The Social Media Analytics Platform for Healthcare
Symplur Signals empowers our customers with deep and exclusive healthcare insights as the only platform that can analyze data from the Healthcare Social Graph®.
It's an incredibly easy-to-use product that delivers stunning visualizations and deep healthcare insights to a growing number of diverse healthcare teams including:
- Medical Affairs
- Corporate Communications
- Academic Research
- Medical Societies
- Government & Public Health
Surfacing the healthcare context from every social media conversation
Every algorithm and visualization is designed and optimized for our world of healthcare. Customers with deeper needs can have the medical context enriched further with custom healthcare stakeholder segments (eg. interventional cardiologists, hematologists, prescribers, organizational employees, etc.), internal IDs for HCPs (from your internal ERP or CRM) and National Provider Identification (NPI) numbers.
Twitter Journal Clubs
Is our nephrology journal making an impact in the #nephJC Twitter Journal Club? How is it received?
Dozens of Twitter Journal Clubs are tracked in the Healthcare Social Graph database. Follow these high engagement tweet chats and see which journals and articles are generating large conversation volume from HCPs. Observe the interactions between the journals and their readers.
Key Opinion Leader Mapping
Who are the most influential cardiologists discussing SGLT2s?
Accurate and granular Healthcare Stakeholder Segmentation is key, and the SymplurRank Algorithm delivers the most dependable KOL lists in healthcare. We’ve pre-categorized millions of Twitter accounts based on their public stakeholder identity, and our tools empower you to customize influencer segmentation to meet your needs in a rapidly changing environment.
Healthcare Social Graph Analysis
Get to know the KOLs
Has a profile's healthcare social media influence improved in the past year? Where did they have the biggest impact? How does their Healthcare Social Graph Score compare to the others?
Symplur Signals measures millions of accounts on their weekly influence in healthcare social media. Each account receives a Healthcare Social Graph® Score and a comprehensive breakdown of their areas of impact.
Follower Audience Analysis
We’re getting new Twitter followers, but are they HCPs?
Not all followers are equal. We’ve worked with healthcare Corporate Communication teams to co-design a better way to analyze an account's Follower Audience. See the overall healthcare stakeholder breakdown and visualize the weekly or monthly gains for each healthcare segment.
Content Analysis Through NLP
What are oncologists saying about the latest clinical trial results, scientific statements, and conference presentations?
For deep content analysis, access interactive snapshots of the Trending Medical Terms from any Twitter conversation via Symplur’s natural language processing (NLP) algorithms. And, to better understand attitudes, optimize our Sentiment Algorithm by custom-training it to match your medical affairs team’s specific needs.
Conversations that must not be missed
How are HCPs and medical journalists interpreting clinical trial results from our competitors?
Not all tweets are equal. Our platform evaluates the importance of every conversation based on who shared it and who engaged with it, as well as their stakeholder status and influence in the healthcare industry. The Engagement Analysis highlights the most impactful tweets and discussion threads for any clinical trial.
Content that stirs the world of healthcare
Which journal articles got the highest engagement? How do our journals stack up against the competition?
With Symplur Signals you can segment article-sharing by healthcare stakeholders. See which journal articles were shared the most by Doctors, Patient Advocates, Pharma execs, Journalists, and more. You can also filter by disease, therapeutics, or clinical trials. Find the full breakdown of who actually shared a specific article and absorb the Altmetric data we pull in through the DOI numbers.
LinkedIn, YouTube, Instagram, Reddit and Facebook are other sources for the Trending Articles analysis.
Conference Analysis & Share of Voice
How did our Twitter account perform before, during, and after the annual conference? How does it compare to last year’s performance? What can we learn and apply to our strategy for next year’s event?
Symplur Signals has tracked over 12,000 medical meetings globally to date. Medical Societies use this data to analyze trends in topics, stakeholder mix, research focus, vocabulary, and sentiment changes over time for both their own and competing medical meetings. A click of a button delivers insights tailored to healthcare: see which account received the most engagement from Doctors and which account sparked interaction from Patient Advocates during the meeting. Our built-in Healthcare Stakeholder Segmentation helps you understand your true performance.
All engagements around one story
Our tweets received a significant level of engagement at the latest medical conference, but was it from random accounts or relevant healthcare stakeholders?
The days of blindly reporting raw engagement numbers are over. Only with Symplur Signals are Corporate Communications teams able to look beyond retweets, mentions, and quote tweets to measure the actual outcomes of campaigns and content. The Tweet History feature allows you to unpack the real healthcare story behind elementary engagement numbers. Which stakeholders engaged with our tweet, who are the instigators of a tweet's "second life?"
A quick look at the overall metrics
What's the overall size of this medical conversation? How many physicians are involved and whats the potential reach compared to prior period?
Depending on the questions aksed some simple summary metrics may be of value in understanding what is taking place. All conversations can be filtered by healthcare stakeholders, by location or by a sub-topic among many other options. Contrast and compare the numbers to get a reading on the markets and the communities.
