Can Keyword Length Indicate Web Users’ Readiness to Purchase?
نویسندگان
چکیده
Over the last ten years, the internet has become an important marketing tool and a profitable selling channel. The biggest challenge for most online business is converting Web users into customers effectively and at a high rate. Understanding the audience of a website is essential for achieving high conversion rates. This paper describes the research carried out in online search behaviour. The research looks at whether the length of a Web user’s search keyword can provide insight into their intent and proposes an initial model for using keyword length to predict Web users’ readiness to convert when they land on a website.
منابع مشابه
Automatic keyword extraction using Latent Dirichlet Allocation topic modeling: Similarity with golden standard and users' evaluation
Purpose: This study investigates the automatic keyword extraction from the table of contents of Persian e-books in the field of science using LDA topic modeling, evaluating their similarity with golden standard, and users' viewpoints of the model keywords. Methodology: This is a mixed text-mining research in which LDA topic modeling is used to extract keywords from the table of contents of sci...
متن کاملBidding on the Buying Funnel for Sponsored Search and Keyword Advertising
In this research, we evaluate the effectiveness of the buying funnel as a model for understanding consumer interaction with keyword advertising campaigns on web search engines. We analyze data of nearly 7 million records from a 33 month, $56 million (US) search engine marketing campaign of a major US retailer. We classify key phrases used in this campaign into stages of the buying funnel (i.e.,...
متن کاملValidation of Lifelong Learning Tool for Public Librarians' Users in High Schools
Purpose: The purpose of this study is to validate the questionnaire on the lifelong learning readiness of high school users of public libraries. Methodology: This research is an applied and descriptive-correlational study. The statistical population consists of the high school users of public libraries from whom 201 students were selected by using the random sampling method. The questionnaire ...
متن کاملQoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering
Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
متن کاملAnswering Complex Queries in an Online Community Network
An online community network such as Twitter or amazon.com links entities (e.g., users, products) with various relationships (e.g., friendship, co-purchase) and make such information available for access through a web interface. The web interfaces of these networks often support features such as keyword search and “getneighbors” so a visitor can quickly find entities (e.g., users/products) of in...
متن کامل