Application analytics
Session Quality Diagnostics
Separate real engagement shifts from tracking artefacts caused by SDK upgrades, timezone drift, or identity stitching changes.
₩3,450,000 · 3-week study
Session length, return rates, and early-action charts move for reasons that have nothing to do with feature quality. An SDK bump, a KST-vs-UTC calendar mismatch, or a new anonymous-to-known merge can redraw every cohort overnight.
This study rebuilds session and cohort definitions from raw history, checks identity continuity, and tests which early behaviours still predict returning users once artefacts are removed.
You receive a shortlist of behaviours worth protecting, a list of artefacts to stop treating as insight, and analyst notes your team can maintain.
Typically included
- Session and cohort rebuild
- Identity continuity checks
- Behaviour predictor shortlist
- Analyst handoff notes