Impact of Retargeted Display Advertising on Multichannel Customer Browsing & Purchase
Impact of Retargeted Display Advertising on Multichannel Customer Browsing & Purchase

Author: Min Tian

Publisher:

Published: 2019

Total Pages: 91

ISBN-13:

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Retargeted display advertising is one of the most popular and growing forms of digital marketing. The main problem in analyzing retargeted display ads is selection bias. I use data from a randomized field experiment to identify the causal impacts of an individually-targeted display advertising campaign on both digital and traditional channels. The field experiment was conducted on the cookie level and I aggregate the data to the individual level for the analysis. Overall, online visits decrease, but web and store purchases increase in response to retargeted display ad campaigns. I find the effect of the retargeted display advertising campaign is not only contemporaneous but also carries over for several days after a consumer leaves the treatment group. The retargeted ad campaign effect also depends on a consumer's distance from a store. Consumers living near a store tend to visit the website as a response to the retargeted ad campaign more than consumers who live farther from a store. In terms of purchasing, people tend to choose the lower cost channel to shop: nearby consumers go to the store as the purchase response to the retargeted ad campaign, and distant consumers go to the online website to place an order in response to the retargeted ad campaign. Methodologically, I provide a novel model to measure individual consumer response along the purchase funnel from consideration to purchase. The model takes into account the cumulative display advertising campaign effect using the ad-stock approach and allows for individual customer heterogeneity in both decay and response. Empirically, I find a significant lift attributable to contemporaneous and carryover effects. Further, this lift manifests both in purchases and across channels.

Getting Multi-Channel Distribution Right
Getting Multi-Channel Distribution Right

Author: Kusum L. Ailawadi

Publisher: John Wiley & Sons

Published: 2020-04-14

Total Pages: 387

ISBN-13: 1119632889

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Getting Multi-Channel Distribution Right provides a comprehensive treatment of modern distribution strategy that is analytically solid, clearly written, and relevant for managers as well as MBA and executive MBA students, and the professors who train them. It covers concepts, metrics, tools, and strategic frameworks for managing distribution in physical and digital channels. Focusing on the challenges of managing multiple channels of distribution in an evolving marketplace—rather than the process of designing a distribution channel from scratch—it leans more heavily on metrics and tools and incorporates perspectives from academic research, as well as in-depth case studies from marketing and general management practice. Introduces an organizing framework of pull and push marketing for how suppliers work together with their channel partners. Integrates across physical and digital, independent and company-owned, routes to market. Maps the functions of traditional and newer intermediaries in the channel ecosystem and identifies the root causes of conflict between them. Provides tools and frameworks for how much distribution coverage is required and where. Shows how product line, pricing, trade promotions, and other channel incentives can help to coordinate multiple channels and manage conflict. Illustrates how push and pull metrics can be combined into valuable dashboards for identifying positive feedback opportunities and sustaining the channel partnership. With the help of Getting Multi-Channel Distribution Right you’ll discover how to successfully develop, execute, and adapt distribution strategy to the evolving marketplace.

Customer Acquisition Via Display Advertising Using Multi-Armed Bandit Experiments
Customer Acquisition Via Display Advertising Using Multi-Armed Bandit Experiments

Author: Eric M. Schwartz

Publisher:

Published: 2016

Total Pages: 68

ISBN-13:

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Firms using online advertising regularly run experiments with multiple versions of their ads since they are uncertain about which ones are most effective. Within a campaign, firms try to adapt to intermediate results of their tests, optimizing what they earn while learning about their ads. But how should they decide what percentage of impressions to allocate to each ad? This paper answers that question, resolving the well-known "learn-and-earn'' trade-off using multi-armed bandit (MAB) methods. The online advertiser's MAB problem, however, contains particular challenges, such as a hierarchical structure (ads within a website), attributes of actions (creative elements of an ad), and batched decisions (millions of impressions at a time), that are not fully accommodated by existing MAB methods. Our approach captures how the impact of observable ad attributes on ad effectiveness differs by website in unobserved ways, and our policy generates allocations of impressions that can be used in practice. We implemented this policy in a live field experiment delivering over 700 million ad impressions in an online display campaign with a large retail bank. Over the course of two months, our policy achieved an 8% improvement in the customer acquisition rate, relative to a control policy, without any additional costs to the bank. Beyond the actual experiment, we performed counterfactual simulations to evaluate a range of alternative model specifications and allocation rules in MAB policies. Finally, we show that customer acquisition would decrease about 10% if the firm were to optimize click through rates instead of conversion directly, a finding that has implications for understanding the marketing funnel.

Digital and Social Media Marketing
Digital and Social Media Marketing

Author: Nripendra P. Rana

Publisher: Springer Nature

Published: 2019-11-11

Total Pages: 337

ISBN-13: 3030243745

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This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.

Display Advertising's Impact
Display Advertising's Impact

Author: Paul Hoban

Publisher:

Published: 2017

Total Pages: 51

ISBN-13:

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In this paper, we investigate ways to accurately assess and enhance display advertising effectiveness. We construct a two-month panel of browsing behavior data that covers nearly one million users, and over 24 million display ad impressions served on behalf of 400 advertisers. We discuss the importance of accounting for two types of selection biases: targeting rules and the consumer's browsing intensity. When ignored, selection effects overstate display advertising response by more than five-fold, with browsing intensity accounting for one-third of this bias, and targeting accounting for the remaining two-thirds. Finally, we investigate the relative impact of entertainment and outcome oriented browsing on consumer response to display advertising, and examine whether such a relationship holds equally well for advertising campaigns that focus on early and late stages of the purchase cycle. We show that consumers are nearly twice as responsive when browsing in an entertainment oriented state, that a campaign targeting entertainment oriented users is expected to generate a 15.3% more conversions, and these effects are strongest in the early stages of the purchase cycle.

