Remove category data-center
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How to Create a Resource Center For Your SaaS Product: Steps and Best Practices

User Pilot

Wondering how to create a resource center for your SaaS product? A resource center is a central hub of resources that helps your customers solve problems and learn more about your product. TL;DR A resource center provides tailored content to aid users in problem-solving your product. Then, you’ve come to the right place!

AI Search 101
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Guide to Knowledge Base Creation For SaaS: Steps, Best Practices, and Tools

User Pilot

Group content into modules and categories. A SaaS resource center should include a variety of content to cater to different needs and learning styles. To ensure users find your knowledge base once it’s published, use a tooltip to guide users to the resource center. Create granular content. Play video tutorials directly in-app.

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UIPath S-1 Analysis: How 7 Key Metrics Stack Up

Tom Tunguz

UIPath, leaders in the Robotic Process Automation (RPA) category, filed their S-1 last week , revealing an impressive business. Robots read pdfs that customers provide and input that data into other computer systems. It’s consistent with the previous data that the business is moving upmarket and cross-selling more frequently.

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High-Velocity Techniques to Maximize Sales with Gusto’s CRO and Head of Go-to-Market

SaaStr

Together they share the high-velocity techniques they use to maximize sales, including: Sell to SMBs Use round-robin to assign accounts, but you’re not sure if it’s optimal Are stuck in a world of geographic territories Spend a lot of time manually building territories Gusto thinks of the rev ops capability as the brain center and engine builder.

Scale 203
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Analytics vs Metrics: What’s the Difference and How to Analyze Metrics?

User Pilot

Though both are important, analytics and metrics have distinct meanings and purposes in your data analytics process. Analytics collects and analyzes data to understand customer engagement with your products. Some analytics categories in SaaS are the journey , experience , engagement , behavior , retention , and loyalty analytics.

Metrics 97
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Survey Analytics: How to Collect and Interpret Survey Data?

User Pilot

Want to know how you can use survey analytics to leverage customer feedback data? There are five types of survey data: quantitative data, qualitative data, categorical data, ordinal data, and scalar data. Here are the four major types of survey data.

Data 89
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The Intersection of AI and Security: What’s New at Secureframe with CEO Shrav Mehta

SaaStr

and letting it mine the data. ” The Intersection of AI and Security It’s going to get a bit harder for CEOs and CTOs to maintain security and compliance going into 2024. “You’re seeing data breaches happen all the time,” Shrav said. “These are having real-world impacts. Never a lot of it.

AI 148