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Google Analytics Dashboards or Reports - Which Is Better?

Published December 5, 2014
Your company wants to promote a data-driven culture. As the resident data guru, part of your job entails recommending what tools and process the organization should adopt to get the right data into the right hands to help drive internal decision making. For example, you may be asked explain the pros and cons of dashboards vs reports; or to provide a wider set of options for data sharing.
You could simply give everybody access to the company’s Google Analytic accounts. But, after a little bit of thought, you realize that will probably not work. After all, most of the marketing team doesn’t know how to use Google Analytics to get the data they need, and they are too busy to learn. Also, maybe handing over full Analytics access to everyone in the building isn’t the best idea.
And truthfully, not everyone wants all the data. What the marketing staff wants is easy access to data that helps them make the specific decisions they need to make. It’s the data most relevant to their story. They need to answer questions, such as:
  • Which campaign generated the most sales last month?
  • Did the new checkout design reduce abandoned carts?
  • Which acquisition channel is doing the best job bringing in visitors from our target demographic?
  • How does the conversion rate for the latest Twitter advertising campaign compare with the one we ran last month?
  • Is the new AdWords remarketing campaign contributing more to sales than it costs?
Each of these questions can be answered with Google Analytics. However, it takes a skilled web analyst driving the tool to bring forth the data to do it.
The key to a data-driven culture is leveraging the abilities of your skilled web analysts to produce data the entire marketing department can consume. This means providing your data gurus with tools to automate the process of producing the data, and also – possibly – some administrative support to help them pull everything together.
As you work on designing and implementing your organization’s solution, you are going to need to decide whether to distribute the data using dashboards, reports, or both. Dashboards and reports each have their strengths, but are suited to different purposes.
This post explores when you should use dashboards and when you should use reports.

google analytics dashboards vs reports

 

Dashboards are like Scoreboards at a Baseball Stadium

A web analytics dashboard is like a scoreboard at a baseball stadium. At a glance, you can read it and understand a lot of vital information about what is going on. Which team is winning? What is the score? Have their been any errors? What inning are we in?

 

Yankee Stadium Scoreboard 2004 ACLS Game 7

 

That’s the scoreboard at Yankee Stadium at the end of Game 7 of the 2004 American League Championship Series. The year that the Red Sox came from behind in the series 0-3 to win the next four games and then go on to win their first world series since 1918.

I remember watching that game with my then-4 year old son. He became a die-hard Red Sox fan, which has been tough since we live in the suburbs of New York City!

You can learn a lot from that scoreboard:

  • Red Sox won 10-3
  • The Red Sox were ahead the entire game.
  • The Yankees committed an error.
  • The Red Sox out-batted the Yankees 13 hits to 5

But, you cannot tell how the Red Sox won. What strategies worked? Who were the key players? Was the Yankees pitching really bad, or were the Red Sox’s batters on fire in the early innings? Etc., etc.

A Google Analytics dashboard is a lot like that scoreboard. It will give you a good idea of what has been going on. It can alert you to any problems (e.g., traffic is way down) or let you know when things are going really well (e.g., Ecommerce sales are way up).

But, also like that scoreboard, a dashboard is a single page. It cannot provide enough data to answer the deeper questions like, “Which campaign is driving the surge in Ecommerce and what products are people buying?”

Granted, a well-designed dashboard can be set up to answer some of those questions – but the problem is there isn’t enough real estate on a dashboard to answer all the questions, all the time. And the questions keep changing, along with the website, season and marketing tactics.

Reports are often a better tool for answering all of those why questions.

Reports are like the Post Game Analysis

If you need to understand how the Red Sox won Game 7 (or how the Yankees lost), you need to read the post game analysis. There, you will find facts and figures combined with text that interprets the events.

 

Derek Lowe Clutch Pitching in Game 7 2004 ALCS

 

You can read the full post-game analysis here: 2004 ALCS Game 7

In the post-game analysis, you’ll learn that Derek Lowe pitched the game of his career after having a miserable regular season. You will also find out that Johnny Damon – who had been 3 for 29 going into game 7 – hit a grand slam in the 2nd inning and a two-run homer in the 4th.

A good Google Analytics report should be a lot like the post-game analysis. It will tell you which campaigns were the key contributors to success. There will be text to describe why the Facebook campaign isn’t reaching the 18-26 female demographic it was expected to appeal to. And there will be numbers, charts and graphs to back up the points.

The key difference then, is this:

Dashboards show results. Reports tell a story.

When to Use Dashboards

Since dashboards show results, they are most useful for keeping your key performance indicators (KPIs) top of mind across your organization. Which are the KPIs that your entire marketing department needs to be on top of? Maybe stats such as:

  • New subscribers vs target so far this month
  • Average Order Size (AOS) for ecommerce transactions this week
  • Sessions this week vs same period last year

A dashboard provides vital statistics that the marketing organization needs to know in order to tell whether they are meeting their objectives.

Google Analytics has a pretty decent dashboard builder. Below is an example of one that I use to keep track of some Megalytic KPIs like New Accounts and Blog Traffic.

