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Sift Science
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Sift Science is a hyper-growth company that facilitates the largest trust network of online businesses and consumers on the internet. Sift Science is a fraud detection solution for websites & mobile a...pplications, sift science uses large scale machine learning technology to help ecommerce companies fight fraud. Read more
Market Share of Sift Science
- Current Customer The number of companies that currently use Sift Science
- 4209
- Websites Added The number of companies that have started using Sift Science in the past month.
12- compared to last month
- Websites Dropped The number of companies that have stopped using Sift Science in the past month.
NA- compared to last month
Top Competitors and Alternatives of Sift Science
The top three of Sift Science’s competitors in the Predictive Analytics category are Tableau Software with 33.74%, Criteo with 16.88%, Zoho CRM with 8.66% market share.
Popular Comparisons
Top Competitors and Alternatives of Sift Science
The top three of Sift Science’s competitors in the Predictive Analytics category are Tableau Software with 33.74%, Criteo with 16.88%, Zoho CRM with 8.66% market share.
Technology Stack Analysis
Compare Tech Stack of Sift Science and Its Competitors
Get the list of top 5 common technologies used by Sift Science and its competitors.
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Customers of Sift Science
Around the world in 2022, over 2134 companies have started using Sift Science as Predictive Analytics tool.
Find which Sift Science customers are ready to buy from you by using Slintel's buying intent score.
Sift Science Customers by Industry
The three top industries that use Sift Science for Predictive Analytics are Marketing (83), Education (81), Training (66).
Sift Science Customers by Employee Count
The majority of Sift Science’s customers for the predictive-analytics category fall in the company size of 0 - 9 employees (2019 companies), 20 - 49 employees (945 companies), 10 - 19 employees (328 companies).
Sift Science Customers by Geography
The top three geographies of Sift Science for predictive-analytics are the United States with 2672(63.48%), United Kingdom with 255(6.06%), Canada with 152(3.61%) customers respectively.
Employees of Sift Science
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FAQ
Find answers to the most often asked questions by users.
Who are the top Sift Science competitors?
Sift Science’s Top competitors in the predictive-analytics category are Tableau Software, Criteo, Zoho CRM. You can view a full list of Sift Science competitors . Slintel uses advanced data mining and AI algorithms to track customers and of Sift Science and 40,000 other technologies on the internet.You can also compare Sift Science and its feature with top competitors here : Sift Science vs Tableau Software Sift Science vs Criteo Sift Science vs Zoho CRM .
What is Sift Science customer distribution based on company size?
The majority of Sift Science’s customers for the predictive-analytics category fall in the company size of 0 - 9 employees (2019 companies), 20 - 49 employees (945 companies), 10 - 19 employees (328 companies). You can view a distribution chart of Sift Science customers by company size .
What is Sift Science market share in the predictive-analytics?
Sift Science has market share of 2.38% in predictive-analytics market. Sift Science competes with 115 competitor tools in predictive-analytics category. The top alternatives for Sift Science predictive-analytics tool are Tableau Software with 33.74%, Criteo with 16.88%, Zoho CRM with 8.66% market share.
What are the top industries that use Sift Science?
Top industries that use Sift Science for predictive-analytics are Marketing (83), Education (81), Training (66).
What are the top countries that use Sift Science?
Around the world in 2022, over 2134 companies have started using Sift Science as predictive-analytics tool. Companies using Sift Science for predictive-analytics are majorly from United States with 2672 customers. 63.48% of Sift Science customers are from the United States. Other top countries using Sift Science are United Kingdom and Canada with 255(6.06%) and 152(3.61%) customers respectively.
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