Visitor Insights

Ever wonder what all the buzz is about social media? The folks at Common Craft have done the best job I’ve seen explaining social media. Enjoy.

Media for the people, by the people.

Ever tried measuring the return on investment of your press releases? Although seemingly simple, the process turns out to be more complex than one might think.

Recently we published a press release announcing the WebToCRM product. For those of you interested, it can be found here.

The purpose of the press release was to introduce WebToCRM, but also to generate traffic and leads to the tealium.com Web site. So how did the press release do? It turned out to be quite successful as shown in the chart below. It ended up generating a tremendous boost in traffic.

The site traffic on May 20 increased exponentially on the day of the PR launch. Given the fact that Tealium is a startup and the site does not get much traffic today, clearly the increase can be attributed to the press release.

But drilling down into the data reveals a hidden value of PR that cannot be detected by web analytics solutions. To analyze this more, we’ve broken down the traffic by source. The categories analyzed are “Bookmarks or Directly Referred” (typically direct traffic to the site or emails), “Search Engines”, “PR Sources” (compilation of referring URLs associated with the news stories), and others (not fitting any of these mentioned categories). The results are shown in the figure below.

We’re analyzing two seven-day periods, one before the release and the other after the release. The results are definitely revealing. Obviously, the PR traffic increased since there was no PR the previous week. But more interesting is the fact that both the bookmark and search engine traffic increased dramatically as well. In other words, there’s a hidden value to PR that previously hasn’t been mentioned in the Web analytics world. Because of the press release, more people came to the site directly and more people searched for “Tealium” on search engines.

If you’re a marketing veteran, the results make sense. Press releases are a great medium for generating awareness. Also, by creating a marketing mix that includes multiple touch points (PR, search, banners, trade shows, etc.), you’ll get an overall result that exceeds each one of the touch points combined. In other words, 1+1+1=4.

However, it also reveals the challenges associated with PR measurement. It shows both the effectiveness of online PR, as well as the difficulty of measuring it. In our case, this was not a difficult task, because of the reasonably low traffic that we were getting before the press release. But if you’re a high traffic site, measuring the effectiveness of PR becomes much more challenging and certainly an area that has not been addressed by Web analytics solutions.

The field of PR measurement today consists of understanding your Outputs, Outtakes and Outcomes. Outputs and Outtakes are fairly simply to measure, but Outcomes (the business results of the PR - site visits and conversions in the online world) are much harder to measure, and ironically more valuable. We’d love to hear back from you about your experiences in this field and what you’ve done in your organizations to solve this problem.

An unscientific approach!!!

One of my favorite tools to see trends, patterns and seasonality associated with search terms is Google Trends. It lets you see trends associated with specific keywords and compare up to 5 keywords together.

With all the buzz around the democratic primaries, it was only fitting to use Google Trends to see if we could see patterns that could shed some light into the outcome. The results, although not scientific are pretty revealing. First off, here’s a comparison of searches for the terms “barack obama” and “hillary clinton” over the last 12 months. We’ve obviously filtered out the international traffic and the results are shown in the figure below.

The interesting trend here is that Obama was behind Clinton in terms of searches till January of 2008. January 3rd happened to be the date of the Iowa caucuses which showed a surprising win by Obama and one can speculate put him on the map as far as the general audience is concerned. To test the hypothesis, lets look at a similar comparison, but this time between “huckabee” and “mccain” and interestingly, we see a similar pattern.

Within the GOP front, we see a spike in interest for Huckabee prior to the Iowa caucuses and a decrease after McCain gains momentum from consequent wins.

How accurate is this?

So you’re wondering, how accurate is this? While Google Trends is a great tool for search engine marketing, it is simply not built to forecast elections and markets. For example, if you look at the breakdown by states, you can see that the term “barack obama” gets higher traffic than “hillary clinton” in all states, including Pennsylvania, Kentucky and Ohio - where Hillary Clinton won by a large margin. This is shown in the image below.

In fact, in terms of popular vote, both candidates were neck and neck. And you can make the argument that most people did not know much about Obama before the primaries began and therefore what we’re seeing is people educating themselves about the candidates. But it’s certainly fun to see the trends in terms of peaks and valleys around some specific events such as the start of primaries and caucuses.

The purpose of this post is not to endorse any one candidate or make market predictions, but rather showcase what you can get from Google Trends. The information can be very useful in determining peaks and valleys in user interest associated with specific events of relevance to your business.