Digital Identities and real time insights from physicians

About half of the physicians in the top 10 therapeutic areas are active digitally. Many of these HCPs have been sharing their insightful opinions/experiences digitally on drugs, studies, and treatments during the pandemic across various therapeutic areas. In the Top 10 therapeutic areas, we identified ~70k physicians with digital identities.

They are digitally active across a variety of sources, such as

Publications: PubMed, Google Scholar, Semantic Scholar
Clinicaltrials.org
Social Media such as Twitter
Media articles

In addition, physicians’ research activities can be tracked from CMS Open Payments

Harvesting physician opinions, and mining them with AI technology can help identify key digital opinion leaders, uncover HCP perceptions and answer Key Business and Research Questions in real-time. Listed below are a few example questions.

Which HCPs are active on public platforms? Who are the national, regional, and local Digital Opinion Leaders (DOLs) based on signals from social media, network graphs, publications, and CMS open payments?
What are our target HCPs posting online?
What are DOL perceptions on new clinical trials, studies, drugs, etc.?
What is the quantitative and qualitative impact of all the events on HCP perceptions on our and competitors’ drugs?
What are the key messaging changes of competitor websites?

To get a proof of concept on how this solution can uncover rich, actionable insights for your drug/therapeutic area, please reach out to [email protected].

Reputation Management using WebExtract

Consumers are increasingly leaving reviews online & new consumers are reading the reviews to make purchase decisions. Hence, it becomes essential for brands to manage their online reputation. Brands can do this by understanding the key issues driving the low ratings, addressing the key issues through improved communications/products/services, and responding to the low-rated reviews.

Let us take the example of Apple AirPods Pro (2nd Gen) to see how Reputation Management can help.

The product has had 523 reviews since its launch in September 2022. As shown in the link here – the user can filter reviews with negative ratings or sentiments & understand topics driving the negative sentiment.

Key issues like return policy can be solved by providing better communication, while issues like noise cancellation can be solved through product innovation

Customer service agents can review low-rated reviews grouped by topic, reach out to customers, and address their concerns. For example, in the following graphic, the agent can filter for comments related to return policy, understand customer concerns, and respond to them.

Brands that manage their reputation on an ongoing basis would see their topline growing. WebExtract can help identify product drainers that lead to lower ratings and group reviews by each drainer. See this 30-sec video on how to do this.

For more information on WebExtract, visit WebExtract at SetuServ.

Competitive Benchmarking using WebExtract

Consumers are increasingly turning to online reviews to make their purchase decisions. Brands can also use this rich data to glean insights into their and competitors’ products. Such competitive benchmarking allows brands to understand the strengths and weaknesses of their products. Brands can use strengths in marketing/communications, and weaknesses in prioritizing ideas for product innovation.

Let us take the example of Apple AirPods Pro (2nd Gen) and Beats Fit Pro. While the lifetime ratings of Apple AirPods Pro (2nd Gen) and the Beats Fit Pro are high (4.5+ out of 5 stars), comparing ratings with a text review paints a different picture.

Apple AirPods Pro (2nd Gen)’s rating of 4.3 (in 315 reviews) is significantly higher than Beats Fit Pro’s rating of 3.7 (in 536 reviews). In addition, the volume trend graph shows that the number of reviews of Apple AirPods Pro (2nd Gen) is going up while that of Beats Fit Pro is going down, indicating a higher share of voice for Apple AirPods Pro (2nd Gen).

As shown in the graph above, the qualitative analysis of the reviews of both Apple AirPods Pro 2 Gen and Beats Fit Pro shows that Apple AirPods are significantly better than Beats Fit in Design, Sound Cancellation, Functionality, Fit, and others. In contrast, Beats Fit is marginally better in Noise Cancellation.

As illustrated above, Users can quickly produce insights on competitive benchmarking using WebExtract. WebExtract is a no-code Google sheet add-on that extracts and analyzes the reviews to uncover a variety of insights for brands.

Detect Product Claims that Resonate with Consumers

Companies launch upgraded versions of existing products to address issues consumers face and provide new features. For example, Apple launched the 2nd generation AirPods Pro in Sep 2022, with claims that it provides a more immersive audio experience, better noise cancellation, more spatial audio, and easier touch control. It also claims that it fixed the battery life issue that the 1st generation had.

