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How to Identify Company Products Using Website and LinkedIn Data

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Hi, team! Could you please share the best approach to identify what products or solutions a company is offering? I have access to data such as the company's website and LinkedIn profile. Examples of desired outputs: AI-powered health apps, cancer cell monitoring solutions, etc. Thank you!

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    Channeled
    APP
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    To identify a company's products and solutions using their website and LinkedIn profile, follow this approach:1. Start with the company's website and LinkedIn URL as your foundation points. 2. Look for these key data points: ā€¢ Company Description: This provides an overview of what the company does and their main focus ā€¢ Company Product Description: Details about their specific products and solutions ā€¢ Company Keywords: Key terms that describe their focus and industry ā€¢ Company Product Reviews: To understand their offerings through customer experiences 3. Use the company's LinkedIn profile to: ā€¢ Review their company overview ā€¢ Check their recent updates and featured content ā€¢ Analyze their industry categorizationThis structured approach will help you build a comprehensive understanding of their product offerings and solutions. Sources: Lead Scoring [Clay 101] - Clay University Data points: Contact Linkedin Connection Count | Clay.com Data points: Company Product Description | Clay.com

  • Avatar of Oleksii I.
    Oleksii I.
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    Could you also let me know if there are any templates or playbooks available for this process?

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    Channeled
    APP
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    Yes, we have several templates that can help you identify and analyze company products and solutions:1. A workflow template that helps you: ā€¢ Find similar companies to your target prospects ā€¢ Analyze their products and promotions ā€¢ Capture detailed promotional information ā€¢ Check specific product and service offerings 2. Another template allows you to: ā€¢ Find and enrich business information ā€¢ Access company websites and reviews ā€¢ Create detailed analysis of their offerings 3. For publicly traded companies, there's a template to: ā€¢ Access and analyze 10-K reports ā€¢ Extract information about their products and strategic initiatives ā€¢ Identify key business challenges and prioritiesYou can access these templates through our platform and follow the detailed instructions in the accompanying Claybooks. Sources: Find retail companies with active promotions | Clay Find Key Decision Makers at any Company with just a Website URL | Clay Claybooks: Extract data from hundreds of 10-K reports in minutes | Clay.com

  • Avatar of Oleksii I.
    Oleksii I.
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    Could you also let me know if there are any specific prompts, formulas, or configurations for Claygent to effectively parse a company's website and LinkedIn profile? The goal is to extract clear insights about their products or solutions, such as "AI-powered health apps" or "cancer cell monitoring solutions."

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    Channeled
    APP
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    Yes, Claygent can help you analyze company websites and LinkedIn profiles effectively. Here's how to use it:1. Access Claygent through the enrichment panel in your Clay workspace under the Tools section > AI. 2. You can use Claygent to: ā€¢ Research if companies offer specific products or services ā€¢ Extract company descriptions and summaries ā€¢ Analyze company information from unstructured data 3. For LinkedIn profiles specifically, Claygent can: ā€¢ Extract work experience details ā€¢ Gather company descriptions and summaries ā€¢ Analyze company information and updates ā€¢ Find related content like blogs and interviews that mention productsTo get started, use our preset templates which are designed for common tasks - they'll help you understand how to structure effective prompts for your specific needs. Sources: Claygent: AI Web Scraper [Automated Outbound] - Clay University Claygent: AI Web Scraper [Clay 101] - Clay University Clay AI Capabilities

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    Channeled
    APP
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    Hi Oleksii I.! This thread was recently closed by our Support team. If you have a moment, please share your feedback:

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    Thank you so much for sharing your feedback Oleksii I.!