Discover who your customers are and how they shop
SMI’s store journeys data mines your customers to get insights on how purchase decisions are made during the shopping journey and what conditions trigger a customer choice.
By accurately analyzing shopping behavior patterns across zones, you discover valuable information on who your customer are, their interests and opportunities to better engage them.
How it Works
SMI’s graphical interface shows shopping patterns across zones and paths that end in a purchase. AI algorithms groups customers by the combination of zones and departments which are frequently shopped.
You are now able to engage customers along their purchase path. For example, if family shoppers never visit the organic foods section, you can promote offers when their path intersects that zone.
Set up marketing events that send messages at specific points along the purchase path and that can influence shoppers to shop more zones, resulting in larger baskets and more spend.
Discover purchase journeys and how your customers make decisions
Get visibility on what zones influence a purchase with path flow analytics on the shopper journey from zone to zone
Data mine and uncover associated categories (zones) linked to shopper segments (which zones did a group shopper come from, to which zones does that shopper group go to next)
Predict which zones influence a purchase or visit to a zone including service areas, changing rooms and cash desk
Access real time path flow and shopping behavior analytics
Analytics that graphically represent shopper path flows and identifies triggers contributing to a purchase or lost sale
Purchase decisions mapped by sequence and importance to each customer type, for example how does the purchase path differ between new customers and your most frequent/valuable ones
Cross shopping analysis by interest segmentation that shows path flows by customers grouped by the types of products they shop.
Create targeted merchandise and communication plans by customer segments
For each customer segment, view which zones work together to create a shopping journey and convert into sales
Identify cross shopping opportunities for better promoting products to segments that are not shopping areas that they should be interested in
Adapt merchandise plans and displays to increase activity in under shopped zones in order to attract valuable customer segments
Know your customers, their interests and opportunities to grow lifetime value
Get visibility into your customers, who they are and their interests based on visits and the product zones they shop
Combine shopping data with purchase data using SMI’s customer insight app to see which segments are shopping products but not buying them
Develop and execute a strategy to grow each customer’s value to your business by talking to them about the products they shop