Websites using Pipl

Okay, let s break down Pipl, covering its overview, revenue (where available), alternatives, pricing, and customer care.

Pipl Overview

Pipl is a people search engine specializing in identity verification and data enrichment. Unlike general search engines, Pipl focuses on providing comprehensive information about individuals by:

• Aggregating Data: It gathers information from a vast network of public and private sources, including social media profiles, professional networks, online directories, public records, and other databases.
• Advanced Matching Algorithms: Pipl utilizes sophisticated algorithms to match and verify the identity of individuals, even with variations in names, aliases, and contact information.
• Focus on Accuracy: They prioritize data accuracy and freshness, aiming to provide the most up-to-date information available.
• API and Tools: Pipl offers an API for integrating its data into other systems and tools for bulk searches, reverse lookups, and more.
• Use Cases: Primarily used by businesses for tasks such as:
  • Identity Verification (KYC): Confirming the identity of customers, employees, or partners to prevent fraud and ensure compliance.
  • Risk Assessment: Evaluating the risk associated with individuals based on their online presence and connections.
  • Fraud Detection: Identifying suspicious activities and patterns linked to potential fraudulent actors.
  • Due Diligence: Performing background checks and research on individuals and entities.
  • Sales & Marketing: Enriching customer profiles to improve targeting and personalization.
  • Legal/Investigative: Assisting in investigations and research by finding up-to-date information on people.

Revenue

• Private Company: Pipl is a privately held company, and therefore, its revenue figures are not publicly available.
• Subscription Model: It s safe to assume that Pipl operates on a subscription-based model, charging recurring fees for access to its API and search services.
• Tiered Pricing: Pricing models are likely tiered based on usage volume, features, and data access requirements.
• Estimated Revenue: Based on industry analysis and competitor revenues, Pipl is likely generating revenue in the multi-million dollar range, but this is purely an estimated guess.

Alternatives to Pipl

The market for identity verification and data enrichment has several players. Some of the most notable alternatives to Pipl include:

• LexisNexis: A major provider of legal, business, and risk management information, offering a broad range of data and analytics services.
• Accurint: A LexisNexis product specifically for identity verification and risk assessment, often used in the law enforcement and government sectors.
• Thomson Reuters CLEAR: A data and analytics solution for risk management, due diligence, and investigation.
• Spokeo: Primarily known for people search, but it also offers some data enrichment capabilities.
• Intelius: Another popular people search service with similar features to Spokeo.
• IDology: A company focused on identity verification, specifically for businesses that require secure customer onboarding.
• Trulioo: A global identity verification company specializing in digital identity verification for businesses.
• Experian: Offers data solutions for business credit and identity verification, among other things.
• Equifax: Similar to Experian, Equifax provides services including identity and credit verification.
• BeenVerified: Offers background checks and personal information searches for general consumers.

Key Differences Between Alternatives

• Data Focus: Some alternatives, like LexisNexis and Accurint, focus on providing a wider range of data sources beyond public records (including proprietary and specialized sources), while others, like Spokeo and Intelius, lean towards more readily available public information.
• API and Integration: The complexity and sophistication of API offerings vary between providers. Pipl is known for a robust API.
• Industry Focus: Some alternatives are geared towards specific industries like finance (Trulioo, IDology) or law enforcement (Accurint).
• Pricing: Pricing models vary based on features, data coverage, and usage.

Pricing

• Not Publicly Available: Pipl does not publicly display pricing on its website. This is typical of enterprise-level solutions where pricing is often customized based on the specific needs of the client.
• Customized Plans: Pricing is typically based on:
  • Number of API Calls: How many times the system is queried.
  • Data Coverage: What depth and breadth of data is required.
  • Specific Features: What features are needed for integration (batch searching, etc).
  • Support Levels: What level of customer support is necessary.
• Request a Quote: Businesses interested in Pipl must contact their sales team to receive a customized quote based on their specific requirements.
• Generally More Expensive: Pipl tends to be priced higher than more basic people search services, reflecting the depth, accuracy, and sophistication of their data.

Customer Care Details

• Contact Forms: Pipl provides contact forms on their website for general inquiries and support.
• Sales Team: The main point of contact for sales and pricing information is through their sales team.
• Account Managers: Clients with large accounts usually have dedicated account managers.
• Technical Support: For technical issues with the API and integrations, a technical support team is available.
• Training Resources: Pipl may provide training resources and documentation to assist clients in using their services.
• Support Hours: Standard business hours are usually the support window, though specific details may vary by the specific client.

In Summary

Pipl is a leading provider of identity verification and data enrichment services for businesses, offering a robust API and focus on data accuracy. While specific revenue and pricing details are not public, it is a premium service likely suited for organizations that require comprehensive and precise information about individuals. Alternatives exist, but each has its own strengths and weaknesses based on data focus, industry application, and pricing.