This web app uses cookies to compile statistic information of our users visits. By continuing to browse the site you are agreeing to our use of cookies. If you wish you may change your preference or read about cookies


Why YipitData's Business Model is so successful?

Get all the answers

YipitData’s Company Overview

YipitData, founded in 2010, is a market intelligence company specializing in providing alternative data solutions to institutional investors, hedge funds, and other financial institutions. The company aggregates and analyzes data from various online sources to offer insights and analytics, enabling clients to make informed investment decisions. YipitData is a data-driven research firm that extracts meaningful information from the Web to provide institutional investors with the necessary insights to make better business investment decisions. It specializes in analyzing data from the Web and extracting insights for the institutional investor community. Its services include data extraction, aggregation, and analysis, as well as research and data visualization. The company serves hedge funds, private equity firms, mutual funds, and venture capitalists. YipitData's business model revolves around collecting, cleaning, and analyzing alternative data sets, often sourced from publicly available online platforms. The company employs data scientists and analysts who curate this information to extract valuable insights, particularly in sectors such as e-commerce, technology, and other industries relevant to the financial markets. YipitData operates on a subscription-based revenue model. Clients, typically institutional investors, subscribe to the company's data services to gain access to unique and proprietary datasets. The subscription fees are based on the scope and depth of data required, the frequency of updates, and the specific industry verticals covered. This revenue model allows YipitData to provide a steady and predictable income stream while delivering high-quality, actionable insights to its clients.

Country: New York

Foundations date: 2010

Type: Private

Sector: Information & Media

Categories: Data and Analytics

YipitData’s Customer Needs

Social impact:

Life changing: affiliation/belonging

Emotional: rewards me, fun/entertainment, attractiveness

Functional: saves time, reduces risk, informs

YipitData’s Related Competitors

YipitData’s Business Operations

Customer data:

It primarily offers free services to users, stores their personal information, and acts as a platform for users to interact with one another. Additional value is generated by gathering and processing consumer data in advantageous ways for internal use or transfer to interested third parties. Revenue is produced by either directly selling the data to outsiders or by leveraging it for internal reasons, such as increasing the efficacy of advertising. Thus, innovative, sustainable Big Data business models are as prevalent and desired as they are elusive (i.e., data is the new oil).

Data as a Service (DaaS):

Data as a Service (DaaS) is a relative of Software as a Service in computing (SaaS). As with other members of the as a service (aaS) family, DaaS is based on the idea that the product (in this instance, data) may be delivered to the user on-demand independent of the provider's geographic or organizational isolation from the customer. Additionally, with the advent[when?] of service-oriented architecture (SOA), the platform on which the data sits has become unimportant. This progression paved the way for the relatively recent new idea of DaaS to arise.

Data warehouses:

A data warehouse (DW or DWH), sometimes referred to as an enterprise data warehouse (EDW), is a computer term that refers to a system used for reporting and data analysis. It is a critical component of business intelligence. DWs are the centralized repository for data that has been integrated from one or more separate sources. They keep track of both data and information and generate analytical reports for skilled professionals throughout the business.

Market research:

Market research is any systematic attempt to collect data about target markets or consumers. It is a critical aspect of corporate strategy. While the terms marketing research and market research are frequently used interchangeably, experienced practitioners may want to distinguish between the two, noting that marketing research is concerned with marketing processes. In contrast, market research is concerned with markets. Market research is a critical component of sustaining a competitive edge over rivals.


Subscription business models are built on the concept of providing a product or service in exchange for recurring subscription income on a monthly or annual basis. As a result, they place a higher premium on client retention than on customer acquisition. Subscription business models, in essence, concentrate on revenue generation in such a manner that a single client makes repeated payments for extended access to a product or service. Cable television, internet providers, software suppliers, websites (e.g., blogs), business solutions providers, and financial services companies utilize this approach, as do conventional newspapers, periodicals, and academic publications.

Trading data:

Combining disparate data sets enables businesses to develop a variety of new offerings for complementary companies. Robustness is a property that describes a model's, test's, or system's ability to perform effectively when its variables or assumptions are changed, ensuring that a robust concept operates without fail under various conditions. In general, robustness refers to a system's capacity to deal with unpredictability while remaining practical.

Embed code:

Copy the code below and embed it in yours to show this business model canvas in your website.