Customer Behavior Analytics for Merchandisers

GET more customers, KEEP customers coming back, and GROW volumes and margins!

With Quantivo, you can now uncover the behavioral patterns that enable you to optimize your merchandising, from knowing the best cross-sells and placement to optimal timing and offers. Target your merchandising, both in-store and online, to customer segments that have proven to have the highest conversion, resulting in higher revenues and margins.

Unlike other analytics and BI solutions, only Quantivo:

• Calculates an affinity value that tells you what behaviors occur together, and which don't, enabling you to feature the right products and combinations in the right places that have proven to be effective.
• Provides a comprehensive view of customer behavior based on multiple data sources - combining data from your e-commerce and POS systems for example.
• Analyzes patterns and behavior over time, not just what happened in a single sale, and frequency such as how often a customer purchases something or visits your online store.
• Delivers results so fast that you can immediately ask the obvious follow-up question that gets you closer to the insight you need; we call it "train of thought" speed.

Quantivo applications for merchandisers include:

	Cross-Channel Analytics Discover shopping and browsing patterns across your retail channels - online, brick-and-mortar, and catalog - to understand how activities in one channel may lead to purchase, or abandonment, in another.
	Marketing Effectiveness Optimize marketing strategies and tactics by identifying the most effective campaigns and how customers respond and react to various messages, offers, and discount levels.
	Merchandise Planning Understand what sells with what and to whom, and use that knowledge to improve stocking, layouts, and buying strategies.
	Promotion Effectiveness Focus promotions by understanding customer response behavior across segments, channels, and categories, and exploit that impact on market baskets, sales, and margins.
	Purchase Analytics Discover the patterns within purchases, from market basket analysis to longitudinal purchases to the most profitable geographies and store layouts, and leverage their relationships to customer segments.