Analytics

Event naming conventions that prevent analytics chaos

snake_case vs camelCase wars destroy warehouses. We enforce object_action format and a shared constants package.

Veloria AnalyticsMay 26, 20255 min read
EventsNamingTaxonomyGovernance
Event naming conventions that prevent analytics chaos

Key takeaways

  • 01

    Convention beats documentation — automate linting where possible.

  • 02

    Renaming events is expensive; get naming right before scale.

  • 03

    One constants package is the cheapest cross-platform sync tool.

event naming conventions is one of the questions we hear most from product and engineering teams in 2026. The gap between a polished demo and a production system is where most projects stall.

We've shipped this across Flutter apps, SaaS backends, and analytics stacks for startups and enterprises. Here's what works, what breaks, and how we approach it on real client projects.

What matters in practice

For event naming conventions that prevent analytics chaos, the details that look optional in a slide deck become blockers in week six of a build. We standardize patterns early so teams don't reinvent the wheel on every sprint.

  • Pattern: object_action (cart_add_item, not addToCart or AddToCart)
  • Past tense for completed actions; present only for impressions
  • Max 40 characters — warehouse column limits are real
  • Shared constants repo imported by Flutter, React, and Node

Common pitfalls we see

Teams often move fast on the happy path and skip instrumentation, error handling, or review gates. That works for a hackathon — not for an app with paying users and compliance requirements.

We bake in logging, fallbacks, and explicit ownership before launch. The extra day upfront saves a week of firefighting after release.

The bottom line

Treat event naming conventions as part of your product architecture, not a side task. When it's designed in from discovery — with clear metrics and maintainable code — your team ships faster and sleeps better after launch.

About the author

Veloria Analytics

Data & Product Analytics

We implement Firebase, PostHog, MoEngage, and GA4 instrumentation — turning product events into dashboards teams actually use.

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