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The most important difference between B2B and B2C marketing
The most important difference between B2B and B2C marketing
The most important difference between B2B and B2C marketing
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While both B2B and B2C have certain similarities there are a few key differences between the two, they are as follows: 1. Business jargons can be used effectively on B2B platforms, but on B2C, the simpler the better to make it more relatable to the consumer. Simpler buzzwords are more appreciated in B2C. Eg. 1 : B2C advertisements are very simple in clear in terminologies like Lifebuoy’s Tandurusti ki Raksha karta hai Lifebuoy” which clearly defines the benefit of the product against using a B2B jargon like “Market segmentation” Eg.2 : Maggi Pichkoo’s “Its different” vs. B2B jargon “Competitive advantage” Eg.3 : Dove’s “Real Beauty” vs. B2B jargon “Targeting” 2. Expertize and efficiency might be the driving factors for a B2B purchase whereas the purpose of a B2C purchase may be entertainment. The B2B purchase process tends to be logically driven, while consumer choices are usually emotionally driven. Eg. 1 : In B2B(EPC sector) a business may select the most suitable contractor based on his past experience credentials and expertize along with the commercial offer. But in a B2C a consumer might buy a music CD because he or she likes the artist. Eg. 2 : A decision to purchase a software package or IT support may depend on who wins the tender by being technically and commercially compliant but in B2C a consumer buying a Windows 8 license may do so because he/she has been using a windows OS on their desktops since childhood and thus the trust factor is enough to convince the consumer to make the purchase. Eg. 3 : A pharmaceutical company form a JV with a strategic partner to improve its expertise in the business. While a direct drug sale at the chemist depends on what the trusted family doctor prescribes. 3. Lengthy and highly d... ... middle of paper ... ...f fully integrated modules, which covers all aspects of the B2B business. 3. MSP / Primavera Both Microsoft Project (MSP) and Primavera are used for project management and project planning. The basic difference between Primavera and MS Project is that MS Project is a file based software whereas Primavera is a Database software 4. Marketing automation Marketing Automation an extension of customer relationship management (CRM) and it focuses on segmentation, definition, tracking , and scheduling of marketing activities. It makes the marketing activity much more efficient and time saving. 5. Big Data Big Data not only involves collection of large volumes of data but also involves the aspect of harnessing relevant data and analyzing it to enable Smarter business decision, New product development and optimized offerings, Time reductions, and Cost reductions making
In order to sustain the market share in this highly competitive industry the pharmacies have to establish and maintain strong working relationships with PBMs that have power to divest particular clients from a pharmacy by denying reimbursement privileges to their customers.
Threat of new entrants is relatively high. Companies forming alliances are potential rivals. Even if earlier such company was not considered to be a threat, after merging with some research and development company or forming alliance with another pharmaceutical company it would become a rival to Eli Lilly. The threat is however weakened by significant research and development costs necessary to successfully enter the business. Eli Lilly’s focus on a relatively narrow market of sedatives and antidepressants weakens the threat of new entrants, but other products that form lesser part of company’s sales such as insulin and others are exposed to high threat of new entrants. The need of obtaining certificates and licenses also weakens the threat of new entrants. Discussed above leads to the conclusion that threat of new entrants is medium.
Big Data is a term used to refer to extremely large and complex data sets that have grown beyond the ability to manage and analyse them with traditional data processing tools. However, Big Data contains a lot of valuable information which if extracted successfully, it will help a lot for business, scientific research, to predict the upcoming epidemic and even determining traffic conditions in real time. Therefore, these data must be collected, organized, storage, search, sharing in a different way than usual. In this article, invite you and learn about Big Data, methods people use to exploit it and how it helps our life.
The ultimate goal of B2C marketing is to convert shoppers into buyers as aggressively and consistently as possible. B2C companies employ more merchandising activities like coupons, displays, store fronts (both real and Internet) and offers to entice the target market to buy. B2C marketing campaigns are concerned with the transaction, are shorter in duration and need to capture the customer’s interest immediately. These campaigns often offer special deals, discounts, or vouchers that can be used both online and in the store. For example, the goal of an email campaign for a B2C company is to get consumers to buy the product immediately. The email will take the consumer to a landing page on the web site that is designed to sell the product and make purchasing very easy by integrating the shopping cart and checkout page into the flow of the transaction. Any more than a couple of clicks and the customer is likely to abandon the shopping cart.
From buying a hamburger to buying a house people use a process in order to make a decision on what to buy. (book cite) describes this as the consumer decision process (pg.175). Utilizing a consumer decision process model, marketers are able to better understand how consumers are purchasing products and services. The five step consumer decision process model includes need recognition, information search, alternative evaluation, purchase, and post purchase. Not all purchases require following all five steps to a T, but consumers, whether they know it or not, follow a version of this model when making a purchase. Companies also use this model in order to effectively market their products and services. A company
Big Data analytics helps to explore hidden correlations, hidden patterns and provide other valuable insights into the data. This analysis helps to data scientists and other users to evaluate large volumes data, which might be left untapped by traditional business intelligence (BI) systems. Big data analytics can provide competitive advantages to organizations. It also help to achieve business benefits such as more effective marketing and increased revenue. The key goal of Big Data analytics is to assist organizations in making superior business decisions. [8]
2) companies evaluate their decisions rationally with the goal of maximizing profits as a group, whereas consumers evaluate their decisions as individuals with the goal of maximizing their personal satisfaction,
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
Every company wants to understand why people decide to buy its products or others. Firstly, we have to understand why people buy certain kind of product. People buy products because they need them. A need is activated and felt when there is a sufficient discrepancy between a desired or preferred state of being and the actual state. (Engle£¬Blackwell and Miniard. 1995. p407 ) For example, when you feel hungry, what you needs is some food. It is very important for marketer to understand the needs of consumers. All the consumers may have the same needs, but the ways which they satisfy what they need are different. Here is a example, Chinese people would choose rice when they feel hungry, whilst British people may choose bread to satisfy their needs.
Every company depends on an efficient marketing program to fulfill customers' needs. Marketing is a process of finding out what the customer wants and meeting those requirements. Within the company, the marketing group has to consider customer values and customer satisfaction before considering offering a product. Marketing is part of our everyday world, and can be perceived everywhere and every time. At any time, everyone has been exposed to different kinds of marketing or advertising depending upon personal necessities such as T.V commercials, radio, internet, etc.
The are two basic categories of business conducted over the internet, Business-to-Customer (B2C) and Business-to-Business (B2B), and they share one common key aspect - use of Internet technologies to manage all aspects of the business.
Big data is a concept that has been misunderstood therefore I will be writing this paper with the intentions of thoroughly discussing this technological concept and all its dimensions with regard to what constitutes big data and how the term came about. The rapid innovations in Information Technology have brought about the realisation of big data. The concept of big data is complex and has different connotations but I intend to clarify its functions. Big data refers to the concept of a collection of large and complex amounts of data that are found extremely difficult to notate or even process by most on-hand devices and database technologies.
According to Gartner, “Big data is high-volume, high-velocity and high-variety information assets that demand cost effective, innovative forms of information processing for enhanced insight and decision
The terms e-business and e-commerce are closely related but have some elements of differences between them.
Adopting big data can also help the banking industry by saving them from lots of embarrassment resulting from increase in the number of customer which in turn requires banks to improve on their performance. As stated earlier banks are entrusted with lots of information and this information must be safe will be required to be accessed ready and in a timely fashion. The use a normal small database will not be enough to perform this operation and if banks don’t embrace the use of big data they might start to experience failure in there system.