Friday, November 13, 2020

How Do Sessions Work in Google Analytics? — Best of Whiteboard Friday

Posted by Tom.Capper

Google Analytics data is used to support tons of important work, ranging from our everyday marketing reporting, all the way to investment decisions. To that end, it's integral that we're aware of just how that data works. In this Best of Whiteboard Friday edition, Tom Capper explains how the sessions metric in Google Analytics works, several ways that it can have unexpected results, and as a bonus, how sessions affect the time on page metric (and why you should rethink using time on page for reporting).

Editor’s note: Tom Capper is now an independent SEO consultant. This video is from 2018, but the same principles hold up today. There is only one minor caveat: the words "user" and "browser" are used interchangeably early in the video, which still hold mostly true. Google is trying to further push multi-device users as a concept with Google Analytics 4, but still relies on users being logged in, as well as extra tracking setup. For most sites most of the time, neither of these conditions hold.

How do sessions work in Google Analytics?

Click on the whiteboard image above to open a high-resolution version in a new tab!

Video Transcription

Hello, Moz fans, and welcome to another edition of Whiteboard Friday. I am Tom Capper. I am a consultant at Distilled, and today I'm going to be talking to you about how sessions work in Google Analytics. Obviously, all of us use Google Analytics. Pretty much all of us use Google Analytics in our day-to-day work.

Data from the platform is used these days in everything from investment decisions to press reporting to the actual marketing that we use it for. So it's important to understand the basic building blocks of these platforms. Up here I've got the absolute basics. So in the blue squares I've got hits being sent to Google Analytics.

So when you first put Google Analytics on your site, you get that bit of tracking code, you put it on every page, and what that means is when someone loads the page, it sends a page view. So those are the ones I've marked P. So we've got page view and page view and so on as you're going around the site. I've also got events with an E and transactions with a T. Those are two other hit types that you might have added.

The job of Google Analytics is to take all this hit data that you're sending it and try and bring it together into something that actually makes sense as sessions. So they're grouped into sessions that I've put in black, and then if you have multiple sessions from the same browser, then that would be a user that I've marked in pink. The issue here is it's kind of arbitrary how you divide these up.

These eight hits could be one long session. They could be eight tiny ones or anything in between. So I want to talk today about the different ways that Google Analytics will actually split up those hit types into sessions. So over here I've got some examples I'm going to go through. But first I'm going to go through a real-world example of a brick-and-mortar store, because I think that's what they're trying to emulate, and it kind of makes more sense with that context.

Brick-and-mortar example

So in this example, say a supermarket, we enter by a passing trade. That's going to be our source. Then we've got an entrance is in the lobby of the supermarket when we walk in. We got passed from there to the beer aisle to the cashier, or at least I do. So that's one big, long session with the source passing trade. That makes sense.

In the case of a brick-and-mortar store, it's not to difficult to divide that up and try and decide how many sessions are going on here. There's not really any ambiguity. In the case of websites, when you have people leaving their keyboard for a while or leaving the computer on while they go on holiday or just having the same computer over a period of time, it becomes harder to divide things up, because you don't know when people are actually coming and going.

So what they've tried to do is in the very basic case something quite similar: arrive by Google, category page, product page, checkout. Great. We've got one long session, and the source is Google. Okay, so what are the different ways that that might go wrong or that that might get divided up?

Several things that can change the meaning of a session

1. Time zone

The first and possibly most annoying one, although it doesn't tend to be a huge issue for some sites, is whatever time zone you've set in your Google Analytics settings, the midnight in that time zone can break up a session. So say we've got midnight here. This is 12:00 at night, and we happen to be browsing. We're doing some shopping quite late.

Because Google Analytics won't allow a session to have two dates, this is going to be one session with the source Google, and this is going to be one session and the source will be this page. So this is a self-referral unless you've chosen to exclude that in your settings. So not necessarily hugely helpful.

2. Half-hour cutoff for "coffee breaks"

Another thing that can happen is you might go and make a cup of coffee. So ideally if you went and had a cup of coffee while in you're in Tesco or a supermarket that's popular in whatever country you're from, you might want to consider that one long session. Google has made the executive decision that we're actually going to have a cutoff of half an hour by default.

If you leave for half an hour, then again you've got two sessions. One, the category page is the landing page and the source of Google, and one in this case where the blog is the landing page, and this would be another self-referral, because when you come back after your coffee break, you're going to click through from here to here. This time period, the 30 minutes, that is actually adjustable in your settings, but most people do just leave it as it is, and there isn't really an obvious number that would make this always correct either. It's kind of, like I said earlier, an arbitrary distinction.

3. Leaving the site and coming back

The next issue I want to talk about is if you leave the site and come back. So obviously it makes sense that if you enter the site from Google, browse for a bit, and then enter again from Bing, you might want to count that as two different sessions with two different sources. However, where this gets a little murky is with things like external payment providers.

