Would you invest in a product that promised to convert your social media accounts into revenue-generating, lead-maximizing pipelines? Well, if you’re tired of measuring the effectiveness of your social media in terms of engagement, predictive social analytics provides concrete, revenue-centric outcomes.
What is predictive social analytics? Predictive social analytics, as our engineers call it, is the merger of two patented Viralheat technologies: human intent and sentiment analysis. These are predicated upon natural language processing technology to analyze the content of Twitter, Facebook, Google+, et. al. and extract tweets and status updates that demonstrate purchase intent. In the end, this means that by scanning social media, predictive social analytics delivers, to your sales team, pre-qualified leads. These leads can be handled independently or uploaded en masse to a marketing or sales automation platform.
How? When a user tweets “#moving” or “#imengaged,” Viralheat identifies these posts as pre-qualified leads. As a national moving company, or wedding service, your sales team then reaches out and secures goods/services before the competition does. Rather than cold calling, businesses can take preemptive action on seemingly meaningless tweets and status updates to increase bottom line.
Would you explain human intent and sentiment analysis? Sure. Human intent technology is the analysis of pre-qualified leads using natural language processing. Sentiment analysis identifies posts, tweets, and updates based on negative, positive, or neutral sentiment. Together, these technologies reorient the social ROI conversation so to include how social media has impacted a business’s bottom line. Otherwise, we run the risk of limiting the conversation to likes and engagement, which don’t necessarily impact revenue.
Now that you’re fairly familiar with predictive social analytics and its capacity to identify more leads on social media, where can you get it? At the moment, Viralheat heat is the only social media management suite offering predictive social analytics. Viralheat decided to incorporate this capability after noticing that more and more social media users–from Twitter to Facebook–are becoming less active. Moving forward, this means businesses will need to target content more effectively and take preemptive action to secure greater, qualified leads.
There’s no question social media is slowly shifting. If you’d like to learn more about predictive social analytics, check out this podcast with Deutsche Telekom-Hosted Business Service. DT-HBS uses Viralheat to understand the sentiment around the T-Mobile brand.
