Our customer is a global Fintech company providing a Buy Now, Pay Later (BNPL) payment platform to retailers by offering consumers an installment payment method. Operating in a highly competitive industry that is expected to grow by 41.7% on an annual basis in 2021, they wanted to optimize their onboarding workflow to reduce friction for good customers and block fraudulent and high risk applicants early in the onboarding funnel.
How This Global Buy Now, Pay Later Company Optimized Their Customer Experience While Blocking Fraud
Increase your thin file customers with Account Opening API
Customers have hundreds of choices for their banking needs — and once they choose, they aren’t likely to switch. This makes capturing customers early key to achieving revenue goals. While the latest Global Findex Database (2021) emphasizes the need for more work to be done to include the 1.4B people worldwide who remain unbanked, one […]
Probabilistic Identity Matching in Customer Experience Management
Here at Ekata we offer what is called a probabilistic approach to risk with identity verification. This is different from traditional methods, which are more deterministic. The advantage to using a probabilistic solution is one of scale, speed, and cost. Deterministic risk approaches are not only costly, but can result in poor customer experiences and […]
How Customer Outcomes Data Powers Customer Success
What is customer outcomes data? At its most simple level, a customer outcome is the result of knowing if a query to Ekata was associated with a “good” or “bad” event related to fraud that the customer might face. For example, if an ecommerce customer queries Ekata on transactional orders within their fraud decisioning workflow, […]
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