Customizing Megalytic: Traffic by Platform/Device Widget

Published November 24, 2015
If you’ve been reading the Megalytic blog for any length of time, you know we take getting to know your audience pretty seriously. We think all businesses should know what their audience looks like, what they’re interested in and the types of content they’re most prone to read and to share. However, that’s not all. Evaluating you website users’ technology –or how they are physically accessing your website—is equally important, and allows you to better plan site builds, flag device-specific issues, and better understand your audience overall.
This data proves valuable not only for developers and creative staff, but also for clients who want a better grasp of how people are accessing their sites.
As mobile and tablet devices continue to dominate a larger percentage of Internet access, you’ll want to include this data in your reports. To easily break down what devices people used to view your site, use the Traffic by Platform/Device widget within Megalytic.



Identifying Site Errors with Google Analytics

Published November 19, 2015
Google Analytics is one of the most insightful ways to see how people are using your site. But it’s also incredibly useful for identifying problems that your users are encountering while they are there. Patterns like drop-offs in traffic can guide you toward issues that need your attention, while direct metrics like error page hits and notifications in your account can indicate potential problems you need to fix. There are a few sections of Google Analytics that can be highly informative for helping you assess possible site errors.



How to Show Spreadsheet Data & Images in Megalytic

Published November 16, 2015
Marketers love Megalytic because it allows them to portray and filter data from Google Analytics, AdWords and Search Console in near endless ways. This allows marketers to present better marketing insights to their boss or client to inform decisions and see greater results. However, sometimes the data you want to show isn’t coming from Google—it’s coming from a third-party source that may not directly integrate. In these occasions, marketers are able to add data to Megalytic reports in different ways – they can use the CSV widget within Megalytic to import data as a table within the report or use the image widget to enter the data as a screenshot.
In this post, we’ll show you how to include spreadsheet data and images in Megalytic. Let’s start with how to use the CSV widget.



Building a Successful Display Campaign in Google AdWords

Published November 7, 2015
When you think of Google AdWords, you may immediately associate it with paid search – bidding on keywords for ads to show up in search results. However, AdWords also offers powerful capabilities for targeting individuals via display advertising. Display advertising includes several forms of online advertising including banner ads, text ads and others. A strong display campaign can provide excellent support for reaching people beyond search, allowing you to show ads on strategically placed sites around the web to capture a customer’s attention.
To build a successful display campaign, you want to reach as precise an audience as possible. In this article, we’ll cover how to get a display campaign off the ground and how to focus your targeting toward the right audience.




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.



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.
One of the most exciting and important aspects of digital marketing is the ability to understand exactly how your customers are finding you. It informs every single part of integrated campaigns and helps determine which efforts are working and which ones need to be revisited. Google Analytics allows you to zero in on the performances of different marketing channels to evaluate everything from brand awareness to social media messaging. To get the most insight from that data, it’s crucial to understand exactly how Google sorts your traffic.
Channels in Google Analytics are high-level categories indicating how people found your site. While the Source/Medium report shows you in more detail where people came from, Channels are broader, more “user-friendly” names lumping visits together in buckets useful for high-level reporting categories.
For instance, Facebook Sessions often show up in multiple ways in the Source/Medium report. They may appear as,, and, all of which are variations of the same source. The Channels report will include all of these in the Social bucket, so you can see less granular, aggregate numbers on social media performance.