ATG Commerce Affinity Selling
Capability Overview
The affinity selling capability in ATG Commerce lets you make automated, dynamic
and personalized product recommendations to your online customers, factoring
not just each customer's purchase history, but also his or her market
segment, into your process. Pre-built reports help you to analyze success and
refine recommendations throughout the shopping experience.
Business Benefits
Affinity selling helps you increase conversions and order size by making your
cross-sell and up-sell product recommendations more relevant to each online
customer, and by directing customers to these items more quickly and easily.
It also drives operational efficiencies and helps focus your merchandising efforts.
![[Affinity Selling Image]](/en/products/images/affinity-selling.gif)
With ATG's affinity selling capability, e-sellers can make recommendations not just based on past purchases, but based on past purchases made by others in a customer's market segment.
Key Features
- Automatically present the ideal cross-sells for each purchased item, drawing upon historical purchase affinities for each customer segment, as maintained in the ATG data warehouse.
- Automate the collection and classification of product affinities by leveraging
the database infrastructure and reporting capabilities of ATG Customer Intelligence.
This includes: collecting and scoring product-to-product affinities across
time, product categories, and prices.
- Track and rank product affinities using your customer segments. Unlike other
product recommendation engines such as collaborative filtering, affinity selling
does not assign customers to pre-defined segments. Rather, it works with the
segments that you have defined, enabling you to take into account factors
beyond product purchases. This greatly reduces the irrelevant recommendations
often suggested by other engines.
- Analyze and refine affinities across products, categories, and segments
through comprehensive, pre-built reports. ATG's reports highlight affinity
rankings based on frequency and time, and capture units and dollars delivered.
They also provide trend data to identify growing or declining product pairs,
as well as access to related sales data outside the scope of affinity recommendations.