Event taxonomies
Shared naming conventions and an event catalog so product, marketing, and data describe the same action the same way.
Bad instrumentation is expensive in a quiet way: the same action counted under three names, drop-offs you cannot explain, and every new tool a fresh rebuild. Brainforge designs the taxonomy and tracking plan once, then audits what is already live.
In plain terms
Where teams get stuck
The same action is tracked under three different event names.
Product and marketing data arrive unclean, so nobody trusts it.
A new tool gets installed and the event plan is rebuilt from scratch.
We cannot tell whether a drop-off is a product problem or a tracking problem.
What we deliver
Shared naming conventions and an event catalog so product, marketing, and data describe the same action the same way.
Event specifications mapped to customer milestones, with the metadata each team needs designed in.
A current-state review that finds duplicates, gaps, and overlaps before anything new is added.
How deep it goes
The same delivery primitives (context, controls, and review) show up across every engagement.
A shared language for events so every tool counts the same action the same way.
Event specifications tied to the journeys the business cares about.
Finding what is duplicated, missing, or misleading before it spreads.
Making the plan real across the tools that actually collect the data.
What changes
Common questions
We inventory the events, pages, and rules currently live, find duplicates and overlaps, and check whether they map to the journeys the business cares about. The output is a plan, not just a list of problems.
A shared taxonomy is what makes data comparable across teams and tools. Without it, every new integration counts the same action differently and reporting drifts apart again.
Yes. We map customer milestones to events, define naming and metadata, and document the plan so product, marketing, and data teams implement to the same specification.
Yes. We audit the tools you already have, including Pendo, Segment, and product analytics platforms, and recommend fixes before adding anything new.
It depends on the state of what is live. A focused audit and plan often resolves the most damaging duplicates and gaps first, with cleanup sequenced from there.
How we work
We inventory existing events, rules, and overlaps so the plan starts from reality, not a blank page.
We map milestones to events and agree naming and metadata across teams.
We align the plan across tools, validate the data, and document it so it stays consistent.
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