If you had to click through from the category page to PayPal to the checkout, then unless PayPal is excluded from your referral list, then this would be one session, entrance from Google, one session, entrance from checkout. The last issue I want to talk about is not necessarily a way that sessions are divided, but a quirk of how they are.

4. Return direct sessions

If you were to enter by Google to the category page, go on holiday and then use a bookmark or something or just type in the URL to come back, then obviously this is going to be two different sessions. You would hope that it would be one session from Google and one session from direct. That would make sense, right?

But instead, what actually happens is that, because Google and most Google Analytics and most of its reports uses last non-direct click, we pass through that source all the way over here, so you've got two sessions from Google. Again, you can change this timeout period. So that's some ways that sessions work that you might not expect.

As a bonus, I want to give you some extra information about how this affects a certain metric, mainly because I want to persuade you to stop using it, and that metric is time on page.

Bonus: Three scenarios where this affects time on page

So I've got three different scenarios here that I want to talk you through, and we'll see how the time on page metric works out.

I want you to bear in mind that, basically, because Google Analytics really has very little data to work with typically, they only know that you've landed on a page, and that sent a page view and then potentially nothing else. If you were to have a single page visit to a site, or a bounce in other words, then they don't know whether you were on that page for 10 seconds or the rest of your life.

They've got no further data to work with. So what they do is they say, "Okay, we're not going to include that in our average time on page metrics." So we've got the formula of time divided by views minus exits. However, this fudge has some really unfortunate consequences. So let's talk through these scenarios.

Example 1: Intuitive time on page = actual time on page

In the first scenario, I arrive on the page. It sends a page view. Great. Ten seconds later I trigger some kind of event that the site has added. Twenty seconds later I click through to the next page on the site. In this case, everything is working as intended in a sense, because there's a next page on the site, so Google Analytics has that extra data of another page view 20 seconds after the first one. So they know that I was on here for 20 seconds.

In this case, the intuitive time on page is 20 seconds, and the actual time on page is also 20 seconds. Great.

Example 2: Intuitive time on page is higher than measured time on page

However, let's think about this next example. We've got a page view, event 10 seconds later, except this time instead of clicking somewhere else on the site, I'm going to just leave altogether. So there's no data available, but Google Analytics knows we're here for 10 seconds.

So the intuitive time on page here is still 20 seconds. That's how long I actually spent looking at the page. But the measured time or the reported time is going to be 10 seconds.

Example 3: Measured time on page is zero

The last example, I browse for 20 seconds. I leave. I haven't triggered an event. So we've got an intuitive time on page of 20 seconds and an actual time on page or a measured time on page of 0.

The interesting bit is when we then come to calculate the average time on page for this page that appeared here, here, and here, you would initially hope it would be 20 seconds, because that's how long we actually spent. But your next guess, when you look at the reported or the available data that Google Analytics has in terms of how long we're on these pages, the average of these three numbers would be 10 seconds.

So that would make some sense. What they actually do, because of this formula, is they end up with 30 seconds. So you've got the total time here, which is 30, divided by the number of views, we've got 3 views, minus 2 exits. Thirty divided 3 minus 2, 30 divided by 1, so we've got 30 seconds as the average across these 3 sessions.

Well, the average across these three page views, sorry, for the amount of time we're spending, and that is longer than any of them, and it doesn't make any sense with the constituent data. So that's just one final tip to please not use average time on page as a reporting metric.

I hope that's all been useful to you. I'd love to hear what you think in the comments below. Thanks.

Video transcription by Speechpad.com


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Wednesday, November 11, 2020

Homemade Cranberry Sauce

{EntryTitle} was first posted on My Baking Addiction

Location Data + Reviews: The 1–2 Punch of Local SEO (Updated for 2020)

Posted by MiriamEllis

localseocombo.jpg

Get found. Get chosen.

It’s the local SEO two-step at the heart of every campaign. It’s the 1-2 punch combo that hinges on a balance of visible, accurate contact data, and a volunteer salesforce of consumer reviewers who are supporting your rise to local prominence.

But here’s the thing: while managed location data and reviews may be of equal and complementary power, they shouldn’t require an equal share of your time.

Automation of basic business data distribution is the key to freeing you up to focus on the elements of listings that require human ingenuity — namely, reviews and other listings-based content like posts and Q&A.

It’s my hope that sharing this article with your team or your boss will help you get the financial allocations you need for automated listings management, plus generous resources for creative reputation management.

Location data + reviews = the big picture

When Google lists a business, it gives good space to the business name, and a varying degree of space to the address and phone number. But look at the real estate occupied by the various aspects associated with reputation:

If Google cares this much about ratings, review text, responses, and emerging elements like place topics and attributes, any local brand you’re marketing should see these factors as a priority. In this article, I’ll strive to codify your actionable perspective on managing both location data and the many aspects of reviews.

