Snowplow: Web analytics built for company growth
Snowplow exists for businesses that need more than surface-level metrics. At i-spark, we work with the tool when accuracy, scale, and long-term value truly matter.
Snowplow exists for businesses that need more than surface-level metrics. At i-spark, we work with the tool when accuracy, scale, and long-term value truly matter.
Snowplow does not force predefined events or schemas. This allows tracking to follow real user behaviour and product logic instead of being squeezed into generic event models.
The result is event data that answers product and behavioural questions without constant reinterpretation or workarounds.
Snowplow gives you control over how events, contexts and schemas are defined and versioned. Data lives in your environment, not inside a third-party interface.
This makes it easier to evolve tracking deliberately, audit changes and avoid surprises when product behaviour or requirements shift.
Because Snowplow separates tracking design from analysis, new questions can often be answered without changing the underlying implementation.
In this way, the need for repeated re-tracking as products, teams and use cases grow, and helps event data remain usable over time.
Which user behaviours actually drive conversion? Where do customers hesitate, return, or drop off? How do experiments, campaigns, and product changes perform over time?
Snowplow captures raw, event-level behavioural data, exactly as it happens, across web, apps, and products. Nothing aggregated. Nothing guessed.
Snowplow is a strong choice when:
-Your digital product or platform plays a central role in revenue
-You care about accuracy and long-term data value
-You want full ownership over behavioural data
-Your teams already think beyond pageviews and sessions
If quick plug-and-play reporting is the priority, simpler tools may suffice. If growth, experimentation, and product insight drive your strategy, Snowplow becomes a strategic asset.
Our support focuses on intent, structure and ownership, so tracking remains relevant.
We support the design of event names, contexts and schemas so tracking remains understandable over time. This makes it easier for stakeholders to interpret data without constant explanation.
Tracking is mapped back to concrete use cases such as product behaviour, funnel analysis or experimentation. We keep implementation driven by decisions.
We help connect it cleanly to your warehouse or composable data hub, ensuring event data fits alongside other sources.
Snowplow implementations fail quietly when no one owns them. We can help you clarify who is responsible for tracking changes, schema updates and long-term maintenance.
Products evolve, features change and questions shift. We help design Snowplow setups that can adapt without requiring constant rework or risky retroactive fixes.
We aim to choose what is right, even when it’s uncomfortable or unnoticed. i-spark takes ownership when something doesn’t go to plan.
We help you make deliberate choices early, so tracking stays useful instead of becoming a maintenance burden.
Our role is to help you move with speed and intent, turning commercial, operational, and time-related goals into real results.
The results? Efficient operations, better decision-making, and often a visible impact on your bottom line.
Questions we often hear about working with Snowplow.
Snowplow is used to collect detailed behavioural data from websites, apps, and digital products. It tracks user interactions as structured events that you fully control. This data supports product analysis, marketing measurement, experimentation, and advanced analytics.
Yes.
Snowplow provides the data foundation, not the visual layer. Dashboards remain essential for teams and leadership. The difference is that dashboards built on Snowplow are based on complete, consistent, and transparent data rather than simplified summaries.
Yes, especially when marketing performance needs to be measured beyond surface metrics. Snowplow supports more precise attribution, cross-session analysis, and long-term behavioural tracking. This helps marketing teams understand impact rather than just activity.
No. While Snowplow requires technical implementation, its value reaches far beyond engineering. Product managers, marketers, analysts, and leadership all benefit from access to reliable behavioural data. Our role is to make the data usable across teams.
Implementation complexity depends on your digital environment and objectives. A focused setup can be delivered quickly. More advanced use cases require thoughtful design. We guide the process step by step and avoid unnecessary complexity.
Snowplow data is stored in your own cloud data platform. This gives you full ownership, control, and compliance options. It also makes integration with other data sources straightforward.
If you would like, we stay involved beyond setup. We can help refine tracking, model data, support analysis, and translate insights into decisions. Snowplow works best as part of a living data strategy rather than a one-off project.
Explore how Snowplow can support your operations with an i-spark expert.