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 Lids
More Information
Lids/Hat World Inc., comprised of more than 800 mall-based, airport, street level and factory outlet stores, is recognized as a specialty retail leader of officially licensed and branded athletic fashion headwear. Hat World sells over 50,000 assorted hats so helping customers discover products that match their specific tastes and interests can be a challenge.
Lids: Website Recommendations, Email Recommendations, and Email Remarketing Messages
The Challenge
There are countless options when shopping for fashion headwear and licensed apparel including team, color, style, fit, and brand.
The Solution
Our personalized product recommendation software examines a customer's click history, as well as their previous purchase interests in order to determine which characteristics are most important to their current shopping experience. This information is collected and used to personalize the products recommended to them.