Ratings: The most powerful local filter of them all

In the local SEO industry, we talk a lot about Google’s filters, like the Possum filter that’s supposed to strain local businesses through a sort of sieve so that a greater diversity of mapped results is shown to the searcher. But searchers have an even more powerful filter than this — the human-driven filter of ratings that helps people intuitively sort local brands by perceived quality.

Whether they’re stars or circles, the majority of rating icons send a 1–5 point signal to consumers that can be instantly understood. This symbol system has been around since at least the 1820s; it’s deeply ingrained in all our brains as a judgement of value.

This useful, rapid form of shorthand lets a searcher needing to do something like grab a quick taco see that the food truck with five Yelp stars is likely a better bet than the one with only two. Meanwhile, searchers with more complex needs can comb through the ratings of many listings at leisure, carefully weighing one option against another for major purchases. In Google’s local results, ratings are the most powerful human-created filter that influences the major goal of being chosen.

But before a local brand can be chosen on the basis of its high ratings, it has to rank well enough to be found. The good news is that, over the past three years, expert local SEOs have become increasingly convinced of the impact of Google ratings on Google local pack rankings. In 2017, when I wrote the original version of this post, contributors to the Local Search Ranking Factors survey placed Google star ratings down at #24 in terms of local rankings influence. In 2020, this metric has jumped up to spot #8 — a leap of 16 spots in just three years.

In the interim, Google has been experimenting with different ratings-related displays. In 2017, they were testing the application of a “highly rated” snippet on hotel rankings in the local packs. Today, their complex hotel results let the user opt to see only 4+ star results. Meanwhile, local SEOs have noticed patterns over the years like searches with the format of “best X in city” (e.g. best burrito in Dallas) appearing to default to local results made up of businesses that have earned a minimum average of four stars. Doubtless, observations like these have strengthened experts’ convictions that Google cares a lot about ratings and allows them to influence rank.

Heading into 2021, any local brand with goals of being found and chosen must view low ratings as an impediment to reaching full growth potential.

Consumer sentiment: The local business story your customers are writing for you

Here’s a randomly chosen Google 3-pack result when searching just for “tacos” in a small city in the San Francisco Bay Area:

taco3pack.jpg

We’ve just covered the topic of ratings, and you can look at a result like this to get that instant gut feeling about the 4-star-rated eateries vs. the 2-star place. Now, let’s open the book on business #3 and see precisely what kind of brand story its consumers are writing, as you would in conducting a professional review audit for a local business, excerpting dominant sentiment:

tacoaudit.jpg

It’s easy to ding fast food chains. Their business model isn’t commonly associated with fine dining or the kind of high wages that tend to promote employee excellence. In some ways, I think of them as extreme examples. Yet, they serve as good teaching models for how even the most modest-quality offerings create certain expectations in the minds of consumers, and when those basic expectations aren’t met, it’s enough of a story for consumers to share in the form of reviews.

This particular restaurant location has an obvious problem with slow service, orders being filled incorrectly, and employees who have been denied the training they need to represent the brand in a knowledgeable, friendly, or accessible manner. If you audited a different business, its pain points might surround outdated fixtures or low standards of cleanliness.

Whatever the case, when the incoming consumer turns to the review world, their eyes scan the story as it scrolls down their screen. Repeat mentions of a particular negative issue can create enough of a theme to turn the potential customer away. One survey says only up to 11% of consumers will do business with a brand that’s wound up with a 2-star rating based on poor reviews. Who can afford to let the other 91% of consumers go elsewhere?

The central goal of being chosen hinges on recognizing that your reviewer base is a massive, unpaid salesforce that tells your brand story. Survey after survey consistently finds that people trust reviews — in fact, they may trust them more than any claim your brand can make about itself.

Going into 2021, the writing is on the wall that Google cares a great deal about themes surfacing in your reviews. The ongoing development and display of place topics and attributes signifies Google’s increasing interest in parsing sentiment, and doubtless, using such data to determine relevance.

Fully embracing review management and the total local customer service ecosystem is key to giving customers a positive tale to tell, enabling the business you’re marketing to be trusted and chosen for the maximum number of transactions.

Velocity/recency/count: Just enough of a timely good thing to be competitive

This is one of the easiest aspects of review management to convey. You can sum it up in one sentence: don’t get too many reviews at once on any given platform but do get enough reviews on an ongoing basis to avoid looking like you’ve gone out of business.

For a little more background on the first part of that statement, watch Mary Bowling describing in this LocalU video how she audited a law firm that went from zero to thirty 5-star reviews within a single month. Sudden gluts of reviews like this not only look odd to alert customers, but they can trip review platform filters, resulting in removal. Remember, reviews are a business lifetime effort, not a race. Get a few this month, a few next month, and a few the month after that. Keep going.

The second half of the review timing paradigm relates to not running out of steam in your acquisition campaigns. Multiple surveys indicate that the largest percentage of review readers consider content from the past month to be most relevant. Despite this, Google’s index is filled with local brands that haven’t been reviewed in over a year, leaving searchers to wonder if a place is still in business, or if it’s so unimpressive that no one is bothering to review it.

