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Increase Basket Size
Ensure more items per transaction.
Improve Customer Experience
Personalized approach improves interactions.
More traffic and sales from your best customers.
Profitect identifies which customers are optimal for the next tier of loyalty within the respective retail program. By targeting customers that have the greatest potential of spending with a higher tier of loyalty, Profitect leverages behavioral data analysis combined with machine learning and clustering, to prescribe actions on which customers you should be focused on driving into additional purchases to maintain that level of loyalty and/or improve it.
Profitect’s Marketing module reviews promotional execution by analyzing data such as advertising spend and promotion participation. Recommended actions measure which areas have effective participation with high advertising spend and which areas would see the most benefit from additional advertising focus by category, area, price, competition, etc.
With Profitect’s automatic clustering, households are grouped into specific behavior categories. When a specific household is about to drop out of their existing group, like a decline in visits, Profitect prescribes actions to prompt additional visits such as email campaigns and ads to those households with a specific message that would revert the trend and increase trips and loyalty.
Make Smarter Marketing Decisions
Profitect’s Marketing module uses automatic clustering and machine learning to compare your incoming marketing and loyalty data with customizable benchmarks at the consumer, product, and promotion level. The module helps you easily correlate spending habits with customer demographics, monitor promotion qualification, reach, and participation, quantify locations with low participation rates, as well as identify prime candidates for loyalty programs.
See How Profitect Drives Sales & Margin
Areas Profitect Analyzes
- Promotional Sales
- Basket Size
- Coupon use
- Type of loyalty card holder
- Age group
- Customer segments
- Comparison customers with and without loyalty
- Tokenized credit cards
- Demographic information