Consumer buying behavior depend on various factors, among them: demographics, price sensitivity, location and personal tastes. Sales and profitability depend on the consumer’s behavior towards promotions, pricing and assortments.
SEGMENTOR™ lets you understand consumer behavior in order to improve customer engagement and increase revenues by optimum promotional activity, cross-selling, up-selling, and customer care.
SEGMENTOR™ is customer insight made easy through a set of sophisticated mathematical algorithms that classify consumers by a multitude of criteria, including enriched social demographic data, customer periodical purchase behavior, Segment switching and:
Price Sensitivity: Understanding which consumers do not mind paying an extra for products provides retailer leverage. ANALYTIKA deploys predictive modelsthat determine the price sensitivity of each and every customer.
Life-Cycle: This segmentation allows retailers to have a share of wallet estimation.
Additionally, life cycle is an opportunity to how much purchase potential have their customers.
R-F-M-L: Recency, Frequency, Monetary Value and Latency & Churn are key metrics to understand customer value. Additionally, they can predict what consumers are near to stop buying and decide what customer they should retain and how.
An alarm is gone off when an abandon KPI level is reached.
Additionaly, segmentations can be crossed with other segments for more accurate sub-segments.
SEGMENTOR™ responds to these questions (among others).
1. How many customers, volume, sales and number of transactions per segment do I have, for:
2. How many customers, sales, etc I have increased / decreased per segment from an initial period to a final period?
3. Which of my best customers is at a high risk of churning?
SEGMENTOR™ is a SaaS (Software as a Service) application, so it requires no user installation, software and mathematical models management. Once information is uploaded, simulations begin and results displayed. Contact us for a free demo >