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Industry
Perfumes
Location
Chicago, IL
Tags
A/B TESTING
DIGITAL ANALYTICS
SHOPIFY
GOOGLE TAG MANAGER
GOOGLE OPTIMIZE
ENHANCED ECOMMERCE
Key Impact
Avatria used data and machine learning to personalize the site's browse and search experience.
+61%
Product Revenue
THE CHALLENGE
Fix a flawed analytics implementation and improve revenue-generating KPIs.
Prior to engaging Avatria, La Belle Perfumes was using Shopify's native Google Analytics Enhanced Ecommerce tracking, which was collecting flawed data and making it virtually impossible for them to measure and improve their KPIs. Key barriers to resolution included:
Many similar products with minor differentiation
Minimal site search usage
Large number of product categories
High number of new visitors (>80%)
PROJECT DETAILS
Avatria helped La Belle Perfumes properly implement Enhanced Ecommerce tagging via theme updates and Google Tag Manager.
As part of the initiative, Avatria also installed Google Optimize and set up an A/B test of rankings created by Avatria's Machine Learning technology.
Avatria's rankings were then applied to the site's "Featured" sort order on all collections via our Shopify integration.
The Solution
As part of this initiative, Avatria installed Google Optimize and set up an A/B test of our Machine Learning solution's rankings:
- A/B Test Platform: Google Optimize
- Test Duration: 28 days
- Categories Tested: 370
- Control Variant: Shopify Best Selling Sort
RESULTS
In addition to the metrics listed below, the Avatria solution outperformed the control group in 9 other metrics including: Revenue Per Impression , List Conversion Rate , Product List Clicks , Product Detail Views , Product Checkouts , Cart-to-View Rate , Checkout-to-View Rate , and Buy-to-Detail Rate
+33%
Unique Purchases
+61%
Product Revenue
+39%
Adds to Cart
100%
Customer Satisfaction
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