMs to your URLs using Google’s campaign URL builder.

In the example below, I’ve built a campaign URL based on a fictional offline ad. Let’s say I want to advertise in the newspaper, right next to the Garfield comics! I don’t know if Garfield comics are still in print. But, he’s the perfect spokescat for our 90 day challenge videos.

The web address of your destination page goes in the website URL field of URL builder. The rest of the fields help you identify your campaign so you can find it in your analytics reports.

Google's campaign url builder

Once you’ve set up your URL parameters, copy your full URL to your clipboard for the next step.

Google campaign URL builder

Step #4 – Setup a redirect from your vanity URL to your final URL

You can use a 301 redirect to send traffic from your vanity URL to your final landing page. If you’re not a developer, and you use WordPress, there are a number of plugins that are designed to create redirects.

As you can see in my example below I’m directing traffic from the URL Jeffalytics.com/youtubers to my final URL.

Set up a 301 (permanent) redirect

Step #5 – Verify that your tracking works using the Google Analytics Real Time Reports

Using your Real Time reports, you can verify any hits to your vanity URL and make sure your tracking is working. When testing your tracking, make sure to use an unfiltered view of your Real Time reports. Or test your URL from an IP address you haven’t filtered out of your Google Analytics reports.

You can see the vanity URL is tracking!

Let’s recap our Google Analytics offline tracking process:

1 – Create an easy to remember/type vanity URL for your offline promotions.
2 – Setup a final destination page that people will be directed to when they type in your vanity URL.
3 – Add UTM tracking parameters to your final destination URL, so Google Analytics can track your traffic.
4 – Create a redirect that sends people using your vanity URL to your final destination page.
5 – Check your tracking in your Google Analytics Real Time reports.

That’s our five-step process. It’s that easy to setup your Google Analytics offline tracking!!

You can track any offline advertising you create a URL for – flyers, mailers, coupons, radio ads, pretty much anything.

The second part of our Analytics Course student question was about phone call tracking. Let’s take a quick look at how you can setup Google Analytics call tracking.

How to setup Google Analytics phone call tracking

Setting up your call tracking is also pretty easy.

Start by going to the Google Analytics Partners Gallery.

Select “Find a Solution.”   Then, from the “Solutions Categories” menu choose the option for phone call tracking.

Visit the Google Analytics Partners Gallery

This selection will take you to a list of call tracking apps that integrate with Google Analytics. There are approximately 29 different phone tracking apps to choose from.

google analytics call tracking apps

Select the phone tracking app that fits your needs. Then, follow that app’s instructions for connecting your call tracking to Google Analytics.

integrate google analytics call tracking

Will you use Google Analytics offline tracking?

What do you think of these offline tracking strategies? Will you use them to track your offline promos? Do you use call tracking? If you do, please share your favorite call tracking app in the comments.


This post and video was episode 39 in our 90 Day Challenge digital marketing series.

To get access to all 90 videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for 90 day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Analytics Resources, Google Analytics

Everything you need to know about Google Analytics permissions

February 14, 2018 by Jeff Sauer Leave a Comment

Who gave you permission to use Google Analytics? This is a serious question.

Permissions control what you can do in Google Analytics.

Understanding permissions and how access levels affect permissions is essential Google Analytics knowledge, no matter your skill level.

So, today we are going to review every level of Google Analytics permission. We’ll look how account, property, and view level access affect permissions.

And we’ll talk about how to ask for more permission… In Google Analytics of course. (Not in your personal relationships. That’s well beyond the scope of advice you can expect from a web analytics blog).

Google Analytics permissions

We recently received this question from Analytics Course student Anya:

I would like to learn about the limits of each permission level ie. what you can and what you cannot do.

As an analyst can you create custom segments? What permission level do you need to have in order to create a goal?

How do you go about asking your clients to give you access as a consultant – do you ask them for at least read only, then tell them what they need to do and offer to do it for them if they increase permissions?

This is a big question, but it’s also an important one! Let’s break down every permission level, and every access level in Google Analytics. Then, we’ll discuss how to ask clients or other account mangers to increase your permission level in Google Analytics.

There are four levels of Google Analytics permissions

Read and Analyze permission

Read and Analyze is the lowest level of permission in Google Analytics. This level of access allows you to see the data, but it doesn’t allow you to make any changes to the account.

