Increase Engagement levels across channels
The insight provided by the customer analytics data can be used to engage customers through relevant messaging. A unique interaction with every customer can be triggered on the basis of past customer behavior trends, purchase behavior, marketing priorities, etc. An effective omni-channel strategy engages customers with the right offers at the right time. Customers can be engaged on their smartphones with personalized offers and recommendations in the form of notifications.
Extend the overall basket value during real and virtual footfall
Tickto customer analytics offers behavioral insights about customers which can be used to increase their overall basket value per visit across different platforms. Identifying the customers' price sensitivity behavior and their underlying product adoption propensities are the key. This will enable retailers to drive sale by incorporating dynamic pricing strategies and by sending customized offers to their customers respectively.
Expand Cross Category and Cross Brand Purchases
Identify customer purchase behavior and their lifestyles across various stages with the insights provided by the consumer behavior analytics data. Make use of these insights to increase the overall cross category / cross brand purchases by expanding range category, brand penetration and by accelerating new product adoption.
Reduce churn rate and regain customer loyalty
Predict the customers that are likely to churn by recognizing their disengagement levels. The determination of the right mix of offers along with the correct channel strategies can help in re-engaging these customers, thereby reducing the chances of churn and regaining customer loyalty.
Tickto Customer Analytics 'HIGHLIGHTS'
Increasing revenue by classifying customers into homogenous groups on the basis of historical data and demographics.
Propensity of Campaigns:
Enhancing the overall effectiveness of campaigns Market Basket Analysis: Analyse the influx of in-store information and identify product affinities easily.
Determine premium customers by examining the recency, frequency and expenditure levels of a customer purchase.
Churn Rate Prediction:
Identify the customers with the probability of churn and retain them with relevant and targeted offers.
Understand the best deals to offer to customers with the help of collaborative filtering technique.
Identify the customer's proximity to the store for triggering relevant offers and promotion on their smartphones.
- Related offerings
- Our resources
Increase shopper engagement by creating an immediate impact.
Catapulting Retail Marketing to a whole new level
Converging the digital and physical worlds in retail
Comprehensive Insights enhancing Merchandising Effectiveness
Analyze & Visualize Data for Informed Decision Making
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