Snowplow is the foundation for capturing precise, event-level data — and at i-spark, we use it to give organisations a complete picture of how users behave across digital touchpoints.
We help teams implement Snowplow tracking architectures that are accurate, scalable, and tailored to your business goals — ensuring every click, view, and conversion is tracked with confidence.
From Raw Events to Reliable Data
Accurate analytics starts with clean collection. i-spark designs end-to-end Snowplow pipelines, from data capture and validation to transformation and storage.
We configure schemas, manage enrichment processes, and ensure your data lands in a structured, analytics-ready format. Whether your target destination is BigQuery, Redshift, or Snowflake, we make sure your event data is trustworthy and consistent.
Powering Deeper Behavioural Analytics
With Snowplow, we go beyond pageviews. We help you understand how users interact with your content, where they drop off, and what drives engagement.
By combining Snowplow with tools like dbt, Looker, and Hightouch, we turn raw behavioural data into models that power personalisation, campaign attribution, and predictive analytics.
Our goal: make behavioural data a strategic asset, not a technical burden.
Data Quality You Can Trust
We put a strong emphasis on data governance and reliability. From validation rules to monitoring and error handling, we ensure your tracking is robust and maintainable.
With well-documented events and transparent pipelines, your team can confidently use data for reporting, experimentation, or machine learning — knowing it’s complete and correct.
Work With i-spark
At i-spark, we see Snowplow as the heartbeat of modern analytics. We help you build clear, reliable, and scalable event data pipelines that connect real behaviour to real business value.