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Aggregating Visitor Data in Clay: Groupby and Pivot Table Alternatives

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Hi - Is there a groupby or pivot table equivalent on clay? I have a claytable which has all website visitor information for me however it has multiple rows of information for each visitor based on how many sessions have they done. I want to aggregate that data onto another clay table where each unique row is for a unique visitor. Appreciate the help πŸ™

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    Channeled
    APP
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    Yes, you can aggregate your visitor data using Clay's Lookup integration functionality. Here's how you can achieve this: 1. Create a new table to store your aggregated visitor data. 2. Use the "Lookup Multiple Rows" integration to scan and aggregate the data from your original table. This feature allows you to: β€’ Look up matching rows based on a unique identifier (like visitor ID) β€’ Count how many matching cells exist for each visitor β€’ Combine multiple sessions into a single row The Lookup integration works similarly to VLOOKUP in spreadsheets, allowing you to effectively pivot data between tables. For detailed implementation steps, you can refer to our documentation at: https://docs.clay.com/enrichments-and-providers/enrichments/all-providers/clay/lookup-record-in-other-table-clay-2.0

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    Channeled
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  • Avatar of Gaurav B.
    Gaurav B.
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    Yes thanks

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    Channeled
    APP
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    Great! I'm glad I could help. I'm here if you have any more questions.

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    Channeled
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    Great! I'm here if you need any further assistance.

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

  • Avatar of Gaurav B.
    Gaurav B.
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    Hi Looks like the link you shared doesn't exist any more

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    Channeled
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    Thanks! We've reopened this thread. You can continue to add more detail directly in this thread.

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    Our documentation has been reorganized and can now be found at Clay University. You can access all our guides and documentation by visiting Clay University.

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    Was that helpful?

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    Hi Gaurav B.! This thread was recently closed by our Support team. If you have a moment, please share your feedback: