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VerifiedTechnology; Information and Internet· Founded 2015

Datatist, Inc

It is a big data era. Every company tries to rely on big data to gain clear insights about business performance, find wise business directions, capture important business opportunities, understand better customers' behaviors, and target on right customers. To make big data function work, at least you'll need talent web engineer to set up data tracking, data engineer to build data infrastructure, data administrator to create and manage data structure, data analyst to report and analyze data, and data scientist to predict or optimize performance. It is such an expensive investment. Work with us, we will make your big data dream become true without investing big data team. Our B2B big data solutions and products aim to optimize and lift Internet+ clients' business performance, especially to make smart marketing. The heavy data scientists' work in the whole life cycle marketing optimization will be automated, from external to internal channels, to improve business performance in acquiring new users, engaging new users, retaining old users, and reactivating churned users, etc. Our key marketing cloud products include Marketing Spend ROI Optimization(help you invest on channels with higher return), Targeting Optimization(help you reach the customers with higher chance of conversion), Recommendation Optimization ( help you personalize the service to retain users) and etc. We also provide consulting service to work out personalized big data solution for your company. We will study your own case to provide personalized service, depends on your business stage and needs. If your business has a potential to accumulate big data, and with intention to create your own big data infrastructure, we can provide you the entire data solution, from data tracking, data collection, data structure, data analysis, data reporting and various business modeling in future.

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HeadquartersFremont, United StatesEmployees17(11 to 50)Annual revenue$10M to <$50MFounded year2015Websitedatatist.comLinkedIn profileLinkedIn

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LinkedIn employees

17

11 to 50 range

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Distinct roles

8

indexed titles

Tech stack

2

tools in use

Monthly traffic

organic / mo

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8 distinct titles indexed · top 8 shown.

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  • 1vp of engineering
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