To validate these claims, we analyzed the reviews of Apple AirPods Pro (1st Generation) and Apple AirPods Pro (2nd Generation) using WebExtract. WebExtract’s no-code analyzer can help Brand Managers/Analysts perform comparisons quickly without involving the technical teams or outside vendors to clean and mine data.

As expected, reviews of Apple AirPods Pro (2nd Generation) have increased while the reviews of the 1st Generation product have decreased. As volume of reviews strongly correlate with sales, this implies that 2nd-Gen AirPods sales have increased while 1st-Gen AirPods Pro sales have decreased.

AirPods Pro (2nd-Gen) had a higher average rating of 4.4 (with 226 reviews) than AirPods Pro (1st-Gen), which had a rating of only 3.9. Also, the 2nd-Gen had only 17% of the reviews rated as 1 to 3, while the 1st-Gen had 31% of the reviews rated as 1 to 3.

Analysis of text content in the reviews showed that a few issues, such as the Fit and Battery Life associated with the 1st Generation AirPods were resolved in 2nd Generation AirPods.

While 25% of the consumers had issues with the fit for 1st Generation AirPods, only 7% had issues with the fit for 2nd Generation AirPods.
Similarly, while 23% of the consumers had issues with the battery life for 1st Generation AirPods, only 11% had issues with the Battery life for 2nd Generation AirPods.

A similar analysis for liked topics showed that consumers love the new features of AirPods Pro (2nd Gen), such as better noise cancellation, more spatial audio, and easier touch control.

As shown in this blog, marketers can use reviews to understand which product claims resonate with consumers and which do not. Reviews provide a rich source of marketing content that resonates with the consumer.

For more information on WebExtract, visit WebExtract at SetuServ

eCommerce Data at Fingertips

eCommerce sites contain rich data, such as best sellers in each sub-category, product descriptions with key claims for each brand, and consumer opinions. Harvesting this data can yield rich insights into successful brands and the reasons for their success.

Though this data is publicly available, it’s unstructured and dispersed across various eCommerce sites. Moreover, as the products’ rank, price and reviews are updated frequently, harvesting and analyzing this data for actionable insights becomes challenging.

WebExtract

WebExtract is a scalable, no-code web scraper designed to extract data from eCommerce sites across the globe and seamlessly integrate data feeds into google sheets. The NLP engine of the WebExtract can analyze this data to uncover actionable insights.

To illustrate the power of WebExtract, we analyzed the 100 best sellers in the “Earbud & In-Ear Headphones” category on Amazon.com. The following are the insights from our analysis:

Top 10 brands make up ~55% of the best sellers.
The top 10 brands include a few not-so-well-known brands, such as Tozo, JLab, Otium, and CXK.

Though Apple has only seven products in the category, it has the most reviews(~30%), indicating that Apple’s products capture the lion’s market share.
In addition, though Apple products are rated marginally higher than the competitors (4.63 for Apple vs. 4.40 for Competitors), Apple’s pricing is far higher than the competitors on average ($114 for Apple vs. $40 for competitors).

Interestingly, among the 100 best-selling products, 33% are out of stock at the time of writing this blog. These “out of stock” products are spread across the brands.

Most of the 100 best-selling products have been launched over the past two years, indicating the rapid evolution of this category.

As illustrated in the above blog, eCommerce sites contain rich intelligence on the market landscape and successful brands.

Top 3 No-Code Web Scraping Tools

Publicly available data volume is growing exponentially, with more data being available daily. It now becomes more critical than ever for all business users to collect this publicly available data to understand what consumers say about their brands/products. The challenge is that business users have very few options to get the data they need by themselves without depending on developers. As part of this blog, we are comparing the Top 3 No-Code Web Scraping Tools which can help business users collect data by themselves. WebExtract tops the list due to its self-serve capability and availability of sources.

WebExtract

WebExtract is a scalable no-code web scraper designed to extract data from eCommerce sites across the globe and seamlessly integrate data feeds into google sheets. WebExtract is uniquely designed for the non-technical user looking for a self-service add-on for web data access.

