Successful Online Display Advertising
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Point of Sale: the Heart of Retailing
POINT OF SALE: THE HEART OF RETAILING Analysis and insights on the latest trends in retail: artificial intelligence, Quick Service Restaurants, and more Capgemini has deep expertise in retail and digital transformation. This is a proficiency developed over countless projects, including those centered on a critical element of retail technology: the Point of Sale. Whether it is called Point of Sale, Point of Service, Point of Contact, or some similar name that encompasses both online and offline purchases, the goal is a financial transaction and, regardless of the name, the interaction with the customer is what ultimately matters most. The market for Point of Sale (POS) evaluation of their POS solution Intel has positioned solutions has changed dramatically only once every 10 to 15 years, over the last couple of years. there is limited knowledge and the following Acquisitions, omnichannel strategy, experience available to complete market trends as demand for a lower Total Cost of the evaluation internally. Ownership (TCO), introduction of influencing the need cloud-based POS solutions, and To help retailers accelerate the for innovative POS the need for real-time analytics POS vendor selection process, capabilities have transformed the Capgemini has developed a proven solutions: industry. As a result, retailers are methodology. The Capgemini POS increasingly confused about the tool, supported by Intel, is a crucial • New store experience-focused route to take when selecting a part of this process. Using this tool capabilities in an era of new POS solution. Just taking the and Capgemini’s methodology, omnichannel commerce most recent Forrester Wave: Point retailers are able to reduce the of Service report or Gartner Magic time taken from identifying a long • Customer demand for Quadrant can provide a starting list of potential vendors to making frictionless experiences, point with some insight on leading their final selection. -
Digital Marketing Services
DIGITAL Digital Marketing Services Digital Marketing Services Leverage our extensive data network and our full suite of digital marketing solutions to engage with customers and prospects on their home and mobile devices. 800-732-3440 [email protected] www.AccuData.com We Take Data Personally DIGITAL Digital Marketing Services Location-Based Targeting & Digital Advertising Location-Based Targeting & Digital Advertising Addressable GeoFence Digital Display Advertising Target your direct mail audience online via their IP address for a digital touchpoint and increased rate of conversion. Utilizes a proprietary matching logic to serve your digital ads to consumer devices that are connected to the IP address of the home you are targeting. Client loyalty files or prospect target lists may be used. Typical match rate is 90%. How it Works: An algorithm matches the physical (postal) address to plat line data to collect the exact size and shape of the matched address. The postal address is then matched to the IP router. When a device is connected to the router, that device is identified. Plat line accuracy limits the amount of impressions served to the wrong household, mitigating wasted budget. Mobile GeoFence Digital Display Advertising Reach customers and prospects present at a specified location, in real time. Consumers browsing the internet or initiating an app session where mobile ad placements are supported will receive your highly relevant display ads on their mobile devices. This solution is ideal for marketers wishing to target prospects who are present at arenas, conventions, hotels, or the locations of their competitors. Mobile GeoFollow Digital Display Advertising Take Mobile GeoFence one step further! Target consumers who are present at a specified location in real time, then continue to advertise to them once they leave. -
Online Advertising
Online advertising From Wikipedia, the free encyclopedia Jump to: navigation, search This article may require cleanup to meet Wikipedia's quality standards. Please improve this article if you can. (July 2007) Electronic commerce Online goods and services Streaming media Electronic books Software Retail product sales Online shopping Online used car shopping Online pharmacy Retail services Online banking Online food ordering Online flower delivery Online DVD rental Marketplace services Online trading community Online auction business model Online wallet Online advertising Price comparison service E-procurement This box: view • talk • edit Online advertising is a form of advertising that uses the Internet and World Wide Web in order to deliver marketing messages and attract customers. Examples of online advertising include contextual ads on search engine results pages, banner ads, advertising networks and e-mail marketing, including e-mail spam. A major result of online advertising is information and content that is not limited by geography or time. The emerging area of interactive advertising presents fresh challenges for advertisers who have hitherto adopted an interruptive strategy. Online video directories for brands are a good example of interactive advertising. These directories complement television advertising and allow the viewer to view the commercials of a number of brands. If the advertiser has opted for a response feature, the viewer may then choose to visit the brand’s website, or interact with the advertiser through other touch points such as email, chat or phone. Response to brand communication is instantaneous, and conversion to business is very high. This is because in contrast to conventional forms of interruptive advertising, the viewer has actually chosen to see the commercial. -
