Case Study

Boosting credit sales with customer targeting

Helping a leading Turkish bank increase response rates for revolving and installment credit using advanced data analysis

Finance

The problem

A leading Turkish bank wanted to increase sales of installment and revolving credit for SME customers. They needed a smarter, data-driven approach to target the right businesses and improve response rates.

Optimizing SME customer outreach

Traditional marketing methods weren’t delivering the desired response rates for SME credit products. The bank wanted to leverage AI-driven insights to refine targeting, improve engagement, and maximize sales efficiency.

Using AI to drive personalized marketing

Our goal was to enhance customer segmentation by analyzing response data and identifying patterns that improved targeting accuracy—ensuring that marketing efforts reached the most likely buyers.

Our solution

We developed an AI-powered targeting system that analyzed response patterns, enabling the bank to refine its SME credit marketing strategy and achieve higher conversion rates across web browsers, iOS, and Android.

AI-driven segmentation and targeting

Our system processed customer transaction data, engagement history, and financial behaviors to identify businesses most likely to respond to installment and revolving credit offers.

Optimizing response rate modeling

By testing different response rates (1% and 10%), we fine-tuned the AI system to adjust predictions based on various marketing contexts, allowing for greater flexibility and adaptability in future campaigns.

Data-driven campaign improvements

Insights from the AI model allowed the bank to prioritize high-value SME prospects, ensuring that marketing resources were focused on businesses with the highest likelihood of conversion.

Results

revolving credit response rate (2% increase in top 1% of customers)

installment credit response rate (1.5% increase in top 1% of customers)

By refining targeting strategies with AI, the bank significantly improved SME response rates for both revolving and installment credit offers. Higher engagement in top customer segments translated to stronger sales performance and better campaign efficiency.

Before AI, the bank’s marketing campaigns achieved lower engagement rates, leading to missed opportunities and inefficient spend. With AI-powered customer segmentation and response modeling, the bank increased response rates in its top-performing segments while optimizing marketing spend.

With a 7% response rate for revolving credit and 6% for installment credit, this AI-driven approach proved its value in identifying high-potential customers—allowing the bank to refine future marketing strategies for even better results.