Scarf Newsletter - August 2024
Scarf now offers advanced filtering options to supercharge your understanding of open source usage data. By filtering and cross-filtering across categories like company size, industry, location, and tech stacks, you can identify key insights—such as which Global 2000 companies are in the "ongoing usage" stage of your project.
These powerful filters allow you to focus on real engagement, filter out bots, and understand exactly where companies are in your open source funnel—from initial interest to active use.
Plus, you can export filtered data to integrate with tools like Common Room, Pocus, and HubSpot, allowing you to enhance your sales and marketing strategies with Scarf data.
Scarf's filtering options are designed to give you a deeper understanding of your open source funnel. Book a demo today to see it in action.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
Published
August 28, 2024
This article was originally posted on
Hackernoon
Scarf now offers advanced filtering options to supercharge your understanding of open source usage data. By filtering and cross-filtering across categories like company size, industry, location, and tech stacks, you can identify key insights—such as which Global 2000 companies are in the "ongoing usage" stage of your project.
These powerful filters allow you to focus on real engagement, filter out bots, and understand exactly where companies are in your open source funnel—from initial interest to active use.
Plus, you can export filtered data to integrate with tools like Common Room, Pocus, and HubSpot, allowing you to enhance your sales and marketing strategies with Scarf data.
Scarf's filtering options are designed to give you a deeper understanding of your open source funnel. Book a demo today to see it in action.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
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Scarf now offers advanced filtering options to supercharge your understanding of open source usage data. By filtering and cross-filtering across categories like company size, industry, location, and tech stacks, you can identify key insights—such as which Global 2000 companies are in the "ongoing usage" stage of your project.
These powerful filters allow you to focus on real engagement, filter out bots, and understand exactly where companies are in your open source funnel—from initial interest to active use.
Plus, you can export filtered data to integrate with tools like Common Room, Pocus, and HubSpot, allowing you to enhance your sales and marketing strategies with Scarf data.
Scarf's filtering options are designed to give you a deeper understanding of your open source funnel. Book a demo today to see it in action.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
Read all about it in this case study.
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