case study

NIRA

Instant loan app that provides low interest instant loans. The company builds financial empowerment by offering customers products that are transparent, respectful, and easy to use.

25%
Reduced ad waste
68%
Increase in Approval Rate
92%
CPA Decrease
Vatic AI

Campaign Goal

  • Increase Loan Approval Rate by serving ads to qualified users within the advertisers' target demographics.
  • Increase numbers of registered users and loan disbursements while reducing CPA.

Challenge

  • Due to the large number of competitors in the instant loan app market, the company is facing challenges in expanding its market share and reaching the right audience in a consistent and cost-effective way.
  • This has caused wasted advertising spend, as well as low traffic quality and increasing Cost per App Installs, Loan Applications and Disbursements.

Solutions

  • Create custom user segments based on the user personas with the highest likelihood for loan sign ups and loan approval. This includes high intent keywords related to auto loans, travel loans, home renovation loans, etc, as well as utilising our predictive credit worthiness solution to pre qualify our audience at the top of the funnel. 
  • Secondly, Qscore identified 50+ competitors' apps and websites and created custom segments based on users who had installed competitor apps or visited the competitors' websites. This audience was integrated with our custom segments to increase our reach and engage a large population of pre-qualified potential borrowers.

Result

These two solutions have helped the company to significantly increase the number of loans approved and ultimately disbursed, whilst reducing customer acquisition costs.

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