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Evolving our data model beyond front-end events

Mixpanel

Events are a restrictive, inflexible way of modeling data.” This spring, we’re evolving our data model to be more flexible than any other product analytics tool by allowing the ingestion and representation of more than just front-end product interactions. Traditionally, event data in product analytics has been immutable—i.e.,

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Event Data for SaaS: A Complete Guide with Examples

Userpilot

Do you want to leverage event data to make data-driven decisions to enhance user experience? Event data allows you to understand your users’ behaviors and needs on a deeper level. It encompasses a wealth of data like user actions, feature usage, and beyond. What is event data?

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Introducing Borrowed Properties: Combine data between events on the fly

Mixpanel

We’re excited to introduce Borrowed Properties, where you can “borrow” a property from one event to another on the fly, and you can analyze as though that property has been tracked on that event all along. Previously, there was no way you could combine data between events. Let’s take a look at the examples.

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Product in Practice: Iterating on Outcomes with Limited Data

Product Talk

Bluestone Analytics, where Thomas works, offers a range of solutions related to data and analysis. Describing the product he’s responsible for, Thomas says, “My product squad owns presenting that data in a way that will make it easier for you to find the clues you’re looking for. Click the image to see a larger version.

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10 Rules for Managing Apache Kafka

Under the hood, it is an elegant system for stream processing, event sourcing, and data integration. Without proper guidance, it’s easy to miss out on Kafka’s full capabilities. While not the easiest technology to optimize, Kafka rewards those willing to explore its depths.

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We’re bringing event analytics to your data warehouse

Mixpanel

Most of the data our customers analyze in Mixpanel is from user behavior. But when you add in data from across the company—on revenue , customer profiles, etc.—Mixpanel Today, we’re introducing Warehouse Events to make it easier to bring in all that extra data. Event data is immutable once sent.

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Post-event Survey Questions for SaaS and How to Deliver Them

Userpilot

Triggering post-event survey questions can significantly boost your response rates and the quality of your user feedback. Let’s explore some post-event survey examples and then explain how you can do it as well! TL;DR Post-event surveys are relevant to the experience that your users are having at the moment. Content relevance.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing. Save your seat and register today!

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The Ultimate Guide to Conversion Rate Optimization

In this guide, you’ll learn: 7 detailed steps to infuse data-power into your conversion process. How to define the right events. And, “Is the issue a technical breakdown, or is it the UX flow?”, then you’ve come to the right spot. How to shine a light on where customers drop off. New ways to test, learn, and iterate.

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The SaaS Guide to Conversion Rate Optimization

In this guide, you’ll learn: 7 detailed steps to infuse data-power into your conversion process. How to define the right events. And, “Is the issue a technical breakdown, or is it the UX flow?”, then you’ve come to the right spot. How to shine a light on where customers drop off.

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Using a Non-Revenue North Star Metric

Speaker: Ashley Carroll, Partner, Social Capital

What other metrics are applicable as your north-star, and how do you establish reliable data sources? How to establish reliable data sources. This special event will show you how to embrace unconventional metrics to your product's benefit. How to have a great product despite being under-monetized.