Customer Insight

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Robust Customer Health Measurement

Reporting & Analytics

By understanding your customers, you can personalize their experiences with your brand. Index software captures each customer’s shopping history and evolving preferences across channels, building a real-time, unified customer profile. We combine this data with machine learning to uncover trends and predict behavior, enabling you to improve marketing strategies and increase the lifetime value of each customer.

What Are My Same-Customer Sales?

Success starts and ends with customers, but how many shop once and never return? Same-customer sales can be a powerful indicator of customer health. Look at YOY revenue growth to see how much of 2015 revenue came from customers who shopped in 2014. Get more granular and look at how much of this month’s revenue came from customers who shopped last month. When allocating funds between new customer acquisition and existing customer loyalty, use these insights to guide your marketing strategy.
New vs. Returning Customers
Weekly Trends

Which Customers Contribute Most to my Revenue?

Segment customers into groups to see who contributes most to your revenue.

Lifetime Value
Loyalty Tiers
New vs. Returning
Frequency
Product Affinity
Store Affinity

How Often Do My Customers Shop?

See how many times customers visit each store, and filter into segments to find trends across your customer base. How often did jean buyers shop last month? What about customers that bought over 15 items? Find potential “at-risk” customers and run campaigns to bring them back to store.

How Often Do My Customers Shop?

See how many times customers visit each store, and filter into segments to find trends across your customer base. How often did jean buyers shop last month? What about customers that bought over 15 items? Find potential “at-risk” customers and run campaigns to bring them back to store.

Who Are My High Potential, Low Performing Customers?

Low performing, high potential customers take many different forms: they visit frequently but only buy a couple of items each trip and/or only buy items on sale; they shop full price but only make it in twice a year; they come in for coffee or lunch but never do their full shopping and never buy dinner; they buy pants but have never purchased shoes. These low performing, high potential customers are not shopping to their full potential—identify who they are and give them an incentive to break out of their routine and comfort zone.
Increase Share of Wallet
Increase Frequency & Average Spend

Integrate Loyalty

Evaluate the health of your loyalty program—track loyalty signup, segment customers based on tier or point-status, look at trends over time, measure the impact of marketing campaigns, and more.

Integrate Loyalty

Evaluate the health of your loyalty program—track loyalty signup, segment customers based on tier or point-status, look at trends over time, measure the impact of marketing campaigns, and more.

Translate Insights to Your Stores

With a deeper understanding of your customers, you can better run your stores and your business:
Customer Segments Per Store See how many primary, frequent or occasional shoppers each store has (and how this changes over time).
Store Affinity & Cannibalism Discover how all your stores affect each other.
Department Performance & Product Affinity Find out how popular different products are across stores.
Store Affinity & Cannibalism
Next Customer Database Solution
Your Customer Database
Create and grow a powerful online and offline customer database, built around a unique and stable account for every customer and more contact data for more customers.