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

Mixpanel

Up until now, that was handled by Mixpanel and Looker, our BI (business intelligence) solution of choice. I’d like to share how we worked with our product, engineering, and design teams to inspire and dogfood the best business analytics solution and what we’re gaining today by moving off of Looker. Second, cost became an issue.

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How to Implement Testing in Production

Split

Testing in production is becoming more and more common across tech. The following plan is both guidance and order of operations for what to implement if you want to start testing in production. If your team is still hesitant or fearful, have them watch my video on testing in production. The Benefits of Testing in Production.

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

Indicative

A/B testingTest product and marketing changes with real customers. Heap offers many self-service integrations from CRM and payments to testing and pipelines. An excellent complement to BI tools, Indicative is great for ad hoc analysis and quick results that can take hours in Looker and Tableau.

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

UX Planet

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. Optimizing UX design with Google Analytics 4 involves identifying UX issues, conducting A/B testing, and using heatmaps and session recordings.

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Connection and Compatibility: How OkCupid Uses Analytics to Help People Find Love

Amplitude

Our customer data stack at OkCupid consists of mParticle, Looker, and product intelligence (PI) platform Amplitude. mParticle collects and stores our customer event data, which we send to Looker for general business reporting, and to Amplitude for deeper analysis on user behavior and our customer experience.

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How to Build Your Dream Analytics Stack

Indicative

Snowflake consistently outperforms BigQuery on a number of performance metrics, according to benchmark tests performed by technology blog GigaOm. Here are a few to consider: Looker creates a data modelling layer, through LookML, on top of your raw data. Looker is known for its interactive interface. Manageability.

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A close look at our analytics and metrics for product-led growth

Mixpanel

This allowed us to iterate on the data in a test project until we got things how we wanted them. Census is great for this because you can quickly create transformation models with just SQL and then set up a sync to push the transformed data into Mixpanel. There are two reasons.