Swift - Invisible authentication

Swift is a ML solution focused on getting more customers converted after a free trial.   

If you are offering a digital product or service, you probably want to allow your users to try it before paying. Free trials are a common tool used to make it easier for visitors to start using your product (and progress in your marketing funnel), make sure they have the best experience possible (the famous ‘A-ha’ moment) and then focus on turning them into paying users.

There's a debate and challenge around getting the right users to start a free trial. You want to focus your efforts around the ones that have real intentions of trying it and a will to purchase it. Those have better chances of becoming paying customers. You can choose to allow many users to try  out. Or narrow it to users that show more intention or capability of paying by asking them for more details and a payment method.

If you choose to ask for a payment method upon registration, you have another decision to make. Letting all of the users that shared the payment details with you to try the product, or making sure that the payment method will be such that you will be able to charge when needed.

This is where Swift comes in. 

We help you identify users by their intention and ability to become paying customers.
Our ML model works in a two levels: 

1. Conversion level - identify the chances to become a paying customer, right at registration, without the need of charging the card. Sifting only the users that there is very little chances you will be able to charge. 
2. Action level - And it doesn't stop there - in case Swift identifies users with low chances of becoming paying customers, we will also identify the right action that will generate the most engagement needed to turn them into paying customers.

As always, we believe that the right user journey optimizes not just your user experience, but also your business KPIs:

User Experience

Swift allows you to authenticate your users without charging their card. This will create a better experience for these good users that otherwise would’ve seen a charge on their card, which results in a bad experience and cancellation of their trial.

User Acquisition

Swift allows you to be more accurate and only block users that have low chances of conversion. ^{Rule based approach often leads to over-blocking}. This will result in bad user experience, and a larger marketing spend - as you will need to make these customers come back and give you another chance.

Revenue

Our action based approach allows you to turn customers with card issues into converted, paying users. This will generate more revenue even in cases that would’ve resulted in an abandoned user and lost marketing spend.  

LTV

Understand your customers' LTV potential right at sign up. Attach the right action to each customer based on their payments profile, which will increase their engagement and your revenue.