Symplur Signals vs. Generic Social Media Analytics Tools

Symplur Signals vs. the Generics

Symplur Signals is the only social media analytics tool on the market that is entirely designed for healthcare. Such a purpose-built tool gives its users a completely different experience, unique healthcare powers, and better outcomes compared to generic tools.

Symplur SignalsGeneric tools
Healthcare DataImmediate access to the Healthcare Social Graph® database with billions of healthcare tweets and up to 9 years of history.With the generic social media tools, you typically start from scratch building up your own tracking terms with no assistance or healthcare enrichments.
Topic ClassificationThe Healthcare Social Graph® comes with a ready-made healthcare classification – billions of tweets have already been categorized across 15,000 healthcare topics ready for you to select.The generics do not provide any healthcare intelligence. Do you want to track all non-small cell lung cancer conversations? Too bad! The generics have no built-in taxonomy to tell you where the conversations are taking place.
Healthcare Stakeholder SegmentationMillions of public influencers have already been categorized according to their healthcare stakeholder segmentation (Doctors, HCPs, Pharma, etc.).Need to analyze conversations from physicians regarding SGLT2s? With the generic tools you need to spend time manually segmenting these profiles before you can even start your analysis.
Influencers AnalysisOver 6 million healthcare influencers have been identified and given a Healthcare Social Graph Score (think Klout for healthcare), providing users with trustworthy KOL lists and unprecedented impact accuracy.The generic tools rank people with a very narrow dataset and with no understanding of healthcare using limited history and rudimentary algorithms like “mentions, tweets, impressions, followers, etc.” This results in untrustworthy and incomplete lists.
Content AnalysisTrending topicsmost important tweets, top articles shared are ranked using SymplurRank – an algorithm that takes into account people’s stakeholder segmentation, influence on the healthcare topic at hand and trust received from peers.The generic tools have no way to correctly remove spam and reliably ignore engagement from low-quality accounts. What you get is an unweighted ranked list that is susceptible to bot activity, fake engagement and cheating.
Noise vs. SignalThe clearest way to see the benefit of a healthcare-optimized product is how easy it is to remove the noise in Symplur Signals. With one button you can focus on just the stakeholder segments you need (Doctors, etc.) and immediately you see all signals and no noise.The generic tools have no built-in way to get to the real quality conversations in a noisy environment since the tools have no understanding of who the people are and what roles they have. You are left to fend for yourself.
Trusted by AcademiaOver 300 published journal articles have used or referenced Symplur Signals data. It’s been used by all the largest academic institutions around the world.No generic social media listening tool has the level of research usage as Symplur Signals for healthcare.
PubMed, DOI and AltmetricResearch items such as published journal articles are identified and Altmetric data are surfaced, providing users with deeper understanding of the science engagement. Generic tools do not pick up PubMed meta data nor DOI identifiers, thus treating this type of content on the same level as blogs, and forums posts.