Why event data matters in product analytics
Event data captures the actions and interactions users have with a product over time. From button clicks and page views to error events and feature usage, every timestamped event tells a story about user behavior. Axiom’s platform is specifically designed to process and analyze these granular datasets, making it an indispensable tool for product teams aiming to do the following:- Understand user behavior: By tracking and analyzing event streams, Axiom provides a clear picture of how users engage with your product.
- Identify trends and patterns: Time-series analysis reveals emerging trends, helping teams anticipate user needs and adjust strategies proactively.
- Optimize product features: Pinpoint which features drive the most value and identify friction points that need improvement.
Key features of Axiom for product analytics
The following key features make Axiom perfect for product analytics:-
Real-time event monitoring: Axiom’s ability to ingest and process data in real-time means you can monitor user activity as it happens. This empowers product managers to act quickly in response to anomalies or unexpected usage patterns, reducing downtime and improving user satisfaction. For example:
- Track whether feature flags are toggling as expected.
- Watch for broken signup flows or onboarding drop-offs immediately after a deploy.
- Monitor if newly launched features are generating engagement.
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Unified data platform: Axiom eliminates data silos by integrating event data from diverse sources into a single, cohesive platform. Axiom stores system telemetry alongside product analytics data. This eliminates the traditional separation between “user behavior” tools and “engineering” tools, and this convergence unlocks powerful debugging and insight scenarios:
- Correlate frontend feature usage with backend latency.
- View conversion funnel stages alongside HTTP error logs.
- Link user drop-off to infrastructure anomalies.
- Advanced query capabilities: With a robust query language, Axiom enables product teams to dive deep into data analysis. Perform detailed segmentation, drill down into specific user journeys, and uncover insights that would otherwise remain hidden.
- Custom dashboards and visualizations: Intuitive dashboards and customizable visualizations make it easy for product managers to communicate insights to stakeholders. Axiom’s visual tools enhance collaboration and decision-making.
- Scalable infrastructure: As your product grows, so does the volume of event data. Axiom’s architecture is built to scale effortlessly, ensuring that your analytics remain robust and reliable, even with massive datasets.
Standard patterns for product data: Segment compatibility
Axiom supports event ingestion via widely adopted patterns such as the Segment specification:identify
associates events with known users.track
records user interactions like button clicks or page views.group
associates users with organizations or accounts.
How Axiom receives Segment events
To send Segment data to Axiom:- Create an HTTP destionation in Axiom.
- Add a webhook destination in Segment. For more information, see the Segment documentation.
event
, userId
, traits
, properties
, and _time
(automatically inferred or provided). No custom transformation is required. Segment’s default schema maps naturally into Axiom’s JSON ingestion pipeline.
After sending events to Axiom, query them using APL. For example, to count “Button Clicked” events per user by hour: