Case Study: OZON achieves 1.5-hour post-release web-metrics testing time savings with OWOX

How not to Ruin All Your Web Metrics and Save 1.5 Burden Hours after Every New Release

OZON, one of Russia’s largest online retailers, faced repeated disruptions to its analytics each time the site was updated: manual verification of dataLayer parameters and Google Analytics tracking after every release was slow (0.15–2 hours per release), error-prone and risked breaking existing metrics. The company engaged OWOX (OWOX BI) to automate web-metric testing and get a complete, reliable overview of marketing performance.

OWOX implemented a three-stage automated testing solution—cataloging required dimensions/metrics in Google Sheets, running a script that simulates user actions and validates dataLayer → Google Analytics mappings, and storing results in Google BigQuery with dashboards in Data Studio and automated daily error emails. As a result OZON now runs daily tests, eliminated much manual regression work, uncovered about 2,700 deficiencies across 37 page types, and saves roughly 1.5 burden hours after each new release thanks to the OWOX solution.

OZON

Yan Charniy

Project Manager