Social media monitoring and management platform now available at discounted rate via Technology Trust’s tt-exchange programme

London, 5th December 2013 – Technology Trust today announced that uberVU is now accessible via its tt-exchange platform (formerly CTXchange). The online marketing tool allows multiple social media channels to be monitored, managed and reported on in real-time from one central location. A one year subscription to the software is available to eligible charities, not-for-profits and public libraries throughout the UK for the discounted rate of £149 +VAT.

The software helps users to build deeper relationships with their followers and social media audiences. uberVU’s real-time dashboard makes it easy to find out what topics are trending and which are the most influential worldwide. All social metrics, such as likes and retweets, as well as words used in conversations, can be measured and analysed to help charities build their marketing strategies. 

uberVU can support charities and not-for-profits by increasing their social media reach and enabling them to interact with their members and communities more regularly to strengthen their brands. This extended reach will also help them to engage with more influential followers and donors for fundraising efforts.

“Social media is vital for any organisation and it can be a very useful tool for communicating with audiences and communities, but managing it can be very time consuming,” said Richard Craig, CEO of Technology Trust. “Both Technology Trust and uberVU are committed to helping charities make the most of their social media engagements, without draining their already stretched resources. By offering uberVU’s software through tt-exchange, more organisations will have access to technology to help them do this.”

Eligible charities, not-for-profits and libraries may request one year-long subscription to uberVU per organisation per fiscal year. This subscription is for one user with up to five data streams (individual social media accounts) and 10,000 mentions (keywords, phrases, or hashtags to be monitored) per day per data stream.