Routine response on their bill size.
Extensive decision making on each visit.
Attention base on Impulsive buying.
Purchase base on social events.
Customer visit base on weekly, monthly, quarterly.
Drop out customers Analysis.
Customer retention measures.
Customer loyalty performance increase or decline.
Unpredictable demand spike
Product in in high demand based on location.
Product mix purchase by location.
Event or marketing promotion based performance.
Customer purchase once in 3 to 6 months
Number of customer compliances vs customer back out.
Customer feed back analysis (NPS)
Customer services analysis (Internal)
Customer segment based on promo influence
Offer base customer sales performance.
Effective or no effective promotion/discounts.
Discount/offer schemes footfall and conversion.
Promo margin analysis.
Fashion or style change analysis based on movies, social events, etc.
Impact on the customer behavior when demand increase.
Forecasting based on future events demand.
Forecasting based on change in demand due to season, weather, economy, uncer-tain events.
Data is everything, when looking into data everyone have their different prospective related to there skill and understanding but the data speak beyond. Fabi Analytics dig in data to see all kind of information.Sign up for Free Demo