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Best Data Analysis Software

Neil Patel

Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? You have to arrange your data, explain it, present it properly, and then derive a conclusion from it. Luckily, data analysis software can seriously simplify data analysis—provided you choose the right one.

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How to Conduct Qualitative Data Analysis? (+The Best Tool to Use)

User Pilot

Let’s face it: qualitative data analysis is vital to understanding why users act in a particular way and how they feel about your product in a way that quantitative product analytics can’t. This article will teach you how to analyze qualitative data to inform product development and improve the product experience.

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The Playbook to Building a Thriving Sales Culture with PatientPop SVP of Sales Justin Welsh (Video + Transcript)

SaaStr

Justin Welsh, former SVP of Sales at PatientPop explains how he started in SaaS in 2009 as the second sales hire at Zocdoc. Justin used Sales Culture to grow a successful PatientPop team to 140 employees and 55 million in revenue. It’s an SMB SaaS company in the healthcare technology vertical. FULL TRANSCRIPT BELOW.

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Data Maturity for SaaS: Model, Stages, and Benefits

User Pilot

Company data is one of the most valuable assets that a SaaS business can have. As such, implementing a data maturity model to get the most out of new insights will help you act on your product analytics instead of becoming distracted by vanity metrics. Why do you need data maturity models? Customer data analysis.

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SaaS Churn: Myths, Benchmarks, and Strategies to Retain More Revenue

FastSpring

Last week, I canceled an annual SaaS subscription (I had three weeks left until renewal). In the language of SaaS, I churned. In part two, we’ll cover five churn-prevention strategies that have been successful in other SaaS businesses. Part I: SaaS Churn Benchmarks. Is There an Ideal Churn Rate for SaaS?

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Guide to Self-Serve Analytics For SaaS

User Pilot

If you are a SaaS company, the chances are you’ve come across the term “self-serve analytics” at some point online. Unlike traditional data analysis methods, self-serve analytics equips everyone in your organization to explore data and take the right actions in real time. Let’s get started!

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Guide to Auto-Capture in SaaS: Benefits, Use Cases and Tools

User Pilot

When it comes to product analytics , data is king. Traditionally, SaaS companies had developers define important user actions and add custom tracking code to capture these events. The old way of collecting data, manual tracking , requires developers to manually write code for each event the business wants to track.