Snowplow vs. Google Analytics
A 2023 report by technology research company, GigaOm, found that Snowplow is:
“Google Analytics 4 has bugs, cardinality issues, thresholding problems, confusing delineation between client-side and vendor-side processing, a clumsy BigQuery export schema, misleading advocates, an opaque approach to privacy, and a huge identity problem. […] Don’t let absurd limitations bully you into submission.”
Simo Ahava | Thought Leader
Top 5 reasons to choose Snowplow over GA
1st-party cookies live longer
While GA tracking is limited to 7 days, Snowplow tracking circumvents ITP restrictions so you can track for up to 2 years. This means you get more data on Apple, Mozilla and other users to build a complete customer journey and avoid incomplete data sets.
Compliance first means future security
Snowplow has always championed a compliance-first approach with private SaaS deployment and respect for customer privacy, including PII pseudonymization and cookieless or anonymous tracking. This allows you to future-proof your data stack and avoid unexpected costs or reputational damage in the future.
Power more real-time use cases
Real-time stream data from Snowplow lands within 2-5 seconds and we guarantee delivery to the warehouse within a strict SLA of 30 minutes. Ultra-low latency data allows you to create dynamic use cases, such as real-time personalization and recommendations.
Warehouse-first data connects all touchpoints
Snowplow data lands in a unified event stream, a log of all the actions that have occurred across your digital platforms. You can create a cross-device and multi-platform view of customer journeys for every department by pulling in data from multiple sources.
Unparalleled data richness answers more questions
Snowplow offers 130+ out-of-the-box properties captured with every event. You have access to limitless drill-down options for your analytics to uncover new trends. With richer data, you simply have more answers to more questions and better fuel for AI and BI use cases.
Technical issues with Google Analytics
There’s a reason for GA’s wide adoption: your data is wrapped in a UI with familiar metrics. Despite this convenient familiarity, data teams find that the software presents many issues when they push for more advanced, warehouse-first analytics. These issues push many companies to look for Google Analytics alternatives.
We’ve detailed some of these below: