The Experts below are selected from a list of 18 Experts worldwide ranked by ideXlab platform
Richard Hoefer - One of the best experts on this subject based on the ideXlab platform.
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from Web Site Visitor to online contributor three internet fundraising techniques for nonprofits
Social Work, 2012Co-Authors: Richard HoeferAbstract:According to the National Center for Charitable Statistics (NCCS), over 1 million public charity nonprofits existed in the United States in 2009, funded by $1.4 trillion in revenues from contributions, gifts, and grants (22 percent); program service revenues, including government contracts and fees (67 percent) and other sources, including dues and special event income (11 percent) (NCCS, 2010). A large number of these organizations are human services nonprofits employing social workers and providing mental health, housing, and other types of basic direct services to clients needing assistance. These nonprofit organizations are facing financial conditions that are perhaps the worst in the last three decades. Federal funding for social services is expected to stay flat or decrease (Calmes, 2010). States are experiencing revenue shortfalls that average nearly 12 percent less in 2009 than in 2008 (Pew Center on the States, 2009). Foundation funding has fallen (Foundation Center, 2009). Finally, individual giving to organizations that work with the poor has decreased (Center on Philanthropy, 2009). The effects of these diminished funding streams are serious. Federal grants are much more competitive than before, states are delaying payments for long periods of time to nonprofits that provide services, and nonprofits are finding themselves eating up their cash reserves, leaving them vulnerable to going out of business. Only 18 percent of surveyed nonprofits expect to break even in 2010 (Nonprofit Finance Fund, 2010). Because each of the ways that nonprofit organizations have traditionally raised funds is becoming less productive, alternative means of raising funds should be explored. This article presents three techniques derived from for-profit Internet marketing efforts that are promising additions to current efforts by nonprofits. Internet marketing is an unknown area for most nonprofits, and nonprofits have not appeared as a topic at any of the sessions of the Internet Marketing Conference since its inception in 2000 (Internet Marketing Conference, 2010). Although the techniques discussed here are used by some businesses, even in the for-profit world there is considerable ignorance about the best approaches to Internet marketing. Here, affiliate marketing, online donations and memberships, and information products are defined and discussed in turn. AFFILIATE MARKETING Affiliate marketing is a process by which an organization drives traffic from its Web Site to another organization's Web Site to promote a product or service for a percentage of the sale price (Brown, 2008). It is vital that the product be of significant benefit to the individual buying it, else the nonprofit will get a black eye for lending its name to an inferior or useless product. Affiliate marketing is different from hosting advertisements on a Web Site because the nonprofit can make a very strong link between its mission and the sale. (This should keep the nonprofit on the correct side of the unrelated business income tax, but it is wise to consult an experienced lawyer to be sure.) With Internet affiliate marketing, the organization is really advertising one or a few products at a time, not an entire commercial entity. Affiliate marketing is not the same as signing up as a member of a company's charitable donation network, as when a local grocery store chain provides an organization with a card that is scanned, with a certain percentage of the amount purchased going to the nonprofit. Agencies should sign up for such programs and promote them. But, in this situation, there is no clear connection between the nonprofit's mission and the grocery store. It is simply a way to receive corporate donations. A nonprofit can begin affiliate marketing in two ways: (1) by linking to a company (as in the grocery store example) and (2) by promoting specific products that are directly beneficial to the targeted audience. …
A.h. Sung - One of the best experts on this subject based on the ideXlab platform.
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Web Site Visitor classiflcation using machine learning
Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004Co-Authors: P. Defibaugh-chavez, Srinivas Mukkamala, A.h. SungAbstract:Classifying Web Site Visitors allows organizations to present customized content and effectively allocate resources. Traditional methods of Visitor classification involve tracking individual users over many sessions via a unique identifier such as the IP address or a cookie. These methods are either too general or strip the Visitor of a level of privacy. In this paper we use machine learning techniques to classify Visitors of a data-centric Web Site using a minimal amount of information and without a unique identifier. We are able to group Visitors into groups without extended user tracking.
Mark Earl Paul Plutowski - One of the best experts on this subject based on the ideXlab platform.
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Web Site Visitor emulator for load testing
1999Co-Authors: Steven Kenneth Howard, David Charles Martin, Mark Earl Paul PlutowskiAbstract:A method for emulating behaviour of Web Site Visitors comprises initialising an emulated distribution (304) having data reflecting decisions made by Visitors during a traversal of the Web Site, randomly selecting a number of Visitors from the emulated distribution, traversing the Site with these Visitors (306), and ending the emulation session. A subset of the distribution may be emulated, and an entry page distribution may be created with transition probabilities for selected actions of an emulated Visitor. A maximum clickstream length may be set, the emulated clickstream being randomly selected. A list of candidate links may be generated, which may be sorted by type and weighted in a link type preference distribution. Candidate links in the distribution with a specific weight may then be ignored.
P. Defibaugh-chavez - One of the best experts on this subject based on the ideXlab platform.
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Web Site Visitor classiflcation using machine learning
Fourth International Conference on Hybrid Intelligent Systems (HIS'04), 2004Co-Authors: P. Defibaugh-chavez, Srinivas Mukkamala, A.h. SungAbstract:Classifying Web Site Visitors allows organizations to present customized content and effectively allocate resources. Traditional methods of Visitor classification involve tracking individual users over many sessions via a unique identifier such as the IP address or a cookie. These methods are either too general or strip the Visitor of a level of privacy. In this paper we use machine learning techniques to classify Visitors of a data-centric Web Site using a minimal amount of information and without a unique identifier. We are able to group Visitors into groups without extended user tracking.
Mark Sifer - One of the best experts on this subject based on the ideXlab platform.
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querying Web Site Visitor trend data with coordinated nested bar and pie charts
VIP '01 Proceedings of the Pan-Sydney area workshop on Visual information processing - Volume 11, 2001Co-Authors: Mark SiferAbstract:Bar charts and pie charts are traditional ways of displaying trends and proportions in a data set. However, static charts don't scale well. We introduce a technique which does scale, an interactive browser design which uses aggregation and zooming to support bar and pie charts with thousands of items. Further, once a chart has many elements a user needs to be able to explore subsets of the data. We use a second view of the data, shown as a second chart as a scalable filter for selecting subsets. We present our design and its implementation in the SGViewer tool, and demonstrate with visit data taken from a Web Site log.