Pros:

Easy to use. Without any coding experience, WebExtract lets you quickly set up a new input file and get the data from it.
Different types of scrapers(Category Products Scraper, Product Details Scraper, Consumer Posts Scraper) across a wide range of sources/countries (110+sources across 30+ countries)
Uses multiple proxies & re- scrape for close to 100% coverage of the data
Custom Sources requested by the users are built with a fast turnaround time

Cons:

The tool has review sources only. Social sources are yet to be added as part of the tool.
Works only through Google Sheets
API access is only available on request

Pricing: Provides an option for 100 free pages every month with paid plans starting at $29 per month for 1000 pages/month

ProWebScraper

ProWebScraper is a point-and-click functionality to extract data.

Pros:

For simple sources, create new scrapers by using the selector option to select the required elements
Provides an option for building custom sources

Cons:

For complex sources, users need coding knowledge to set up their own scrapers. Only nine ready-to-run scrapers are available
Users only have 100 credits one time free of cost

Pricing: For a site like an amazon, it costs three credits a page & costs 50$ for one-time 5000 credits providing the user with ~1,500 pages

ImportFromWeb

ImportFromWeb imports data from any website into your spreadsheet using a function within google sheets. It’s like ImportXML with more functionality compared to it.

Pros:

ImportFromWeb is a good alternative to ImportXML, ImportHTML, ImportFeed, and ImportData

Cons:

Works only through Google Sheets
Users would need an understanding of coding to be able to extract across websites
Only one-time option to use 1000 requests free of cost for the first month
Scraping of review pages is not possible

Pricing: Average pricing is ~$35 to be able to extract ~2000 Amazon pages successfully

Analyze KOL communities using PharmaSignals(Analytics platform)

Pharmasignals - Analytics platform for KOL conversation

How PharmaSignals uses AI to capture Voice of Hematology KOL Communities

KOL Communities

It is widely known that knowledge thrives and grows in communities where specialists can discuss and exchange the latest in research, discoveries, publications, and opinions. Research requires refined expertise and long-term dedication within the medical community, often for years. Bringing these experts together creates synergies enabling a broader network reach and exchange of information, speeding up what otherwise may not have reached the public eye. As a result, discoveries are made, and new therapies are developed bettering our communities.

Hematology KOL Communities

At SetuServ, we believe strongly in supporting medical research and using our technologies to advance medicine for the greater community. As a result, SetuServ developed PharmaSignals, an AI text analytics tool specifically dedicated to the pharmaceutical industry that captures real-time customer intelligence from Voice of Physicians and Patients connecting pharma companies to digitally active Hematology KOL Communities.

With PharmaSignals, SetuServ analyzes KOL communities related to Hematology including the American Society of Hematology (ASH), the American Society of Clinical Oncology (ASCO), Columbus Oncology, Southern Oncology Hematology Associates, and the Columbus Oncology and the Hematology Associates. These organizations host a variety of medical conferences, online forums, and discussions where many of the world’s greatest KOLs in oncology and hematology convene to exchange knowledge and opinions on the latest in these therapeutic areas. (More on the Digital Presence of Key Opinion Leaders in Hematology can be found here.) The information exchanged digitally is quite valuable yet capturing and aggregating relevant data across multiple channels has proven challenging.

Capturing Data from Hematology KOL Communities: Process and Methodology

PharmaSignals seamlessly collects, cleans, and classifies real-time customer intelligence from Voice of Physicians and Patients using the following methodology:

Collect

Opinions expressed by physicians on studies and clinical trials are scattered across Twitter, media posts, conference transcripts, and other digital channels.
PharmaSignals mines these data across all channels and integrates sources into one platform.

Clean

Data is cleaned, noise is removed, and subject-relevant information is passed through to be analyzed

Classify

Cleaned data is organized by drug, study name, disease area, mechanism of action, etc.

Filters include sentiment and key insight themes information is disseminated to members via an online portal/email digest. Filters include media type, source, author type, creator name, handle name, post type, and drug. Users are also able to drill down by study and disease area. Similarly, quantitative metrics allow for seamless measurement, tracking, and advanced analytics, including share of mentions (SOM), the share of interactions (SOI), and time-series analytics.

Use Case Example: Voice of the KOL from the ASH Conference

Such data mining and engineering analytics was performed for the ASH conference. Online conversations from physicians were mined and analyzed. The chart below shows the number of mentions by day during, and after the conference.