While I’d argue that review recency may be more important in review-oriented industries (like restaurants) vs. those that aren’t quite as actively reviewed (like septic system servicing), the idea here is similar to that of velocity, in that you want to keep things going. Don’t run a big review acquisition campaign in January and then forget about outreach for the rest of the year. A moderate, steady pace of acquisition is ideal.

And finally, a local SEO FAQ comes from business owners who want to know how many reviews they need to earn. There’s no magic number, but the rule of thumb is that you need to earn more reviews than the top competitor you are trying to outrank for each of your search terms. This varies from keyword phrase, to keyword phrase, from city to city, from vertical to vertical. The best approach is steady growth of reviews to surpass whatever number the top competitor has earned.

Authenticity: Honesty is the only honest policy

For me, this is one of the most prickly and interesting aspects of the review world. Three opposing forces meet on this playing field: business ethics, business education, and the temptations engendered by the obvious limitations of review platforms to police themselves.

I often recall a basic review audit I did for a family-owned restaurant belonging to a friend of a friend. Within minutes, I realized that the family had been reviewing their own restaurant on Yelp (a glaring violation of Yelp’s policy). I felt sorry to see this, but being acquainted with the people involved (and knowing them to be quite nice!), I highly doubted they had done this out of some dark impulse to deceive the public.

Rather, my guess was that they may have thought they were “getting the ball rolling” for their new business, hoping to inspire real reviews. My gut feeling was that they simply lacked the necessary education to understand that they were being dishonest with their community and how this could lead to them being publicly shamed by Yelp, or even subjected to a lawsuit, if caught.

In such a scenario, there’s definitely an opportunity for the marketer to offer the necessary education to describe the risks involved in tying a brand to misleading practices, highlighting how vital it is to build trust within the local community. Fake positive reviews aren’t building anything real on which a company can stake its future. Ethical business owners will catch on when you explain this in honest terms and can then begin marketing themselves in smarter ways.

But then there's the other side. Mike Blumenthal’s reporting on this has set a high bar in the industry, with coverage of developments like the largest review spam network he’d ever encountered. There's simply no way to confuse organized, global review spam with a busy small business making a wrong, novice move. Real temptation resides in this scenario, because, as Blumenthal states:

“Review spam at this scale, unencumbered by any Google enforcement, calls into question every review that Google has. Fake business listings are bad, but businesses with 20, or 50, or 150 fake reviews are worse. They deceive the searcher and the buying public and they stain every real review, every honest business, and Google.”

When a platform like Google makes it easy to “get away with” deception, companies lacking ethics will take advantage of the opportunity. Beyond reporting review spam, one of the best things we can do as marketers is to offer ethical clients the education that helps them make honest choices. We can simply pose the question:

Is it better to fake your business’ success or to actually achieve success?

Local brands that choose to take the high road must avoid:

  • Any form of review incentives or spam
  • Review gating that filters consumers so that only happy ones leave reviews
  • Violations of the review guidelines specific to each review platform

Owner responses: creatively turning reviews into two-way conversations

Over the years, I’ve devoted abundant space in my column here at Moz to the fascinating topic of owner responses. I’ve highlighted the five types of Google My Business reviews and how to respond to them, I’ve diagrammed a real-world example of how a terrible owner response can make a bad situation even worse, and I’ve studied basic reputation management for better customer service and how to get unhappy customers to edit their negative reviews.

My key learnings from nearly two decades of examining reviews and responses are these:

  • Review responses are a critical form of customer service that can’t be ignored any more than business staff should ignore in-person customers asking for face-to-face help. Many reviewers expect responses.
  • The number of local business listings in every industry with zero owner responses on them is totally shocking.
  • Negative reviews, when fairly given, are a priceless form of free quality control for the brand. Customers directly tell the brand which problems need to be fixed to make them happy.
  • Many reviewers think of their reviews as living documents, and update them to reflect subsequent experiences.
  • Many reviewers are more than happy to give brands a second chance when a problem is resolved.
  • Positive reviews are conversations starters warmly inviting a response that further engages the customer and can convince them that the brand deserves repeat business.

Local brands and agencies can use software to automate updating a phone number or hours of operation. Software like Moz Local can be of real help in alerting you to new, incoming reviews across multiple platforms, or surfacing the top sentiment themes within your review corpus.

Tools free up resources to manage what can’t be automated: human creativity. It takes serious creative resources to spend time with review sentiment and respond to customers in a way that makes a brand stand out as responsive and worthy. It takes time to fully utilize the opportunities owner responses represent to impact goals all the way from the top to the bottom of the sales funnel.

I’ve never forgotten a piece Florian Huebner wrote for StreetFight documenting the neglected reviews of a major fast food chain and its subsequent increase in location closures and decrease in profits. No one was taking the time to sit down with the reviews, listen, fix problems customers were citing, or offer proofs of caring resolution via owner responses.

