Customer Behavior Analytics for Retailers and Retail Merchandising

GET more customers, KEEP customers buying, and GROW sales and margins!

With Quantivo, you can finally uncover the customer behavior patterns within the mountains of POS, loyalty, and online data that you collect! Quantivo turns purchase, transaction, and loyalty data into insights that empower merchandisers, marketers, and store operations to get more customers, keep those customers spending, and grow profits.

Unlike other analytics and BI solutions, only Quantivo:

• Calculates an affinity value that tells you what behaviors occur together across channels, and which don't, enabling you to suggest products and offers based on what has proven to be effective.
• Provides a comprehensive view of customer behavior based on multiple data sources - combining data from your website and retail POS system for example.
• Analyzes patterns and behavior over time, not just what happened in a single visit, and frequency such as how often a customer purchases something or views a particular web page.
• 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 retail include:

	CRM Analytics Discover which interactions and channels result in conversions, purchases, returns, and support calls, and learn to predict and guide the desired behaviors.
	Cross-Channel Analytics Understand shopping habits across your retail channels - online, in-store, and catalog - to discover how activities in one channel may lead to purchase, or abandonment, in another.
	Loyalty Analytics Uncover the attributes that make customers loyal, how their market baskets differ, and what works best to acquire, retain, and keep those customers active.
	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.
	Web Analytics Uncover factors that impact online behavior, traffic patterns, and shopping cart abandonment rates, and identify which content drives more traffic, more clicks, and more sales.