Vilma Todri

Associate Professor of Information Systems & Operations Management

  • Atlanta GA UNITED STATES

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Biography

Vilma Todri is an associate professor of Information Systems at Goizueta Business School, Emory University. Vilma's research agenda has been inspired by the profound impact of Internet-related technologies on how consumers conduct research about products, make purchases and interact with brands nowadays as well as how firms leverage such technologies to create business value. She is especially interested in areas related to digital strategy, digital marketing, social media, and consumer behavior in technology-mediated environments. She employs state of the art methodologies that lie in the intersection of quantitative modeling, experimental research designs, and machine learning.

Vilma's research has been published at various premier venues such as Marketing Science (MKSC), Information Systems Research (ISR), Management of Information Systems Quarterly (MISQ), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), International Conference of Information Systems (ICIS), the Workshop on Information Systems and Economics (WISE), Conference on Information Systems and Technology (CIST), and ACM Conference on Recommender Systems (RecSys). She has been the recipient of several academic awards, including the INFORMS ISS Gordon B. Davis Young Scholar Award and AIS Early Career Award. Her research has also been nominated for various awards, such as the INFORMS CIST best conference paper award and the INFORMS best student paper award on social media analytics.

Vilma received her Ph.D. from Leonard N. Stern School of Business at New York University in 2016. Prior to joining the Stern Ph.D. program, Vilma worked for Google where she was developing integrated cross-platform advertising strategies for large business clients that partnered with Google. She earned the country manager award for developing a sustainable high performing marketing strategy. She has also co-founded a tech start-up that introduced a new business model in the market and earned angel investors' funding.

Vilma holds a Bachelor's degree in Management Science and Technology from Athens University of Economics and Business where she graduated maxima cum laude achieving the highest GPA score in the history of the department. Throughout her studies, Vilma has been the recipient of many academic awards including a Fulbright Scholarship and multiple Greek State Scholarship Foundation awards.

Education

New York University

PhD

Information Systems

2016

Athens University of Economics and Business

Bachelor's degree

2008

Areas of Expertise

Economics and Machine Learning
Digital Advertising
Digital Strategy
Online Consumer Behavior
Social Media

Publications

Towards a Digital Attribution Model: Measuring the Impact of Display Advertising on Online Consumer Behavior

NET Institute Working Paper

2015

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 natural 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 can increase users’ propensity to search for the brand and the corresponding product; consumers engage both in active search exerting effort to gather information through search engines as well as through direct visits to the advertiser’s website, and in passive search using information sources that arrive exogenously, such as future display ads. We also find statistically and economically significant effect of display advertising on increasing consumers’ propensity to make a purchase. Furthermore, we find that the advertising performance is amplified up to four times when consumers are targeted earlier in the purchase funnel path and 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.

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Estimating the Impact of User Personality Traits on Word-of-Mouth: Text-Mining Microblogging Platforms

Information Systems Research

2015

Word-of-mouth (WOM) plays an increasingly important role in shaping consumers’ online behaviors and preferences as users’ opinions, choices, and decisions are frequently shared in social media. In this paper, we examine whether personality similarity between social media users can accentuate or attenuate the effectiveness of WOM leveraging data mining and machine-learning methods and the abundance of unstructured data in social media. Specifically, we study whether latent personality characteristics of users are associated with the effectiveness of WOM from purchases on social media platforms like Twitter and can predict their online economic behavior. Our analysis yields two main results. First, there is a positive and statistically significant effect of the level of personality similarity between two social media users on the likelihood of a subsequent purchase after exposure to WOM. In particular, exposure to WOM messages from similar users in terms of personality, rather than dissimilar users, increases the likelihood of a post-purchase by 47.58%. Second, there are statistically significant effects of specific personality characteristics on WOM effectiveness. For instance, users with low levels of extraversion are responsive to WOM, in contrast to extrovert users. In addition, WOM originating from users with high levels of emotional range affects similar users whereas for low levels of emotional range increased similarity has usually the opposite effect. By examining these effects and illustrating how companies can leverage the abundance of unstructured data and tap into users’ latent personality characteristics, our paper provides insights regarding the future potential of social media advertising and advanced micro-targeting based on machine learning and natural language processing approaches.

