Adobe captivate 8 wikipedia free. Adobe Captivate
Adobe Acrobat is a family of application software and Web services developed by Adobe Inc. to view, create, manipulate, print and manage Portable Document. The following is a list of software products by Adobe Inc. Contents. 1 Active products; 2 Software suites. Experience Cloud; Creative Suite.
Adobe Bridge is a free digital asset management app made by Adobe Inc. Starting with Creative Cloud , however, it has become an optional component downloaded via Creative Cloud subscription. Adobe Bridge is often used to organize files by renaming a group of them at once, assigning colored labels or star ratings assigned to files from the respective Adobe software suite, edit embedded or associated XMP and IPTC Information Interchange Model metadata , or sort or categorize them based on their metadata.
It can use these options through different versions of a file that is part of an Adobe Version Cue project. However, it lacks the photo editing functions of Adobe Photoshop Lightroom , which are carried out by the Camera Raw plugin, coming with Adobe Photoshop. Image files can be shown in different sized thumbnails, slide shows or lists. Each folder, which can be bookmarked, has a cache file for speeding up rendering time of images when viewing a thumbnail.
The cache can be in one central location or in individual folders. Coupled with Adobe Photoshop, Bridge can execute Photoshop’s compatible automation plug-ins, scripts and Adobe Camera Raw filters on a group of images. A plugin for Photoshop called Mini Bridge adds a small file browser to Photoshop, although Mini Bridge can be used only if Adobe Bridge is running in the background. Adobe Bridge is customizable using JavaScript.
Adobe Bridge initially allowed for access to Adobe Stock Photos , an online collection of stock photography images drawn from well-known stock photo houses. The table below contains the supported file formats that can be opened or accessed in Adobe Bridge. From Wikipedia, the free encyclopedia. CC Retrieved Archived from the original on 22 February Archived from the original on 5 April Adobe Systems. Archived from the original PDF on Archived from the original on 11 June Wikimedia Commons has media related to Adobe Bridge icons.
Adobe Creative Suite and Creative Cloud. Adobe Technical Communication Suite. Bridge Device Central 3D Reviewer. Adobe eLearning Suite. Bridge Device Central. Adobe Inc. Category Commons. Hidden categories: Commons category link is on Wikidata Official website different in Wikidata and Wikipedia. Namespaces Article Talk. Views Read Edit View history. Help Learn to edit Community portal Recent changes Upload file.
Download as PDF Printable version. Wikimedia Commons. April 4, ; 17 years ago Digital asset management.
Adobe Acrobat is a family of application software and Web services developed by Adobe Inc. to view, create, manipulate, print and manage Portable Document. The following is a list of software products by Adobe Inc. Contents. 1 Active products; 2 Software suites. Experience Cloud; Creative Suite.
When ranked based on these criteria, it will affect the advertiser by improving ad auction eligibility, the actual cost per click CPC , ad position, and ad position bid estimates; to summarise, the better the quality score, the better ad position, and lower costs.
Google uses its display network to track what users are looking at and to gather information about them. When a user goes to a website that uses the Google display network, it will send a cookie to Google, showing information on the user, what he or she searched, where they are from, found by the IP address, and then builds a profile around them, allowing Google to easily target ads to the user more specifically.
For example, if a user went onto promotional companies’ websites often, that sell promotional pens, Google will gather data from the user such as age, gender, location, and other demographic information as well as information on the websites visited, the user will then be put into a category of promotional products, allowing Google to easily display ads on websites the user visits relating to promotional products.
Social media targeting is a form of targeted advertising, that uses general targeting attributes such as geotargeting , behavioral targeting, socio-psychographic targeting, and gathers the information that consumers have provided on each social media platform. According to the media users’ view history, customers who are interested in the criteria will be automatically targeted by the advertisements of certain products or service.
Social media also creates profiles of the consumer and only needs to look at one place, the user’s profile, to find all interests and ‘likes’. Facebook lets advertisers target using broad characteristics like gender, age, and location.
Furthermore, they allow more narrow targeting based on demographics, behavior, and interests see a comprehensive list of Facebook’s different types of targeting options [14]. Advertisements can be targeted to specific consumers watching digital cable [15] or over-the-top video.