Read and Analyze permission in Google Analytics

Read and Analyze is the beginner or “only on a need to know basis” level of access. Users with this level of access can look at the data all they want. But they can’t affect the account, and they can’t communicate with other users in Google Analytics.

Here’s what users with Read and Analyze permission can do:

  • View reports
  • Use table filters
  • Add secondary dimensions
  • Create custom segments
  • Build custom reports
  • Create and share dashboards
  • View shared reports

As you can see, there’s a lot you can do at this permission level. You can do most of the things you need to do to analyze the available data.

If you want to test the Read and Analyze permission level, then check out the Google Analytics demo account. The demo account gives you Read and Analyze access to the Google Merchandise Store.

Collaborate permission

Collaborate permission is one level above Read an Analyze. Users at this level can communicate in Google Analytics. They can annotate reports. They can also edit shared assets. Shared assets include features like annotations, custom reports, and dashboards.

collaborate permission in Google Analytics

Users at this level of permission usually have some analytics skills. But, they lack the technical capability to configure or manage a Google Analytics account.

This level of permission is great for teamwork. Team members can work in an account together without being dangerous to any of the settings. I call this the “Nerf” level of access. You can use all the tools, without doing much damage.

Here’s what you can do at the Collaborate permission level:

  • Everything you could do at the Read and Analyze permission level
  • Edit and make changes to shared assets

The Collaborate permission level is a small improvement over Read and Analyze. But it’s an important upgrade if you’re part of the team. This level of access let’s you move beyond just looking at the data, and allows to work on the data that’s accessible.

Edit permission

Edit permission is the full access level of Google Analytics. This permission used to be referred to as Admin access. The only thing you can’t do with Edit access is change other users’ permissions.

Edit permission in Google Analytics

Here’s what you can do at the Edit level, in addition to everything at the lower permissions levels.

  • Add, edit, or delete accounts, properties, and views
  • Add, edit or delete filters
  • Create or edit goals
  • Setup ecommerce
  • Create calculated metrics
  • Link your account to Google AdWords
  • Link to Google AdSense
  • Import data
  • Adjust property settings (session settings, user ID, referral exclusions etc.)

Edit permission is best reserved for advanced users. Users at this permission level need to know what they are doing in Google Analytics. Account members with Edit permissions should be Google Analytics certified.

Manage Users in Google Analytics

Manage Users is the highest level of authority in Google Analytics. You can do everything you can do at the Edit level. But you can also add/delete users from an account, and change users permissions.

This level of access should be used sparingly. Users at this level can lock other people out of an account. So make sure you really trust the users who you authorize at this level.

There are three places permissions can be applied. Where you apply permissions has a big impact on how permissions work.

Access levels for Google Analytics permissions

View level access

The most basic level of Google Analytics access is granted at the view level.

View level access in Google Analytics

Let’s say you want to give someone access to your Google Analytics reports. But you don’t want that person to be able to change anything. The best level of access for that user would be Read and Analyze permission at a view level.

Property level access

Granting permission at a property level restricts users to only that property. Typically, a property is associated with one domain or website. So when you issue access at the property level, those users can only track the domain in that property.

Account level access in Google Analytics

Account level access

User access at the account level means you can see everything. You have access to every property and view in that Google Analytics account.

Property level access in Google Analytics

You want to be careful how you choose to authorize account level access.

I almost never grant anyone account level access with a Mange Users permission. That level of access is like giving someone the deed to your Google Analytics account. It’s much safer and easier to authorize access at a property level.

You can see who has permissions

You can see who has Google Analytics permissions

Google allows full transparency of users’ permissions. This is a recent policy change that I’ve been pretty outspoken about.

Google Analytics experts are often contracted to audit the work of other account managers. It’s important for auditors to be able to do their work without disrupting the current analytics team. But now, everyone can see when a new user enters the account. Account users can also see the access level of other users.

This new policy prevents account auditors from working on accounts in anonymity. Essentially, this policy puts an end to James Bond 007 analytics undercover work!

You can read more about my thoughts on the policy change an how it affects analytics consulting here – Why the new Google Analytics User Management Policy is a Terrible Idea

google analytics permissions

What level of access do you need?

Maybe a better question is what level of access do you deserve?

Gaining permissions is like earning trust. You need to prove to the account owner that you are trustworthy and that you’re not going to mess up their account.

How do you prove you deserve a high level of access?

