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Gain Exact Information about Your Clients, Enhance Your Marketing Results, and Achieve Business Growth


The Better You Know Your Clients, the Easier It Is to Retain Them

Acquiring a new customer will cost you 5 times more than retaining an old one - but do you know what it takes to retain a client?

Running promotions, marketing campaigns, and offering rewards is definitely a great start, but you’re still missing one vital element - specific customer profiles.

For example, do you know what time of the week certain clients like to shop? What they like to buy? Which one of your stores/restaurants they frequent the most?

After all, that’s the kind of info that can make or break your marketing campaign and loyalty programs.

Fortunately, Spoonity has got your back.

Retail & Restaurant Customers Loyalty Insights That Matter

Our platform can already provide you with reliable retail and restaurant analytics, that’s true. However, our Customer Insights add-on can offer you access to much more valuable data.

And since Spoonity links marketing automation to these analytics, you won’t have to put in too much effort to achieve success.

Full Customer Segmentation & Marketing Automation

Basically, thanks to our full integration with POS systems, data analysis processes, and automated marketing and decision-making processes based on bi-algorithms and automated recommendations, you can easily segment customers into:

  • High-Loyalty Clients
  • Medium-Loyalty Clients
  • Low-Loyalty Clients
  • No-Loyalty Clients

That’s not all, though. You’ll even be able to find out what percentage of your customers are likely to buy a certain product. For example, our high-end retail and restaurant analytics will tell you if a customer is more likely to purchase merchandise or just dine in/purchase groceries.

What’s more, this way, designing your loyalty program around consumer behaviors actually becomes a reality, as our platform will provide you with relevant retail and restaurant customers loyalty insights:

  • How active certain clients are with loyalty.
  • Who your most valuable, loyal, and profitable clients are.
  • Where certain customer segments like to shop.
  • What demographics define each segment (vital for marketing campaigns)
  • Which ones of your items are top-sellers.
  • Which clients purchase multiple SKUs
  • When specific customer segments like to shop (which day of the week, to be more specific)
  • And – most importantly – which clients you can actually grow.

Full Customer Segmentation & Marketing Automation

Based on all this data, Spoonity will actually segment your customers across 5 indices and show you how to approach each customer segment.

Essentially, you’ll find out what percentage each customer segment represents of your overall profit. Thus, you’ll know which one takes priority, and what your next action should be.

Furthermore, you’ll know exactly how much manpower and financial resources you have to dedicate to each segment.

From your most valuable clients (who you need to retain) and high-potential customers (who you should grow) to potential customers (the ones you must acquire) and lost/inactive clients (who you need to recover), you’ll gain access to the accurate, relevant data you need.

The 3 Main Pillars of Successful Loyalty Marketing for Restaurants & Retail

To offer you all this valuable data, Spoonity relies on 3 crucial techniques:

Analyzing Purchasing Behavior

Our platform determines which of your clients are more likely to purchase your products than others.

Loyalty Segmentation

Spoonity performs weekly calculations to find out which of your customers have become more loyal, and which ones have reduced their loyalty.

Determining Profitability

Spoonity will group your customers together based on their profit margin (above average, average, below average) on a monthly basis.

Building Up Customer Indexes

Here’s an example of the kind of information our platform pulls from our advanced retail and restaurant analytics in order to help you create customer indexes:


  • Customer Profitability
  • Loyalty Index
  • Cross-Selling Index
  • Customer Lifetime Value


  • Purchase Frequency
  • Demographics (Age, Gender, Generation)
  • Sale Volume
  • Average Number of Items
  • Recency (last time they made a purchase)


  • Decrease in Purchase Amount
  • Decrease in Purchase Frequency
  • Increase in Credit Card Debt Amount


  • Cross-Selling Levels
  • Loyalty Levels
  • Profitability Levels