CTR Prediction for Contextual Advertising: Learning-To-Rank Approach
CTR Prediction for Contextual Advertising: Learning-to-Rank Approach Yukihiro Tagami Shingo Ono Koji Yamamoto Yahoo Japan Corporation Yahoo Japan Corporation Yahoo Japan Corporation Tokyo, Japan Tokyo, Japan Tokyo, Japan [email protected] [email protected] koyamamo@yahoo- corp.jp Koji Tsukamoto Akira Tajima Yahoo Japan Corporation Yahoo Japan Corporation Tokyo, Japan Tokyo, Japan [email protected] [email protected] ABSTRACT if a user clicks their advertisements and visits the adver- Contextual advertising is a textual advertising displayed tiser’s site. To maximize revenue by choosing some ads from within the content of a generic web page. Predicting the candidates and ranking them to display, an advertising sys- probability that users will click on ads plays a crucial role in tem needs to predict the expected revenue for each ad. The contextual advertising because it influences ranking, filter- expected revenue from displaying each ad is a function of ing, placement, and pricing of ads. In this paper, we intro- both bid price and click-through rate (CTR). Bid price is duce a click-through rate prediction algorithm based on the the cost that the advertiser agrees to pay per click, so the learning-to-rank approach. Focusing on the fact that some advertising system already knows this. On the other hand, of the past click data are noisy and ads are ranked as lists, CTR for each ad can vary significantly in accordance with we build a ranking model by using partial click logs and then many factors such as the web page and user, so the system a regression model on it. -
NS17 FRI 330 Atz.Pdf
Online Marketing Tips From to Email Understanding techniques to help you market your business online using content, email marketing and metrics Cut Through the Noise ● Video ● Geotargeting ● Email Marketing ● Retargeting ● Online Advertising Video Video Video Video Video Takeaways ● You don’t need a big crew/big investment ● Post content regularly ● YT is great, consider FB Video/ FB Live ● Measure your success (views, subscribers & comments) Email Marketing Marketing campaigns via email can see 50-100x the CTR of a post on or Email Marketing ‘s email newsletters average 19.9% CTR compared to an industry average of 2.9% Email Marketing Email Marketing The Mobile Issue ● 67.2% of consumers use a smartphone to check email ● 75% of Gmail users access accounts on mobile devices ● By 2017, 2.282 million people will access email via mobile Email Marketing Takeaways ● Cultivate and maintain a good email list ● Great content + great images ● Don’t forget mobile ● Measure your success (opens, clicks) Online Advertising What types of direct online advertising do you do for your business? Online Advertising What metrics do you gather & How do use them? Online Advertising Takeaways ● Running ads doesn’t have to be complicated or time-consuming ● Numerous business exist today to make the service pain-free and hands-off ● Tailored to limited or giant budgets, fully customizable ● Measure your success (clicks, actions, Google Analytics) Geotargeting Geotargeting Geotargeting Geotargeting Geotargeting Geotargeting Takeaways ● Don’t waste $$ on attention -
Self-Regulatory Principles for Online Behavioral Advertising (FTC)
FTC Staff Report: Self-Regulatory Principles For Online Behavioral Advertising Behavioral Advertising Tracking, Targeting, & Technology February 2009 TABLE OF CONTENTS EXECUTIVE SUMMARY....................................................... i I. INTRODUCTION........................................................1 II. BACKGROUND.........................................................2 A. What Is Online Behavioral Advertising?.. 2 B. The FTC’s Examination of Online Behavioral Advertising. 4 1. Online Profiling Workshop.....................................6 2. Tech-ade Hearings and the Ehavioral Advertising Town Hall. 8 C. Staff’s Proposed Self-Regulatory Principles. 1 1 D. Recent Initiatives to Address Privacy Concerns. 1 2 III. SUMMARY OF THE COMMENTS RECEIVED AND STAFF’S ANALYSIS.. 1 8 A. The Principles’ Scope. .............................................2 0 1. Applicability to Non-PII. .....................................2 0 2. Applicability to “First Party” Online Behavioral Advertising. 2 6 3. Applicability to Contextual Advertising. 2 9 B. Transparency and Consumer Control...................................3 0 1. Choice for Non-PII...........................................3 1 2. Providing Effective Notice and Choice. 3 3 C. Reasonable Security and Limited Data Retention for Consumer Data. 3 7 D. Affirmative Express Consent for Material Retroactive Changes to Privacy Promises.........................................................3 9 E. Affirmative Express Consent to (or Prohibition Against) Use of Sensitive Data ............................................................4 -
Contextual In-Image Advertising