Remember, Anya asked about working as an analyst and setting up goals for an account she’s working on. Without gaining Edit level access, she can’t create goals for her client’s account.

She needs at least Edit permission at a property level to get her job done. This scenario is not uncommon.

If you’re trying to make a living as an analyst, or as a digital marketer, you want the most access you can obtain. More access equals more information.

Beyond being trustworthy, there a few things that factor into gaining higher level permissions in Google Analytics.

Google Analytics certification

First of all, the account admin needs to know you have the right skill set. The easiest way to prove you have the skills to work on Google Analytics accounts is to get certified.

Helping people get Google certified is the reason I created Analytics Course. A Google certification for an analyst is like a badge for a police officer. If you want to get access, you need to show your credentials!

Use Analytics Course to help you get Google certified and gain Edit level access

So, if you need Edit level access, take Analytics Course.  Analytics Course is built to take you from zero to Google Analytics certified.

Analytics Course will also hold your hand while you’re working in Google Analytics. Following the course will save you from messing up anyone’s account.

And if you get stuck? You can ask questions in our private Facebook group and course forums. You’ll get your Google Analytics questions answered by me, or one of our savvy students. Then you can take our advice pass it off as your own work.

So let’s assume you’re one of my students, or another smart Google certified analyst. Let’s talk about how you get the access you deserve.

Here’s my process for getting the Google Analytics permissions I need to do my job as an analyst:

1- Explain exactly what you are going to do, why, and how you will do it.

how to gain google analytics permissions

Be transparent about the work you plan to do. Would you give someone access to your Google Analytics account without knowing why they need access? Probably not. So be straightforward with the account owner or administrator. Tell them what you’re going to work on. Why you’re doing that work, and how you’re going to do your job.

2 – Explain the risk of the change, and how you are mitigating the risk.

how to gain google analytics permissions

Account managers don’t want risk. Show them you understand the risks at the access level you need, and let them know how you can mitigate any risk.

3 – Show your experience and examples of your work to inspire confidence in your capabilities.

how to gain google analytics permissions

Show the account owner or admin you know what you’re doing! Show off your shiny Google Analytics certification. And if you can, speak to examples of similar work you’ve done for other accounts.

Present client or peer testimonials to help show off your work. Let the account manager know that they’re not handing over account access to a complete novice.

4- Develop a timeline for the work you’re going to complete

how to gain google analytics permissions

Present a timeline for your work. Tell the account owner when you’ll accomplish the objectives you’re going to work on. And let the powers that be know when they can expect to see the outcome of your work.

It’s likely that the analytics problems the account owner faces are holding up other work. If they know when you can help them get their business to the next step, they are probably going to give you access.

If you can map out these steps, then, in my opinion, you deserve access.

So let’s wrap this up back where we started.

What level of permission do you have, and do you have the right Google Analytics permissions to do your work?

If you’ve followed the steps we’ve mapped out, and you can’t get the access you need, leave a comment. We’ll take a look at the challenges you’re facing, and try to help you get permission.

Also, if you need to level up your Google Analytics skills so you can get permission, check out our Free Analytics Mini-Course!


This post and video was episode 25 in our 90 Day Challenge digital marketing series.

To get access to all 90 days of videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for 90 day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Analytics Resources, Google Analytics

How to Create a Custom Channel Grouping in Google Analytics

February 7, 2018 by Jeff Sauer 3 Comments

One of the biggest questions marketers have when looking at analytics data is “how do people find my website?”

Google Analytics tells us this information quite easily inside of their acquisition reports. In fact, if you look in your Google Analytics account right now, you can see how your visitors navigate to your website. Google has neatly organized your web traffic using something called channel grouping.

Channels represent the paths visitors take to arrive on your website. Some visitors type in your URL, some search your brand name, others search by topic and find your content.

By default, Google groups everything into channels, and shows you how your traffic comes in for each channel. But there are some problems with the default channel groupings in Google Analytics. The default channels are extremely broad. They over-simplify the traffic coming to your website.

These broad categories don’t allow you to learn much about your website traffic. But don’t worry. We are going to fix this problem….

Let’s create custom channel groupings in Google Analytics!!

That’s right. Today we are going to learn one of the most effective techniques for analyzing your website traffic!

