Megalytic introduces AdWords Reporting

Published May 6, 2014

Today we added support for Google AdWords data in Megalytic reports. Campaigns, keywords, search terms, conversion rates & cost-per-click - its all there. Now you can build beautiful, branded reports that track Adwords results.

Google AdWords

AdWords Widgets - PPC Reporting made easy.

We've introduced four new point-and-click widgets, so you can easily drop AdWord charts or tables into your Megalytic reports.

  • AdWords Summary - display core AdWords stats like impressions, clicks, cost, CTR, etc. Organize by Campaign or Keyword.
  • AdWords Conversion - display how AdWords PPC is driving goal conversions. Report on which Campaigns and Keywords are bringing visitors who complete important goals.
  • Matched Search Queries - display the actual search queries that visitors used to match on ads. Report on key traffic metrics by search query - like Bounce Rate and Pages/Visit.
  • AdWord Position - display AdWords keywords and positions. Report statistics broken down by how keywords are ranking in Google paid search results.

The new AdWords widgets can be found in the Megalytic widget library under the heading "Website AdWords".

AdWords Widgets

Link AdWords to your Google Analytics account to get started.

If you've already linked AdWords with your Google Analytics, you're done - the Megalytic AdWords widgets are already working for you.

Otherwise, follow Google's simple instructions to link an AdWords account with the Google Analytics property that you want to use for Megalytic reporting.


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.