Download or read book Keyword Recommender for Sponsored Search Advertising on Advertiser Side written by 鄭凱文 and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Understanding Sponsored Search written by Jim Jansen and published by Cambridge University Press. This book was released on 2011-07-25 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the underlying foundational elements, both theoretical and methodological, of sponsored search. As such, the contents are less affected by the ever-changing implementation aspects of technology. Rather than focusing on the how, this book examines what causes the how. Why do certain keywords work, while others do not? Why does that ad work well, when others that are similar do not? Why does a key phrase cost a given amount? Why do we measure what we do in keyword advertising? This book speaks to that curiosity to understand why we do what we do in sponsored search. The content flows through the major components of any sponsored search effort, regardless of the underlying technology or client or product. The book addresses keywords, ads, consumers, pricing, competitors, analytics, branding, marketing and advertising, integrating these separate components into an incorporated whole. The focus is on the critical elements, with ample illustrations and with enough detail to lead the interested reader to further inquiry.

Download or read book Mastering Search Advertising written by Richard Stokes and published by AdGooroo. This book was released on 2008-07 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mastering Search Advertising shares insight and professional guidance from an expert Internet marketer on how to launch, manage and improve already-existing pay-per-click campaigns, providing an inside look into a largely undiscovered and exciting industry. Richard Stokes, founder of AdGooroo, a leading search engine intelligence company, has over 15 years of experience in advertising and technology management and includes real-life examples, case studies and charts that reveal not only the basics of creating a pay-per-click campaign, but also break down the intricacies of the process into simple, easy-to-understand steps that will help any business leader focused on achieving a world-class marketing strategy. Successful tactics known only to a handful of elite search marketers are discussed in detail and include specific techniques on how to: Increase search traffic while simultaneously lowering costs Conduct keyword research Determine the best starting bid prices for new keywords Manage bids without expensive bid management software Launch a new campaign Understand the Google quality score algorithm Stop throwing your marketing dollars away and learn how to dominate Google AdWords today! "A well researched, truthful, and up-to-date guide for pay-per-click marketers." Mike Mindel, CTO, Wordtracker.com

Download or read book A Model of Individual Keyword Performance in Paid Search Advertising written by Oliver J. Rutz and published by . This book was released on 2014 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: In paid search advertising on Internet search engines, advertisers bid for specific keywords, e.g. quot;Rental Cars LAX,quot; to display a text ad in the sponsored section of the search results page. The advertiser is charged when a user clicks on the ad. Many of the keywords in paid search campaigns generate few, if any, sales conversions - even over several months. This sparseness makes it difficult to assess the profit performance of individual keywords and has led to the practice of managing large groups of keywords together or relying on easy-to-calculate heuristics such as click-through rate (CTR). The authors develop a model of individual keyword conversion that addresses the sparseness problem. Conversion rates are estimated using a hierarchical Bayes binary choice model. This enables conversion to be based on both word-level covariates and shrinkage across keywords. The model is applied to keyword-level paid search data containing daily information on impressions, clicks and reservations for a major lodging chain. The results show that including keyword-level covariates and heterogeneity significantly improves conversion estimates. A holdout comparison suggests that campaign management based on the model, i.e., estimated cost-per-sale on a keyword level, would outperform existing managerial strategies.

Download or read book Understanding Sponsored Search written by Jim Jansen and published by Cambridge University Press. This book was released on 2011-07-25 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the underlying foundational elements, both theoretical and methodological, of sponsored search. As such, the contents are less affected by the ever-changing implementation aspects of technology. Rather than focusing on the how, this book examines what causes the how. Why do certain keywords work, while others do not? Why does that ad work well, when others that are similar do not? Why does a key phrase cost a given amount? Why do we measure what we do in keyword advertising? This book speaks to that curiosity to understand why we do what we do in sponsored search. The content flows through the major components of any sponsored search effort, regardless of the underlying technology or client or product. The book addresses keywords, ads, consumers, pricing, competitors, analytics, branding, marketing, and advertising, integrating these separate components into an incorporated whole. The focus is on the critical elements, with ample illustrations, and with enough detail to lead the interested reader to further inquiry.

