With 11Ants you can answer questions in real time during meetings and planning sessions and explore further questions as they arise.
Stay on top of the latest insights with updated modules that use the leading edge research in retail data analytics.
Identify areas of greatest benefit to the business quickly and easily. Empowering you to be proactive rather than reactive.
Create customised regular weekly analysis that can be run by your staff with less technical ability and provide a consistency of reporting across the business.
Introduce more customer science and customer-driven information into insights.
Save and run your favourite reports to easily keep track of your key metrics – weekly unit sales, price changes, customer visits, basket sizes etc. Over 40 retail KPIs can be tracked.
Identify your most and least valuable customers and set objectives for them.
Understand when customers purchase your products – by time and day of week.
Visualize products, categories, stores, regions, promotions, customers or customer segments in a BCG style four quadrant matrix.
Create multi faceted customer segments with this invaluable and flexible tool.
What decisions do customers make when they shop a category? What products can be substituted?
Rank your products, categories, stores, regions, promotions, customers or customer segments by 50+ retail KPIs.
An in depth look at what changes if a product is delisted, a new product introduced or a product was promoted.
An illustrative view highlighting the drivers of growth and decline. Understand not just what happened, but why.
Understand the impact of promotions on the promoted items, the category and the entire store shop.
What products bring in the most/least revenue? Does delisting this product impact on a certain customer?
An interactive summary of 50+ retail category KPIs. Drill down each department to find the information you need at a SKU level.
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:
Describe:
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: