Search results

The purpose of this paper is to conceptualize a model for sponsored search advertising by incorporating a number of factors which affect the performance of these ads.

The authors draw upon the professional experience and practitioner as well as academic literature to build and analyze the model. Propositions have been forwarded to delineate the various relationships at work in a sponsored search process.

The extant literature on this topic has so far been unable to provide a holistic overview. The paper offers propositions for explaining the role of various factors like the ad rank, branding, role of ad extensions and how impact of these factors may be sensitive to the device used for search.

This work is derived primarily from practice. It is hope that after due empirical validation, advertisers, users as well as search engines will benefit from this stream of research.

This is one of the first works to analyze a sponsored search ad at a micro level. It brings into focus one of the largely unexplored facets of sponsored search advertising.

The purpose of this study is to conduct a survey of Mexican millennials to measure the extent of negative bias and perceived advertising value they experienced toward the ads they encountered while performing a search for local products and services from their smartphones.

Using a paper survey with a scenario question, responses were collected from 1,215 millennial smartphone owners about the strategies they used for scanning mobile search organic and sponsored results and quickly reaching the information they needed when performing a mobile search. The 315 participants who reported clicking on ads were further surveyed on their perceptions of ad informativeness, entertainment, irritation and credibility. These constructs were used as the predictors of advertising value in a structural equations model which was estimated with partial least squares.

A substantial bias against sponsored results was found, with two-thirds of respondents skipping the ads when performing a mobile search from their smartphones. However, 28.2 per cent reported clicking on the most relevant result without regard to it being organic or sponsored, and an additional 5.6 per cent reported clicking on an ad as their first strategy. In the structural model, all four hypothesized antecedents of advertising value were significant, and some gender differences were detected.

With the increasing penetration of smartphones, and rapid growth of mobile search, these results are particularly relevant for local merchants, who can use mobile search ads to leverage their location and communicate with searching consumers at the precise moment when they are most receptive to timely and relevant advertising.

This study is the first to measure the extent of consumer bias against sponsored results in a mobile search, and the first empirical estimation of the advertising value of mobile-sponsored results.

This study aims to address the following research questions: Do the two types of service firms (individual or aggregator) have similar competitiveness on online search ads? How should the two types of service firms select optimal branded keywords to improve search performance? In addition, how do consumers’ search queries influence the service search performance of the two types of service firms?

In this study, the authors conduct an empirical analysis by building a two-stage choice modeling on the process of search engine ranking and consumer click-through decisions. The authors estimate the parameter coefficients and test the hypotheses using maximum likelihood estimation in the logistic regression model.

The empirical findings suggest that consumer response rates are highly dependent upon three aspects (service types, branded keyword strategy and consumer search query). First, the authors found that service aggregators receive greater consumer responses than individual service providers. Second, depending upon the various branded keyword strategies (e.g. generic vs branded, “within-type” vs “cross-type”) implemented by service aggregators or individual firms, the expected consumer responses could be quite different. Finally, customer’s search query, being either generic or branded, also has direct effect and interactive effect with service type on how consumers would response to the sponsored ads in the service search process.

The limitation of the research is twofold. First, conversion rate is not considered in the model estimation due to the nature of the data set. Second, the discussion about the keywords selection strategies is focusing on the hospitality industry. Future research shall further validate the generalizability into other industries.

First, given this competitive advantage, service aggregators should take an aggressive approach to adopting paid search strategy in acquiring new users and enhance its brand salience in the service ecosystem. Second, when considering other competitor’s brand names to include, if a firm is a service provider (e.g. hotel), a strategy that can help it receive higher consumer response would be to use “within-type” rather than “cross-type” branded keyword strategy. If a firm is a service aggregator, a better branded keyword strategy would be to use “across-type” instead of “within-type” approach. In addition, given that consumer’s brand awareness can influence the effectiveness of branded keyword strategy, online service search should target consumers in earlier stages of a decision journey.

The authors believe their theoretical framework can provide actionable solutions to service firms to ease customer’s search process, increase customer’s stickiness using search engines and add value to the customer relationships with all services entities within the digital ecosystem.

