Conduct competitive analysis
- Research competitor strategies
- Identify competitors’ strengths and weaknesses
- Discover growth areas
Used by:
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
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Database APIs
Search and enrich with direct access to a large-scale database.
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Dataset
Leverage extensive datasets for unique business insights.
All-in-one company dataset for competitive analysis
Power your product or analysis with multi-source data on 36M+ unique companies. The unmatched level of detail in every record, over 300 data points, allows you to extract unique insights and gain a panoramic understanding of businesses worldwide. This multi-source dataset also contains additional data fields with insights powered by AI and years of historical data.
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Need data for competitive analysis?
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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.