In this post and video, we’ll take a deep-dive into channel groupings. We’ll learn how we can create custom channels to improve our web analytics, and talk about the best strategies for building custom channel groupings. I’ll also show you exactly how I set up my channel grouping, and how you can easily improve upon the defaults.

Channel groupings in Google Analytics

Channel Grouping In Google Analytics

Before we get into creating some kick-butt custom channel groupings…

Let’s talk about the default channels.

It’s important to understand what makes up the default channels, and how these channels represent our web traffic. Once you know how default channels work, you can start making more awesome custom channels!

Default channel grouping in Google Analytics

The default channels in Google Analytics include:

  • Organic Search
  • Paid Search
  • Direct
  • Social
  • Email 
  • Referral
  • Display

These defaults are derived from the source and medium attached to your traffic sources.

Here’s an example of what these default channel groupings look like for jeffalytics.com.

channel grouping in google analytics

Organic Search

Organic search is traffic that found your website using a search engine. This group includes every search that was used to find your website.

These searches could be related to your brand, your content, or your products. For many websites, organic search dominates traffic numbers.

You can see from my example below, that organic search accounts for over 70% of the traffic going to Jeffalytics. This very broad category tends to limit our ability to learn more about our search traffic. We’ll look at how to fix this problem later in this post.

default channel grouping in google analytics

Direct

Direct traffic accounts for site visitors that arrived directly to your website without a referrer string. These visitors typed your URL into their browser and went right to your site.

I often refer to this channel as “The Darkness.” It’s hard to learn anything about where these visitors came from our why they used our URL. Since I can’t learn anything from this channel, it’s like the black hole of my channel grouping.

Social

The social channel is any traffic that came to your website from a social media source, as defined by Google.

Email

This channel is set up to account for the traffic that clicks through to your site from links in your email. Keep in mind that you have to use UTM parameters in your email links for Google to track this traffic. If you’re not using UTM parameters, Google won’t be able to sort you email traffic into this channel.

Referral

Referral traffic is traffic that was sent to your site from a link on another site. Clicking on your referral channel in your analytics account will allow you to see the referrals that are sending you traffic. Below is an example of where my referral traffic is coming from.

referral channel grouping

What’s wrong with the default channel grouping in Google Analytics?

Fair warning, I am about to go on a bit of rant here. [If you want to hear my full rant, watch the video above].

The default channel grouping in Google Analytics is very well thought out. The channels account for just about every traffic source on the web.

But, not all websites are the same. The defaults are one-size-fits-all. They are generic, and at times uninspired. The default settings don’t take into account the language you use to describe your website marketing efforts.

The  generic channel categories limit what we can learn about our website visitors. They also don’t allow us to see how our marketing efforts are really working!

default channel grouping in google analytics

Let’s look at this problem as it relates to the organic search channel.

Organic search channel problems

We’ll use my data as the example again.  As you can see, I can’t infer much from my channel report. 70% of my traffic is categorized as organic search.  Organic search is such a big category that I can’t do any meaningful analysis of my traffic.

The visitors in this category could have searched my name. Or they could have searched for content about Google Analytics and found my site. Or maybe they searched a PPC topic and landed on one of my blog posts.

Without breaking this channel down further, I have no direction as to why most people land on Jeffalytics from search engines.

organic search channel google analytics

If I just trust the Google Analytics default settings to give me information, I wont know anything about my web traffic. I won’t learn what my visitors are looking for, or how I can make my content better.

Don’t trust default settings to give you insights!

Google Analytics may be the most powerful marketing tool on the planet – But if you don’t customize it to your needs, you are using about 1/10th of its capability.

Default channel grouping in google analytics

So, let’s learn how to customize our channel grouping so we can see what’s really going on with our website.

Analytics Course student question

This post was inspired by a question from one of our Analytics Course students, Fred.

Fred asks:

Analytics Course question

Let’s answer Fred’s questions and take a look at my custom channel grouping in Google Analytics! Showing you how I setup my channel grouping will help you learn how to customize your own channels.

Custom channel grouping in Google Analytics

By clicking the primary dimension dropdown, I can navigate to my Jeffalytics Content Grouping channels.

Custom channel grouping in google analytics

Once my Content Grouping is selected, you can see how much more depth I have in my channels.

Where organic search was 70% of my traffic, I know have that traffic broken down into five channels.

Looking at the screenshot below, you can see all five of the channels that make up my organic search traffic. These channels represent five different types of searches people use to land on Jeffalytics.

