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Why Cardlytics's Business Model is so successful?

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Cardlytics’s Company Overview


Cardlytics, Inc. operates a purchase intelligence platform in the United States and the United Kingdom. It operates in two segments, Cardlytics Direct and Other Platform Solutions. The company’s platform is the Cardlytics Direct solution, a proprietary native bank advertising channel that enables marketers to reach consumers through their trusted and frequently visited online and mobile banking channels. It also provides solutions that enable marketers and marketing service providers to leverage the power of purchase intelligence outside the banking channel.

http://www.cardlytics.com/

Country: Georgia

Foundations date: 2008

Type: Private

Sector: Technology

Categories: Data and Analytics


Cardlytics’s Customer Needs


Social impact:

Life changing: affiliation/belonging, self-actualization

Emotional: provides access, attractiveness, design/aesthetics

Functional: integrates, organizes, simplifies, saves time, makes money, informs


Cardlytics’s Related Competitors



Cardlytics’s Business Operations


Add-on:

An additional item offered to a customer of a primary product or service is referred to as an add-on sale. Depending on the industry, add-on sales may generate substantial income and profits for a firm. For example, when a customer has decided to purchase the core product or service, the salesman at an automotive dealership will usually offer an add-on sale. The pattern is used in the price of new software programs based on access to new features, number of users, and so forth.

Blue ocean strategy:

The blue ocean approach is predicated on the premise that market limits and industry structure are not predetermined and may be reconfigured via the actions and attitudes of industry participants. This is referred to as the reconstructionist perspective by the writers. Assuming that structure and market boundaries exist solely in managers' thoughts, practitioners who subscribe to this perspective avoid being constrained by actual market structures. To them, more demand exists, primarily untapped. The core of the issue is determining how to produce it.

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.

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 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.

Combining data within and across industries:

How can data from other sources be integrated to generate additional value? The science of big data, combined with emerging IT standards that enable improved data integration, enables new information coordination across businesses or sectors. As a result, intelligent executives across industries will see big data for what it is: a revolution in management. However, as with any other significant organizational transformation, the difficulties associated with becoming a big data-enabled company may be tremendous and require hands-on?or, in some instances, hands-off?leadership.

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.

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.

Software as a Service (SaaS):

Software as a Service (SaaS) is a paradigm for licensing and delivering subscription-based and centrally hosted software. Occasionally, the term on-demand software is used. SaaS is usually accessible through a web browser via a thin client. SaaS has established itself as the de facto delivery mechanism for a large number of commercial apps. SaaS has been integrated into virtually every major enterprise Software company's strategy.

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.

Technology trends:

New technologies that are now being created or produced in the next five to ten years will significantly change the economic and social landscape. These include but are not limited to information technology, wireless data transmission, human-machine connection, on-demand printing, biotechnology, and sophisticated robotics.

Disruptive trends:

A disruptive technology supplants an existing technology and fundamentally alters an industry or a game-changing innovation that establishes an altogether new industry. Disruptive innovation is defined as an invention that shows a new market and value network and ultimately disrupts an established market and value network, replacing incumbent market-leading companies, products, and alliances.

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