This study is the first to expand online search marketing into granule examinations (main and interactive effects of three key factors) in the service search domain. First, the authors differentiate service firms into two categories – online travel aggregators and individual hotels in the model. Second, the authors introduce two sets of new classifications of branded keywords for online service search research (i.e. own versus other brand and “cross-type” versus “within-type” branded keywords). Third, this study integrates service consumers’ search word specificity into the conceptual framework which is often missing in previous online search research.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds impartial comments and places the article in context.

Sponsored search accounts for around half of the current market which is dominated by major players Google, Yahoo and Bing. This process refers to advertisements chosen for each page and secured by companies that succeed in a bidding contest. Firms pay the search engines when users click on the sponsored links within their advertisement. When it comes to effective ways of attracting customers, sponsored search is up with the best of them. Not surprisingly, competition in the environment is becoming ever tougher. It is thus vital that businesses find ways to enhance the performance of their ads.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Google commands approximately 70 per cent of search market share worldwide, resulting in businesses investing heavily in search engine advertising on Google to target potential customers. Recently, Google changed the way in which content and ads were displayed on the search engine results page. This reshuffling of content and ads is expected to affect the advertisers who advertise on Google and/or use it to drive traffic to their websites. The purpose of this study is to analyze the impact of these changes on various stakeholders.

Data have been collected from various sources on the internet including blogs and discussion forums. Netnography has been used as it allows a detailed evaluation of the consumers’ needs, wants and choices in a virtual space.

The average cost-per-click for ads on the top positions is expected to increase. Advertisers whose ads usually occupy the lower positions would be adversely affected. To counter this, more emphasis should be placed on ad extensions and on product listing ads. In addition, organizations would benefit from increased efforts on search engine optimization.

A variety of coping strategies have been developed that can help marketers to successfully navigate through the change, including the use of ad extensions and the use of product listing ads.

This practice-focused paper offers guidelines for digital marketers to use sponsored search more effectively as part of their arsenal in light of some important changes recently made by Google. The potential of netnography as a research methodology has also been expanded by using it in a novel setting and in drawing up actionable insights.

Little research has focused on the quality and availability of interactive online support services retrieved through search engines. The purpose of this paper is twofold; first, to review and assess the availability and accessibility of interactive online support available to individuals in suicidal crisis. Second, to field test a new tool developed specifically to evaluate both the quality of online information and the quality of interactive support.

A collection of six terms relating to suicidal distress were generated and inputted across three major search engines (Google, Yahoo and Ask). Following initial exclusions, the remaining web sites were analysed using the SPAT (Site, Publisher, Audience and Timeliness) tool and recently developed COSAT (Crisis and Online Support Appraisal Tool) tool.

The quality of web sites retrieved was variable, with only 1.9 per cent deemed as high-quality interactive support resources. Google had the greatest precision of searching, but ease of access through search engines was generally limited. No significant difference was found in the quality of web sites located on pages 1 or 2 of search engine results. Overall, community and voluntary sector web sites averaged higher quality and interactive support rating's compared to publicly funded web sites.

The newly developed COSAT tool may provide a positive first step towards a standardised measure of online quality and interactive support, although further testing and validation is required with a larger sample size.

To the authors knowledge little research has focused on the quality and availability of interactive online support services retrieved through search engines.

The purpose of this paper is to identify the key elements that maximise sponsorship opportunities and that enable a successful relationship between a sponsor and a sponsored party.

The paper is based on a review of the literature and takes a case study approach. The paper first identifies the classic aspects of sponsor relationships and then explores new criteria to propose a brand model approach. Practical examples are taken out of the sailing team Alinghi who raced the America's Cup.

The paper suggests that the key success factor for a sponsored party is to act as a brand. This brand should have four strong pillars to build its brand essence: its own identity, a clear offer for a value creation process, an organisation to support this offer in line with strategic alliances of the sponsor and identified targets or consumers.

