Marketing Personalization
With accurate pricing, Otocash.com attracts not only customers who are genuinely interested in selling their cars but also those who are only looking for pricing information. This created the company’s key challenge: separating the wheat from the chaff. “Much like a shop employee might guess if a customer is likely to make a purchase or what they might buy, we needed a system to make accurate predictions,” notes Eryaz. “We also wanted to better understand and segment our customers with the aim of crafting specialized campaigns for different segments.”
Reported impact
Azure Automated Machine Learning streamlined the process, allowing us to quickly choose the appropriate model from hundreds by simply uploading an output table into the system.” Better targeting, rising sales Otocash.com quickly saw improvements in customer targeting, boosting sales. “Overall, the project led to a 20-percent increase in customer conversion rates.
Otocash.com used Microsoft Dynamics 365, Microsoft Azure to personalize customer engagement across channels. With accurate pricing, Otocash.com attracts not only customers who are genuinely interested in selling their cars but also those who are only looking for pricing information. This created the company’s key challenge: separating the wheat from the chaff. “Much like a shop employee might guess if a customer is likely to make a purchase or what they might buy, we needed a system to make accurate predictions,” notes Eryaz. “We also wanted to better understand and segment our customers with the aim of crafting specialized campaigns for different segments.”. Key implementation elements included Microsoft Dynamics 365 provides the common business process layer that standardizes operations; Microsoft Azure hosts the application, data, and integrations on scalable cloud infrastructure. Source metrics include As a result, the project boosted customer conversion rates by 20 percent and...
As a result, the project boosted customer conversion rates by 20 percent and improved sales offer efficiency by 30 percent.
Azure Automated Machine Learning streamlined the process, allowing us to quickly choose the appropriate model from hundreds by simply uploading an output table into the system.” Better targeting, rising sales Otocash.com quickly saw improvements in customer targeting, boosting sales. “Overall, the project led to a 20-percent increase in customer conversion rates.
By allocating the marketing budget to a more specific audience, the company recorded a 14 percent rise in vehicle purchases despite a challenging period in the market.
With accurate pricing, Otocash.com attracts not only customers who are genuinely interested in selling their cars but also those who are only looking for pricing information. This created the company’s key challenge: separating the wheat from the chaff. “Much like a shop employee might guess if a customer is likely to make a purchase or what they might buy, we needed a system to make accurate predictions,” notes Eryaz. “We also wanted to better understand and segment our customers with the aim of crafting specialized campaigns for different segments.”
“We also wanted to better understand and segment our customers with the aim of crafting specialized campaigns for different segments.” As a platform hosted on Microsoft Azure from day one, Otocash.com didn’t look far for a solution.
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LinkedIn's Organization JSON-LD lists streetAddress 'Ertuğrul Gazi Sokak', addressLocality 'Ataşehir', addressRegion 'İstanbul', addressCountry 'TR', numberOfEmployees value 10, and sameAs 'https://www.otocash.com'.
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