Case Study: Rendez‑Vous quantifies online influence on offline purchases (ROPO) and optimizes ad spend with OWOX

Rendez Vous - Customer Case Study

Rendez‑Vous, a footwear and accessories retailer with 90 brick‑and‑mortar shops plus an online store, needed to quantify how online activity influenced in‑store purchases (the ROPO effect) to reallocate marketing budgets and reassess channel efficiency. Because website behavior lived in Google Analytics and offline orders in a 1C/CRM system, Rendez‑Vous turned to OWOX—using OWOX BI Pipeline (and OWOX BI Attribution) to unify online and offline data in Google BigQuery for ROPO analysis.

OWOX implemented a pipeline that ingested Google Analytics and CRM/1C data into BigQuery, joined sessions and orders via user_ID and transaction_ID, and delivered automated Google Data Studio dashboards. As a result, OWOX showed that 20% of offline revenue could be attributed to online advertising, revealed that online campaigns had been underrated, and gave Rendez‑Vous a dynamic reporting system to inform budget reallocation and drive increased digital investment.

Rendez Vous

Helena Chekhovskaya

Director of E-commerce