And all too often, when brands large and small do respond to reviews, they take a corporate-speak stance equivalent to “whistling past the graveyard” when addressing complaints. To keep the customer and to signal to the public that the brand deserves to be chosen, creative resources must be allocated to providing gutsy, honest owner responses. It’s easy to spot the difference:

whistlinggutsy.jpg

The response in yellow signals that the brand simply isn’t invested in customer retention. By contrast, the response in blue is a sample of what it takes to have a real conversation with a real person on the other side of the review text, in hopes of transforming one bad initial experience into a second chance, and hopefully, a lifetime of loyalty.

NAP and reviews: The 1–2 punch combo every local business must practice

Right now, there’s an employee at a local business or a staffer at an agency who is looking at the review corpus of a brand that’s struggling for rankings and profits. The set of reviews contains mixed sentiment, and no one is responding to either positive or negative customer experiences.

Maybe this is an issue that’s been brought up from time to time in company meetings, but it’s never made it to priority status. Decision-makers have felt that time and budget are better spent elsewhere.

Meanwhile, customers are quietly trickling away for lack of attention, leads are being missed, structural issues are being ignored…

If the employee or staffer I’m describing is you, my best advice is to make 2021 the year you make your strongest case for automating listing distribution and management with software so that creative resources can be dedicated to full reputation management.

Local SEO experts, your customers and clients, and Google, itself, are all indicating that location data + reviews are highly impactful and here to stay. In fact, history proves that this combination is deeply embedded in our entire approach to local commerce.

When traveling salesman Duncan Hines first published his 1935 review guide Adventures in Good Eating, he was developing what we think of today as local SEO. Here is my color-coded version of his review of the business that would one day become KFC. It should look strangely familiar to anyone who has ever tackled local business listings management:

duncanhines.jpg

No phone number on this “citation,” of course, but telephones were quite a luxury in 1935. Barring that element, this simple and historic review has the core earmarks of a modern local business listing. It has location data and review data; it’s the 1–2 punch combo every local business still needs to get right today. Without the NAP, the business can’t be found. Without the sentiment, the business gives little reason to be chosen.

From Duncan Hines to the digital age, there may be nothing new under the sun in marketing, but striking the right pose between listings and reputation management may be new news to your CEO, your teammates, or clients. So go for it — communicate this stuff, and good luck at your next big meeting!

Check out the new Moz Local plans that let you take care of location data distribution in seconds so that the balance of your focus can be on creatively caring for the customer.

New Moz Local Plans


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Tuesday, November 10, 2020

Behind the SEO: Launching Our New Guide — How to Rank

Posted by Cyrus-Shepard

Seven years ago, we published a post on the Moz Blog titled "How to Rank: 25 Step Master SEO Blueprint."

From an SEO perspective, the post did extremely well.

Over time, the "How to Rank" post accumulated:

  • 400k pageviews
  • 200k organic visits
  • 100s of linking root domains

Despite its success, seven years is a long time in SEO. The chart below shows what often happens when you don't update your content.

Predictably, both rankings and traffic declined significantly. By the summer of 2020, the post was only seeing a few hundred visits per month.

Time to update

We decided to update the content. We did this not only for a ranking/traffic boost, but also because SEO has changed a lot since 2013.

The old post simply didn't cut it anymore.

To regain our lost traffic, we also wanted to leverage Google's freshness signals for ranking content.

Many SEOs mistakenly believe that freshness signals are simply about updating the content itself (or even lazier, putting a new timestamp on it.) In actuality, the freshness signals Google may look actually take many different forms:

  1. Content freshness.
  2. Rate of content change: More frequent changes to the content can indicate more relevant content.
  3. User engagement signals: Declining engagement over time can indicate stale content.
  4. Link freshness: The rate of link growth over time can indicate relevancy.

To be fair, the post had slipped significantly in all of these categories. It hasn't been updated in years, engagement metrics had dropped, and hardly anyone new linked to it anymore.

To put it simply, Google had no good reason to rank the post highly.

This time when publishing, we also decided to launch the post as a stand-alone guide — instead of a blog post — which would be easier to maintain as evergreen content.

Finally, as I wrote in the guide itself, we simply wanted a cool guide to help people rank. One of the biggest questions we get from new folks after they read the Beginner's Guide to SEO is: "What do I read next? How do I actually rank a page?"

This is exactly that SEO guide.

Below, we'll discuss the SEO goals that we hope to achieve with the guide (the SEO behind the SEO), but if you haven't check it out yet, here's a link to the new guide:

How to Rank On Google


SEO goals

Rarely do SEO blogs talk about their own SEO goals when publishing content, but we wanted to share some of our strategies for publishing this guide.

