Do your customers make repeat purchases and how often? What additional products do they purchase, at the same time or on a different purchase occasion? Discover your shopper profiles and start creating real marketing campaigns to reward them.
Did you sell to more customers this week or did you increase the price and sell less products? Maybe the customers that came into store spent more? Traditionally these measures have been hard to track, but with access to your loyalty data now you can truly understand the drivers behind your growth or decline.
Optimise your promotions. Find who bought a product on sale and what drivers of sales growth were up. Did customers buy additional products in store or stick with the promoted item?
Making best use of your loyalty data through 11Ants enables optimal customer segmentation and superior customer targeting. Target customers based on their previous purchases, the stores they visit, how often they buy. Find your best customers – those that spend the most and those that visit the most.
Knowing what products are frequently purchased together leads to better informed decisions on cross sell items. Track your upsell strategies and find out if they worked.
Do they only ever buy products on discount? What did they buy last week? Where do they shop? How can you contact them?
Use this module to identify customers and build micro-segments and highly targeted campaign lists based upon specific purchase behaviours.
You can select customers based on:
Powerful features include:
Use this module to understand when products are selling:
Some example use cases:
Use this module to understand how customers shop your category to optimize your planogram (i.e., if customers select on pack size before brand then arrange a planogram by pack size rather than by brand).
This module should also be used as the first point of a range review to understand how a customer looks at your categories to make:
The module also allows you to select a view based on complementary vs substitutable products to understand cross-sell relationships within your category.
Use this module to identify the impact of specific activities on a product and where the spend was transferred to or came from.
Answer questions such as:
This module will algorithmically predict both genuine stock outs and phantom stock outs. Export to Excel for sorting and distribution. The module has a merchandise view and a operations/logistics view.
This module provides clarity as to which behavioural drivers to target to achieve our objectives through a revenue or gross profit lens.
Rapidly answer traditionally difficult and time consuming questions such as:
This module can be used both strategically and tactically, analysis can be applied to any of the following:
Rapidly build “what if” forecasts to easily model complex behavioural scenarios
Powerful features include: