iGB Intelligence reports Jumio-IGB Abandonment in Gaming White Paper | Page 17
Working with Jumio to
deliver quicker registration
and ID check processes
Jumio’s computer vision technology has been proven to speed up the
customer experience at point of customer sign-up, deposit or payout to reduce
abandonment and churn. It’s too expensive to acquire customers only to lose
them due to time-consuming and unfriendly business processes.
Many gaming operators still rely on outdated customer verification methods by
asking customers to email or fax copies of ID documents at point of registration,
deposit or payout. This is not only inconvenient for your customer; it also breaks
the transaction momentum, which results in significant drop-off and customer
dissatisfaction.
Jumio’s approach is different and has been specifically developed to meet the
challenge of how to verify identity in a connected-device environment. We use
computer vision technology to validate, extract and auto-populate data from
ID documents and payment cards so that registration, deposit and payout
transactions are quicker and more secure.
point of registration,
BAM
is instantly and
1 Atdeposit
2 Jumio’s
3 Data
or payout
Checkout is integrated
neatly populated
gamblers simply hold
their payment card
and/or ID document
up to their mobile
device camera or
webcam.
into the gambling site
or app and instantly
extracts payment
data, customer name
and date of birth, and
if present, address
data too.
into the registration
or deposit fields
increasing signups and reducing
abandoned
registrations.
complete
4 Customers
registration and
deposit in seconds
instead of minutes,
resulting in higher
conversion rates.
+10% uplift
Conversion Rate %
5
Traditional
Key Entry
Anonymised client data
“
We’re seeing more and more gaming operators across Europe use
customer verification tools like Jumio, not just to tick regulatory boxes
but also to improve the customer experience.
Clive Hawkswood, CEO at the Remote Gaming Association.
”
Mobile gaming registration and deposit abandonment benchmarking study
17