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DecisionEngine tracks and predicts purchase intent of every healthcare brand. To do that, we analyze the transient needs and decisions of millions of people talking about their health online. Our repository of patient insights is the world's largest.
We are more than the sum of things we click. We recommend. We complain. We hesitate. We decide and take action. With over 80% of consumer decisions starting online (McKinsey, 2012), these decisions can make or break your brand.
95% of the world's social data is
unstructured - not analyzed by anyone, in any depth. Brand strategists
can't access this data. Neither can media planners. Your current social
analytics solution tracks words, sentiment, and themes, not
decisions, motivations, and intent. Your ad platform tracks visits, not meaning. Traditional advertising metrics - views, clicks, signups, sentiment - can't answer even your basic questions:
- Did my campaign impact consideration of my product?
- Why do people choose my competitors?
Next time you are told "sentiment about your brand is up", ask "what does that mean?". Avoid costly mistakes resulting from analyzing topics and sentiment. Base your decisions on accurate, representative, and trackable consumer decisions.
Social chatter is filled with incredible promise - if you have the right map to its treasures. Finding answers requires a good net - wide enough to capture all the relevant data, and selective enough to filter out all the trash.
Wielding the top scientists in text analytics (MIT PhDs), we have been building such a net - the DecisionEngine. We are teaching computers how language works, how to think like we think, how to take apart meaning of conversations, how to eliminate the Internet noise: the retweets, the fake sites, the aggregators, the paid bloggers.
DecisionEngine automatically zeros in on the right data, with the critical precision you need to understand your customers and fend off the competition.
Getting insights out of social media is incredibly hard. Your analysts are not at fault - the tools are. Counting words, analyzing sentiment, and clustering topics are exceptionally poor means to structure data.
Analysts are forced to dig through piles of irrelevant data and create insight from a tiny, unrepresentative fraction of social chatter they had time to find, read, and structure.
DecisionEngine eliminates the need to sift through social data. It answers your most pressing questions: why consumers act, what they plan to do, and how to reach them in their moment of decision.
Accurately predicting consumer decisions has a direct impact on your media spend. Why pay for impressions and clicks when you can connect with most likely consumers, at their moment of decision? Automatically support consumers that endorse your product; offer an alternative to consumers dissatisfied with your competition. DecisionEngine is tailored to position your brand in front of most likely converts, in a manner that is both regulation-safe and easily measurable.
Social opportunities (and risks) emerge in the space of days, sometimes hours or minutes. Can your company wait?
Stop sifting social data by hand. Automatically assess campaign impact. Predict and Intervene.
Real world. Real time. Real accurate.
Founded by two MIT PhDs, our team includes world authorities in natural language processing. Our work has been cited in over 4,500 academic publications. Our innovations have received five consecutive National Science Foundation awards.
Our clients include top pharmaceutical and healthcare companies, as well as hedge funds, ad agencies, and publishers. Luminaries including Nicholas Negroponte (founder of the MIT Media Lab), David Lee, MD PhD (Founding Executive of Endo Pharmaceuticals), and Declan Doogan MD (Former Head of Worldwide Development at Pfizer) serve as company advisors.
In the next 2 years, we aim to become the normative choice for every healthcare brand manager, analyst, media planner, and publisher that seeks to make business decisions reflecting patient wisdom.
Does your industry lack high quality consumer-driven brand analytics and intervention?
We want to hear from you.
Sophia Van Valkenburg