KOL Identification

Leverage the power of network analysis to identify Key Opinion Leaders (KOLs) and understand their paths of influence

Targeted KOL identification through better algorithms

Data-driven influencer identification

By combining all physician interactions across activity types, from clinical to social, Compile’s KoL map removes biases that hinder traditional approaches

Power of graph analysis

Various directed and undirected network graphs are used to measure degree centrality, eigenvector centrality, in degree centrality and pagerank

Pre-linked data assets

Reduce the time taken to generate all associated data of your target HCPs, with Compile’s pre-linked data that connects clinical activity with public datasets

Granular insights

Deep dive into a physician level view to understand the influence network and various other attributes including the treatment activity, affiliations, publications and more

Purpose-built algorithm

Compile uses a unique approach for KOL identification which is a combination of looking at the basic physician attributes like claims volume, referral activity publications and more, combined with complex network graph elements.

Intuitive application

Compile’s KOL dashboard gives the user to weigh the different basic and network elements to come up with a final score for ranking the physicians according to their use case

What makes Compile's data better?

Unified & linked data

Compile has ingested, cleaned and linked various data sources like PubMED, Clinical trials, Twitter, Open payments, etc. to get a complete view

Innovative approach

Using graph analytics to assess the network of a physician individually makes Compile’s KOL solution more robust

Faster insights

Compile’s unified data and automated algorithms can identify the KOLs in a therapy area in less than a day as opposed to 2 to 4 weeks traditionally

User friendly and intuitive dashboard for deriving insights


Generate KoL profiles instantly using basic market definitions. Compile’s application also allows the user to weigh network elements to tune the score to their use case


By pre-linking all the data elements and incorporating the graph analysis, Compile’s KOL application simplifies analytical and query requirements


All data is self-refreshing, and KOL profiles are generated at query time, ensuring accurate and timely updates

Entities profiled

2M+ HCPs
300M+ Patients' activities
8.5K+ Clinical trials
$8.5B Manufacturer-linked payments
6M+ HCP-HCP affiliations
8M+ HCP-HCO affiliations
50K+ Twitter handles
500+ Medical boards