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Research Spotlight

4 min

Emory Experts - Why Companies Invest in Local Social Media Influencers

Companies seek local influencers to pitch products. Even though most influencers amass geographically dispersed followings on social media, companies are willing to funnel billions of sponsorship dollars to multiple influencers located in different geographic areas, effectively creating sponsorships that span cities, countries, and in some cases even, the globe. The desire to work with local influencers has spawned advertising agencies that specialize in connecting companies with influencers and may soon redefine the influencer economy.This trend has merit, our research team finds. In a new Journal of Marketing study, we show a positive link between online influence and how geographically close an influencer’s followers are located. The nearer a follower is geographically to someone who posts an online recommendation, the more likely she is to follow that recommendation.To investigate whether geographical distance still matters when word of mouth is disseminated online, our research team examined thousands of actual purchases made on Twitter. We found the likelihood that people who saw a Tweet mentioning someone they follow bought a product would subsequently also buy the product increases the closer they reside to the purchaser. Not only were followers significantly associated with a higher likelihood to heed an influencer’s recommendation the closer they physically resided to the influencer, the more quickly they were to do so, too.We find that this role of geographic proximity in the effectiveness of online influence occurs across several known retailers and for different types of products, including video game consoles, electronics and sports equipment, gift cards, jewelry, and handbags. We show the results hold even when using different ways to statistically measure the effects, including state-of-the-art machine learning and deep learning techniques on millions of Twitter messages.We posit that this role of geographic proximity may be due to an invisible connection between people that is rooted in the commonality of place. This invisible link can lead people to identify more closely with someone who is located nearby, even if they do not personally know that person. The result is that people are more likely to follow someone’s online recommendation when they live closer to them. These online recommendations can take any form, from a movie review to a restaurant rating to a product pitch.What makes these findings surprising is that experts predicted the opposite effect when the internet first became widely adopted. Experts declared the death of distance. In theory, this makes sense: people don’t need to meet in person to share their opinions, reviews, and purchases when they can do so electronically. What the experts who envisioned the end of geography may have overlooked, however, is how people decide whose online opinion to trust. This is where cues that indicate a person’s identity, such as where that person lives in the real world, come into play.We may be more likely to trust the online opinion from someone who lives in the same city as us than from someone who lives farther away, simply because we have location in common. Known as the social identity theory, this process explains how individuals form perceptions of belonging to and relating to a community. Who we identify with can affect the degree to which we are influenced, even when this influence occurs online.Our findings imply that technology and electronic communications do not completely overcome the forces that govern influence in the real world. Geographical proximity still matters, even in the digital space. The findings also suggest that information and cues about an individual’s identity online, such as where he/she lives, may affect his/her influence on others through the extent to which others feel they can relate to him/her.These findings on how spatial proximity may still be a tie that binds even in an online world affirm what some companies have long suspected. Local influencers may have a leg up in the influence game and are worth their weight in location. For these reasons, companies may want to work with influencers who have more proximal connections to increase the persuasiveness of their online advertising, product recommendation, and referral programs. Government officials and not-for-profit organizations may similarly want to partner with local ambassadors to more effectively raise awareness of—and change attitudes and behaviors towards—important social issues.Goizueta faculty members Vilma Todri, assistant professor of Information Systems & Operations Management, Panagiotis (Panos) Adamopoulos, assistant professor of Information Systems & Operations Management, and Michelle Andrews, assistant professor of marketing, shared the following article with the American Marketing Association to highlight their new study published in the Journal of Marketing. To contact any of the experts for an interview regarding this topic, simply click on their icon to arrange a time to talk today.

Vilma TodriPanagiotis (Panos) AdamopoulosMichelle Andrews

4 min

Emory Experts - Ad-blockers Shave $14.2 Billion Off Consumer Spending, Says New Research