Data was analyzed using machine learning. Major themes revolved around a variety of topics including Chronic Lymphocytic Leukemia (CLL), Acute Myeloid Leukemia (AML), and Mantel Cell Lymphoma (MCL). Each therapeutic area can be viewed by various filters, including media type, source, author type, creator name, study name, product, and sentiment.

PharmaSignals:

SetuServ’s Pharma Signals platform is specifically designed to analyze KOL communities’ large amounts of data using contemporary technologies like AI and NLP thus achieving speed, accuracy, and scale. The platform can aggregate data from various social and media sources, separate noise from insightful signals, and extract entities such as study name, disease area, drug, mechanism of action, and mine insights of interest. Various teams use the derived insights in different ways to provide insights on KOL, PCP, and patient conversations.

The output represents the quality of KOL opinions. Identifying and mining such insights provide actionable intelligence to pharma companies, especially on competitors’ drug pipelines.

For more information on our Hematology KOL Community database and applied analytics, don’t hesitate to contact [email protected].

Top 10 KOLs in Rheumatology

The pharmaceutical industry is a fast-paced and competitive environment. So, a pharma company needs a way to stay on the cutting edge of research, while also investing in new drugs that can generate a profit. One strategy they have developed is to engage key opinion leaders. These are doctors and researchers who have been identified as being respected by their colleagues within their field. Pharma companies work with these KOLs to promote their products and ensure they stay up-to-date on the latest developments in medicine

While we often see research and discoveries come to light in various publications and journals, health care providers can feel overwhelmed by how much information they need to know in order to provide accurate and knowledgeable medical advice. Here are the top 10 KOLs in Rheumatology identified using our PharmaSignals platform.

Dr. John Cush

Know-it-Now. Info on RA, Stills disease, Lupus, Gout, Pregnancy, Spondylitis, Psoriasis, Drug Safety, Rheumatology Research, Medical Education & Drug Evaluation

12.5K Followers

click here for latest tweets

2.4K+ Followers

click here for recent posts

95 articles

click here for publications

Jeffrey Sparks MD MMSc

Rheumatologist | Assistant Professor of Medicine | @BrighamWomens | @harvardmed | Investigating rheumatoid arthritis susceptibility, RA-ILD

4K+ Follower

click here for latest tweets

click here for latest tweets

click here for latest tweets

611 Followers

click here for latest posts

2 articles

click here for publications

While this data helps you to get to know on what Pharma Influencers are talking about, our AI powered solution can help to gain deep insights from these social mentions.

Top 10 KOLs in Respiratory

The pharmaceutical industry is a fast-paced and competitive environment. So, a pharma company needs a way to stay on the cutting edge of research, while also investing in new drugs that can generate a profit. One strategy they have developed is to engage key opinion leaders. These are doctors and researchers who have been identified as being respected by their colleagues within their field. Pharma companies work with these KOLs to promote their products and ensure they stay up-to-date on the latest developments in medicine

Here are the top 10 KOLs in Respiratory identified using our PharmaSignals platform.

Anand S. Iyer, MD, MSPH

Pulmonologist working to improve care for people with serious illness through #pallipulm & #geripulm.

5K Followers

click here for latest tweets

click here for latest tweets

4 CT Studies

click here for publications

122 articles

click here for publications

While this data helps you to get to know on what Pharma Influencers are talking about, our AI powered solution can help to gain deep insights from these social mentions.

Top 10 KOLs in Hematology

The pharmaceutical industry is a fast-paced and competitive environment. So, a pharma company needs a way to stay on the cutting edge of research, while also investing in new drugs that can generate a profit. One strategy they have developed is to engage key opinion leaders. These are doctors and researchers who have been identified as being respected by their colleagues within their field. Pharma companies work with these KOLs to promote their products and ensure they stay up-to-date on the latest developments in medicine

While we often see research and discoveries come to light in various publications and journals, health care providers can feel overwhelmed by how much information they need to know in order to provide accurate and knowledgeable medical advice. Here are the top 10 KOLs in Hematology identified using our PharmaSignals platform.

