Megalytic Upgrade – October 2014

Published October 29, 2014
The latest upgrade to Megalytic focuses on improving the readability of reports, enhancing date comparisons, and improvements to the user interface for building and editing reports.

More readable reports

Darker, crisper fonts and sharper borders make reports even more attractive and easy to read. Here’s an example of the Rolling Average chart showing how well all the elements “pop” off the screen and printed page.

Improved Readability: Gorgeous, High Contrast, Charts and Tables for Web or PDF

Megalytic's Rolling Average Chart for Google Analytics Data


This upgrade went live on October 24. You can start a free, 14-day trial (no credit card required).
If you already have a trial account, and it has expired, please contact us to get your trial restarted so you can check out these new features.

Packed with Enhancements

The latest upgrade is packed with enhancements such as:

  • Date range comparisons for time series charts.
  • Demographic data in charts and tables.
  • Multiple Goals Widget for charts or tables comparing performance against multiple Google Analytics Goals.
  • Page numbering.
  • Logo resizing and alignment.
  • Copy (duplicate) widgets.
  • Scrolling report toolbar.
  • Customizing the default connection names.

Date range comparisons for time series charts

Megalytic has always supported date range comparisons in tables. Now, we support date range comparisons using line or bar style time series charts. For example, the chart below shows the daily traffic for September vs August. Check out this support document to learn how to make these types of charts: Date Period Comparisons.

Megalytic chart comparing daily website traffic for August vs September

Demographic data in charts and tables

Megalytic now has full support for demographic data from Google Analytics. You can create charts and tables that show metrics by gender, age group, affinity, in-market, and other categories. Read this support document to learn how to use demographic data: Demographic Data.

Multiple Goals Widget

You can now compare Google Analytics goals with each other in a single chart or table. For example, if you have goal tracking for both signups and logins, here is the kind of table you can create that tracks them together.

Megalytic chart showing Google Analytics Goals for Signups vs Logins

Check out the support documentation to learn more: Multiple Goals Widget.

Page numbering

Long reports are easier to read and reference with page numbers. You can now turn them on and off in the report editor as described in the support document: Page Numbering.

Logo resizing and alignment

Report logos can now be resized and aligned left, center, or right. Improved flexibility to make your cover pages look just right. See the support document: Resize and Align Logos.

Copy (duplicate) widgets

Often times, you want to add multiple copies of a widget to a report. For example, suppose you have 8 campaigns and you want to show a table of the conversions by age group for each campaign. With the new widget copy feature, you can simply set the widget up once, copy it 7 times, and then change the campaign filter in each widget to correspond to each of your campaigns. See the support documentation for details: Copy (Duplicate) a Widget.

Scrolling report toolbar

You can now open the widget library from anywhere within a report (without having to scroll back up to the top to click “+Add Widget”). In fact, all the basic report actions are available from anywhere in a report because the report toolbar scrolls along with you as you edit your report. See the support documentation: Report Toolbar.

Customizing the default connection names

Sometimes, for reporting purposes, you want to change the name of the Google Analytics Property and View. For example, if many of your Views are named “All Website Data”, this can cause reports to be confusing. Megalytic now lets you change these default names, so you can use more descriptive names in your reports. See this support document to learn how: Changing Connection Names in Reports.


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.