Custom Color Themes (Upgrade - March 2017)

Published February 27, 2017
Users have been asking for customizable report colors for a while, and I'm delighted to announce that we have just released Report Themes to address that need.
Megalytic's Report Themes enable you to customize the colors used in your reports. We provide several built-in themes to choose from. In addition, you can create your own themes, either by customizing ours, or by creating your own.


See our press release for more details.
In addition, we've packed a bunch of additional powerful improvements in to this upgrade:
  • Facebook Ads Filtering – We've added filtering to the Facebook Ads widgets. Have hundreds of campaigns in your Facebook Advertising account? No worries, now you can use filters to show users only the campaigns that you want them to see. You can also filter by Ad Set, Ad, and by certain metric values.
  • New AdWords Metrics – AdWords widgets now provide access to All conv. value, View-through conv., Quality Score, and Search Impression Share.
  • Support for AdWords expanded text ads.
  • Improved placement names for AdWords Mobile app ads.
  • Filtering of Image Ads (AdWords) based on the creative name.
  • AdWords filtering by Display Network dimensions (Placement, Keyword).
  • Reporting on AdWords Status (Enabled, Paused, Removed).
If you have any questions, please reach out to us via our support channel. Or, if you'd like to give Megalytic a try, sign up for our free 14 day trial.


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.