Retail Marketing

Retail Marketing

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Advance marketing strategies with ROI at every step

Consumer behavior is changing faster than retail organizations can adapt. E-commerce, social media, aggressive couponing and price transparency have created an environment where it can be difficult to determine which technology investments will be able to scale and adapt over time.

"Coupons normally had a response rate of 1 percent or 2 percent. With eValues, as many as 20 percent to 30 percent of...

FICO retail marketing solutions leverage a nimble, scalable framework that allows our clients to advance in the areas that will have the most impact. Our clients achieve business results by adopting an iterative approach to improving their marketing performance.

For retailers with customer-centricity at the core of their strategy, FICO analytics are unparalleled in their ability to pinpoint exactly what a customer will purchase next, and determine the right mix of marketing messages, channels and incentives to drive purchase behavior.

Today, one-third of the top 100 US retailers rely upon FICO to build high-value relationships with their customers, with stellar results:

  • Stunning improvement in coupon redemption rates for a top-10 US retailer.
  • 8.4% increase in same-store sales for a big-box retailer.

FICO's retail marketing solutions can help retailers:

  • Identify what customers are most likely to purchase and when, and respond to advanced propensity models.
  • Centralize the management of policies and strategies that impact customer marketing treatments.
  • Readily adopt new channels, such as mobile, while ensuring that pricing, promotions and policies are consistent.
  • Understand a customer's sensitivity to discounts, enabling the move from a mass-promotion to a strategic discount model, resulting in improved margin.
  • Identify what customers will purchase next – and at what point in time.
  • Increase customer response rates to drive incremental purchases.
  • Anticipate the best action to take to drive repeat customer visits and purchases through predictive modeling.
  • Build loyalty through customer-centric product recommendations.
  • Enable optimal use of trade funds in marketing programs, maximizing retailer objectives while meeting manufacturer commitments.