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Driving Precision: From Guesswork to Data-Driven Success
In an increasingly competitive automotive landscape, Toyota Turkey sought to turn uncertainty into opportunity.
The challenge? Accurately predict when and why customers would return for their next vehicle and unlock the secret to sustained loyalty in a market defined by ever-shifting preferences.
Traditionally, Toyota’s campaign strategies relied on rules and static segmentation. By moving beyond traditional rule-based campaigns and harnessing advanced machine learning, Toyota gained deep insight into customer motivations, achieved increase in campaign conversion rates, and set a new standard for targeted, data-driven marketing across every channel.
Measurable Impact: Setting a New Benchmark
Toyota’s journey wasn’t just about incremental gains
it redefined what’s achievable with data-driven marketing and sales.
Here’s how real transformation looks:
71%
Increase in Campaign Conversion Rates
7x
Increase in Purchase Rates for Targeted Campaigns
Challenge
Despite Toyota’s strong market presence, traditional rule-based campaign strategies made it difficult to pinpoint which customers were most likely to buy a new vehicle—and why. Sales and call center teams struggled to identify high-potential buyers, resulting in lower conversion rates, increased marketing costs, and missed opportunities for customer engagement.
Without a deeper understanding of what truly drives customer loyalty, campaigns remained generic and ineffective, limiting their impact across all channels.
Solution
To address these challenges, Toyota launched the “Vehicle Purchase Prediction Model” project in collaboration with GTech. Using advanced machine learning algorithms, the team developed models that analyzed customer data from multiple channels—taking into account sales history and key factors influencing repeat purchases. The CRISP-DM methodology was applied throughout, guiding the process from data understanding and preparation to modeling and evaluation.
As a result, Toyota was able to deliver more accurate predictions of which customers were likely to buy a vehicle in the coming month, enabling highly targeted, personalized marketing campaigns. The project also replaced manual, rule-based analysis with automated, data-driven processes—optimizing campaign effectiveness, increasing conversion rates, and establishing a stronger culture of data-driven decision making within the company.
Transforming Data into Strategic Advantage
Toyota embarked on its very first analytics-powered transformation
a bold initiative to harness advanced machine learning and predictive modeling.
Next-Gen Predictive Modeling
Sophisticated machine learning algorithms analyzed vast, multi-channel data to identify exactly which customers were most likely to purchase, and when.
Actionable Customer Insights
For the first time, Toyota could pinpoint the key factors driving loyalty and repeat sales—enabling truly personalized marketing, every time.
Seamless Integration
Data from every customer touchpoint was unified to fuel accurate, agile decision-making across sales and marketing.
Process Automation
The entire targeting and segmentation workflow was automated, empowering teams to do more with less and focus on what matters: real results.
CRISP-DM Methodology
Our rigorous approach ensured every step—data exploration, preparation, modeling, and evaluation—delivered actionable business value.
Proven Business Impact
Campaign conversion rates increased by 71%, purchase rates in targeted segments grew sevenfold, and marketing and operational costs were significantly reduced.