Building a Content Matching System for Outreach Campaigns

Hi I want to build the following but struggeling a bit on how to do it. I have a client who has a giant content repository with a summary and three columns with key takeaways. Visitors and subscribers (and members but they are not included in this system) are able to download content. I want to create a system where I can match the downloaded content to the content repository and come up with a new content suggestion to start of a outreach campaign with. Do you guys have any suggestions on how to create such a matching. Idea's are more then welcome! Thanks a bunch.

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To create a system for matching downloaded content and generating suggestions for outreach campaigns, you can use Clay's features: 1. Content Analysis: Use Claygent to extract metadata and key excerpts from your content repository. This includes classifying content type, identifying authors, summarizing main points, and pulling relevant quotes. 2. Data Enrichment: Utilize Clay's enrichment capabilities to gather additional data on your content and subscribers. This can include using waterfalls for contact details and AI for deeper insights. 3. Personalization: Use AI to generate personalized snippets based on the analyzed content and subscriber data. These snippets can be inserted into your outreach messages. 4. Write to Table: Use our "write to table" feature to organize and store your matched content and generated suggestions for easy access during campaigns. This approach will help you create targeted, engaging outreach messages based on downloaded content and user preferences.
Sources: Claygent: AI Web Scraper [Clay 101] - Clay University Personalize outreach messages using AI snippets | Clay Intro to Clay 101: FETE Framework - Clay University
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Building a Content Matching System for Outreach Campaigns | Clay