How companies should collate, cross-reference & use information gathered from different channels
Tuesday, 20 December 2011
Written by Todd Scholl
It's easy to gather data. But how should companies best collate, cross-reference and use information gathered through different channels?
Like anything in life, what you get out of it depends on what you put into it. And gathering data to provide a personalized brand and shopping experience for consumers is no different.
The first step requires defining the breadth and depth of each customer—meaning the common identification of visitors by channel (web, mobile, call center, store, etc) and how they interact with each. This provides retailers with a unified representation of the data and allows them to better target market their consumer base. Next, incorporate the product catalog and respective SKUs by channel to further cross-reference your consumer profiles and then, prime the data with historical purchase history where applicable.
After your data foundation is built, maintain your process of collecting more consumer insight and determine where other attributes can be included, such as variables for navigation (time of day, geo-location) and catalog (brand, size, color, price).
Because consumer preferences are constantly evolving, the fresher the data the more relevant it is for making personalized product and content recommendations. How a consumer behaves while shopping on a retailer’s site is the most accurate indicator of their intent. Whether derived from a mobile app, email, in-store kiosk or website, it is important to recognize consumer preferences as they are revealed during the current shopping session before making suggestions.
Once a profile has been built on a consumer's behavior patterns and preferences, retailers can compare it to their current movement through the site to distinguish what's different about their current behavior from the previous shopping session. Combining business rules further enables merchandisers to harness the power of real-time behavioral profiling while maintaining control in defining their recommendation strategies.
Personalization is about allowing consumers to interact with an experience on their terms and to discover choices in the way that they think, not how a retailer wants them to think. By leveraging real-time cross-channel behavior, individualized historical profiling and dynamic merchandising, retailers should have the tools and data necessary to effectively engage with their consumers and deliver that optimal experience.
From ‘Searchandising & Recommendation’ – An Internet Retailing Special Report, November 2011