Download or read book Understanding Sponsored Search written by Professor Jim Jansen and published by . This book was released on 2014-05-14 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the underlying foundational elements, both theoretical and methodological, of sponsored search. As such, the contents are less affected by the ever-changing implementation aspects of technology. Rather than focusing on the how, this book examines what causes the how. Why do certain keywords work, while others do not? Why does that ad work well, when others that are similar do not? Why does a key phrase cost a given amount? Why do we measure what we do in keyword advertising? This book speaks to that curiosity to understand why we do what we do in sponsored search. The content flows through the major components of any sponsored search effort, regardless of the underlying technology or client or product. The book addresses keywords, ads, consumers, pricing, competitors, analytics, branding, marketing, and advertising, integrating these separate components into an incorporated whole. The focus is on the critical elements, with ample illustrations, and with enough detail to lead the interested reader to further inquiry.

Download or read book Keyword Management Costs and Broad Match in Sponsored Search Advertising written by Wilfred Amaldoss and published by . This book was released on 2015 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: In sponsored search advertising, advertisers bid to be displayed in response to a keyword search. The operational activities associated with participating in an auction -- submitting the bid and the ad copy, customizing bids and ad copies based various factors (such as the geographical region the query originated from, the time of day and the season, the characteristics of the searcher) and continuously measuring outcomes -- involve considerable effort. We call the costs that arise from such activities as keyword management costs. To reduce these costs and increase advertisers' participation in keyword auctions, search engines offer an opt-in tool called broad match with automatic and flexible bidding, wherein the search engine automatically places bids on behalf of the advertisers and takes over the above activities as well. The bids are based on the search engine's estimates of the advertisers' valuations and, therefore, may be less accurate than the bids the advertisers would have turned in themselves. Using a game-theoretic model, we examine the strategic role of keyword management costs, and of broad match, in sponsored search advertising. We show that because these costs inhibit participation by advertisers in keyword auctions, the search engine has to reduce the reserve price, which reduces the search engine's profits. This motivates the search engine to offer broad match as a tool to reduce keyword management costs. If the accuracy of broad match bids is high enough, advertisers adopt broad match and benefit from the cost reduction, whereas if the accuracy is very low, advertisers do not use it. Interestingly, at moderate levels of bid accuracy, advertisers individually find it attractive to reduce costs by using broad match, but competing advertisers also adopt broad match and the increased competition hurts all advertisers' profits, and thus a “prisoner's dilemma” arises. Adoption of broad match by advertisers increases search engine profits, and it therefore seems natural to expect that the search engine will be motivated to improve broad match accuracy. Our analysis shows that the search engine will increase broad match accuracy up to the point where advertisers choose broad match, but increasing the accuracy any further reduces the search engine's profits.

Download or read book Investigating the Spillover Effect of Keyword Market Entry in Sponsored Search Advertising written by Shijie Lu and published by . This book was released on 2019 with total page 63 pages. Available in PDF, EPUB and Kindle. Book excerpt: As Internet advertising infomediaries nowadays provide rich competition information, sponsored search advertisers are becoming more strategic when selecting keywords. This paper empirically examines the spillover effects in advertisers' keyword market entry decisions, that is, how an advertiser's likelihood of using a keyword is affected by competitors' keyword entry decisions. We develop a structural model to characterize advertisers' keyword market entry decisions. We apply the model to a panel dataset of 1,252 laptop-related keywords mainly used by 28 manufacturers, retailers, and comparison websites that advertise on Google. Our analysis leads to several interesting findings. First, an advertiser's expected position affects the nature of the competition. In particular, the spillover effect from below-ranked competitors is always positive, while the spillover effect from above-ranked competitors is either positive or negative. Second, the spillover effect from above-ranked ads is directionally affected by firms' product-line characteristics: the effect among firms offering homogenous products (e.g. comparison sites) is negative, whereas the effect among firms with more differentiated products (e.g. manufacturers and retailers) is positive. Third, the spillover effect from above-ranked ads is directionally affected by firms' positions in a distribution channel: the effect from upstream (downstream) on downstream (upstream) firms tends to be negative (positive). Finally, a downstream firm is more likely to learn new keywords from an upstream firm but not vice versa. Our counterfactual simulations demonstrate that the keyword-specific competition information provided by infomediaries can improve the search engine's revenue by about 5.7%.

