product recommendation engine
Vue.ai Personalization Engine
ClosetPilot
PrimeLister
Dynamic Yield
PosherVA
Pudding.ai
Algolia
DontPayFull
RetailMenot
Honey
Slickdeals.net
Dealspotr
Groupon
Coupons.com
CouponLab
Vue.ai’s Product recommendation engine tracks website shoppers' behaviour based on their user behaviour. We tracked their historical and live data and based on that we provide product recommendations to them. Every shopper should delight in getting an individualized shopper experience. personalized recommendations that convert 120% better.
Drive growth with personalized product recommendations. Make every customer feel special with 1:1 curated & personalized recommendations that convert 120% better.A personalized experience at every touchpoint. Delight every shopper with truly individualized shopper experiences and grow your revenue. Vue.ai’sProduct recommendation engine can provide personalized recommendations for every shopper across their journey on an eCommerce site.
DontPayFull is a multinational coupon business headquartered in Romania with a strong service presence in the United States, United Kingdom, Canada, and Australia. It provides free coupons and discount offers to consumers doing their shopping online.
Founders: The DontPayFull project was founded by Andrei Vasilescu and Adrian Cristea in 2012.
Employees: There are 27 full-time employees that work here and over 100 external collaborators that discover coupons and deals.
Clients: A few of the brands DontPayFull works with include Amazon, NewEgg, Macy's, Target, and Walmart.
Tools created: Amazon Discount Finder allows consumers to find coupons and discount offers directly from the Amazon website.
The affiliate networks that DontPayFull collaborates with for coupons and deals monetization are: CJ Affiliate, Rakuten Advertising, Awin, ShareASale, TradeDoubler AB, Skimlinks, VigLink, WebGains, Pepperjam, Impact Tech Inc., AvantLink, Performance Horizon Group Limited.
DontPayFull is a Corporate Member of the Performance Marketing Association since August 2016.
Media appearances: DontPayFull has appeared in publications such as MoneyPantry, DollarSprout, Well Kept Wallet, Yahoo! Finance, GoBanking Rates, and Reader's Digest.
product recommendation engine DontPayFullNo DontPayFull videos yet. You could help us improve this page by suggesting one.
I've used DontPayFull as well as TopCashBack a lot to save on the new year's sales. A lot of the deals work well.
I was able to find a coupon for the store I was shopping at and was able to save a significant amount of money on my purchase. I will definitely be using this website in the future and would recommend it to anyone looking for a way to save money on their online shopping.
Based on our record, product recommendation engine seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use Case I: Getting the Ensemble That Compliments the Product The shopper can view the curated looks and ensembles on the Product Detail Page (PDP) of each item. If an item is not available, the Vue.ai engine proposes a similar item: Use Case II: Recommend Complimentary Items The product recommendation engine also suggests complementary items to shoppers, based on their price preferences: Use Case III:... - Source: dev.to / over 2 years ago
The journey of understanding customer intent begins with the first click. For instance, a black cocktail dress could, in some sense, convey that the buyer is looking for an item for a specific occasion, with a specific length, colour, pattern or style. Integrating Visually Similar product recommendations (product recommendation engine)on the product page instantly opens up all possible black dresses a shopper can... Source: over 2 years ago
Product recommendation engine — Here’s a scenario for you: You’ve found the perfect “match” on Tinder, and want to make an impression on your first date. You want to start off by looking for a shirt and find one that you really like. So you click on it to look at its product detail page. Source: over 2 years ago
When shoppers use styling recommendations (product recommendation engine), they aren’t just buying clothes. They are buying a fashion story. Instead of buying just a red dress, your shopper is now going to be buying the dress, a clutch, a blazer, accessories, and heels that will make her feel ready from head to toe for the party she was shopping for. The entire outfit is also curated in a way that not only does... Source: over 2 years ago
Vue.ai Personalization Engine - Use the power to A.I. to build personalized shopping journeys for every shopper on your site - increasing conversions, engagement and reduce bounce rate.
RetailMenot - The RetailMeNot mobile app allows you to find deals on the go for both online shopping and in store shopping.
ClosetPilot - ClosetPilot lets you automatically share your closet, follow and unfollow users, and generate more sales on Poshmark
Honey - Honey is a browser extension that automatically finds and applies coupon codes at checkout with a single click.
PrimeLister - PrimeLister develops software that makes the lives of resellers easier. Poshmark Automation, Crosslisting, relisting. All solutions in one place.
Slickdeals.net - Slickdeals: The Best Deals, Coupons & Discounts on everything