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Success Story
Enhancing Swift Loans’ ability to provide fast easy Pay Day Loans with Salesforce
Swift Loan

Client Overview

Founded in 2013, Swift Loans is an Australian alternative lending company that provides an online platform for availing payday loans.

Key Objectives

  • Enable rapid capture, tracking and engagement of new leads for higher conversions. Offer Negotiated & Flexible Loans where needed.
  • Reducing processing times from lead submissions to extending loan.
  • Automate credit quality verifications and go paperless for processing personal loans.
  • Monetize leads by offering them for sale in the open marketplace.
  • Improve CX by effective communication with existing borrowers

“LendingLogik has been an incredible partner in transforming how we operate at Swift Loans. From automating our credit assessments to setting up seamless lead monetization and flexible loan options, they’ve helped us take our business to the next level. Thanks to them, we’re delivering faster, smoother experiences for our borrowers.”

Mark Hoskings
CEO at SwiftLoans

Salesforce Integrations

Solution Highlights

  • Set up integration with variety of lead partners to sell leads to open market and implemented a novel Sequential Selling Algorithm for higher rates/lead.
  • Integrated Salesforce with Credit Bureaus and Identity Verification services to automate underwriting.
  • Developed a novel Negotiation Engine to offer flexible funding options to applicants by pre-configured rules.
  • Implemented marketing journeys for an effective CX and measured the revenue of the marketing campaigns.
  • Used Twilio marketing automations to reach out to customers and also for retargeting them.

Value Delivered

  • Resulted in a frictionless consent-driven CX with credit assessment and identity verification.
  • Use of Salesforce LWC resulted in productivity improvement and seamless viewing of complex data.
  • Enabled SwitLoans to generates extra revenue by selling leads in the open marketplace.
  • Reduced document requirements and helped take credit actions on real time financial data, resulting in smooth borrower onboarding.
  • Improved Borrower-Lender relationships due to value added marketing automations.
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