After two years in the making, the online marketing firm Hit Search has launched its innovative new reputation management software service ‘Little Birdy’.

Borne out of a partnership with Liverpool University, leading academics came together to produce a system for online brand management which was focused on using state of the art data mining techniques.

The brand tracking program that gives users a complete overview of how their brand or product is being received online is available via subscription and has launched with a 30 day free trial.

Designed to give subscribers the power to track what’s being said about their brand and who’s saying it, the user friendly software indexes thousands of pages across the internet looking for certain keywords and organises results allowing for ‘reactive’ reputation management.

Andrew Redfern, Director at Hit Search explains:

“As social media platforms, bloggers, review sites and User Generated Content (UGC) have now become respected information sources on brands, products and services, reputation management has, in turn, become a full time job for businesses wanting to get the low-down on how their product is doing.”

“Little Birdy collects unlimited mentions of your brand and arranges them using sentiment analysis, presenting a comprehensive list to the user.”

Little Birdy will heavily reduce the man hours previously needed to search the internet for mentions as the program continues to look whilst the user is logged out.

Hit Search have stressed the importance of brands being active on social media, responding to criticism swiftly and engaging with their audience via their blog, advising that brands and businesses have a better chance at retaining customers and increasing loyalty by being reactive as well as proactive in their marketing campaigns.

Officially launching today, Hit Search will be presenting Little Birdy at the CIM Northern Conference in Liverpool on the 19th and 20th June and will be available to demonstrate the time and money saving benefits of the program in person.

Little Birdy can:

• Check for real time mentions across hundreds of thousands of Google and Bing indexed pages as well as all major social media channels
• Show brand activity by volume, sentiment and influencers
• Allow administrators to edit sentiment of posts to enable the system to learn about individual brands. For example ‘defamation’ would be automatically tagged as having negative sentiment, but for a law firm, winning a defamation case is in fact very positive. By changing the status of a post from negative to positive, the system will know that future posts containing the phrase defamation are actually positive.
• Drill down into activity for direct responses to those that have posted online about a brand
• Give search insights into brand user journeys with suggested tag clouds, enabling the administrator to optimise the natural search terms associated with a given brand
• Flag posts for responding – batched responses are more manageable that continual real time responses, but the nature of the post will of course dictate urgency of response
• Get support from Hit Search on managing social channels both in terms of content management and direct responses and managing the technical aspects of social media campaign activity

The sentiment analysis technique uses state of the art unsupervised machine learning algorithms. Each mention of a brand is analysed using Natural Language Processing (NLP) techniques; they include named entity recognition, inverse document frequency and n-grams. These techniques extract the most important and representative terms around a brand. These identified terms are then input back into Little Birdy sentiment analysis algorithm to learn about specific brands and improve the accuracy.

www.littlebirdy.buzz