Quandl launches exclusive Tesla demographics dataset
Quandl's new product can predict Tesla's sales performance and can aid investors to determine whether Tesla is on track to meet its goals.
New data product allows users to track Tesla sales in real-time before manufacturer data is released and also reveals demographic data about Tesla buyers.
Quandl, the leading provider of alternative data launched an exclusive dataset that allows investors to track weekly Tesla sales in real-time, along with demographic data about Tesla buyers. The new dataset can be used to predict the outcome of Tesla’s promise to fulfil more than 400,000 Model 3 pre-orders by 2018.
Quandl has partnered with leading auto insurance providers who together command a statistically significant share of the US auto insurance market to formulate this unique dataset. Unlike existing datasets based on VIN numbers, which can be registered before cars are produced, Quandl's data is based on cars already delivered to customers. With a customer base that includes the world’s top hedge funds, asset managers and investment banks, Quandl delivers financial, economic and alternative data to over 250,000 analysts worldwide.
“Investors are clamouring to know whether Tesla will meet their production targets,” said Tammer Kamel, CEO of Quandl. “Our exclusive partnerships with auto insurance providers power the answer to that question. We want our clients to be the first to know whether or not Tesla is on track to meet its goals.”
Industry analysts are not convinced that Tesla will meet its target, but the degree by which they will miss is a subject of great debate. Quandl’s dataset can help investors determine Tesla's progress ahead of analysts, estimates and production reports.
The weekly data history for this dataset goes back to 2012 and has never previously been made available. Data is available at a granular level for all Tesla models (Model 3, Model S and Model X) and at an aggregate level. It also includes customer demographic attributes, such as gender, age and location.
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