Watchfinder clocks 1300% ROI using precision Remarketing with Google Analytics
Customer Company Size
Mid-size Company
Region
- Europe
Country
- United Kingdom
Product
- Google Analytics
Tech Stack
- Google Display Network
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
Services
- Data Science Services
About The Customer
Watchfinder is a leading UK retailer of premium, pre-owned watches. The company was founded in 2002 as an online-only store selling watches from more than 80 premier manufacturers. Today, it has an annual turnover of £25 million and has recently opened a flagship boutique in the London Royal Exchange. The average order value on Watchfinder’s site is over £3,500, and the company found that buying decisions often took time, often spanning weeks or months.
The Challenge
Watchfinder, a leading UK retailer of premium, pre-owned watches, was facing a challenge in re-engaging its site visitors who showed interest in their products but did not make a purchase. The company found that buying decisions often took time, spanning weeks or months, with less than 1% of visitors completing purchases on their first site visit. In addition to driving customers back to its site, Watchfinder also wanted to encourage customers to visit its new physical boutique in the London Royal Exchange.
The Solution
Watchfinder's agency, Periscopix, suggested Remarketing with Google Analytics as a solution to reconnect with users. They created 20 highly focused lists of visitors who demonstrated intent but did not purchase, based on various aspects of user context such as location, language, and what stage of the purchase funnel they were in. On-site behavior helped establish groups that had spent a certain amount of time on the site or had viewed a certain number of pages. Other lists were created around users who had viewed a specific watch brand on the site. Google Analytics’ functionality enabled Periscopix to convey tailored messages to these key groups of interested consumers.
Operational Impact
Quantitative Benefit
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