Application analytics for product teams who need behavioral signal they can trust—without drowning in unused charts.
Begin with taxonomyWhen tracking exists but decisions still stall, we start by rebuilding the event language your app speaks.
We inventory what your application fires today, rewrite names and properties against the questions your team asks every Monday, and hand engineering a prioritized fix list. You leave with signal that survives the next roadmap—not a schema nobody opens.
Scoped after a short discovery call. Prices on service pages are informational only—no checkout on this site.
Trace the first meaningful session, locate where new users stall, and propose a short list of product experiments.
Cohort analysis that explains who returns, who fades, and which moments correlate with lasting use.
A lean weekly and monthly reporting rhythm so insights arrive when decisions are made.
Notes from product and analytics leads who needed clearer behavioral signal.
They rebuilt our event dictionary in three weeks. For the first time, growth and engineering argued from the same numbers.
The activation study showed we were fixing the wrong screen. Two experiments later, first-week return finally moved.
No vanity metric theater. The reporting pack is short enough that leadership actually reads it every Monday.
We work with Korea product orgs and remote engineering partners. Prefer a conversation before a proposal— request a readout.
