ThinkUp is a free, open source web application that captures your posts, tweets, replies, retweets, friends, followers and links on social networks like Twitter, Facebook, and Instagram. With ThinkUp, you can store your social activity in a database that YOU control, making it easy to search, sort, analyze, publish and display activity from your network. All you need is a web server that can run a PHP application. [Free 14 day trial]
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In the enterprise, more advanced SMMS tools allow an organization to help build social media influence by monitoring online conversations for brand awareness and sentiment. At this level, a social media manager can not only see what content potential customers are clicking on, commenting on, liking, retweeting, replying to, etc., but he can also integrate that data with existing business intelligence (BI) and marketing programs and ensure the organization is meeting vertical-specific compliance regulations. Most enterprise SMMS tools also provide templates to provide enterprise employees with a standardized way to create social content and a way to track the effectiveness of specific social media lead generation campaigns.
Hootsuite provides a more complete solution that allows you to schedule updates and monitor conversations, whereas Buffer isn’t a dashboard that shows you other people’s content. However, Bufferapp has superior scheduling flexibility over Hootsuite because you can designate very specific scheduling times and change patterns throughout the week. Hootsuite recently introduced an autoschedule feature that automatically designates a scheduling time based on a projected best time to post. This can be effective to use, but doesn’t have the same flexibility as Buffer since you don’t really know when a post will be scheduled till after doing so.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.