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Thoughts on Thoughtbuzz

Social media platforms like Facebook and Twitter have become integral elements for companies and brands seeking to develop better customer relationships; also, for the consumers, as they provide a great way  to communicate with the brands. Today, the consumers share not only their  issues and problems with the various business products and services but also share their experiences and expectations from both new and existing products. Itโ€™s a win-win situation for both the consumers and the businesses.

While all this sounds great however it comes with its own challenges. Thereโ€™s a big challenge of interpreting volumes of data available out of these social media interactions.

The answer to the challenge of making sense of the bulk of data available on social platforms is  called social media analytics. These platforms sieve through bulk of data gathering meaningful insights and help generate reports for the businesses and brands capturing various aspects like people sentiments, connect with the brand, determine personas, provide competition benchmark and target brand influencers, etc. These insights help the brands to make meaningful interpretation of the social data and take informed decisions.

ThoughtBuzz was established in 2008 to provide organisations with actionable insights, through big data and business analytics. Headquartered in Singapore, ThoughtBuzz has a network of offices in India, Manila, Jakarta and Kuala Lumpur, providing leading technology and methodology for businesses worldwide. It serves clients raging from small enterprises to government bodies, from risk management to marketing management. Today, I am checking out Thoughtbuzz as a part of an activity at BlogAdda.

After signing up at the site, it took me a while to figure out what to do on Thoughtbuzz. But once I got the hang of it, it looked cool. The interface is simple and easy to navigate and overall the look is neat and appealing. One can track the profile and data on the various social media platforms viz Instagram, YouTube, Facebook, Twitter, LinkedIn.

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I used my blogโ€™s Facebook page and Twitter account to check how it worked on Thoughtbuzz. Here are the graphs and charts from data of one week (11th March to 18th March, 2015) for my Blogโ€™s Facebook Page.

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Gosh, some people unsubscribed too. Wish I could get their names. LOL ๐Ÿ˜€2015-03-18_14h12_06

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Apart from this, one can also generate data for average interaction per post, interaction rate, interaction rate/hour, interaction rate by weekday, interaction distributions, interaction rate by post types, post by dates/hour/weekday and even user posts by date.

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For Twitter, I generated the following graphs and charts.

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Another interesting feature is that one can reply, comment and engage with the fans on the various social media platforms at a single place, all you have to do is switch between various  profiles.2015-03-18_17h02_27

I liked the feature where one can import contacts from any of the social media profiles to find the followers and fans who engage with you the most. For brands, this could give the data on loyal and happy (and unhappy too) customers, influencers etc.

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Thoughtbuzz allows scheduling of Tweets and Facebook updates all from the same page. I have scheduled one Tweet. Cant wait to see it going live.

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And it went live moments ago. Aha!!

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My overall experience with Thoughtbuzz has been a good one. I found it to be a simple, easy and user-friendly. It can be used by experts and beginners alike. It is a wonderful web-based platform that provides real-time social analytics for organisations, brands and products. It can helps the brands discover, measure and engage with customers across the net. Available as both basic free and premium plan, Thoughtbuzz can add a lot of value to a companyโ€™s media and promotional campaigns and strategies.

12 Responses

    1. Amen to that,Rajesh, I mean your blog becoming a bog brand, but you can start analyzing the data and target/focus where needed. No?

  1. I have signed up at ThoughtBuzz. Still deep in the learning curve. I guess there hasn’t been time to gather data for analysis as yet. No worries. It does look well organized. Thanks for the heads up, Shilpa!

    1. That’s cool, LuAnn! Have a great time learning and gaining new insights about your target audience on various social media platforms ๐Ÿ™‚

    1. I am no expert on this but I think the companies would have only the data that we share on social media, which would be in the form of blog posts, comments, and tweets. And from this they would be analyzing customer satisfaction, identifying patterns and trends etc. I dont know if it is a worrisome issue for us as social media users!

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