Case Studies
- Super Bowl XLVI
- Walmart
- Scholastic Store
- Olay
- Amazon
- OnlineShoes
- Lids
- Best Buy
- Back to Basics Toys
- SK-II
- Dell
- Shindigz
- Redskins Team Store Online
- Rhapsody Book Club
- Ingram Micro
- P&G eStore
- Lumens
- The Literary Guild
- History Book Club
- Northstyle
- CSN Stores
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- Philips
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- The Good Cook
- Shop Komen
- Doubleday Large Print
- Head and Shoulders
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- Home Style Books
- The Pyramid Collection
- Staples
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- American Prom
- Sears
- Vikings Fan Shop
- Science Fiction Book Club
- Expressions Catalog
- Nintendo
- Expert
- Quality Paperback Book Club
- Potpourri Gifts
- Nokia
- Crutchfield
- Military Book Club
- In the Company of Dogs
- Crafter's Choice
- Shepard Promotions
- Columbia House
- Back in the Saddle
- Catalog Favorites
- Woman's Day
- Pitney Bowes
- Nature's Jewelry
- SpiritLine
- Scientific American Book Club
- Serengeti
- Netgear
- Bluefish Wireless
- Book of the Month Club
- Crossings
- One Spirit
- Columbia House TV
- Country Store Catalog
- Dash Direct
- The Stitchery
- Mosaico
- Insightout Book Club
- Stumps
- Future Shop
- Doubleday
- HHGregg
- Children's Book of the Month Club
- Young Explorers
- Colts Pro Shop Online
- Scholastic COOL
- Energizer
- My Beauty Advisor
- The Teacher Store
- Pantene
More Studies from Shindigz
More Information
Since 1926, Shindigz has been America’s favorite place to purchase party supplies. Featuring 50,000 items, Shindigz is the most complete party supplies website on the Internet.
Shindigz: Website Recommendations, Email Recommendations, and Email Remarketing Messages
The Challenge
Planning a party can be overwhelming, especially with the myriad amount of themed favors, supplies, and decorations. Shindigz wanted a way to help customers find what they might be interested in, without having to look through thousands of party products.
The Solution
To make sure Shindigz customers received relevant, real-time recommendations, our engine chooses recommendation scenarios based on purchase correlations and product attributes. These scenarios are then personalized based on the current customer's purchase history and recent product views.


