Social Media Keyword Trends

In our latest newsletter we went over using Google Trends, Google Insights and Microsoft’s Keyword Forecast to spot keyword trends for seasonal product offerings.  There are also some great tools to measure keyword use in blogs and twitter to give insight into social media discussion trends.  This data can be just as valuable since it is straight from the consumers mouth coupled with what is being said, not just the keyword in a silo.

Trendpedia – Blog Trends

If a topic is popular in the blogosphere then there is a good chance you can leverage the current popularity for your product offerings. Trendpedia allows you to see blog popularity for the past 3 months along with all the blog posts.  If you see a trend has passed make a note somewhere to remind you for next year.  You can also utilize the blog trends to determine if there is a need for a specific product offering.

Social Media Trend Tools

There are a few tools that are useful for tracking keyword popularity in the social media arena but the major drawback is they only go back one to three months.  This will likely change as social media gets bigger and companies build products around the data.

Twist is a twitter trending tool that lets you see the popularity of a term for the last week or month on twitter.  You also get a link to see everything posted to twitter with the keyword.  This is also a good tool to track your brand across twitter, find raving fans and get insight on anything negative being swirled around.

Technorati made tags famous and is a top source for blog activity.  Now when you do a search on Technorati you can scroll down to find a trend graph covering the past 30 days on the right side.  This is similar to Trendopedia and Icerocket but is specific to blogs registered with Technorati.

Ice rocket also tracks the blogosphere going back for the past 90 days and is not limited to just Technorati registered blogs.  The other nice thing about Icerocket trends is they give 3 performance metrics: posts per day, average %, total posts.  This is definitely beneficial when trying to evaluate what has the highest popularity in comparison to other topics.