Towards a Digital Attribution Model
Towards a Digital Attribution Model

Author: Anindya Ghose

Publisher:

Published: 2016

Total Pages: 40

ISBN-13:

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The increasing availability of individual-level data has raised the standards for measurability and accountability in digital advertising. Using a massive individual-level data set, our paper captures the effectiveness of display advertising across a wide range of consumer behaviors. Two unique features of our data set that distinguish this paper from prior work are: (i) the information on the actual viewability of impressions and (ii) the duration of exposure to the display advertisements, both at the individual-user level. Employing a quasi-experiment enabled by our setting, we use difference-in-differences and corresponding matching methods as well as instrumental variable techniques to control for unobservable and observable confounders. We empirically demonstrate that mere exposure to display advertising increases users' propensity to search for the brand and the corresponding product; consumers engage both in active search exerting effort to gather information, and in passive search using information sources that arrive exogenously. We also find statistically and economically significant effect of display advertising on increasing consumers' propensity to make a purchase. Furthermore, our findings reveal that the longer the duration of exposure to display advertising, the more likely the consumers are to engage in direct search behaviors (e.g., direct visits) rather than indirect ones (e.g., search engine inquiries). We also study the effects of various types of display advertising (e.g., prospecting, retargeting, affiliate targeting, video advertising, etc.) and the different goals they achieve. Our framework for evaluating display advertising effectiveness constitutes a stepping stone towards causally addressing the digital attribution problem.

Effectiveness of Online Marketing Campaigns
Effectiveness of Online Marketing Campaigns

Author: Sebastian Klapdor

Publisher: Springer Science & Business Media

Published: 2013-02-19

Total Pages: 146

ISBN-13: 3658017325

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​Internet advertising has come off age; yet little is known in research and practice about how digital channel advertising really works. The empirical research in this thesis intends to fill this gap and shed light on the effectiveness of online advertising. Two studies are conducted that focus on multichannel online advertising and search engine advertising, the single-most important online ad channel. In an interdisciplinary approach, both studies first develop comprehensive theoretical models based on existing work in related research fields—for example, marketing and information retrieval. This approach pays off and leads to new and insightful findings: - There are synergies in multichannel online advertising: purchase propensity increases when consumers receive advertising messages through multiple channels. - The channel order can influence the conversion probability. - Click-through rates in search engine advertising are influenced through various keyword criteria on semantic and syntactic level The results of this thesis constitute an important starting point for future research in online advertising. Furthermore, the results enable practitioners to improve the effectiveness of online advertising through a more differentiated campaign management approach. Based on its findings, the thesis outlines how a future integrated approach to online advertising could look like.

Modeling Multi-Channel Advertising Attribution Across Competitors
Modeling Multi-Channel Advertising Attribution Across Competitors

Author: Yiyi Li

Publisher:

Published: 2017

Total Pages: 58

ISBN-13:

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The bursts and multiplicity of Internet advertising have made multi-channel attribution an immediate challenge for marketing practitioners. Existing attribution models predominantly focus on analyzing consumers' converting path with respect to one focal firm while largely overlooking the impact of their interactions with competing firms, leading to biased advertising effectiveness estimates. We address this problem by developing an integrated individual-level choice model that considers consumers' online visit and purchase decisions across all competitors within one industry. We specifically analyze the effects of multi-channel advertising on: (1) consumer choice of entry site, (2) consumer search decisions concerning the competing websites, and (3) subsequent purchase at one of the searched websites. We quantify the impact of different digital advertising channels on consumers' decisions at different purchase funnel stages based on individual-level click stream data for the online air ticket booking industry. We find that information stock of all online channels considered - search, display, referral, email, direct - contributes significantly to consumers' visit and purchase decisions, among which search is the most effective channel in driving all three decisions. We map the estimates to the conversion attribution of different channels, which reveals that the relative contribution of display/referral channel was grossly underestimated by the popular single-firm attribution models by a factor of two on average. In terms of predictive performance, our model consistently outperforms the single-firm model in predicting the occurrences of future purchases.

Marketing in a Digital World
Marketing in a Digital World

Author: Aric Rindfleisch

Publisher: Emerald Group Publishing

Published: 2019-09-19

Total Pages: 248

ISBN-13: 1787563391

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Marketing in a Digital World consists of nine essays on how the digital revolution has affected marketing theory and practice. Leading marketing scholars, including several editors of premier academic journals, provide fresh insights for both scholars and managers seeking to enhance their understanding of marketing in a digital world.

Handbook of Marketing Decision Models
Handbook of Marketing Decision Models

Author: Berend Wierenga

Publisher: Springer Science & Business Media

Published: 2008-09-05

Total Pages: 621

ISBN-13: 0387782133

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Marketing models is a core component of the marketing discipline. The recent developments in marketing models have been incredibly fast with information technology (e.g., the Internet), online marketing (e-commerce) and customer relationship management (CRM) creating radical changes in the way companies interact with their customers. This has created completely new breeds of marketing models, but major progress has also taken place in existing types of marketing models. Handbook of Marketing Decision Models presents the state of the art in marketing decision models. The book deals with new modeling areas, such as customer relationship management, customer value and online marketing, as well as recent developments in other advertising, sales promotions, sales management, and competition are dealt with. New developments are in consumer decision models, models for return on marketing, marketing management support systems, and in special techniques such as time series and neural nets.