Political campaigns may also match against public records such as party affiliation and which elections and party primaries the view has voted in. Since the early s, advertising has been pervasive online and more recently in the mobile setting.
Targeted advertising based on mobile devices allows more information about the consumer to be transmitted, not just their interests, but their information about their location and time. This is when advertisers put ads in a specific place, based on the relative content present. This targeting method can be used across different mediums, for example in an article online, purchasing homes would have an advert associated with this context, like an insurance ad.
This is usually achieved through an ad matching system that analyses the contents on a page or finds keywords and presents a relevant advert, sometimes through pop-ups.
This can result in placing contradictory adverts, which are not appropriate to the content. Technical targeting is associated with the user’s own software or hardware status. The advertisement is altered depending on the user’s available network bandwidth, for example, if a user is on their mobile phone that has limited connection, the ad delivery system will display a version of the ad that is smaller for a faster data transfer rate.
Addressable advertising systems serve ads directly based on demographic, psychographic, or behavioral attributes associated with the consumer s exposed to the ad. These systems are always digital and must be addressable in that the endpoint which serves the ad set-top box , website, or digital sign must be capable of rendering an ad independently of any other endpoints based on consumer attributes specific to that endpoint at the time the ad is served. Addressable advertising systems, therefore, must use consumer traits associated with the endpoints as the basis for selecting and serving ads.
According to the Journal of Marketing , more than 1. With this astounding buyer trend, it is important for advertisers to choose the right time to schedule content, in order to maximize advertising efficiency. To determine what time of day is most effective for scheduling content, it is essential to know when the brain is most effective at retaining memory. Research in chronopsychology has credited that time-of-day impacts diurnal variety in a person’s working memory accessibility and has discovered the enactment of inhibitory procedures to build working memory effectiveness during times of low working memory accessibility.
Working memory is known to be vital for language perception , learning , and reasoning [22] [23] providing us with the capacities of putting away, recovering, and preparing quick data.
For many people, working memory accessibility is good when they get up toward the beginning of the day, most reduced in mid-evening, and moderate at night.
Sociodemographic targeting focuses on the characteristics of consumers. This includes their age, generation, gender, salary, and nationality. Facebook and other social media platforms uses this form of targeting by showing advertisements relevant to the user’s individual demographic on their account, this can show up in forms of banner ads, mobile ads, or commercial videos.
This type of advertising involves targeting different users based on their geographic location. IP addresses can signal the location of a user and can usually transfer the location through ZIP codes. A location-based service LBS is a mobile information service that allows spatial and temporal data transmission and can be used to an advertiser’s advantage. Although producing advertising off consumer’s location-based services can improve the effectiveness of delivering ads, it can raise issues with the user’s privacy.
Advertisers using this method believe it produces ads that will be more relevant to users, thus leading consumers to be more likely influenced by them. Its advantage is that it can target individual’s interests, rather than target groups of people whose interests may vary. When 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, to 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 marketers and advertisers to position their online ads and messaging in front of those visitors who exhibit a greater level of interest and intent for the products and services being offered.
Behavioral targeting has emerged as one of the main technologies used to increase the efficiency and profits of digital marketing and advertisements, as media providers are able to provide individual users with highly relevant advertisements. On the theory that properly targeted ads and messaging will fetch more consumer interest, publishers can charge a premium for behaviorally targeted ads and marketers can achieve. Behavioral marketing can be used on its own or in conjunction with other forms of targeting.
Major advantages of Behavioral marketing are that it will help in reaching surfers with affinity, reach surfers that were not exposed to a media campaign, contact surfers close to conversion and in reconnecting with prospects or customers. Behavioral targeting may also be applied to any online property on the premise that it either improves the visitor experience or benefits the online property, typically through increased conversion rates or increased spending levels.
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 or behavioral 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 give 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.
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 a 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 their 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.
Advertising networks use behavioral targeting in a different way than individual sites. Since they serve many advertisements across many different sites, they are able to build up a picture of the likely demographic makeup of internet users. Some servers even record the page that referred you to them, websites you visit after them, which ads you see and which ads you click on. Online advertising uses cookies, a tool used specifically to identify users, as a means of delivering targeted advertising by monitoring the actions of a user on the website.
For this purpose, the cookies used are called tracking cookies. An ad network company such as Google uses cookies to deliver advertisements adjusted to the interests of the user, control the number of times that the user sees an ad and “measure” whether they are advertising the specific product to the customer’s preferences. This data is collected without attaching the people’s names, address, email address or telephone number, but it may include device identifying information such as the IP address, MAC address , cookie or other device-specific unique alphanumerical ID of your computer, but some stores may create guest IDs to go along with the data.
Cookies are used to control displayed ads and to track browsing activity and usage patterns on sites. This data is used by companies to infer people’s age, gender, and possible purchase interests so that they could make customized ads that you would be more likely to click on. An example would be a user seen on football sites, business sites, and male fashion sites. A reasonable guess would be to assume the user is male.
Behavioral targeting allows them to be slightly more specific about this. In the work titled An Economic Analysis of Online Advertising Using Behavioral Targeting, [30] Chen and Stallaert study the economic implications when an online publisher engages in behavioral targeting. They consider that the publisher auctions off an advertising slot and are paid on a cost-per-click basis.
Chen and Stallaert identify the factors that affect the publisher’s revenue , the advertisers’ payoffs, and social welfare. They show that revenue for the online publisher in some circumstances can double when behavioral targeting is used. Increased revenue for the publisher is not guaranteed: in some cases, the prices of advertising and hence the publisher’s revenue can be lower, depending on the degree of competition and the advertisers’ valuations.
They identify two effects associated with behavioral targeting: a competitive effect and a propensity effect. The relative strength of the two effects determines whether the publisher’s revenue is positively or negatively affected. Chen and Stallaert also demonstrate that, although social welfare is increased and small advertisers are better off under behavioral targeting, the dominant advertiser might be worse off and reluctant to switch from traditional advertising.
In , BlueLithium now Yahoo! Advertising in a large online study, examined the effects of behavior targeted advertisements based on contextual content. The study used million “impressions”, or advertisements conveyed across behavioral and contextual borders. Specifically, nine behavioral categories such as “shoppers” or “travelers” [44] with over 10 million “impressions” were observed for patterns across the content.
All measures for the study were taken in terms of click-through rates CTR and ” action-through rates ” ATR , or conversions. So, for every impression that someone gets, the number of times they “click-through” to it will contribute to CTR data, and every time they go through with or convert on the advertisement the user adds “action-through” data. Results from the study show that advertisers looking for traffic on their advertisements should focus on behavioral targeting in context.
Likewise, if they are looking for conversions on the advertisements, behavioral targeting out of context is the most effective process.
Overall results from the researchers indicate that the effectiveness of behavioral targeting is dependent on the goals of the advertiser and the primary target market the advertiser is trying to reach. Many online users and advocacy groups are concerned about privacy issues around this type of targeting since targeted advertising requires aggregation of large amounts of personal data, including highly sensitive one such as sexual orientation or sexual preferences, health issues, location which is then traded between hundreds of parties in the process of real-time bidding.
Obscure to a great many people, individual data are exchanged without the consent of the proprietors [ citation needed ]. Essentially, it is an obtrusive rupture of protection to profit from the unregulated exchange of individual data.
However simultaneously, individual data, particularly the ones that are identified with intrigue and propensity, are a basic segment for conveying web-based promoting, which is the help of numerous sites. This is a controversy that the behavioral targeting industry is trying to contain through education, advocacy and product constraints in order to keep all information non-personally identifiable or to obtain permission from end-users.
The European Commission via commissioner Meglena Kuneva has also raised a number of concerns related to online data collection of personal data , profiling and behavioral targeting, and is looking for “enforcing existing regulation”. In October it was reported that a recent survey carried out by University of Pennsylvania and the Berkeley Center for Law and Technology found that a large majority of US internet users rejected the use of behavioral advertising.
These zombie cookies, which were on partner sites such as MTV, Hulu, and ESPN, would re-generate to continue tracking the user even if they were deleted. In March , it was reported that the online ad industry would begin working with the Council of Better Business Bureaus to start policing itself as part of its program to monitor and regulate how marketers track consumers online, also known as behavioral advertising.
Retargeting is where advertisers use behavioral targeting to produce ads that follow users after users have looked at or purchased a particular item. An example of this is store catalogs, where stores subscribe customers to their email system after a purchase hoping that they draw attention to more items for continuous purchases. The main example of retargeting that has earned a reputation from most people is ads that follow users across the web, showing them the same items that they have looked at in the hope that they will purchase them.
