Tool Time: Local Twitter Trends

For those of us working in the social media stratum of online marketing, Twitter has always proven to be such a beefy tool despite its rather limiting 140-character messaging platform. What some people outside our sphere (or those who still feel dubious regarding the use of social media) have yet to realize is that all you need is the right tools and the forward-facing insights to fully utilize it to gauge the success of our campaigns.

Previously we’ve showed you a few handy Web apps for clearing out the noise , organizing conversations , unifying engagements and for measuring and analyzing the significant numbers. Today, we take a look at yet another useful tool for expanding Twitter’s capabilities by using geography with Local Twitter Trends by Mapmash .

Mapmash is Rakshith Krishnappa’s app development outfit which, as far as we can tell, specializes in services and software that utilizes the Google Maps API very well and mashes it up with various elements of usability. Local Twitter Trends simply shows what people on specific areas are talking about. The Web app will display a map with yellow-green markers that, when clicked, shows the trending topics being within that locality.

If your brand is planning to optimize its presence on a certain locality or launch an offsite campaign stunt like flashmobs or area-specific promotions, Local Twitter Trends can easily help you. It’ll reveal what’s rousing the people’s attention and can just as easily be used to gauge the success of a strategy is it merits conversations online.

Local Twitter Trends, isn’t exactly new, but it still pretty much holds its own when it comes to giving geographical context to tweets by giving us a visual for quick map scans and analyses. This, even with the inception and initial (and rather bland) implementation of Twitter Places last month. It’s well up there with the likes of Trendsmap as far as functionality is concerned though Mapmash’s app features a far simpler interfaces idiot-proof enough for new users can find their way around it and light enough for relatively slower machines and Web connections.



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