1. Keywords

First of all, we wanted to improve on the keywords we already rank for (poorly). These are keywords like:

  • How to rank
  • SEO blueprint
  • SEO step-by-step

Our keyword research process showed that the phrase "SEO checklist" has more search volume and variations that "SEO blueprint", so we decided to go with "checklist" as a keyword.

Finally, when doing a competitor keyword gap analysis, we discovered some choice keywords that our competitors are ranking for with similar posts.

Based on this, we knew we should include the word "Google" in the title and try to rank for terms about "ranking on Google."

2. Featured snippets

Before publishing the guide, our friend Brian Dean (aka Backlinko) owns the featured snippet for "how to rank on Google."

It's a big, beautiful search feature. And highly deserved!

We want it.

There are no guarantees that we'll win this featured snippet (or others), but by applying a few featured snippets best practices—along with ranking on the first page—we may get there.

3. Links

We believe the guide is great content, so we hope it attracts links.

Links are important because while the guide itself may generate search traffic, the links it earns could help with the rankings across our entire site. As Rand Fishkin once famously wrote about the impact of links in SEO, "a rising tide lifts all ships."

Previously, the old post had a few hundred linking root domains pointing at it, including links from high-authority sites like Salesforce.

Obviously, we are now 301 redirecting these links to the new guide.

We'll also update internal links throughout the site, as well as adding links to posts and pages where appropriate.

To help build links in the short-term, we'll continue promoting the guide through social and email channels.

Long-term, we could also do outreach to help build links.

To be honest, we think the best and easiest way to build links naturally is simply to present a great resource that ranks highly, and also that we promote prominently on our site.

Will we succeed?

Time will tell. In 3-6 months we'll do an internal followup, to track our SEO progress and see how we measured up against our goals.

To make things more complicated, SEO is far more competitive than it was 7 years ago, which makes things harder. Additionally, we're transparently publishing our SEO strategy out in the open for our competitors to read, so they may adjust their tactics.

Want to help out? You can help us win this challenge by reading and sharing the guide, and even linking to it if you'd like. We'd very much appreciate it :)

To your success in SEO.


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Monday, November 9, 2020

Pumpkin Cheesecake

{EntryTitle} was first posted on My Baking Addiction

How We Became Digital Marketers in Just One Summer

Posted by rootandbranch

Editor’s note: This blog is from the perspective of five University of Pittsburgh students — Kirsten, Steve, Darcie, Erin, and Sara — who completed a class this summer called "Digital Marketing Search Fundamentals", taught by Zack Duncan of Root and Branch.

Introduction

Our digital marketing class this summer did not give us credits that count towards graduation (in fact, some of us graduated in Spring 2020), nor did it give us a grade. Instead, we learned about paid search and organic search along with some of the key concepts central to digital marketing. We also became certified in Google Ads Search along the way. 

We each had different reasons for taking the course, but we all believe that digital marketing will have value for us in our lives.

At the beginning of the term, in June 2020, we were asked, “What is one thing you’re hoping to get out of this class?” Here are some of our responses to that question:

  • I hope to gain a strong understanding of SEO and Google Ads, and to get hands-on experience to understand how both would be used in a work setting.
  • I want to learn something about marketing that I might not learn in the classroom.
  • I'm hoping to become more competitive in this difficult job market.
  • I hope to build on my resume and develop skills for personal use.
  • I want to learn a foundational skill that can be applied in many different aspects of business. 

Now that we’ve completed the class, we wanted to share our thoughts on why we believe digital marketing matters — both for our lives today and as we look ahead to the future. We’re also going to cover five of the most important building blocks we learned this summer, that have helped us see how all the pieces of digital marketing fit together.

Part 1: Why digital marketing matters

Why digital marketing training matters now

To become more competitive candidates in applying for jobs

Some of us are recent grads in the midst of searching for our first jobs after college. Some of us are still in school and are actively looking for internships. We’ve all seen our fair share of job listings for positions like “Digital Marketing Intern” or “Digital Marketing Associate”. Given that the majority of us are marketing majors, you might think it’s safe to assume we would be qualified for at least an interview for those positions. 

Nope. 

Before gaining a solid foundation in digital marketing, we were often quite limited in the listings we were qualified for. But things have been changing now that we can say we’re certified in Google Ads Search and can speak to topics like digital analytics, SEO, and the importance of understanding the marketing funnel.

To help with growing freelance side businesses

Towards the beginning of the pandemic, a few of us were dangerously close to graduation with little to no hope of finding a job in marketing. Instead of binge-watching Netflix all day and hoping some fantastic opportunity would magically come our way, the entrepreneurial among us decided to see how we could use our current skills to generate revenue. 

One of us is especially interested in graphic design and learned everything there was to know in Adobe Creative Suite to become a freelance graphic designer, starting a side business in graphic design, and designs logos, labels, menus, and more.

After this class, finding clients has changed in a big way now. Instead of being limited to looking for clients in social media groups, digital marketing knowledge opens up a whole new world. With a functioning website and a knowledge of both paid and organic search, the process of finding new customers has dramatically changed (for the better!).