Download or read book An Advertiser Centered Approach to Improve Sponsored Search Effectiveness written by Bhanu Chandra Vattikonda and published by . This book was released on 2015 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored search is a form of advertising where advertisers pay a search engine to show their ads on the search engine results page. The ads, also known as sponsored results, are chosen and presented to the user in response to a user query alongside organic search results. Sponsored search holds the promise of allowing advertisers to precisely target their ads to the large number of users of a search engine. The rise in use of search engines and the opportunity they provide to target ads using fine-grained criteria has led to a 20% annual growth in sponsored search revenues over the last decade. The targeting criteria chosen by an advertiser for their ads allow a search engine to deliver the ads to the right users. At the same time, it also puts the onus on the advertiser to identify the right ad targeting criteria. In this dissertation, we take a two-pronged approach to improve the effectiveness of sponsored search in delivering value to advertisers and improve the quality of results shown to users. First, we improve the ability of a search engine to interpret the targeting criteria specified by the advertiser. As part of the targeting criteria advertisers submit ad keywords which specify the user queries for which they would like to advertise. We leverage the search engine itself to interpret an ad keyword by submitting the ad keyword as an independent query. Using the search results of the ad keyword associated with an ad we determine if the ad is suitable for the original user query. We then analyze the effectiveness of different targeting strategies followed by advertisers. We develop a simple metric called net acquisition benefit (NAB) that admits comparisons between the efficacy of different ad targeting strategies. Using this metric, we conduct the first large-scale measurement of different targeting strategies used by advertisers---measured in terms of incremental conversion gains. Considering data from a month in early 2015, we employ NAB to identify cases where these targeting strategies are justified.

Download or read book Simple Guide to Paid Keyword Advertising written by and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Sponsored Search Auctions written by Song Yao and published by Now Publishers Inc. This book was released on 2009 with total page 66 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored Search Auctions reviews current academic research on this nascent topic with a focus on future practical and research opportunities

Download or read book Marketing with AI For Dummies written by Shiv Singh and published by John Wiley & Sons. This book was released on 2024-08-22 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stay ahead in the marketing game by harnessing the power of artificial intelligence Marketing with AI For Dummies is your introduction to the revolution that’s occurring in the marketing industry, thanks to artificial intelligence tools that can create text, images, audio, video, websites, and beyond. This book captures the insight of leading marketing executive Shiv Singh on how AI will change marketing, helping new and experienced marketers tackle AI marketing plans, content, creative assets, and localized campaigns. You’ll also learn to manage SEO and customer personalization with powerful new technologies. Peek at the inner workings of AI marketing tools to see how you can best leverage their capabilities Identify customers, create content, customize outreach, and personalize customer experience with AI Consider how your team, department, or organization can be retooled to thrive in an AI-enabled world Learn from valuable case studies that show how large organizations are using AI in their campaigns This easy-to-understand Dummies guide is perfect for marketers at all levels, as well as those who only wear a marketing hat occasionally. Whatever your professional background, Marketing with AI For Dummies will usher you into the future of marketing.

Download or read book Get Rich Click written by Marc Ostrofsky and published by Simon and Schuster. This book was released on 2013-01-08 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Internet is changing the way business is conducted and fortunes are made. "Get Rich Click!" shows readers how to jump in and begin making money online immediately.

Download or read book Keyword Segmentation Campaign Organization and Budget Allocation in Sponsored Search Advertising written by Derek Visser and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored search advertising, where search providers allow advertisers to participate in a real-time auction and compete for ad slots on search engine results pages (SERPs), is currently one of the most popular advertising channels by marketers. Some domains such as Amazon.com allocate in millions of dollars a month to their sponsored search campaigns. Considering the amount of money allocated to sponsored search as well as the dynamic nature of keyword advertising process, the campaign budget planning decision is a non-trivial task for advertisers. Budget constrained advertisers must consider a number of factors when deciding how to organize campaigns, how much budget to allocate to them, and which keywords to bid on. Specifically, they must decide how to spend budget across planning horizons, markets, campaigns, and ad groups. In this thesis, I develop a simulation model that integrates the issues of keyword segmentation, campaign organization, and budget allocation in order to characterize different budget allocation strategies and understand their implications on search advertising performance. Using the buying funnel model as the basis of keyword segmentation and campaign organization, I examine several budget allocation strategies (i.e., search Volume-based, Cost-based, and Clicks-based) and evaluate their performance implications for firms that may pursue different marketing objectives based on industry and or product/service offerings. I evaluate the simulation model using four fortune 500 companies as cases and their keyword advertising data obtained from Spyfu.com. The results and statistical analysis shows significant improvements in budget utilization using the above-mentioned allocation strategies over a Baseline strategy commonly used in practice. The study offers a unique insight into the budget allocation problem in sponsored search advertising by leveraging a theoretical framework for keyword segmentation, campaign management, and performance evaluation. It also provides insights for advertiser on operational issues such as keyword categorization and campaign organization and prioritization for improved performance. The proposed simulation model also contributes a valid experimental environment to test further decision scenarios, theoretical frameworks, and campaign allocation strategies in sponsored search advertising.

