Loyalty Card Data: Best Loyalty Card Datasets & Databases

What is Loyalty Card Data?

Loyalty card data is information regarding sales and purchases made using different loyalty cards for supermarkets and retailers. It also provides information about the loyalty card owner. The data covers information related to product discounts offered to customers, coupons, rewards coins towards stock or some other reward in exchange for their willful participation in the loyalty card program. Loyalty card data helps retailers know customer’s behavior and then develop strategies by targeting advertising and organising products to encourage sale.

How is Loyalty Card Data collected?

Retailers can collect loyalty card data by purchasing customer data from third-party POS (point of sale) data providers. These third-party firms amass information from a variety of specialists to create “profiles” of people with information about purchase habits, patterns and personality. This helps retailers to know all the information about purchases made by customers, which products are the bestselling and trendy in the market, which type of offer/sales schemes will attract new customers.

What are the attributes of Loyalty Card Data?

Here are the two major attributes of loyalty card data:

1. Customer loyalty card data: Customer loyalty data tells information about customers who make regular purchases with a store, the physical gifts and gift vouchers that are given to customers, the tangible and non-tangible gifts offered to customers as incentive to shop with the business again.

2. Referral loyalty card data: This data tells information about the purchases made from loyalty cards by new customers through referrals from the existing customer base.

What is Loyalty Card Data used for?

As a form of POS data, loyalty card data is used by anyone who wants to analyze consumer spending. Loyalty card data is used to:

1. Grow the business, draw new customers and re-engage and preserve current customers.
2. Plan schemes and offers for loyalty card holders.
3. To create a competitive advantage for the company against its competitors.
4. To provide a better, more relevant experience to the user every purchase.
5. To forms a true spirit of partnership between the business and the customer.

How can a user assess the quality of Loyalty Card Data?

Here are some ways in which you can measure the quality of loyalty card data:

• Completeness: Completeness relates to how well a loyalty card dataset is populated. Datasets with missing data points are lower quality.
• Timeliness: Timeliness refers to the historical coverage and recency of your loyalty card data. Some users will need loyalty card with years of data points, other users will only need the most up-to-data intelligence, so would find a real-time loyalty card data feed most useful.

  How can I get Loyalty Card Data?

  You can get Loyalty Card Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Loyalty Card Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Loyalty Card Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Loyalty Card Data?

Loyalty Card Data is similar to Credit Card Transaction Data, Point-of-Sale (POS) Data, Consumer Transaction Data, Debit Card Transaction Data, and Bank Transaction Data. These data categories are commonly used for Marketing and Purchase Intelligence.

What are the most common use cases for Loyalty Card Data?

The top use cases for Loyalty Card Data are Marketing, Purchase Intelligence, and purchase behavior analytics.