Prompt
What are the best datasets for competitor analysis?
Latest observation
The "best" dataset for competitor analysis depends on the specific dimension of your competitors you want to evaluate—such as their financials, web traffic, product technology, hiring trends, or pricing.
Categorized below are the leading datasets and data sources used by market research and strategy teams, grouped by focus area:
1. Firmographics & Funding Data
Best for tracking company size, investments, leadership, and acquisition activity.
- PitchBook: The industry standard for private market data, offering detailed insights into venture capital, private equity, valuations, M&A history, and key investors.
- Crunchbase: Highly accessible data on funding rounds, investors, acquisitions, team leadership, and basic headcount metrics.
- ZoomInfo / Clearbit: Deep firmographic datasets covering employee count, estimated revenue, company locations, and org chart hierarchies.
2. Web Traffic & Search Performance
Best for benchmarking digital footprint, marketing strategies, and audience reach.
- Similarweb: Provides web and mobile traffic datasets including monthly visits, user engagement, top traffic sources, referral paths, and country distributions.
- Semrush / Ahrefs: Comprehensive search engine optimization (SEO) and paid search datasets. They allow you to analyze competitors' organic keywords, ad campaigns, backlink profiles, and estimated PPC budgets.
3. Technographics & Product Stack Data
Best for understanding what tools, infrastructure, or software competitors build on.
- BuiltWith: Datasets revealing the full technology stack of a competitor’s site—including web frameworks, analytics tools, hosting providers, payment gateways, and CRM usage.
- Wappalyzer: Similar to BuiltWith, offering structured technology adoption data for competitive benchmarking.
4. Workforce, Hiring & Strategy Trends (Alternative Data)
Best for detecting growth areas, pivot strategies, and talent retention.
- Revelio Labs: Transforms public workforce profiles and job postings into standardized labor market datasets. Excellent for seeing if a competitor is rapidly hiring in AI, expanding overseas, or facing high attrition.
- Coresignal: Offers raw and enriched datasets aggregated from job postings, social profiles, and employee reviews to track team expansion and hiring shifts.
- Thinknum Alternative Data: Tracks public web data like active job listings, store locations, and social followers over time to gauge real-time enterprise health.
5. Mobile App & Product Intelligence
Best for comparing mobile apps, user retention, and feature performance.
- Sensor Tower / Data.ai (formerly App Annie): Leading mobile app market intelligence platforms. They provide datasets on estimated downloads, revenue, daily active users (DAU/MAU), and user demographics across iOS and Android.
6. Customer Reviews & Perception (Sentiment Analysis)
Best for analyzing competitor weaknesses, pricing complaints, and customer satisfaction.
- G2 / Capterra / Gartner Peer Insights: Structured B2B software review datasets detailing user ratings, likes/dislikes, pricing clarity, and feature satisfaction.
- Trustpilot / Brandwatch / Meltwater: Social listening and general product review datasets used to measure brand sentiment, share of voice (SOV), and public reputation against competitors.
7. Ecommerce, Pricing & Web Scraping Datasets
Best for tracking rival pricing strategies, product catalog updates, and promotions.
- Bright Data / Apify: Web data collection platforms that offer pre-built or custom datasets (or scrapers) to monitor e-commerce price shifts, product inventory, and catalog updates in real time.
- Visualping / WebDataGuru: Web monitoring platforms used to generate alerts and log historical datasets whenever competitors alter their landing pages, pricing tiers, or feature lists.
8. Financials & Public Market Filings
Best for in-depth financial comparisons of public competitors.
- SEC EDGAR Database (Free): Official U.S. government repository containing public filings (10-K, 10-Q, 8-K) for comprehensive balance sheets, risk factors, and strategic disclosures.
- Alpha Vantage / Yahoo Finance API: Financial API datasets providing real-time and historical stock prices, fundamental revenue data, and financial ratios.
- S&P Capital IQ / Bloomberg Terminal: Institutional-grade financial datasets for global corporate modeling and valuation metrics.
Where to Find Open or Raw Sample Datasets
If you are looking for free or practice datasets for competitive analysis projects:
- Kaggle: Search for "competitor pricing," "E-commerce catalog," or "SaaS metrics" datasets.
- AWS Data Exchange / Snowflake Data Marketplace: Feature both free samples and commercial datasets across industries (retail foot traffic, financial transaction data, etc.).
- GitHub Awesome Public Datasets: Contains links to hundreds of open-source datasets across technology, finance, and marketing.
Brands
Citations
- https://datarade.ai/use-cases/competitor-analysis
- https://coresignal.com/use-cases/market-intelligence/competitive-analysis/
- https://www.infodesk.com/blog/how-to-get-competitive-data-10-free-sources-you-can-use
- https://www.youtube.com/watch?v=5KhbseeQT1s
- https://www.webdataguru.com/blog/guide-to-competitive-intelligence-data
- https://visualping.io/blog/competitive-intelligence-sources
- https://www.dataquest.io/blog/free-datasets-for-projects/
- https://www.kaggle.com/datasets
- https://www.safegraph.com/guides/competitive-intelligence/
- https://github.com/awesomedata/awesome-public-datasets
Observation history
See 4 earlier observations
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How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (5 observations for this page). Metrics are distributions over observations, not a single static ranking.
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OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, and Meta AI.