What Our Customers Say
"Symplur Signals has become an essential tool for the government when it comes to developing strategy or reporting out on important events, observances, and initiatives related to public health. The tool has helped us become more strategic when communicating scientific research to various audience groups. It has also tremendously helped us with reporting internally as well as using the data to look back on and inform strategy for future events such as for annual conferences."
"In government practice we can be limited in what we say and who we reach out to. Symplur’s audience segmentation by government organizations has helped us track other government entities to observe the content they are sharing, the language that they use, and other accounts they engage with. Additionally, it has helped us identify and reach out to organizations and individuals who are appropriate in this landscape."
— Senior communications specialist at a government institute
“As a Medical Science Liaison I use the information within Symplur to:
- Evaluate how the science surrounding our products and competing products is received and shared among our external experts and the medical community in the Twitterverse. Was the information that we shared with respect to our data received clearly, did it resonate with our audience, and did it have an impact on practice?
- Help to guide strategy as to what our next steps should be in communications surrounding our science. Are we headed in the right direction or do we need to alter our course or change our approach?
- Monitor communications for new trends in science that can be applied to what we do. What should our next steps be?”
– Medical Science Liaison at a global pharmaceutical company
“Having Symplur Signals is like being able to pop the trunk of Twitter and look under the hood. We can find influencers, conversations, keywords and more on any topic down to the micro-targeted level. We consider Symplur insights invaluable, providing data that helps inform everything from daily trend reports to sales pitches.”
- Corporate Communications professional at a global healthcare company
"Symplur Signals is an incredibly robust tool that allows us to capture social media metrics for our organization, discipline, and conferences. We organize and host 5+ global conferences annually that draw a combined attendance of tens of thousands of delegates."
"In this day and age a social media presence is imperative. It helps us to extend the reach of our messaging via a strong industry network, and to identify issues, trends, and subject matter that are resonating within our membership. Symplur Signals gives us everything we need to gauge the social media impact of our work and our field."
— Chief Marketing & Communications Officer at a medical society
"Symplur Signals provides the most robust analytic tool out there, and it gives me the flexibility to look at things in a very user-friendly way. Many clinicians, like myself, are eager to dig into this social media data, but don’t have the programming or data analytic background to explore it. Symplur Signals provides an easy-to-use interface that gives rich and thorough data."
"Lately I've been studying how different groups (patients, caregivers, clinicians, organizations) are using Twitter to communicate, educate, and advocate in the area of asthma. Symplur Signals lets me identify and characterize the digital footprints of these conversations with great detail and provides insight into the conversations using the associated words and hashtags, the most commonly retweeted tweets, and the most commonly shared articles. This tool has been invaluable to me and my research into social media and medicine!"
- Chris Carroll, MD, Pediatric Critical Care Physician at Connecticut Children’s Medical Center
Customizations and Integrations
Customers with deeper needs can have the medical context enriched further with custom healthcare stakeholder segments (eg. interventional cardiologists, hematologists, prescribers, organizational employees, etc.), internal IDs for HCPs (from your internal ERP or CRM) and National Provider Identification (NPI) numbers.
Healthcare Stakeholder Segments
Symplur is able to further segment stakeholders down to specific medical specialties. On behalf of the customer we can identify all influential interventional cardiologists, hematologists, etc.
Customers also create segments for prescribers, partners, employees or any other arbitrary group.
Unique HCP IDs
Sophisticated customers operate with unique internal IDs for HCPs they interact with. Symplur data from the Healthcare Social Graph can be associated with that internal ID and surfaced everywhere in Symplur Signals and the Symplur API. Customers with appropriate access levels can also surface Symplur data in their internal knowledge bases or CRM systems like Salesforce and Veeva.
Sentiment Algorithm Training
In order to even better understand attitudes and sentiments around a certain disease, medical specialty or treatment, Medical Affairs teams take advantage of Symplur’s natural language processing (NLP) algorithms and optimize it by custom-training it to match their team’s specific needs.
Deeper insights from the conversations can be acquired when filtering a conversation for a certain clinical trial, or for HCPs only, or a specific location. We have filters for all needs.
- Healthcare Stakeholders
- Words and Phrases
- URLs and Domains
- Research Items with PubMed IDs and DOIs
- Tweet IDs
Reporting and Dashboard Organization
Reporting and Tagging
Users of Symplur Signal are able to flag any article, tweet or visual with customized flags for sharing important content within the team, or for further reporting upstream. Typical flags are set up for Adverse Events reporting, clinical trial feedback, or for competitive intelligence.
Members of a team set up and share individual dashboards and their configurations. All dashboards are then organized in groups typically focused around certain medical specialties, organizations, medical meetings, or KOLs.
All custom settings that users make are shared within the team. These customizations include all work around stakeholder segmentations, custom segments, tagging of content and sentiment algorithm training.