Megalytic Upgrade – December 2014

Published December 22, 2014
Just in time for the New Year, we’ve released a significant Megalytic upgrade, packed with new features for better reports and easier handling of large-scale reporting.
New features include:
  • KPI Widgets – Small size indicators that provide at-a-glance reporting on the performance of key metrics. This is something people have been clamoring for -details here.
  • User Workspaces and Security – Each user in your organization who logs in to Megalytic can now have their own personalized workspace where they see only the reports they need to see – details here.
  • Custom Dimensions – Create charts and tables using Google Analytics Custom Dimensions.
  • Content Groups – Support for Google Analytics Content Groups has been added.
  • Week Ending Day Adjustment – Choose either Saturday or Sunday for the week ending day in charts and tables based on Google Analytics data.

Megalytic's new KPI Widgets


KPI Widgets

Customers have asked for the ability to create smaller widgets that can fit two or four in a row. We’re excited to announce this feature is now available in your Megalytic reports!

Use KPI Widgets to highlight key metrics in your reports without taking up too much space. They are great for executive summaries or for leading off a new section with key data before exploring in depth later on.

The KPI Widget uses half a row and includes a metric, sparkline and one or two (optional) comparison periods.


Megalytic KPI Widget


The Multi KPI widget uses a half or full row and includes a metric, sparkline and one or two (optional) comparison periods.


Megalytic Multi-KPI Widget


User Workspaces and Security

Designed for teams collaborating on a large number of reports, User Workspaces allow each team member access to only the reports they need. This keeps the Megalytic dashboard uncluttered and simplifies the report-creating environment for each individual user.

Security is an additional benefit. For example, if certain reports are only authorized for access by a particular employee or team, access can be restricted to the appropriate users’ workspaces.

To implement Security and Workspaces, Megalytic now supports two types of users: Admin and Standard Users.

Standard Users are limited to accessing the reports in their Workspace.

Admin Users will continue to have access to all reports, and can manage the access of others using the new Workspace Manager shown below.


Megalytic Workspace Manager


Custom Dimensions

Google Analytics Custom Dimensions are now available in the same widgets that support Custom Variables. There are widgets for tracking Traffic, Conversions, Events and Ecommerce by Custom Dimensions (and Custom Variables).

The documentation on these Custom Dimension widgets provides more information.

Content Groups

We’ve introduced the new Traffic by Content Group widget to enable reporting on page traffic grouped by Google Analytics Content Grouping. You need to have Content Groups defined in a Google Analytics view in order to use this widget.

Week Ending Day Adjustment

Megalytic now enables you to select the week ending day for Google Analytics reporting as either Saturday or Sunday. Many organizations like to report weeks ending on Sunday (and beginning on Monday). That is the Megalytic default.

However, in Google Analytics standard reports, weeks are reported ending on Saturday. Now, you can change the default behavior of Megalytic to match Google Analytics and report weeks ending on Saturday.

Check on the Week Ending Day documentation for details.


What do you think? That’s five new features to help you streamline large-scale reporting!

To try out Megalytic and any (or all!) of the newly released features, start a free, 14-day trial (no credit card required)!

If you already have a trial account and it has expired, please contact us and let’s get it restarted!


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.