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 Many gaming operators still rely on outdated customer verification methods by asking customers to email or fax copies of ID documents at point of registration, deposit or payout.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