Presentación de Erik Brieva en su ponencia en la 13a Festibity

1. © Strands Inc. 2015
STRANDS RETAIL

2. © Strands Inc. 2015
Trillions of Customer & Product “Events”
Happen Every Day in Online Retail
Most of these Customer & Product Events Contain Hidden Patterns and Relationships

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Processing Millions of Customer & Product Events Every Day
Home page
view
Category page
view
Product page
view
Multiple
Product Views
Product Clicks
Add-to-Cart
Events
Cart
Abandonment
Events
Multiple Item
Cart Additions
Purchases
Product
Bounces
Products
viewed next
Product price
Brands Viewed
Most Often
Email Opens
Total Cart Size
per Customer
STRANDS Analyzes and Understands every “Event” in Retail…

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And from this Big Data,
STRANDS Detects Relationships & Patterns Between Customers and Products
STRANDS Understands The Big Data of People & Products

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• When a customer looks at Product A, they also tend to show interest in
Products B, C, and D
• Customers who spent €25- €50 on their last visit will tend to spend €80 -
€100 on their next visit
• For a product @ €500, conversion is 2%, but for a similar product @ €549,
conversion is 3% (= 65% increase in revenue/customer)
Examples of Big Data patterns
STRANDS produces and takes action on every day

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STRANDS SECRET SAUCE:
OUR BIG DATA ALGORITHMS ENABLE US TO…
SHOW THE RIGHT PRODUCT
TO THE RIGHT CUSTOMER
WITH THE RIGHT PRICE
AT THE RIGHT TIME
STRANDS Increases Conversion 4X and Revenue 20%
Average Performance from Actual Strands Customers Report

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Data Taken from Actual Strands Client Performance Report
Case Study: e-market of natural products

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Case Study: zooming windows

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Case Study: e-commerce of consumer electronics goods

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Case Study: supermarket online shop

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A/B test to compare the logics
for a home page widget:
A: widget logic based on
returning the most visited
items.
B: widget logic based on
STRANDS user-to-item
personalization algorithm.
The results show that STRANDS user-to-item personalization algorithm provides better results
in clickthrough than a bare popularity-based algorithm.
A/B Testing
Example 1

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A/B test to compare the logics
for a product page widget:
A: widget showing greenlisted
products. That is, a marketing
manager at Giggle has
provided a list of handpicked
products to recommend for
each product page.
B: widget logic based on
STRANDS item-to-item
algorithm. The algorithm has
been configured for cross-
selling purposes.
The results show that STRANDS item-to-item personalization algorithm provides better results
in click-through than a list of items handpicked by a marketing manager for each case.
A/B Testing
Example 2

13. © Strands Inc. 2015