Online Marketing

Online Marketing

The Beast Marketing strategy in the field of Online Marketing is focused on the constant search positioning and visibility of companies on the Internet, always developing actions towards achieving effective results, as more and more frequently offers Online Marketing companies and individuals excellent results in the promotion and sale of their products and services as well as in the creation and effective dissemination of a brand image.

Within the area of ​​Online Marketing, The Marketing Beast technical study use the Internet to advertise and sell those products and services, among which advertising cost per click (CPC), warnings (ads) on web portals, search engine marketing (including search engine optimization), the use of social networks and blogs developed marketing and, in general, web 2.0. Depending on the type of business you study, apply one or other tools, always aware of how effective each of them will have in its segment of the public with the aim of achieving the consolidation of the company.

The Beast Marketing, in its effort to improve management processes of its customers Online Marketing, works with Google AdWords, for the creation and optimization advertising campaigns in your browser.

Affiliate Marketing

Affiliate marketing

Affiliate marketing is a type of performance-based marketing in which a business rewards one or more affiliates for each visitor or customer brought about by the affiliate’s own marketing efforts. The industry has four core players: the merchant (also known as ‘retailer’ or ‘brand’), the network (that contains offers for the affiliate to choose from and also takes care of the payments), the publisher (also known as ‘the affiliate’), and the customer. The market has grown in complexity to warrant a secondary tier of players, including affiliate management agencies, super-affiliates and specialized third party vendors.

Affiliate marketing overlaps with other Internet marketing methods to some degree, because affiliates often use regular advertising methods. Those methods include organic search engine optimization (SEO), paid search engine marketing (PPC – Pay Per Click), e-mail marketing, content marketing and in some sense display advertising. On the other hand, affiliates sometimes use less orthodox techniques, such as publishing reviews of products or services offered by a partner.

Affiliate marketing is commonly confused with referral marketing, as both forms of marketing use third parties to drive sales to the retailer. However, both are distinct forms of marketing and the main difference between them is that affiliate marketing relies purely on financial motivations to drive sales while referral marketing relies on trust and personal relationships to drive sales.

Affiliate marketing is frequently overlooked by advertisers. While search engines, e-mail, and website syndication capture much of the attention of online retailers, affiliate marketing carries a much lower profile. Still, affiliates continue to play a significant role in e-retailers’ marketing strategies.

Source: Wikipedia

Behavioral Targeting

Behavioral Targeting

Behavioral Targeting refers to a range of technologies and techniques used by online website publishers and advertisers which allows them to increase the effectiveness of their campaigns by capturing data generated by website and landing page visitors. When it is done without the knowledge of users, it may be considered a breach of browser security and illegal by many countries’ privacy, data protection and consumer protection laws.

Behavioral TargetingWhen a consumer visits a web site, the pages they visit, the amount of time they view each page, the links they click on, the searches they make and the things that they interact with, allow sites to collect that data, and other factors, create a ‘profile’ that links to that visitor’s web browser. As a result, site publishers can use this data to create defined audience segments based upon visitors that have similar profiles. When visitors return to a specific site or a network of sites using the same web browser, those profiles can be used to allow advertisers to position their online ads in front of those visitors who exhibit a greater level of interest and intent for the products and services being offered. On the theory that properly targeted ads will fetch more consumer interest, the publisher (or seller) can charge a premium for these ads over random advertising or ads based on the context of a site.

Behavioral marketing can be used on its own or in conjunction with other forms of targeting based on factors like geography, demographics or contextual web page content. It’s worth noting that many practitioners also refer to this process as “Audience Targeting”.

Onsite Behavioral Targeting

Behavioral targeting techniques may also be applied to any online property on the premise that it either improves the visitor experience or it benefits the online property, typically through increased conversion rates or increased spending levels. The early adopters of this technology/philosophy were editorial sites online advertising with leading online ad servers, retail or other e-commerce website as a technique for increasing the relevance of product offers and promotions on a visitor by visitor basis. More recently, companies outside this traditional e-commerce marketplace have started to experiment with these emerging technologies.

The typical approach to this starts by using web analytics to break-down the range of all visitors into a number of discrete channels. Each channel is then analyzed and a virtual profile is created to deal with each channel. These profiles can be based around Personas that gives the website operators a starting point in terms of deciding what content, navigation and layout to show to each of the different personas. When it comes to the practical problem of successfully delivering the profiles correctly this is usually achieved by either using a specialist content behavioral platform or by bespoke software development. Most platforms identify visitors by assigning a unique id cookie to each and every visitor to the site thereby allowing them to be tracked throughout their web journey, the platform then makes a rules-based decision about what content to serve.

Again, this behavioral data can be combined with known demographic data and a visitor’s past purchase history in order to produce a greater degree of data points that can be used for targeting.

Self-learning onsite behavioral targeting systems will monitor visitor response to site content and learn what is most likely to generate a desired conversion event. Some good content for each behavioral trait or pattern is often established using numerous simultaneous multivariate tests. Onsite behavioral targeting requires relatively high level of traffic before statistical confidence levels can be reached regarding the probability of a particular offer generating a conversion from a user with a set behavioral profile. Some providers have been able to do so by leveraging its large user base, such as Yahoo!. Some providers use a rules based approach, allowing administrators to set the content and offers shown to those with particular traits.

Source: Wikipedia