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Customizing Megalytic: The Traffic by Segment Widget

Published April 1, 2016
Sometimes the big picture isn’t enough when it comes to data. Sometimes you want to dig deeper and get more granular by looking at a specific segment of your audience. The closer you can get to understanding the details of your site visitors, the better you can understand who they are and what they want.
When the default Google Analytics reports aren’t providing the detailed insights you need, you can apply segments to drill down into a subset of your data. In turn, you can also use these segments to customize your digital marketing reports in Megalytic.
The Traffic by Segment widget shows metrics broken out by individual Google Analytics segments. These can include both the default segments as well as custom segments you’ve created for that account. Before using this widget, you’ll want to make sure you understand how the default Google Analytics segments are set up and how the ones that you’ve created are synced with your Megalytic account.

 

 

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Using Megalytic's New Integration with Facebook Page Insights

Published March 21, 2016
With social networks becoming among the most popular places for Internet users to congregate, it’s no mystery why social media marketing has become a core offering of many marketing groups and digital agencies. But reporting on those services sometimes feels separate from the way you present analysis of your other channels. Not anymore.
Often, search engine optimization and online advertising campaigns are run in tandem with social media strategies. In turn, marketers need to report on the data they’re seeing from social media in the same ways they report on website traffic, SEO growth and ad performance. Considering this growing integration, we’ve taken action to help provide better reporting options by including social media metrics in the Megalytic platform.
Building on our successful integration of Google Analytics, Search Console and AdWords data, we’re pleased to announce that Megalytic now integrates with Facebook Page Insights!
Now, you can directly pull Facebook Page data into your reports. It’s easier than ever to report on data such as the demographics of people who like the Page, as well as summaries of how various posts perform. The setup is easy and accompanied by highly customizable options to show the information that best relates to your business or clients and their goals.
If you want to click the “Like” button on this new feature now, just wait until we get into the details.

 

 

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Tips for Maintaining Client Relationships via Analytics Reporting

Published March 16, 2016
Most digital marketers who work with clients have similar experiences. You spend hours each month building links and optimizing website content to build organic search volume. You build out a complex AdWords campaign targeting highly specific keywords. As a result, your client sees a significant increase in leads and revenue coming through their site.
Naturally, you expect your client to credit you with driving this great success for their site. But two months into the campaign, your client calls you up, asking what you’ve been doing and why they aren’t seeing any results.
You can run the best digital marketing campaign in the world, but without properly communicating your efforts and the impact to your client, you’ll struggle to maintain a long-term client relationship. Establishing a regular, detailed reporting strategy is the key to building rapport with a client from the start.

 

 

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Megalytic Now Integrated with Facebook Page Insights

Published March 14, 2016
We are really excited to announce direct integration with Facebook Pages. This integration the latest step in Megalytic’s advancement toward becoming a one-stop shop for creating digital marketing reports from all major data sources.
Like our integrations with Google Analytics and Adwords, the Facebook Page integration is easy to use, yet powerful. This short video shows how it works.

 

https://youtu.be/Yt94-4LN3DE

 

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Understanding the Referral Report in Google Analytics

Published March 11, 2016
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.

 

 

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Evaluating Google Analytics Traffic by Hour & Day
2 June, 2016 | Blog
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.

 

 

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Understanding Direct Traffic in Google Analytics
14 April, 2015 | 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.
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Understanding Google Analytics Channels
7 April, 2016 | Blog
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 facebook.com, m.facebook.com, and l.facebook.com, 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.

 

 

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