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To be more informed consumers

While a digital marketing background doesn’t instantly translate to job opportunities for everyone, it can help all of us become more informed consumers.

As consumers, we want to pay for quality goods and services at a fair price. Some basic digital marketing knowledge gives us a better understanding of why the search engine results page (SERP) findings show up in the order that they do. Knowing about keywords, domain authority (for organic search) and quality scores (for paid results) can demystify things. And that’s just on the SERP.

Moving off the SERP, it’s helpful to know how nearly every advertisement we see is somehow targeted to us. If you are seeing an ad, there is a very good chance you fall into an audience segment that a brand has identified as a potential target. You may also be seeing the ad due to a prior visit to the brand’s website and are now in a retargeting audience (feel free to clear out those cookies if you’re sick of them!).

The more information you have as a consumer, the more likely you are to make a better purchase. These few examples just go to show how digital marketing training matters now, even if you are not the one actively doing the digital marketing.

How a digital marketing foundation be useful in the future

It’s helpful in creating and growing a personal brand

Your brand only matters if people know about it. You could sit in your room and put together the most awesome portfolio website for yourself and create a solid brand identity, but if no one else knows about it, what’s the point? Digital marketing concepts like understanding SEO basics can help make your presence known to potential customers, employers, and clients.

It would be terrible if your competition got all the business just because you didn’t use the simple digital marketing tools available to you, right? Digital marketing efforts can have many different goals ranging from making sales to just increasing general awareness of your brand, so get out there and start!

To become a more flexible contributor in future career opportunities

One thing we’ve heard consistently in the job search process is employers love flexible, cross functional employees. It seems the most successful and valued employees are often those that are not only experts in their field, but also have a pretty good understanding of other subjects that impact their work. Let’s say you’re an account manager for a digital agency, and you have some great insight that you think could be helpful in driving some new ad copy testing for your biggest client. It’s going to be a whole lot easier talking with your copywriter and media team (and being taken seriously by them), if you have an understanding of how the text ads are built. 

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To see data as an opportunity for action, as opposed to just numbers

Are you someone who enjoys numbers and performance metrics? That's great! So are we! But those numbers are meaningless without a digital marketing background to provide context for the data. 

Understanding data is a valuable tool for getting to know your audience and evaluating advertising campaigns. Seeing that your Google Search text ad has a poor click-through rate is only actionable if you have the foundation to take steps and improve it. Analyzing your website’s metrics and finding that you have a low average session duration is meaningless if you don’t connect the dots between the numbers and what they mean for your web design or your on-page content.

It’s pretty clear that the numbers don’t give much value to a marketer or a business without the ability to recognize what those metrics mean and the actions that can be taken to fix them. As we advance in our careers and have more and more responsibility for decision making, digital marketing fundamentals can continue to grow our experience with turning data into insight-driven action.

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To optimize for conversions — always

Whatever the goal, it’s important to know if you’re operating efficiently in terms of your conversions. In other words, you need to know if you’re getting a return for the investment (time, money, or both) you’re putting in. When you’re operating to get the most conversions for the lowest cost, you are employing a mindset that will help your marketing efforts perform as well as they can.

Having a digital marketing foundation will allow you to think intelligently about “conversions”, or the kinds of results that you’d like to see your marketing efforts generate. A conversion might be a completed sale for an e-commerce company, a submitted lead form for a B2B software company, or a new subscriber for an online publication.

Whatever the desired conversion action, thinking about them as the goal helps to give context in understanding how different marketing efforts are performing. Is your ad performing well and should it receive more media spend, or is it just wasting money? 

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Thinking about conversions isn’t always easy, and may take some trial and error, but it can lead to making smart, measurable, and cost-effective decisions. And those decisions can get smarter over time as we get more and more familiar with the five key building blocks of digital marketing (at least the five that we’ve found to be instructive).

Part 2: Understanding five building blocks of digital marketing

1. The marketing funnel (customer journey)

The marketing funnel (or the user/customer journey) refers to the process by which a prospective customer hears about a product or service, becomes educated about the product or service, and makes a decision whether or not to purchase the product or service in question.

It encompasses everything from the first time that brand awareness is established to the potential purchase made by the customer. The awareness stage can be known as the “top of the funnel”, and there are lots of potential prospects in that audience. 

From there, some prospects “move down the funnel” as they learn more and get educated about the product or service. Those that don’t move down the funnel and progress in their journey are said to “fall out” of the funnel.

As the journey continues, prospects move closer to becoming customers. Those who eventually “convert” are those that completed the journey through the bottom of the funnel.

Understanding that there is such a thing as a customer journey has helped to frame our thinking for different types of marketing challenges. It essentially boils down to understanding where, why, when, and how your prospects are engaging with your brand, and what information they will need along the way to conversion.

2. Paid search vs. organic search and the SERP

For many of us, one of the first steps in understanding paid vs. organic search was getting a handle on the SERP. 