  • Non-Brand Organic Search – Other Content
  • Non-Brand Organic Search Google Analytics Content
  • Non Brand Organic Search WordPress Content
  • Branded Organic Search
  • Non-Brand Organic Search – Paid Search Content

custom channel grouping in google analytics

My custom channels allow me to do analysis I couldn’t do using the default channel grouping. I can see that people searching for Google Analytics content make up 18% of my total traffic. People looking for information about WordPress make up another 5.5% of my traffic.

Going beyond the default settings pays immediate dividends for my content analysis.

My direct traffic – now labeled “The Darkness,” is still the same. But this name reminds I can’t learn anything from this channel.

Channel landing page report

One channel that needs a stronger definition is my Organic search traffic related to “paid search” topics. If I dig into this non-branded organic search channel, I can see what’s missing. Many of my blog posts and landing pages about Adwords are not getting sorted into my paid search channel.

channel grouping

Watching me adjust this channel in the video will show you how you can create and organize your own channels.

I can navigate to my channel settings by clicking the gear icon. The gear icon will take me to the admin section of Google Analytics.

Google analytics admin

Once I am in the admin section, I click Channel Settings, and then Channel Grouping.

creating custom channel grouping in Google Analytics

This will take me to my current channel groupings. This is also where you can set up a new channel grouping for your account.

new channel grouping google analytics

Selecting the Jeffalytics Content Grouping will allow me to edit my current channels.

Before I adjust my current channels, let’s look at how I organized some of my channels.

Branded organic search channel

People often ask how I break out branded organic search. This channel represents site visitors that searched for my name or brand. Organizing this channel is pretty simple. I set my channel Landing Page URL to “exactly match” jeffalytics.com/.

custom channel grouping in google analytics

This strategy isn’t fool proof, but the logic is sound. If someone searches Jeffalytics or Jeff Sauer, they are likely to hit my home page in the search results. So I assume organic search traffic coming in on Jeffalytics.com is from branded searches.

Searchers that are looking for PPC or analytics will land on one of my posts related to that topic.

Adjusting channel grouping settings

My Paid Search channel tracks traffic coming to my website from searches about paid search advertising. I have a flaw in this channel setting that I need to fix.

This channel is not set-up to include traffic from searches related to Google AdWords. I have also neglected to account for traffic that lands on my posts about PPC.  I can fix this problem by adding these topics to this channel.

To make this adjustment I’ll add in some “OR” clauses. I can tell Google this channel should include traffic that lands on my PPC or AdWords posts. You can see an example of how I do this below.

custom channel grouping in google analytics

Saving my channel grouping edits

After I am done adjusting my channel, I click to save my edits. Google says it can take up to 24 hours for my data to adjust to my new settings.

channel grouping edits google analytics

But when I click back to my dashboard I can see that my channels have already accounted for my changes.

custom channels in Google Analytics

Channel grouping strategy

Google recognizes channel groupings like a waterfall. Each group is a bucket. If a visitor doesn’t get captured in the first bucket, then they flow into the next bucket, and so on and so on. When a visitor doesn’t fit any of my main channels, they wind up in my “Other” channel. If my other channel makes up a very small portion of my traffic, then I know my groupings are working effectively.

custom channel grouping in Google Analytics

Here are five tips for improving your channel grouping in Google Analytics

1 – Aim from more, smaller segments

Channel grouping strategy

Use your channel grouping to break out your traffic as much as you can. Ideally, you want to get your channels down to groups that account for 10 to 15% of your traffic. The key is to organize your channels so you can do meaningful analysis. If 70% of your traffic is one channel, it will be hard to do learn anything from your channel report.

2- Call out your direct traffic

Channel grouping strategy

You don’t have to name your direct traffic “The Darkness.”

But it is worthwhile to call it out. Give this traffic a funny, or negative name, and remember not to worry about this traffic source.

3 – Classify as you feel comfortable

channel grouping strategy

You don’t have to re-organize all your channels overnight. You can create one new grouping. See if that change works. Then build more channels in that grouping as it suits your needs.

4 – Leave the default channels in tact

channel grouping strategy

The default settings do have value, so leave them intact. When you build a new channel grouping, create a copy of the default channels. Then edit the copy, so you don’t affect the default channel settings.

copy default channel settings

5 – Use the Source/Medium report more often

source medium report

Maybe setting up new a channel grouping in Google Analytics feels to complex? If that’s the case, you can use the Source/Medium report to do a lot of the same analysis.