Retargeting is a very effective process; by analysing consumers activities with the brand they can address their consumers’ behavior appropriately. Advertising provides advertisers with a direct line of communication to existing and prospective consumers. Advertising should define how and when structural elements of advertisements influence receivers, knowing that all receivers are not the same and thus may not respond in a single, similar manner.
Advertisers aim to reach consumers as efficiently as possible with the belief that it will result in a more effective campaign. By targeting, advertisers are able to identify when and where the ad should be positioned in order to achieve maximum profits. This requires an understanding of how customers’ minds work see also neuromarketing so as to determine the best channel by which to communicate.
Types of targeting include, but are not limited to advertising based on demographics , psychographics , behavioral variables and contextual targeting. Behavioral advertising is the most common form of targeting used online. Internet cookies are sent back and forth between an internet server and the browser, that allows a user to be identified or to track their progressions.
Cookies provide detail on what pages a consumer visits, the amount of time spent viewing each page, the links clicked on; and searches and interactions made. From this information, the cookie issuer gathers an understanding of the user’s browsing tendencies and interests generating a profile. Analyzing the profile, advertisers are able to create defined audience segments based upon users with similar returned similar information, hence profiles.
Tailored advertising is then placed in front of the consumer based upon what organizations working on behalf of the advertisers assume are the interests of the consumer. For example, under behavioral targeting, if a user is known to have recently visited a number of automotive shopping and comparison sites based on the data recorded by cookies stored on the user’s computer, the user can then be served automotive-related advertisements when visiting other sites.
Demographic targeting was the first and most basic form of targeting used online. All members of the group share a common trait. So, when an advertiser wishes to run a campaign aimed at a specific group of people then that campaign is intended only for the group that contains those traits at which the campaign is targeted. Having finalized the advertiser’s demographic target, a website or a website section is chosen as a medium because a large proportion of the targeted audience utilizes that form of media.
Segmentation using psychographics Is based on an individual’s personality, values, interests and lifestyles. A recent study concerning what forms of media people use- conducted by the Entertainment Technology Center at the University of Southern California, the Hallmark Channel, and E-Poll Market Research- concludes that a better predictor of media usage is the user’s lifestyle.
Researchers concluded that while cohorts of these groups may have similar demographic profiles, they may have different attitudes and media usage habits. Once acknowledging this is the case, advertisers can begin to target customers having recognized that factors other than age for example provides greater insight into the customer.
Contextual advertising is a strategy to place advertisements on media vehicles, such as specific websites or print magazines, whose themes are relevant to the promoted products.
The advertisements will be displayed across the user’s different platforms and are chosen based on searches for keywords; appearing as either a web page or pop up ads.
It is a form of targeted advertising in which the content of an ad is in direct correlation to the content of the webpage the user is viewing. Every brand, service or product has itself a personality , how it is viewed by the public and the community and marketers will create these personalities to match the personality traits of their target market.
Advertisers are aware that different people lead different lives, have different lifestyles and different wants and needs at different times in their consumer’s lives, thus individual differences can be compensated for Advertisers who base their segmentation on psychographic characteristics promote their product as the solution to these wants and needs.
Segmentation by lifestyle considers where the consumer is in their life cycle and which preferences are associated with that life stage. Psychographic segmentation also includes opinions on religion, gender and politics, sporting and recreational activities, views on the environment and arts and cultural issues.
The views that the market segments hold and the activities they participate in will have an impact on the products and services they purchase and it will affect how they respond to the message.
Alternatives to behavioral advertising and psychographic targeting include geographic targeting and demographic targeting. When advertisers want to efficiently reach as many consumers as possible, they use a six-step process.
Alternatives to behavioral advertising include audience targeting, contextual targeting, and psychographic [65] targeting. Targeting aims to improve the effectiveness of advertising and reduce the wastage created by sending advertising to consumers who are unlikely to purchase that product. Targeted advertising or improved targeting may lead to lower advertising costs and expenditures. The effects of advertising on society and those targeted are all implicitly underpinned by consideration of whether advertising compromises autonomous choice.
