Product analytics

Latest Articles

Warehouse-Native Product Analytics on Snowplow’s First Party Customer Behavioral Data

In the Modern Data Stack, all data — including Snowplow’s first-party customer behavioral data — goes to a centralized enterprise data store in the cloud. This could either be a data lake, such as Databricks, or a data warehouse, such as Snowflake. Whether using a lakehouse or warehouse architecture, enterprises are standardizing on having all […]

Behavioural Data Platforms (BDPs) for product analytics - a guide for product managers

In the recent years we have witnessed a rapid increase in analytics data and the solutions for monetising it. There’s a different tool for every conceivable use case – Data Warehouses, Data Lakes, Customer Data Platforms, BI Tools, Product Analytics Platforms, Experimentation Platforms, ETL software, and the list goes on. The problem is choosing the […]

An advanced guide to A/B testing

Along with funnel-based analytics, A/B testing is used by the vast majority of companies to develop their products, there are some more advanced concepts and practices that can make these tests more effective and accurate. We’ll run through the technical aspects of A/B testing, covering topics such as hypothesis testing, statistical significance, power analysis, and […]

A product analytics case study: using data to inform product development

This case study focuses on a photo and video sharing service, and the steps they took to develop their product with product analytics. The initial analysis was focused on identifying where the product was or wasn’t working. The team knew they were spending a lot on acquiring new customers, but their user base wasn’t growing […]

The ultimate guide to effective product analytics

Not long ago, the best way to witness firsthand how the general population interacted with your product was to assemble a random sample of potential users and stick them in a room while you observed from behind a two-way mirror. What is Product Analytics? As a process, product development has grown apart from digital analytics […]

Completing the modern data stack with Indicative

Global catastrophe has brought with it rapid change. Over the last 18 months, we’ve seen an acceleration in the number of companies adopting digital strategies, driven in large part by the most recent global pandemic. As Alex Dean, Snowplow’s CEO and Co-founder put it in 2020, “COVID-19 is accelerating a drive towards digital in many […]

Frictionless product analytics with Rakam

Product analytics has evolved at a rapid pace over the last ten years. With the arrival of tools like Amplitude, Mixpanel and others, product teams can quickly get data at their fingertips, enabling them to explore user behavior and identify areas for improvement. With little time to value, these tools make it simple to work […]

Building the single customer view: looking beyond web and mobile

Building a complete picture of your customer journey is difficult. Digital customer journeys are growing in complexity – likely made up of interactions across multiple channels from your website and app to chatbots, social media, marketing emails and offline channels such as call centers and TV ads. Even so, there is a real opportunity for […]

Exploring funnel-based product analytics with Snowplow

This article is intended to serve as an introduction to funnel based product analytics that is based on event level behavioural data. Below are some of the key metrics used in funnel analysis and recipes for SQL queries that can be used to generate them. This article is for anyone who is keen to explore […]

Track engaged visits the right way with the time spent metric

Media companies sell the engagement and attention of their audience yet the way it’s commonly measured is completely broken. Let’s look at the problem of measuring attention. More specifically the ‘time spent’ metric and explore some examples of media companies doing it well. Media companies trade in the attention of audiences. Audiences visit them—and hopefully […]

The product analyst toolkit

In our previous post on product analytics, Yali discussed the product development process and how data plays a crucial role at each step. While Yali’s post was focused on the processes and people necessary for building a highly effective product team, here we want to explore some of the tools that those teams use to […]

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