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Why Chango's Business Model is so successful?

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Chango’s Company Overview


Chango Inc. is an online marketing company in the field of data-driven digital advertising, specializing in search retargeting and programmatic marketing. Chango is used by over 45.000 websites.

http://rubiconproject.com/

Country: Ontario

Foundations date: 2008

Type: Subsidiary

Sector: Technology

Categories: Data and Analytics


Chango’s Customer Needs


Social impact:

Life changing: self-actualization

Emotional: badge value, provides access, attractiveness, design/aesthetics

Functional: makes money, organizes, reduces effort, avoid hassles, connects, integrates, informs, saves time, sensory appeal


Chango’s Related Competitors



Chango’s Business Operations


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.

Advertising:

This approach generated money by sending promotional marketing messages from other businesses to customers. When you establish a for-profit company, one of the most critical aspects of your strategy is determining how to generate income. Many companies sell either products or services or a mix of the two. However, advertisers are frequently the source of the majority of all of the revenue for online businesses and media organizations. This is referred to as an ad-based income model.

Benchmarking services:

Benchmarking is a technique for evaluating performance and gaining insights via data analytics. It may be used to conduct internal research on your firm or compare it to other businesses to enhance business processes and performance indicators following best practices. Typically, three dimensions are measured: quality, time, and cost. In this manner, they may ascertain the targets' performance and, more significantly, the business processes that contribute to these companies' success. The digital transformation era has spawned a slew of data analysis-focused software businesses.

Digitization:

This pattern is based on the capacity to convert current goods or services into digital versions, which have several benefits over intangible products, including increased accessibility and speed of distribution. In an ideal world, the digitalization of a product or service would occur without compromising the consumer value proposition. In other words, efficiency and multiplication achieved via digitalization do not detract from the consumer's perceived value. Being digitally sustainable encompasses all aspects of sustaining the institutional framework for developing and maintaining digital objects and resources and ensuring their long-term survival.

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).

Digital:

A digital strategy is a strategic management and a business reaction or solution to a digital issue, which is often best handled as part of a broader company plan. A digital strategy is frequently defined by the application of new technologies to existing business activities and a focus on enabling new digital skills for their company (such as those formed by the Information Age and frequently as a result of advances in digital technologies such as computers, data, telecommunication services, and the World wide web, to name a few).

Digital transformation:

Digitalization is the systematic and accelerated transformation of company operations, processes, skills, and models to fully exploit the changes and possibilities brought about by digital technology and its effect on society. Digital transformation is a journey with many interconnected intermediate objectives, with the ultimate aim of continuous enhancement of processes, divisions, and the business ecosystem in a hyperconnected age. Therefore, establishing the appropriate bridges for the trip is critical to success.

Consumerization of work:

Consumerization of IT (consumerization) is a term that refers to the process by which Information Technology (IT) begins in the consumer market and then spreads to business and government organizations, primarily as a result of employees utilizing popular consumer market technologies and methods at home and afterward bringing them in the workplace.

Corporate innovation:

Innovation is the outcome of collaborative creativity in turning an idea into a feasible concept, accompanied by a collaborative effort to bring that concept to life as a product, service, or process improvement. The digital era has created an environment conducive to business model innovation since technology has transformed how businesses operate and provide services to consumers.

Codifying a distinctive service capability:

Since their inception, information technology systems have aided in automating corporate operations, increasing productivity, and maximizing efficiency. Now, businesses can take their perfected processes, standardize them, and sell them to other parties. In today's corporate environment, innovation is critical for survival.

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.

Ecosystem:

A business ecosystem is a collection of related entities ? suppliers, distributors, customers, rivals, and government agencies ? collaborating and providing a particular product or service. The concept is that each entity in the ecosystem influences and is impacted by the others, resulting in an ever-changing connection. Therefore, each entity must be adaptive and flexible to live, much like a biological ecosystem. These connections are often backed by a shared technical platform and are based on the flow of information, resources, and artifacts in the software ecosystem.

Lean Start-up:

The Lean Start-up methodology is a scientific approach to developing and managing businesses that focuses on getting the desired product into consumers' hands as quickly as possible. The Lean Startup method coaches you on how to guide a startup?when to turn, when to persevere?and how to build a company with maximum acceleration. It is a guiding philosophy for new product development.

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.

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.

Platform as a Service (PaaS):

Platform as a Service (PaaS) is a class of cloud computing services that enable users to create, operate, and manage apps without the burden of establishing and maintaining the infrastructure usually involved with designing and developing an app.

Self-service:

A retail business model in which consumers self-serve the goods they want to buy. Self-service business concepts include self-service food buffets, self-service petrol stations, and self-service markets. Self-service is available through phone, online, and email to automate customer support interactions. Self-service Software and self-service applications (for example, online banking apps, shopping portals, and self-service check-in at airports) are becoming more prevalent.

Micro-segmentation:

Micro-segmentation is a more sophisticated type of segmentation in which a small number of consumers are classified into very accurate categories based on various variables, including behavioral forecasts. Customer micro-segmentation is the process of segmenting a firm's customers into groups based on their relationship with that business. The purpose of segmenting customers is to determine how to relate to each segment's customers to optimize each customer's value to the company.

Product innovation:

Product innovation is the process of developing and introducing a new or better version of an existing product or service. This is a broader definition of innovation than the generally recognized definition, which includes creating new goods that are considered innovative in this context. For example, Apple launched a succession of successful new products and services in 2001?the iPod, the iTunes online music service, and the iPhone?which catapulted the firm to the top of its industry.

Solution provider:

A solution provider consolidates all goods and services in a particular domain into a single point of contact. As a result, the client is supplied with a unique know-how to improve efficiency and performance. As a Solution Provider, a business may avoid revenue loss by broadening the scope of the service it offers, which adds value to the product. Additionally, close client interaction enables a better understanding of the customer's habits and requirements, enhancing goods and services.

Layer player:

Companies that add value across many markets and sectors are referred to be layer players. Occasionally, specialist companies achieve dominance in a specific niche market. The effectiveness of their operations, along with their economies of size and footprint, establish the business as a market leader.

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