Capture customer data

Use Cases

Capture visitor data

Being able to capture, visualize, and understand data is key to identifying and understanding your customers.

Use custom registration forms to collect the data you want

Collect the data you want

Custom fields help you get the information you need

Custom field log in forms enable you to capture any data you wish, allowing you to create the best possible customer profile for your business. Users must complete a form with contact information before accessing the WiFi, by asking for customer details a value exchange takes place. The customer gets WiFi access and you get the information you need to be able to market back to them and encourage repeat business and increase spend per visit.

Social sign-in options for a quick login method

Social log-in

Allow customers to log-on to the WiFi using their social media profiles

Social media log-in allows you to capture richer and more detailed data such as social interests, date of birth, gender and more. This allows you to build accurate customer profiles, helping you to truly understand your customers which can then be used to influence your marketing and communications strategy.

How to gather visitor feedback

Put the data where want

Seamless integration with leading CRM and mailing platforms

Simply and quickly pull together new mailing lists using the data captured as and when new customers log into your WiFi. Our integrations will collect data such as first name, last name, email address and other key demographics, allowing you to create personalized marketing campaigns.

Ready to find out more?

Book a demo with one of our Indoor Location Services experts.

What do our customers say?

One of our customers, a leading casual dining brand attributes a $5 value on each customer CRM record. Over a 12 month period, they were able to add 1 million records to their CRM using Purple data. In effect, this has generated $5 million worth of data. They have used this data to market back to customers to increase recency and frequency of visits and therefore spend per customer. 

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