Professional network data
Leverage our top B2B datasets
Job posting data
Get access to hundreds of millions of jobs
Employee review data
Get data for employee sentiment analysis
Clean dataNEW
Enhanced professional network data
Employee data
Get data on global talent at scale
Funding data
Discover and analyze funding deals
Firmographic data
Unlock a 360° view of millions of companies
Technographic data
Analyze companies’ tech stacks
BY INDUSTRY
MOST POPULAR USE CASES
Investment
Leveraging web data for informed investing
HR tech
Building or enhancing data-driven HR tech
Sales
Supercharging your lead generation engine
Marketing
Transforming marketing with web data
Market research
Conducting comprehensive market research
Lead enrichment
Use Coresignal’s data for enrichment
Talent analytics
Analyze talent from multiple perspectives
Talent sourcing
Comprehensive talent data for recruitment
Investment analysis
Source deals, evaluate risk and much more
Target market analysis
Build a complete view of the market
Competitive analysis
Identify and analyze competitors
B2B Intent data
Lesser-known ways to find intent signals
BY INDUSTRY
MOST POPULAR USE CASES
Investment
Leveraging web data for informed investing
HR tech
Building or enhancing data-driven HR tech
Sales
Supercharging your lead generation engine
Marketing
Transforming marketing with web data
Market research
Conducting comprehensive market research
Conduct competitive analysis
- Research competitor strategies
- Identify competitors’ strengths and weaknesses
- Discover growth areas
Daily
updates and discovery
20
data sources
3B+
data records
APIs
with a self-service tool
Web data use cases for competitive analysis
Research competitor strategies
Analyze market trends and identify opportunities for product differentiation and improvement using the insights gained from competitor analysis. Get a clearer picture of the competitive landscape by analyzing firmographic and funding data, employee and product reviews, job postings, and more.
Top data points: active_job_postings, job_listing_location, product_name, product_rating
Identify competitors’ strengths and weaknesses
Gain insights into competitors' strategies, strengths, and weaknesses by analyzing company growth trends (historical data), funding data, employee reviews, product ratings, and more. This comprehensive analysis allows for a better understanding of the competitive landscape.
Top data points: headcount, average_tenure, team_composition, revenue,company_pros, company_cons, product_rating, company_rating, active_job_postings
Discover their growth areas
See what opportunities your competition is betting on by analyzing data such as active job postings, team composition and expansion trends, successful products, and more.
Top data points: headcount, last_round_money_raised, last_round_type,active_job_postings, job_listing_location, employees, product_rating
Choose how you want to get the data
Database APIs
Search, filter, and enrich with direct access to a large-scale database.
Raw data
Leverage raw data for unique business insights on scale.
Clean data
Get cleaned and enriched datasets in JSONL, Parquet, or CSV.
- AI-enriched data fields
- Unified values
- Easily digestible datasets
- Multiple data formats
Need data for competitive analysis?
Ugnius Zasimauskas
Data Strategy Consultant
Neglecting to validate your data is a trajectory towards eventual failure. Similarly, limiting your evaluation to a single dataset without benchmarking it against others fails to provide insights into its quality or deficiencies. Without such comparative analysis, discerning the adequacy or inadequacy of your dataset remains unattainable.
Get in touch with our data consultants and we'll help you pick the best data solution.
Ugnius Zasimauskas
Data Strategy Consultant
Neglecting to validate your data is a trajectory towards eventual failure. Similarly, limiting your evaluation to a single dataset without benchmarking it against others fails to provide insights into its quality or deficiencies. Without such comparative analysis, discerning the adequacy or inadequacy of your dataset remains unattainable.