The slide below is our “SERP Landscape” slide from class. It shows what’s coming from paid (Google Ads), and what’s coming from organic search. In this case, organic results are both local SEO results from Google My Business, and also the on-page SEO results. Here’s a link to a 92-second video with the same content from class.

We learned to look for the little “Ad” designation next to the paid text ads that are often at the top of the SERP. 

These are search results with the highest AdRank who are likely willing to bid the most on the specific keyword in question. Since paid search is based on CPC (cost per click) pricing, we learned that the advertiser doesn’t incur any costs for their ad to show up, but does pay every single time the ad is clicked. 

Although many CPCs might range in the $2 - $3 range, some are $10 and up. With that kind of investment for each click, advertisers really need to focus on having great landing pages with helpful content that will help drive conversions.

Organic search, on the other hand, is “free” for each click. But it also relies on great content, perhaps even more so than paid search. That’s because the only way to get to the top of the organic search rankings is to earn it. There’s no paying here! 

Search engines like Google are looking for Expertise, Authoritativeness, and Trustworthiness (E-A-T) in content to rank highly on the SERP. In addition to making good local sense for Google, it all comes back to the core of Alphabet’s business model, as the slide below shows.

Understanding Google’s motivations help us understand what drives organic search and the SERP landscape overall. And understanding the basics of paid and organic search is an important foundation for all aspiring digital marketers who want to work in the field.

3. Inbound vs. outbound marketing

Are you working to push a message out to an audience that you hope is interested in your product or service? If so, you’re doing some outbound marketing, whether it be traditional media like billboards, television, or magazines, or even certain types of digital advertising like digital banner ads. Think about it as a giant megaphone broadcasting a message.

Inbound work, on the other hand, aims to attract potential customers who are actively engaged in seeking out a product or service. Search marketing (both paid search and organic search) are perfect examples of inbound, as they reach prospects at the moment they’re doing their research. Instead of a megaphone, think of a magnet. The content that does the best job in solving problems and answering questions will be the content with the strongest magnetic pull that gets to the top of SERPs and converts. 

If you’re going to be here for a while, click the image below for more information on how we think about content in the context of digital marketing efforts.


4. Basic digital marketing metrics

There are some universal metrics that we all need to understand if we’re going to develop a competency in digital marketing. Click through rate (CTR), for example, is a great way to measure how effective an ad unit or organic result is in terms of generating a click. 

But before we can fully understand CTR (clicks divided by impressions), we first need to make sure we understand the component parts of the metric. Here are four of those key components that we learned about during our digital marketing training:

  • Impression: A search result (paid or organic) or an ad shows up on a page
  • Click: A user clicking the search result or ad on a page triggers a recorded click
  • Conversion: After clicking on the search result or ad, the user completes an action that is meaningful for the business. Different types of businesses have different conversion actions that are important to them.
  • Cost: While organic search results are “free” (not counting costs associated with creating content), paid ads incur a cost. Understanding the cost of any paid advertising is a crucial component of understanding performance.


How does it all work in practice? Glad you asked! Check out the example below for a hypothetical advertising campaign that served 10,000 impressions, drove 575 clicks, cost $1,000, and generated 20 conversions:

5. Platforms and tools a beginner digital marketer should use

Our class was focused on search marketing, and we talked about one platform for paid and one platform for organic. 

On the paid side, there is only one name in the game: Google Ads. Google has free training modules and certifications available through a platform called Skillshop. You’ll need a Google-affiliated email address to log in. After doing so, just search for “Google Ads Search” and you can go through the training modules shown below. 



If you’re already a Google Ads pro, you can hop right to the exam and take the timed Google Ads Search Assessment. If you can get an 80% or higher on the 50-question exam, you’ll get a certification badge!

For organic search, we learned about keyword research, title tags, H1s and H2s, anchor text in links, and more through the training available on Moz Academy. The 73-minute Page Optimization course has eight different training sections and includes an On Page Optimization Quiz at the end. Fair warning, some of the content might be worth watching a few times if you’re new to SEO. For most of us this was our first exposure to SEO, and it took some time for most of our brains to sort through the difference between a title tag and an H1 tag!

Another platform that we liked was Google Trends, which can be useful for both paid and organic search, and is just generally a cool way to see trends happening! 

There are many more resources and tools out there in the world. Some of us are aiming to get more comfortable with these fundamentals, while some others have already branched out into other disciplines like social media.

Conclusion

Thanks for coming along with us on this digital marketing journey. We hope it was a useful read!

During the process of putting this together, things have changed for us:

  • Kirsten landed a full-time job.
  • Steve started doing consulting work for a growing Shopify site in Google Ads and Google Analytics, and is planning to make consulting his full-time work.
  • Darcie landed a job as a Paid Search Analyst for a national retailer.

For all of us, we know we’re only taking the first steps of our digital marketing futures, and we’re excited to see what the future holds!


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