Remove category analytics
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Free vs Paid Analytics Platforms: How to Choose One (+ Best Tools in Each Category)

User Pilot

Analytics tools offer a competitive advantage for companies investing in prolonged product growth. However, not all companies can invest precious resources in an analytics tool. In reality, some companies are better served using free vs paid analytics platforms. There are different types of analytics tools.

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My App Stack: Tifenn Dano Kwan, CMO at Amplitude

SaaStr

I think of the apps I rely on in four different categories: reporting, collaboration, analytics, and management. For analytics, I use Amplitude for digital analytics, deep-dives into how campaigns are performing, and driving product-led growth. This week we have Tifenn Dano Kwan, CMO at Amplitude! #1.

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The Web3 Marketing Stack: The Next Big Wave in Crypto

Tom Tunguz

On the left web3 app marketers (advertisers) gather analytics on their users. Web3 Analytics resemble web2 in theory but differ in practice. The Analytics systems power Segmentation software. Attribution vendors and Analytics vendors will poll various blockchains constantly to provide up-to-date data.

Marketing 353
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9 Customer Analytics Use Cases For SaaS

User Pilot

Looking for customer analytics use cases that can significantly improve your SaaS? We also cover: Customer analytics categories. The three types of customer analytics and their significance. How to measure customer behavior with data analytics. There are four categories of customer analytics categories.

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In-App Customer Support: Tools and Best Practices for a Great In-App Support Experience

User Pilot

Track engagement and analytics to see which areas of your in-app support need to be optimized and which content types you should prioritize in the future. Here are some common category examples found in resource centers: Get started section. Knowledge base section that leads to further article categories. Onboarding checklist.

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Hex - The Best Product for the Technical Analyst

Tom Tunguz

During this period, there have been three main categories of data work: business intelligence, machine learning, and exploratory analytics. Of the three, exploratory analytics is the least developed so far. And if you’re passionate about building the future of exploratory analytics, Hex is hiring.

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How to Reinvent a Category that’s Already Been Won with Braze Co-Founder Mark Ghermezian (Pod 550 + Video)

SaaStr

Category creation involves dreaming up a new suite of products that can sell via traditional channels or methods. Mark Ghermezian, the co-founder of Braze, takes us through his journey of reinventing a category and building Braze from an idea into a dominant player in the mobile lifecycle marketing space. Listen to your customers.