The Source/Medium report can tell you both the “who” and the “how” for your website traffic. The “Source” represents who sent the traffic to your site. And the “Medium” represents how the traffic got to your site.

Setting up new channel grouping in Google Analytics can feel complicated. But it’s not very difficult once you understand how channels work.

Setting up custom channels is a great tool for analyzing your web traffic. Custom channels allow you to gain insight about your web traffic you can’t obtain using the default channels.

One of the “quickest wins” you can make with your Google Analytics account is to customize your channel names. It’s easy, it’s immediate, and it’s fun!

Leave a comment

What do you think about custom channels? Is this a technique you’ll use? Do you have custom channels already set-up? Leave a comment below with your thoughts on custom channel grouping in Google Analytics.


This post and video was episode 18 in our 90 Day Challenge digital marketing series.

To get access to all 90 days of videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for 90 day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Google Analytics

How do Google Analytics sessions affect your website’s data?

January 31, 2018 by Jeff Sauer Leave a Comment

Google Analytics Sessions: No, this is not a collection of Google Analytics’s greatest guitar-shredding jams!

Sessions are how Google Analytics tracks each time your website visitors come to your site. Understanding sessions can be a bit confusing and figuring out how Google calculates sessions can get even more confusing.

Don’t despair. We have created this blog post and the video to clear up any session confusion.

We will explain how Google Analytics sessions are calculated. Then we’ll break down how sessions are tracked, and how they impact your analytics.

We’ll also show you an advanced strategy you can use to make sure your sessions are tracking correctly.

To round out this session jam, we’ll answer a question form our Analytics Course forum. Noel sent us an excellent question about sessions, hits, and pageviews. Answering Noel’s question will help you see how these measurements work together in Google Analytics.

 

How are Google Analytics sessions calculated?

When a webpage loads in a user’s browser window, that triggers the start of a session. Once the web page finishes loading, the analytics tracking code sends data to Google.

Think of it like your website sending out a bat-signal over Gotham city. In this case, your website is commissioner Gordon, Google Analytics is Batman, and your tracking code is Gotham city.

Ok, that analogy might have made you more confused. Fine, we’ll go back to the boring explanation.

The tracking code data you send to Google is recorded by Google Analytics for your account ID, and this marks the beginning of a session.

A session is the starting point for Google’s measurement of a web user’s experience.

A session can involve many pageviews and events that take place while a visitor is on your site. For example, multiple pageviews, a video view, and a purchase. Think of a session as the wrapper for everything that happens during one continuous website visit.

Google Analytics sessions

Image via: http://cutroni.com/blog/2014/02/05/understanding-digital-analytics-data/ 

Google Analytics sessions end after 30-minutes of inactivity

A session ends when a user leaves a website or goes inactive for 30-minutes. Inactivity, or “timing-out,” refers to a period of time when a user does not record a hit in Google Analytics.

When a user performs a new activity on a site following 30-minutes of inactivity, a new session begins.

What is a hit in Google Analytics?

A hit is any activity on a webpage that triggers a record in Google Analytics. The most common type of hit is a pageview. Hit activity can also include events, ecommerce transactions, and social interactions.

Google Analytics hit

Any time a hit occurs, it extends a session. A new 30-minute window starts following each hit.

Changing the default Google Analytics sessions settings

You can change the way that Google handles the time limit for your sessions. You can lower your sessions timeout interval all the way down to one minute, and you can increase it to four hours.

Default Google Analytics sessions settings

Changing your default session settings is not necessary in most cases.

There are some use cases for increasing sessions limits. Sites like Netflix, where users spend hours watching videos, may want to increase their session timeout limit. Using longer session intervals could help these sites improve the accuracy of their analytics data.

If you do change your sessions settings, keep in mind that the change will only affect future data. This type of change can make historical comparisons of your sessions very difficult.

It’s not something to be taken lightly.

Hit activity and Google Analytics sessions

Analytics Course customer Noel has the following questions about sessions, hits, and pageviews:

Google Analytics sessions

Noel wants to know how his sessions are tracked if he creates an epic blog post that takes over 30-minutes to read.

If Noel’s visitor spends 35-minutes on his page and then leaves, Google records one session.