Sponsorship is part of the daily life of any business and can take many forms. Moreover, the large number of sponsorship opportunities does not help entities looking for financial support to stand out easily. However, few opportunities meet all criteria to build an effective sponsor relationship. The authors believe that a brand model approach is the best way to achieve such goal. Alinghi (America's Cup 2003 and 2007 winner) is a perfect example of this new approach.

The aim of this paper is to examine the impact of three main technologies on converting browsers into customers: impact of review rating (location rating and service rating), recommendation and search listings.

This paper estimates conversion rate model parameters using a quasi-likelihood method with the Bernoulli log-likelihood function and parametric regression model based on the beta distribution.

The results show that a high rank in search listings, a high number of recommendations and location rating have a significant and positive impact on conversion rates. However, service rating and star rating do not have a significant effect on conversion rate. Furthermore, room price and hotel size are negatively associated with conversion rate. It was also found that a high rank in search listings, a high number of recommendations and location rating increase online hotel bookings. Furthermore, it was found that a high number of recommendations increase the conversion rate of hotels with low ranks.

The findings show that hotels’ location ratings are more important than both star and service ratings for the conversion of visitors into customers. Thus, hotels that are located in convenient locations can charge higher prices. The results may also help entrepreneurs who are planning to open new hotels to forecast the conversion rates and demand for specific locations. It was found that a high number of recommendations help to increase the conversion rate of hotels with low ranks. This result suggests that a high numbers of recommendations mitigate the adverse effect of a low rank in search listings on the conversion rate.

This paper contributes to the understanding of the drivers of conversion rates in online channels for the successful implementation of hotel marketing.

The purpose of this paper is to model group advertising decisions, which are the collective decisions of every single advertiser within the set of advertisers who are competing in the same auction or vertical industry, and examine resulting market outcomes, via a proposed simulation framework named Experimental Platform for Search Engine Advertising (EXP-SEA) supporting experimental studies of collective behaviors in the context of search engine advertising.

The authors implement the EXP-SEA to validate the proposed simulation framework, also conduct three experimental studies on the aggregate impact of electronic word-of-mouth (eWOM), the competition level and strategic bidding behaviors. EXP-SEA supports heterogeneous participants, various auction mechanisms and also ranking and pricing algorithms.

Findings from the three experiments show that both the market profit and advertising indexes such as number of impressions and number of clicks are larger when the eWOM effect is present, meaning social media certainly has some effect on search engine advertising outcomes, the competition level has a monotonic increasing effect on the market performance, thus search engines have an incentive to encourage both the eWOM among search users and competition among advertisers, and given the market-level effect of the percentage of advertisers employing a dynamic greedy bidding strategy, there is a cut-off point for strategic bidding behaviors.

This is one of the first research works to explore collective group decisions and resulting phenomena in the complex context of search engine advertising via developing and validating a simulation framework that supports assessments of various advertising strategies and estimations of the impact of mechanisms on the search market.

Web search engines are frequently used by people to locate information on the Internet. However, not all queries have an informational goal. Instead of information, some people may be looking for specific web sites or may wish to conduct transactions with web services. This paper aims to focus on automatically classifying the different user intents behind web queries.

For the research reported in this paper, 130,000 web search engine queries are categorized as informational, navigational, or transactional using a k‐means clustering approach based on a variety of query traits.

The research findings show that more than 75 percent of web queries (clustered into eight classifications) are informational in nature, with about 12 percent each for navigational and transactional. Results also show that web queries fall into eight clusters, six primarily informational, and one each of primarily transactional and navigational.

This study provides an important contribution to web search literature because it provides information about the goals of searchers and a method for automatically classifying the intents of the user queries. Automatic classification of user intent can lead to improved web search engines by tailoring results to specific user needs.

The paper discusses how web search engines can use automatically classified user queries to provide more targeted and relevant results in web searching by implementing a real time classification method as presented in this research.

This research investigates a new application of a method for automatically classifying the intent of user queries. There has been limited research to date on automatically classifying the user intent of web queries, even though the pay‐off for web search engines can be quite beneficial.