ARC Customer Analytics

Customer data has long been touted as a key determinant in better merchandising decisions; however it is an asset most retailers have struggled to use to its maximum potential. ARC Customer Analytics provides you with the critical platform you need to leverage retail customer loyalty data, sales transaction data, and store data to improve merchandise planning and tactics.

ARC Customer Analytics helps substantially in deriving retail marketing analytics insights. These marketing analytics insights in turn help the organizations to analyze important business determinants like Consumer Insights, Market Basket Analysis, RFM Analysis, Loyalty Analytics, etc.

ARC Customer Analytics unveils hidden relationships between your customer, product and store data sets. These deep and significant insights help you implement key emerging practices such as consumer-centric merchandising, store-specific assortments and micro-merchandising.

ARC Customer Analytics provides retail customer analytic capabilities for various marketing and merchandising roles, such as:

  • Promotions managers
  • Loyalty program managers
  • Campaign managers
  • Heads of marketing and merchandising
  • Merchandise and assortment planners

You'll find that ARC Customer Analytics answers key questions across areas like:

Promotion Performance

  • Analyses plan vs. achievement across key metrics in pre-promotion, during and post-promotion periods

Campaign Effectiveness

  • Once a campaign is launched its effectiveness can be studied across different media and in terms of costs and benefits

Loyalty Analytics

  • Provides consumer insights, and forecasts on retention, churn and acquisition of trends across segments

RFM Analysis

  • Identifies your company's best customers based on Recency, Frequency and Monetary Value

And More…

  • Which customer segments are the most profitable?
  • Which prospects should my campaign target?
  • How should I direct my finite media budget?
  • When should I communicate with a customer, and how?
  • Which customers should I spend money on retaining?
  • To which customers should I cross-sell, and what products?