Contextual In-Image Advertising Tao Mei, Xian-Sheng Hua, Shipeng Li Microsoft Research Asia 5F Sigma Center, 49 Zhichun Road, Beijing 100190, P. R. China {tmei, xshua, spli}@microsoft.com ABSTRACT so called Web 2.0 wave) have led to the countless private The community-contributed media contents over the Inter- image collections on local computing devices such as per- net have become one of the primary sources for online adver- sonal computers, cell phones, and personal digital assistants tising. However, conventional ad-networks such as Google (PDAs), as well as the huge yet increasing public image col- AdSense treat image and video advertising as general text lections on the Internet. Compared with text and video, advertising without considering the inherent characteristics image has some unique advantages: it is more attractive of visual contents. In this work, we propose an innovative than plain text, and it has been found to be more salient contextual advertising system driven by images, which auto- than text [9], thus it can grab users’ attention instantly; it matically associates relevant ads with an image rather than carries more information that can be comprehended more the entire text in a Web page and seamlessly inserts the quickly, just like an old saying, a picture is worth thousands ads in the nonintrusive areas within each individual image. of words; and it can be shown to the users faster than video. The proposed system, called ImageSense, represents the first As a result, image has become one of the most pervasive me- attempt towards contextual in-image advertising. The rele- dia formats on the Internet [13]. -
Proving Marketing ROI: a Digital Marketing Framework
Bowling Green State University ScholarWorks@BGSU Master of Arts in Media and Communication Plan II Graduate Projects School of Media and Communication Summer 7-7-2017 Proving Marketing ROI: A Digital Marketing Framework Andrew Wiltsie Bowling Green State University, [email protected] Follow this and additional works at: https://scholarworks.bgsu.edu/ms_smc Part of the Advertising and Promotion Management Commons, Marketing Commons, Public Relations and Advertising Commons, and the Social Media Commons Recommended Citation Wiltsie, Andrew, "Proving Marketing ROI: A Digital Marketing Framework" (2017). Master of Arts in Media and Communication Plan II Graduate Projects. 2. https://scholarworks.bgsu.edu/ms_smc/2 This Plan II Graduate Project is brought to you for free and open access by the School of Media and Communication at ScholarWorks@BGSU. It has been accepted for inclusion in Master of Arts in Media and Communication Plan II Graduate Projects by an authorized administrator of ScholarWorks@BGSU. June 30, 2017 Proving Marketing ROI: A Digital Marketing Framework Andrew Wiltsie A master’s project submitted to the faculty of Bowling Green State University in partial fulfillment of the requirements for the degree of Master of Arts in Media and Communication with a Specialization in Strategic Communication Dr. Claudia Y. Owens, D.M. Date Approved: June 30, 2017 PROVING MARKETING ROI: A DIGITAL MARKETING FRAMEWORK ii Executive Summary The era of digital marketing has arrived full steam ahead, and there appears to be no end in sight. While the old-fashioned, proven methods of traditional marketing (such as television, radio, and print) still hold their place in shopper marketing today, the rapid evolution of technology caused by the Internet has led to a correspondingly rapid shift from traditional marketing to digital marketing channels. -
Impactful Marketing Tactics for Manufacturers Chris Ciunci | Managing Partner | Tribalvision Brand Manufacturers Are Increasingly Going Digital
Impactful Marketing Tactics for Manufacturers Chris Ciunci | Managing Partner | TribalVision Brand manufacturers are increasingly going digital Marketers are increasingly prioritizing mobile and social over traditional ad channels. There is also increased focus on owned and earned media over paid. Booz Allen Hamilton Strategy, “Reimagining shopper marketing.” Here’s a taste of the most effective B2B and B2C channels In a recent survey of both B2B and B2C professionals, website, email and social media were listed as top revenue generators. https://neilpatel.com/blog/marketing-channels/ The manufacturing industry still has so much opportunity to take advantage off when it comes to digital marketing 30% 58% 59% Only 30% of manufacturing Of manufacturers use website Of manufacturing marketers say that marketers feel that they are using analysis to learn about target fresh web design and mobile web and social content effectively audiences optimization have drastically improved their businesses 84% 3% 1% Of people searching for services in The best manufacturing sites only Of manufacturers assed their the manufacturing industry say see conversion rates of 3% vs. 10% content marketing as they use the internet as their average across most industries “sophisticated” starting point https://www.ironpaper.com/webintel/articles/manufacturing-marketing-trends-and-statistics/, https://www.protocol80.com/blog/manufacturing-marketing-statistics Manufacturers are not investing as much in marketing as other industries (just 8% of their budgets) https://www.onlinemarketinginstitute.org/blog/2018/07/infographic-digital-marketing-manufacturing-industry/ -
TARGET MARKETS for RETAIL OUTLETS of LANDSCAPE PLANTS Steven C