Bounced visits

If Noel’s website visitor leaves after only one pageview they will also be recorded as a bounced visit. A bounced visit is any session that only includes one user interaction with a website.  In most cases this is a single pageveiw.

Does scrolling extend sessions in Google Analytics?

Noel specifically wants to know how scrolling down his blog post affects sessions.

To answer Noel’s question, by default, page scrolling is not recorded as a hit.  The default Google settings do not track page scrolling.  So, page scrolling will not extend sessions.

How event tracking affects sessions

There is a way for Noel to track scrolling on his page as an event. Using Google Tag Manager, or custom code, Noel can tell Google Analytics to record scroll depth on his page.

If Noel enables scroll depth as an event on his page, Google Analytics will record page scrolling as hit activity. That hit will then extend his visitor’s session.

What is a pageview?

Noel is a smart and inquisitive Analytics Course student (shameless plug). So, he also wants to know how pageviews are triggered in Google Analytics. And what a “view” means in Google Analytics.

A pageview occurs anytime a user’s browser executes Javascript (JS) for a webpage.

JS is the programing language that runs on the browser side (client side) of the web experience.

When JS is triggered for a webpage, Google Analytics records a page view.

Bots do not typically execute JS, which prevents them from recording page views.

Using Real-Time reports to see pageviews in Google Analytics

You can use your Google Analytics Real-Time reports to help you see what Google is tracking on your site.

Google Analytics real time report

You can find your Real-Time reports in the main area of your Google Analytics interface. Real-Time reports will show you users who are recording live pageviews on your site.

You can also see which actions are extending your visitors’ sessions.

Looking at hits and pageviews in your analytics code

A more advanced way to see a record of your Google Analytics tracking is by looking at the code that fires on your site.  You can view your tracking code on your site using the Chrome extension Google Analytics Debugger.

Google Analytics Debugger

After you’ve installed Analytics Debugger, open your web page. Then right-click and choose to inspect the page.

In your developer tools window select console and activate the Analytics Debugger extension.

Looking at pageview hits

The loading of your webpage should have triggered a hit for a pageview in Google Analytics.

Your pageview hit will look like this in your developer console:

Google Analytics pageview hit

Your console will also display any other hits that analytics records while you’re on your page.

To summarize everything:

Sessions are a group of interactions one visitor has with a website. They include pageviews and other events.  One session will last for up to 30-minutes, without any additional activity.

A hit is any activity or event that Google analytics records as user interaction on a web page.

An event is a type of hit that you instruct Google Analytics to record. You can set-up event tracking using Google Tag Manager, or custom code.

A pageview occurs when a user’s browser executes a webpage’s Javascript.

A bounced visit occurs when a user only has one interaction with a website in a 30-minute period.

Sessions are a very straightforward aspect of analytics. But they can be difficult to understand. People often assume Google Analytics records more than it does.

Google Analytics has vast capabilities. But, if you don’t set your analytics up to record user interaction, you only get the base levels of measurement.

Do you have questions about Google Analytics?

Post your question below.

We’ll answer as many of your questions as we can during our weekly videos and blog posts.


This post and video was episode 11 in our 90 Day Challenge digital marketing series.

To get access to all 90 videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for 90 day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Analytics Resources, Google Analytics

How to get started as a Web Analytics Consultant

January 24, 2018 by Jeff Sauer Leave a Comment

So you want to be a web analytics consultant? Who wouldn’t? Web analytics consultants are the party animals of data analysis!

Plus, web analytics skills are in high demand. Consulting can be a great way to turn your skills into income.

But you have to have the right plan in place to make your consulting business work.

One of our Analytics Course students recently sent us a question about how to start marketing her analytics skills.

Becoming is a question I get a lot. So, In the post and video below, I’ll provide a detailed answer.

I will use my 12 years of experience as a web analytics consultant to share how to make a living in this business.

Chere, from our Analytics Course, wants to know how to get started as a web analytics consultant.

How do I become a web analytics consultant

Here are five things you need to do to get started as a web analytics consultant

1) Set your targets

How can you hit your target income?

As a web analyst, targets should be a familiar topic. Your income target is the yearly amount of income your business needs to generate for you to make a living.

To figure out how you are going to hit your target income you have to calculate the hourly value of your work.

We can use an income model from our Agency Jumpstart Course to help you find your hourly rate.

