This document will continue to evolve as existing sections change and new information is added. All updates appear in the following table:
| Date |
What's Changed |
Notes |
|---|---|---|
| 24 AUG 2017 |
Initial Document Creation. |
This guide outlines the information you need to know about new or improved functionality in this release.
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Oracle Adaptive Intelligent Offers Cloud Service
Oracle Adaptive Intelligent Offers provides personalized, dynamic, and continuously adaptive offers across B2C marketing and commerce platforms. It delivers the product recommendations and promotions through e-commerce storefronts and marketing channels.
Product Recommendations and Promotions
Deliver contextual recommendations that continuously adapt to consumer responses to make your consumers feel known and understood in their interactions across all channels. Bundled 3rd-party data combines with your 1st-party data and real-time user actions to provide context, enabling the decision science algorithms to deliver highly personalized and compelling recommendations. Consumers can receive the offers in emails and other marketing channels, or see them anywhere on your commerce site.
Set policies for minimum product price, minimum product inventory, and brand exclusivity rules to control which products are offered. Manually adjust the frequency of product recommendations and promotions using boosts and constraints, for example to reduce inventory or increase visibility of a new product line. You can boost and constrain at a category, brand, or individual product level. You can also stop offer delivery for certain products or promotions.
Evaluate offer performance by reviewing summary statistics about who received and responded to offers. Metrics tracked include: who received offers, clicked offers, added recommended products to their carts, purchased recommended products, and used recommended promotions. You can see demographic data from Oracle Data Cloud about people who purchased recommended products or used recommended promotions. Perform lift analysis to do a controlled evaluation of product recommendations. Lift analysis involves restricting intelligent offers to a proportion of your site visitors. Then you can compare the clicks, cart-additions, and purchases of the offer group with those of the remaining control group.
Widget and Email Configuration
Add the ready-to-go widgets to your commerce site to display offers in hero images or carousels on your main page, product detail pages, checkout pages, or anywhere else on the site. Edit the widget code if required to apply your house style, or to fit different areas of your pages. To display offers in emails, format and generate a single image incorporating a graphic, price, name, and any other details. You have complete control of the layout, font, alignment, and so on. You can preview the image before exporting it to embed in your emails. Recommendations in emails are updated and served in real time so consumers get the freshest, most up-to-date content.
Connect your commerce application to enable:
- Loading of consumer profiles, product catalogs, promotions, and order events, and hourly updates of this information
- Real-time ingestion of clickstreams, including views, cart additions, and purchases
Integration is predefined for Oracle Commerce Cloud and Oracle Commerce Platform. For other commerce systems, you can use the extensive REST API to import products, product categories, brands, consumers, orders and order lines, and promotions.
Respect privacy rights and provenance with different data treatments by geography, when applicable. All consumer data is anonymized and secured in Oracle Cloud. Consumers can opt out from click tracking or from Oracle Data Cloud anonymous data collection.
Assign users to the Merchandiser role or the Operations Manager role to control which pages and features they can access. You can manage users in Oracle Identity Cloud Service.
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