SOUTHERN JOURNAL OF AGRICULTURAL ECONOMICS JULY 1990 TARGET MARKETS FOR RETAIL OUTLETS OF LANDSCAPE PLANTS Steven C. Turner, Jeffrey H. Dorfman, and Stanley M. Fletcher Abstract male shoppers by age and education as an effective Merchandisers of landscape plants can increase retail strategy. With respect to landscape plants, the effectiveness of their marketing strategies by Turner investigated the influence of socioeconomic identifying target markets. Using a full information characteristics on retail purchases, while Gineo ex- maximum likelihood tobit procedure on a system of amined the characteristics of plants that influence three equations, target markets for different types of landscaper and retailer purchases. retail outlets in Georgia were identified. The results The objective was to investigate the socioeco- lend support and empirical evidence to the premise nomic characteristics of consumers that can be used that different retail outlet types have different target by different types of landscape plant retailers to markets and thus should develop different market segment their markets. This information can be used strategies. The estimated target markets are identi- in identifying different target markets, which could fled and possible marketing strategies suitable for lead to more efficient allocation of marketing and each type of retail outlet are suggested. advertising resources. Key words: landscape plants, target markets, THE MODEL simultaneous equations, tobit. Identifying target markets is important to retailers rT' u-, o ea of landscape plants (Phelps; Altorfer). The success he success of retail merchandisers in identifying of various retailer decisions, such as store location, target markets is important to plant growers. Orna- product pricing, and advertising strategies, are de- mental horticulture grower cash receipts grew from pendent on a better understanding of clientele. -
The Value of Behavioral Targeting By
The Value of Behavioral Targeting by Howard Beales1 This study seeks to provide an initial understanding of the effect of behaviorally targeted advertising on advertising rates and revenues. A survey of twelve ad networks was conducted to obtain quarterly data on pricing (CPM data), conversion rates, and revenues across various types of ad segments (run of network advertising and behavioral advertising). The survey results reveal three key findings: (1) Advertising rates are significantly higher for behaviorally targeted ads. The average CPM for behaviorally targeted advertising is just over twice the average CPM for run-of-network advertising. On average across participating networks, the price of behaviorally targeted advertising in 2009 was 2.68 times the price of run of network advertising. (2) Advertising using behavioral targeting is more successful than standard run of network advertising, creating greater utility for consumers from more relevant advertisements and clear appeal for advertisers from increased ad conversion. (3) Finally, a majority of network advertising revenue is spent acquiring inventory from publishers, making behavioral targeting an important source of revenue for online content and services providers as well as third party ad networks. This study was sponsored by the Network Advertising Initiative (NAI). The NAI is a coalition of more than 40 leading online marketing companies committed to building consumer awareness and reinforcing responsible business and data management practices and standards. For a description of the NAI and a list of its members, see http://www.networkadvertising.org/index.asp (last visited Mar. 3, 2010). 1. Howard Beales has been an Associate Professor at the School of Business at George Washington University since 1988. -
28 Buscadores Libro.Indb
notes fromebcenter The Converging Search Engine and Advertising Industries Av. Pearson, 21 08034 Barcelona Tel.: 93 253 42 00 Fax: 93 253 43 43 www.ebcenter.org Top Ten Technologies Project The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, research Assistant, e-business Center Pwc&IESE Editors: Larisa Tatge and Cristina Puig www.ebcenter.org This dossier is part of the Top Ten Technologies Project. For more information please visit http://www.ebcenter.org/topten You can an also find other projects at http://www.ebcenter.org/proyectos e-business Center PwC&IESE edits a newsletter every fifteen days, available at www.ebcenter.org © 2007. e-business Center PricewaterhouseCoopers & IESE. All rights reserved. notes fromebcenter The Converging Search Engine and Advertising Industries Authors: Prof. Brian Subirana, Information Systems, IESE Business School David Wright, Research assistant, e-business Center Pwc&IESE notes fromebcenter Table of Contents Executive Summary ..5 Introduction ..7 1. Technology Description ..9 1.1. History of Text-Based Search Engines ..9 1.2. Description of Applications ..9 1.3. Substitute Products ..11 2. Description of the Firms ..13 2.1. Search Engines and Their Technology ..14 2.2. Competitive Forces ..17 2.3. Consumer Preferences in Search ..22 2.4. New Search Technologies ..23 2.5. Search-Engine Optimization ..25 3. Affected Sectors ..27 3.1. Advertising ..27 3.2. Search-Engine Advertising ..28 3.3. How Search Advertising Works ..32 3.4. Digital Intermediaries ..38 3.5. Original Equipment Manufacturers (OEMs) ..39 3.6. Software and Applications Providers ..39 3.7.