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Mobile App Analytics Best Practices: What Top Apps Are Doing Differently

Userpilot

Most product teams get mobile app analytics wrong. They track 47 different key performance indicators (KPIs) in their mobile analytics platform , spend hours debating dashboard numbers, yet can’t predict which users will churn next week The problem here isn’t a lack of data.

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Effective customer engagement is business critical – insights from Harvard Business Review Analytic Services

Intercom, Inc.

New research from Harvard Business Review Analytic Services reveals that businesses of all sizes – from small businesses to enterprises – are realizing the business value of personal, efficient customer engagement. Below, we take a deeper dive into the report’s key data and trends. But they’re facing big barriers.

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Whatfix Mobile Review: Pricing, Features, Pros & Cons

Userpilot

In this Whatfix Mobile review, youll find answers to three questions: What does Whatfix Mobile offer? Compliance-heavy industries Sectors like finance, healthcare, insurance, and government cant afford errors in their mobile apps. However, advanced behavior targeting requires a separate analytics integration. moment faster.

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The Top Mobile In-App Feedback Tools of 2022

Alchemer Mobile

I’m going to take a wild guess and assume that you already understand the importance of mobile in-app feedback tools. You also might be reading this post thinking: “Who’s adding new tools to their tech stack right now?” Do you have the right tools to capture that voice? Mobile in-app feedback tools & solutions.

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Customer Retention Rate: Essentials

UX Planet

Reference values CRR varies widely across industries due to differences in customer expectations about business. Finance and banking: 85%90%. Established customer relationships and financial product stickiness (customers typically avoid switching to other finance service) lead to high retention rates. increased churn).

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510: How to use these AI tools to create a product brief – with Brian Collard

Product Innovation Educators

How product managers can use AI to work more efficiently Watch on YouTube [link] TLDR AI is changing how we manage products and come up with new ideas, giving us new tools to work faster and be more creative. The future of product management will involve using more AI tools, like advanced language models and creating fake data for testing.

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A Leader's Guide to Metrics Reviews

Sachin Rekhi

Ada and I both had the privilege of working at two data-driven companies, LinkedIn and SurveyMonkey , led by two analytically rigorous leaders, Jeff Weiner , and the late Dave Goldberg. Those experiences shaped the way that we both now think about building an effective data-driven product culture. Why metrics reviews matter.