Lenovo Is Using Syntasa to Score Purchasing Intent and Target Web Visitors Most Likely to Convert

As the world’s largest PC vendor and the third largest smartphone manufacturer in the world, Lenovo is a global technology leader in providing innovative consumer, commercial, and enterprise technologies. To stay on top, Lenovo’s CEO has recently vowed to transform online sales and bring in $12 billion in annual revenue within the next three years. Lenovo executives have approached its Global Business Intelligence team to identify ways to increase online sales, and they quickly found that Syntasa allows them to achieve business outcomes more quickly. 

In this case study, discover how the Business Intelligence team at Lenovo is scoring purchasing intent and building algorithmic models for retargeting. Results included. 

“Syntasa has been instrumental for attribution modeling, by taking complex datasets from various sources and making them actionable through customized machine learning algorithms.” -Tushar Mukherjee, Head of Global Ecommerce Analytics at Lenovo

“Syntasa’s platform puts the business critical problem at the center. The pipeline, scheduling, and predictive capabilities are fit for real marketing use cases, but are flexible enough to prep difficult data and apply special transformations. With Syntasa, I am able to run experiments and focus on the insights, without spending hours coding a solution.” -Meagan Gentry, Former Data Scientist/Business Analyst at Lenovo 

Lenovo Case Study (Syntasa)

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As the leader in AI Assisted Customer Analytics, Syntasa is helping enterprises generate real-time, actionable customer insight to enhance the customer experience and drive conversions. Syntasa's software can be installed on-premise, allowing the enterprise to integrate individual-level clickstream data with sensitive enterprise data. By leveraging open-source technologies, Syntasa seamlessly fits in the new enterprise big data analytics ecosystem and provides easy-to-use behavioral analytics applications which significantly reduce time-to-value. The company is headquartered in the Washington, DC metropolitan area with an office in London.