Those arguing for the ethical acceptability of advertising claim either that, because of the commercially competitive context of advertising, the consumer has a choice over what to accept and what to reject. Humans have the cognitive competence and are equipped with the necessary faculties to decide whether to be affected by adverts. Although the effects of target advertising are mainly focused on those targeted it also has an effect on those not targeted.
Its unintended audiences often view an advertisement targeted at other groups and start forming judgments and decisions regarding the advertisement and even the brand and company behind the advertisement, these judgments may affect future consumer behavior. The Network Advertising Initiative conducted a study [69] in measuring the pricing and effectiveness of targeted advertising. It revealed that targeted advertising:. However, other studies show that targeted advertising, at least by gender, [2] is not effective.
One of the major difficulties in measuring the economic efficiency of targeting, however, is being able to observe what would have happened in the absence of targeting since the users targeted by advertisers are more likely to convert than the general population. Farahat and Bailey [70] exploit a large-scale natural experiment on Yahoo! Proponents of targeted advertising argue that there are advantages for both consumers and advertisers:. Targeted advertising benefits consumers because advertisers are able to effectively attract consumers by using their purchasing and browsing habits this enables ads to be more apparent and useful for customers.
Having ads that are related to the interests of the consumers allow the message to be received in a direct manner through effective touchpoints. An example of how targeted advertising is beneficial to consumers if that if someone sees an ad targeted to them for something similar to an item they have previously viewed online and were interested in, they are more likely to buy it.
Intelligence agencies worldwide can more easily, and without exposing their personnel to the risks of HUMINT , track targets at sensitive locations such as military bases or training camps by simply purchasing location data from commercial providers who collect it from mobile devices with geotargeting enabled used by the operatives present at these places.
Location data can be extremely valuable and must be protected. It can reveal details about the number of users in a location, user and supply movements, daily routines user and organizational , and can expose otherwise unknown associations between users and locations. Advertisers benefit with target advertising are reduced resource costs and creation of more effective ads by attracting consumers with a strong appeal to these products.
Targeted advertising allows advertisers in reduced cost of advertisement by minimizing “wasted” advertisements to non-interested consumers. Targeted advertising captivate the attention of consumers they were aimed at resulting in higher return on investment for the company. Because behavioral advertising enables advertisers to more easily determine user preference and purchasing habit, the ads will be more pertinent and useful for consumers.
By creating a more efficient and effective manner of advertising to the consumer, an advertiser benefits greatly and in the following ways:. Adobe’s Reader and Flash programs were listed on “The 10 most hated programs of all time” article by TechRadar.
Hackers have exploited vulnerabilities in Adobe programs, such as Adobe Reader, to gain unauthorized access to computers. A report by security researchers from Kaspersky Lab criticized Adobe for producing the products having top 10 security vulnerabilities.
Observers noted that Adobe was spying on its customers by including spyware in the Creative Suite 3 software and quietly sending user data to a firm named Omniture. Adobe has been criticized for pushing unwanted software including third-party browser toolbars and free virus scanners, usually as part of the Flash update process, [92] and for pushing a third-party scareware program designed to scare users into paying for unneeded system repairs.
On October 3, , the company initially revealed that 2. Many of the credit cards were tied to the Creative Cloud software-by-subscription service. After stealing the customers’ data, cyber-thieves also accessed Adobe’s source code repository, likely in mid-August Published on a server of a Russian-speaking hacker group , [] the “disclosure of encryption algorithms, other security schemes, and software vulnerabilities can be used to bypass protections for individual and corporate data” and may have opened the gateway to new generation zero-day attacks.
Hackers already used ColdFusion exploits to make off with usernames and encrypted passwords of PR Newswire ‘s customers, which has been tied to the Adobe security breach. In , Adobe acquired Aldus Corp. Furthermore, there have been reports that with changing subscriptions it is possible to avoid paying this fee. From Wikipedia, the free encyclopedia. American multinational software company. Traded as. San Jose, California. Operating income. Net income. Main article: List of Adobe software.
Graphic design software. Adobe Photoshop. Adobe Illustrator. Adobe FrameMaker. Adobe InDesign. Adobe Lightroom. Adobe InCopy. Web design software. Adobe Dreamweaver. Video editing, animation, and visual effects software. Adobe Spark Video. Adobe Premiere Pro. Adobe After Effects. Adobe Prelude.
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