Remove Artificial Intelligence Remove Data Analysis Remove Payment Features
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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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18 Best AI Productivity Tools to Work Smarter in 2023

User Pilot

The undeniable advances in artificial intelligence have led to a plethora of new AI productivity tools across the globe. AI tools can help you with content creation, image generation, localization, SaaS marketing, email automation, and data analysis. MonkeyLearn: analyze your customer feedback using ML. Free trials.

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How Natural Language Generation Can Help Your Digital Marketing

Neil Patel

You can see why natural language generation is attractive to marketers. The insurance, energy, and telecommunications industries : These sectors have successfully introduced natural language generation to optimize their customer service, send out bills and invoices, and for report creation. Then there’s machine learning.

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The 8 Biggest SaaS Trends of 2020

SaaSX

In 2020, your data has never been safer or easier to use, emerging trends have never been more exciting, and we’ve never been more connected to the people around us. It could be argued that the biggest technological advance the 2010s brought was the rise of cloud computing and cloud-based subscription services.

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What is a Payment Service Provider (PSP) and How Do They Work?

Stax

The question is: how do payment service providers work and how can you choose the right one for your business? PSPs offer joint merchant accounts and flat-rate processing fees that make them ideal solutions for small businesses that only process payments occasionally. Read on to find out.

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How to Build a Churn Prediction Model to Predict Customer Churn

User Pilot

In this article, we investigate what it takes to create a churn prediction model and why you must do so. TL;DR Churn prediction involves identifying at-risk customers who are likely to cancel their subscriptions or close/abandon their accounts. This is especially true for SaaS companies with the subscription business model.

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Top Mobile Product Manager Job Roles (+Candidate Spotlight)

User Pilot

A job seeker with experience building AI-powered consumer products, preferably with ML or LLMs. A person with no background in AI, ML, or LLM-powered products. Experience building consumer products leveraging ML or LLM. She optimized product usability through data analysis and user feedback.

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