Download or read book A Dynamic Model of Sponsored Search Advertising written by Song Yao and published by . This book was released on 2014 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sponsored search advertising is ascendant -- Jupiter Research reports expenditures rose 28% in 2007 to $8.9B and will continue to rise at a 26% CAGR, approaching 1/2 the level of television advertising and making it one of the major advertising trends to affect the marketing landscape. Yet little empirical research exists to explore how the interaction of various agents (searchers, advertisers, and the search engine) in keyword markets affects consumer welfare and firm profits. The dynamic structural model we propose serves as a foundation to explore these outcomes. We fit this model to a proprietary data set provided by an anonymous search engine. These data include consumer search and clicking behavior, advertiser bidding behavior, and search engine information such as keyword pricing and website design.With respect to the advertisers, we find evidence of dynamic bidding behavior. Advertiser value for clicks on their sponsored links averages about 26 cents. Given the typical $22 retail price of the software products advertised on the considered search engine, this implies a conversion rate (sales per click) of about 1.2%, well within common estimates of 1-2% (gamedaily.com). With respect to consumers, we find that frequent clickers place a greater emphasis on the position of the sponsored advertising link. We further find that about 10% of consumers do 90% of the clicks.We then conduct several policy simulations to illustrate the effects of changes in search engine policy. First, we find the search engine obtains revenue gains of 1% by sharing individual level information with advertisers and enabling them to vary their bids by consumer segment. This also improves advertiser revenue by 6% and consumer welfare by 1.6%. Second, we find that a switch from a first to second price auction results in truth telling (advertiser bids rise to advertiser valuations). However, the second price auction has little impact on search engine profits. Third, consumer search tools lead to a platform revenue increase of 2.9% and an increase of consumer welfare by 3.8%. However, these tools, by reducing advertising exposures, lower advertiser profits by 2.1%.

Download or read book The Impact of Competing Ads on Click Performance in Sponsored Search written by Ashish Agarwal and published by . This book was released on 2016 with total page 57 pages. Available in PDF, EPUB and Kindle. Book excerpt: Our research examines the impact of competing ads on click performance of an ad in Sponsored Search. We use a unique dataset of 1267 advertiser keyword pairs with differing ad quality related to 360 keywords from a search engine to evaluate the click performance. We find that competing high quality ads, appearing above the focal ad, have a lower negative effect on the click performance as compared to competing low quality ads. We also find that this effect of competing ads varies with the ad position and the type of keyword. In general, the negative effect of competing high quality ads decreases at low positions as compared to high positions. Further this decrease in the negative effect of competing high quality ads is more substantial for specific keywords. Our results reveal consumer behavior in evaluating different quality ads in sponsored search. More specifically, our results suggest that consumers use the presence of high quality competing ads as a signal of higher quality of the focal ad. Our findings can help advertisers better evaluate their relative performance for different positions for different types of keywords. This can also help evaluate the efficacy of the auction design.

Download or read book Examining the Impact of Keyword Ambiguity on Search Advertising Performance written by Jing Gong and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we explore how keyword ambiguity can affect search advertising performance. Consumers arrive at search engines with diverse interests, which are often unobserved and nontrivial to predict. The search interests of different consumers may vary even when they are searching using the same keyword. In our study, we propose an automatic way of examining keyword ambiguity based on probabilistic topic models from machine learning and computational linguistics. We examine the effect of keyword ambiguity on keyword performance using a hierarchical Bayesian approach that allows for topic-specific effects and nonlinear position effects, and jointly models click-through rate (CTR) and ad position (rank). We validate our study using a novel data set from a major search engine that contains information on consumer click activities for 2,625 distinct keywords across multiple product categories from 10,000 impressions. We find that consumer click behavior varies significantly across keywords, and such variation can be partially explained by keyword ambiguity. Specifically, higher keyword ambiguity is associated with higher CTR on top-positioned ads, but also a faster decay in CTR with screen position. Therefore, the overall effect of keyword ambiguity on CTR varies across positions. Our study provides implications for advertisers to improve the prediction of keyword performance by taking into account keyword ambiguity and other semantic characteristics of keywords. It can also help search engines design keyword planning tools to aid advertisers when choosing potential keywords.