Naveen Pemmaraju, MD

Director #BPDCN Program | Expertise Acute & Chronic Leukemia (#leusm), MPN (#MPNSM)| Osler Alum Johns Hopkins(Barker’05-08)

10.4K Followers

click here for latest tweets

5 Studies

click here for publications

263 articles

click here for publications

Michael Wang, MD

Puddin Clarke Endowed Professor, #Lymphoma/#Myeloma @MDAndersonnews ; #mantlecelllymphoma, B-Cell Lymphoma Moonshot, MD Anderson

4.3K Follower

click here for latest tweets

1.2K Followers

click here for recent posts

click here for latest posts

654 articles

click here for publications

While this data helps you to get to know on what Pharma Influencers are talking about, our AI powered solution can help to gain deep insights from these social mentions.

By Function / Use case

Industry-specific AI solutions, while targeted, are typically modeled on generic data

About us

By Function / Use case

Industry-specific AI solutions, while targeted, are typically modeled on generic data

About us

Top 10 KOLs in Rheumatology

Dr. John Cush

Know-it-Now. Info on RA, Stills disease, Lupus, Gout, Pregnancy, Spondylitis, Psoriasis, Drug Safety, Rheumatology Research, Medical Education & Drug Evaluation

12.5K Followers

2.4K+ Followers

95 articles

Jeffrey Sparks MD MMSc

Rheumatologist | Assistant Professor of Medicine | @BrighamWomens | @harvardmed | Investigating rheumatoid arthritis susceptibility, RA-ILD

4K+ Follower

1CT Studies

4 articles

Angus Worthing MD

Rheumatologist @WashDCArthritis interested in health advocacy. Board member @ACRheum & @ATAPadvocates . Live in DC, root for MN Go

2.9K Followers

287 Followers

2 articles

Mithu Maheswaranathan, MD

Rheumatologist at Duke Creator of @RheumOnePagers | Interests: Medical Infographics • Lupus • Health Literacy

2.8K Followers

11 Followers

14 articles

Jilaine Bolek Berquist .

Rheumatologist/educator/travel enthusiast. Social Media Editor for @seminarthrheum

2.3K+ Followers

Facebook Proile

2 articles

Rohit Aggarwal

Rheumatologist, research in Myositis & Interstitial lung disease, medical director, Myositis Center, Professor of Medicine

2.3K Followers

3 CT Studies

118 articles

Kanika Monga, MD

She/her ‖ Rheumatologist / Assistant Professor @TxMedCenter ‖ Comm & Marketing Committee @ACRheum #ACR21 ‖ Medical News Contributor‖ Wife ‖ Mom

2K Followers

306 Followers

7 articles

Tuhina Neogi, MD, PhD

Rheumatologist & Epidemiologist Researcher in #osteoarthritis & #gout | Prof. of Medicine & Epidemiology | Chief of Rheum | @BUMedicine @The_BMC @BU_BMC_Rheum

1.7K Followers

216 Followers

14 articles

Alí Duarte, MD

Rheumatologist @mayoclinic | #Lupus & #APS | Clinical lead, LUMEN💡- Lupus Midwest Network

1.7K Followers

7 CT Studies

46 articles

Mohammad A. Ursani MD, FACP

Rheumatologist | @ACRheum CMC Chair | @HCMSHAM Ambassador | @TexMed Delegate | TexMed Leadership College | #ACRAmbassador | Views = Mine | Re-tweet ≠ endorse

1.5K Followers

611 Followers

2 articles

Top 10 KOLs in Respiratory

Anand S. Iyer, MD, MSPH

Pulmonologist working to improve care for people with serious illness through #pallipulm & #geripulm.

5K Followers

1 Studies

28 articles

S Faiz

Pulmonologist/intensivist/ sleep specialist @MDAndersonNews #MedEd #Simulation #PCCM #SleepMed. All tweets my own #MDApulmonary

3.6K Follower

835 Followers

1 CT Study

AB Alraiyes

Associate Prof AAB_IP Board of Director & Public Relationship Chair, interventional pulmonology, sleep, pulm, CCM doctor

2.8K Followers

12K+ Followers

2 CT Studies

Nikhil Meena

Mediatrician( Med-peds),Interventional pulmonologist, tinker, sketchy sketcher.

2.1K Followers

2 CT Studies

133 articles

Casey Cable

Pulmonary critical care physician @VCUHealth . #sepsis #RapidResponse #CritCare. Educator. Prior chemist & work on NASA Mars lander. Surfer. Herder of cats.