 

Google Analytics Dashboard - Example

 

One of the most useful features of Google Analytics Dashboards is the ability to share them with other users. When you first create a Dashboard, it is private to you. But, by selecting “Share Object” from the Share menu at the top of the Dashboard, you can make it public so anybody logging in to the Google Analytics View where you created the dashboard will have access to it.

 

Sharing a Google Analytics Dashboard

 

Once you have shared your Dashboard, it appears under Dashboards > Shared.

 

Menu Location of Shared Google Analytics Dashboard

 

There are, however, some limitations to Google Analytics Dashboards. First, they require the user to have access to Google Analytics. Some organizations need to restrict access to Google Analytics for security or confidentiality reasons. So, if your organization is not comfortable with everybody having access to Google Analytics, then this isn’t the right solution for broad sharing of analytics data.

Secondly, you may want to include other data, besides just Google Analytics, in your dashboard. Maybe revenue numbers from your payment system. Or statistics from social media, such as likes, retweets, etc.

In those cases, you might want to explore third party dashboard tools. A couple that have impressed me are GeckoBoard and DashThis.

When to Use Reports

Reports tell a story with data and words. Use reports when your audience needs to get into the why of the results to make decisions about what to do next – either building on past success or abandoning a failed campaign to try something new.

Not everybody needs the same story. The content marketing folks want to hear the story about which content types drive engagement and where the engaged visitors come from. The PPC advertising people want to hear the story about which campaigns produce the most revenue (or generate the most leads) for the lowest cost. The web design folks want to hear the story about the impact of the redesigned navigation on the conversion funnel. Everybody has their own money metrics.

Telling those stories – and providing the insight needed for decision making – means combining data in charts and tables with commentary to interpret the data. Reports like these might run 2 – 10 pages, depending on how in-depth the analysis needs to be.

Below is a snippet from a report. Notice the use of a map to show the locations where online hotel reservations are coming from, together with text that explains the significance of the data. This part of the report is telling a story about the surge in reservations coming from the UK.

A Megalytic Report Snippet

 

You can download the full report here: Downing Bay Hotel Website Report.

There is no way to create reports like this in Google Analytics. Traditionally, people have cut and pasted Google Analytics charts and tables into a word processor, or exported data into a spreadsheet, and pulled everything together into a report manually.

Now, however, you can use Megalytic to automate the process of creating these reports. Megalytic enables you to set up reports for various audiences (e.g., Content Marketing, PPC Advertising, Web Design) as templates. The reports built from these templates are tied-in directly to your Google Analytics account and the data, charts, maps, graphs, etc. – can all be updated automatically each month or week.

For more detail on how reporting with Megalytic works, see this blog post: Google Analytics Report Templates for Automating Monthly Reports.

Conclusion

They key to achieving a data-driven culture is distributing data to your organization in a manner that is tailored to the decision-making needs of your various constituencies. Dashboards are best for keeping people focused on a set of KPIs that measure success. Reports are best at providing the analysis needed to support informed decision making. Most organizations need both.

ALSO IN THIS BLOG

When the client first came to you, you talked up the value of Google Analytics. You emphasized the importance of seeing where your traffic was coming from. You went on and on about how Google Analytics can show traffic sources to pinpoint whether people came from search, social media or a specific site referral, and how valuable this data was. You sold them on it, so much so that your client looked forward to receiving that first report, the magical day when they would finally understand where visitors were coming from.
But then the report came, and it looked like this:

 

 

It showed that 10% of your client’s traffic came from “(direct)/(none)”. What does this label mean? How do you explain Direct traffic to your client? Better yet, how do you explain “none”?
Let’s take a closer look at understanding Direct traffic in Google Analytics and how we can address it with clients.
Digital marketers spend a lot of time focused on PPC and SEO campaigns in order to drive desirable traffic to a website. The phrases we’re ranking for and bidding on get meticulous attention, so much so that we often forget about some of the other ways that visitors find us.

We put a tremendous amount of the effort we put into reviewing organic search data and PPC campaign performance in analytics. But how closely do we monitor referral reports?

If that’s not a channel you review regularly, you may be missing out on seeing traffic that is coming directly from links you’ve obtained around the web, local business listings, news mentions, and more. Many times, links are only considered as a means to an end, a metric that Google uses in determining how to rank sites in the SERPs (search engine results pages). But the fact is, many of a site’s links may be directly contributing to its traffic.

In this article, we’ll review how to look at referral reports in Google Analytics, and some of the many ways to use that data to better inform your web marketing decisions.

 

Remember how your mom told you not to stand too close to the television because it might hurt your eyes?

The same rules can apply to data. If you’re too close, you may miss the patterns and trends that are crucial to understanding your website’s performance. You can’t judge a site’s performance looking at data in the bubble of a single day, you must consider any day’s traffic compared to the days before and after.

Google Analytics makes it fairly easy to analyze trends over long periods of time. But it also allows you to stand right in front of that TV, to look at more granular levels of time, right down to the hour.
There’s a better way to get that close to the data, without burning your retinas. We’ll cover how to analyze traffic effectively in today’s post.