Target hourly income calculation

In this model, we estimate that you can work 2,000 hours in a year. 2,000 hours equates to 50 standard 40-hour work weeks.

Most consultants are billable about 75% of the time they are working.

With those numbers in place, here’s how to calculate your hourly target rate:

  • Add your business overhead to yearly income target.
  • Then multiply the number of hours you can work (2,000) by 75% to calculate your billable hours.
  • Divide the sum of your income target plus your overhead by your billable hours
  • The result is your target hourly rate

2) Choose a business model

You need to choose a business model. Your business model will determine how you get paid.

One of the most common consulting business models is the monthly retainer.

A monthly retainer has many advantages over project or hourly based revenue models.

To see how the monthly retainer model works, we can use another tool from Agency Jumpstart Course (AJC).

The AJC spreadsheet helps you calculate:

  • How many clients you need to land to hit your target income.
  • How much overhead you can have in your business.
  • And how much cash you’ll be able to generate each year.

You can download this spreadsheet here. [ddownload id=”14969″]

3) Develop relationships

Being a consultant is a relationship business. The more connections you have, the better your chances of sealing deals and reaching your income targets.

To develop business relationships, you need to put yourself out there. You have to let your network know about your business.

Here are some things you can do to help create more business relationships:

Start a blog.

Publishing blog posts can be a great way to become a thought leader in your niche.

You can also blog about how web analytics can help solve everyday problems. Remember, most people don’t even know what a web analytics consultant does. Relating your service to everyday problems will help your audience understand your value.

Create an email newsletter.

Even if you only have a small email list, a newsletter is a great way to stay in touch with your audience. You can use your email list to share your blog posts. Or you can use your email list to ask your audience questions. Learning about your email subscribers will help you build a stronger relationship with your audience.

There are many ways to let people know what you’re doing. As a consultant, you’re in charge of your business development.

Make sure to put yourself out there and let people know how you can help them.

4) Choose a niche

Once the business starts coming in, you’ll notice a wide range of need for your services.

Some clients will need you to install javascript on their websites. Others clients might want you to audit a Google Tag Manager installation.

You’re going to receive all types requests, which have you doing many different kinds of work. Working in so many different areas will prove to be very inefficient.

As an independent consultant inefficiency can stop you from achieving your revenue goals.

To make yourself more efficient, I recommend you choose two types of niches.

Client Niche

The first type of niche is client based niche. Think about the profile of your ideal client. What industry are they in? What properties do they have in common? And, what kind of business model do they use?

Then think about if you can scale working with that type of client. Are there lots of these kinds clients or just a few?

Knowing what type of client you want to work with factors into our second niche.

Service Niche

The second niche is service related. What is the ideal service you’d like to offer? You service niche needs to meet your entrepreneurial goals. But, it also needs to satisfy your business model.

Think about your service niche related to the types of clients you want to work with. Are you going to work with big companies or small companies?

Maybe you want to be a full stack web analyst, doing all the analytics work for a handful of clients.

Or maybe you want to focus on doing Google Analytics audits.

If you’re going to work on small-scale projects, you’ll need many clients. But, if you’re going to work with large companies on long-term projects, you may only need a handful of clients.

Make sure your service niche aligns with your income goals and your client niche.

5) Deliver the goods

Once you’ve identified how you’re going to make your business work, you need to able to deliver.

This comes down to making good on the services you say you can offer.

We all have to start somewhere and take on new projects. But, be clear about the services you plan to offer, and how and when you’ll fulfill your commitments.

I’ve been in web analytics consulting for a long time. And I’ve heard countless stories about consultants who didn’t deliver on their contracts.

The best way to be a successful web analytics consultant is to have lots of happy customers. Customers who recommend you to their friends and business associates.

Want to learn more about growing a freelance or consulting business?

Sign up for our Agency Jumpstart email list. Every Friday you’ll receive an email about growing a digital marketing business.

See what we did there? Email newsletter, relationship building. 😉

For more information, visit Agency Course


This post and video was episode 5 in our 90 Day Challenge digital marketing series.

To get access to all 90 days of videos, subscribe to our YouTube channel. YouTube will send our subscribers weekly emails about all the videos we published over the past week.

Want to know about each video and post as soon as it comes out? Sign up for the 90-day challenge email newsletter. The newsletter will be the best way to make sure you don’t miss any of the content.

Filed Under: Analytics Resources, Google Analytics

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