How Cefinn boosted customer acquisition whilst elevating their online experience with Harper.
Elisa Cridford
eCommerce Manager, Cefinn
Harper has helped us to elevate our online experience whilst improving key eCommerce metrics including Average Transaction Value and Conversion Rate.
Objective
In 2022, Cefinn partnered with Harper to provide an elevated Try Before You Buy experience, aiming to enhance the online shopping journey and increase online sales. The goal was to bring a luxurious, in-store level of service to their digital customers, reducing the friction of online purchases and making the process seamless and risk-free.
Implementation
Cefinn use Shopify which resulted in a fast and low-effort launch using Harper’s snippet. The core snippet was installed on a call with Cefinn’s eCommerce manager with the front-end messaging added by their development agency. The total integration took 1 day of development effort with the service launching within 6 weeks of contract signing.
Services
Harper powers two services for Cefinn:
- A luxury Concierge Service designed to elevate the online experience and grow Customer Lifetime Value by allowing customers to choose a selection of items to be delivered by a brand-trained sales associate.
- A frictionless Try for 5 days service designed to support new customer acquisition by removing the barrier of upfront payment without understanding the brand’s sizing, fit or quality.
Results
The service has received high engagement and now accounts for 15% of total eCommerce sales whilst meeting the service objectives of:
- Customer Acquisition: 62% of customers using the service are new customers with a 5% increase in conversion rate.
- Elevated Experience: 86 Net Promoter Score meeting the criteria for a “world class customer experience” rating.
- CLTV Growth: 32% increase in ATV when customers use concierge service and a 6% increase in sitewide UPT since launching Try for 5.
- Accelerated Returns: 2x faster returns with a less than 1% increase in sitewide return rate.
How did the implementation look like
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