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
- Black Expressions
- Philips
- Whatever Works
- The Good Cook
- Shop Komen
- Doubleday Large Print
- Head and Shoulders
- Dungarees
- Home Style Books
- The Pyramid Collection
- Staples
- Mystery Guild
- 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 American Prom
More Information
A part of the Shindigz companies, American Prom is one of America’s favorite retailers for prom supplies. From coast to coast, they’ve played a pivotal role in transforming millions of special events from ordinary to extraordinary.
American Prom: Website Recommendations, Email Recommendations, and Email Remarketing Messages
The Challenge
Prom is considered a right of passage and it can be stressful on its own. When coupled with the task of putting together a prom theme, including decorations and favors, customers can be easily overwhelmed by the number of items and options available.
The Solution
To relieve some of the stress prom planners face, iGoDigital's recommendation scenarios are chosen based on purchase correlations and product attributes, while personalizing the results based on the current customer's purchase history and recent product views.


