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From Looker to Mixpanel: How and why Mixpanel’s analytics team is making the transition

Mixpanel

Our data scientists and analysts—with over 40 years of combined experience at companies including Zoom, Meta, Reddit, Twitter, and Google—require powerful and sophisticated tooling for business operation and revenue data analysis. Up until now, that was handled by Mixpanel and Looker, our BI (business intelligence) solution of choice.

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How to Implement Testing in Production

Split

Testing in production is becoming more and more common across tech. The most significant benefit is knowing that your features work in production before your users have access. The following plan is both guidance and order of operations for what to implement if you want to start testing in production.

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Customer Feedback System: How to Build One That Grows Your Company

Usersnap

Ever found yourself getting loads of feedback, but didn’t have the customer feedback system in place to do something with it all? Not only is it a mess for you, but it can also let your customers down when you don’t do something about their feedback. The customer feedback system learning.

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The Ultimate Guide to Google Analytics 4 for UX Designers and Business Owners

UX Planet

Let’s start, Google Analytics 4 is a powerful web analytics service that provides valuable insights into user behavior, engagement, website conversion, and much more. Additionally, we will discuss how to optimize UX design using Google Analytics 4 by identifying UX issues, A/B testing, and using heatmaps and session recordings.

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What Can You Expect From Today’s Customer Analytics Landscape?

Indicative

Focused on democratizing access to data-driven decision making, Customer Analytics tools empower non-technical users (like marketing and product teams) to make sense of all the data. How Customer Analytics tools fit into the broader BI and analytics landscape. A/B testingTest product and marketing changes with real customers.

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Product Operations: Unlock Your Product Team’s Full Potential

The Product Coalition

Building great products is hard. It’s even harder when product managers and engineers are bogged down with work that distracts them from their highest leverage activities of identifying problems and building products people want to use to solve those problems. What Is Product Operations? Key Tasks User issues reports.

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How to Build Your Dream Analytics Stack

Indicative

Every team — from product to marketing, and IT to engineering — is generating data. It empowers each team across the organization to make data-driven decisions, with access to reporting and ad hoc analysis. . What Technology Do You Need in Your Stack? The data and analytics space is rapidly growing, expanding, and evolving.