Digital advertising is big business. So big, in fact, that it is well on track to become the most dominant form of advertising.Estimates suggest that spending on digital ads in the U.S. alone will reach a staggering $201 billion by 2023 – more than two-thirds of total spend. And it makes sense. With consumers increasingly shopping online, advertisers continue to ramp up their use of data and technologies to find innovative new ways to reach target audiences.The Flip Side to Digital Advertising SuccessThe sheer ubiquity of online advertisements is driving a corollary upswing in the use of another digital technology. Ad blockers are easy-to-install and free-to-use software that consumers can deploy to hide unwanted ads on their screens, and they are gaining huge popularity worldwide. The numbers are hard to determine, but some evidence points to anywhere from 600 million to two billion Internet users having downloaded some form of ad-blocking in the last three years or so – well over 11% of the global internet population. Also hard to gauge is the impact on advertising revenue that ad-blockers are having – that is, until now.A new paper by Vilma Todri, assistant professor of information systems and operations management at Goizueta, sheds stunning light on the effect of ad-blocking on online search and purchasing behaviors among internet users. And what she has found should give advertisers serious pause for thought.According to her analysis, ad-blockers decrease consumer online spending by an average of 1.45%. Now, assuming that around 615 million internet users have downloaded some kind of ad-blocking software in recent years, the actual impact puts the loss in revenue from digital advertising around the $14.2 billion mark, year over year. And that’s not all. Todri also finds that ad-blocking seems to have the effect of limiting consumer spending disproportionally on certain brands over others. Users who opt out of seeing digital ads tend to continue to purchase mostly those products or services they are already familiar with, and not engage with new brands; they are less likely to use different search channels or visit new e-commerce websites as a result of ad-blocking.Analyzing Customer Engagement from 300 Million Internet VisitsTo get at these insights, Todri analyzed data from a U.S. web behavior dataset spanning a three-year period, from January 2015 to December 2018. She looked at web-wide visits, transaction behaviors and demographic identifiers across a total of 92,000+ users and more than 300 million internet visits. To measure the effect of ad-blocking, Todri matched all of this data with an ad-blocker dataset from the same source – a well-known U.S. measurement and analytics company – which shows that around 10% of users had installed an ad-blocker at some point during this three-year window.Crunching the numbers, Todri finds that the effect of using ad-blocking software on these users is to reduce their online search engine sessions by 5.6%. They also spend 5.5% less time visiting e-commerce websites. In other words, consumers who opt out of seeing ads end up browsing and shopping significantly less than others. And in terms of what these users are buying, the data shows that they are much less likely to spend on brands they don’t know or have not experienced before (and conversely, more likely to stick to familiar brands.) Digging even deeper, Todri also finds that this negative effect penalizes the brands that invest most heavily in advertising online more that those that don’t. In other words, ad-blockers are hurting those who advertise online most.Todri’s paper is the first to expose the quantitative, negative impact of ad-blocking on consumer spending. And her findings should be on the radar of any company looking to market its products and services online, she says.“The data clearly shows that ad-blockers reduce online spending by 1.45%, which amounts to something in the order of $14.2 billion in lost revenue given that about 600 million people around the world have installed this kind of software,” she says. “And the figures suggest that it’s the brands that heavily invest on online advertising who are bearing the brunt of this drop-off in consumer spending.”Search Behaviors, Interrupted“Advertisers also need to look at the fact that ad-blockers inhibit search behaviors,” adds Todri. “The figures point to a drop of around 5% when users have installed ad-blockers, which in turn means that they are not discovering and spending on new brands. They’re sticking with what they already know.”There’s an imperative here for companies to interpret these findings and reflect on what they say about ad-blocking, and also about what constitutes “acceptable advertising practices,” she says.“It’s reasonable to assume that people who use ad-blockers simply don’t like ads and aren’t influenced by them. Yet the data points to a different conclusion: if consumer purchasing falls after installing ad-blockers, it would suggest that advertising does work – seeing advertisements does drive searching and purchasing behaviors. So taken together, there’s a likely imperative here for advertisers to find new formats in terms of reaching their targets, and to strengthen their organic channels and social presence online.”Digital advertising clearly does impact search and purchasing behaviors, says Todri, so firms need to get creative while being cognizant of the fact that some consumers find current advertising practices annoying.Vilma Todri is an Assistant Professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. Previously, she worked for Google where she was developing integrated cross-platform advertising strategies for large business clients that partnered with tech giant.Vilma is available to speak with media about this subject – simply click on her icon now to arrange an interview today.

Vilma Todri

2 min

What’s it all mean as ‘Big-Tech’ pivots to privacy? Let our Experts help explain if you are covering

The business of the internet as we know it, is about to change. As companies in the past have thrived, boomed, and found serious cash and success harvesting your data – that model may soon be coming to an end. With companies like Google and Apple leading the way, odds are a serious transformation is about to come and the know that notice has been served, it is getting a lot of attention.The decision, coming from the world’s biggest digital advertising company, could help push the industry away from the use of such individualized tracking, which has come under increasing criticism from privacy advocates and faces scrutiny from regulators.Google’s heft means the change could reshape the digital ad business, where many companies rely on tracking individuals to target their ads, measure the ads’ effectiveness, and stop fraud. Google accounted for 52% of last year’s global digital ad spending of $292 billion, according to Jounce Media, a digital ad consultancy.About 40% of the money that flows from advertisers to publishers on the open internet—meaning digital advertising outside of closed systems such as Google Search, YouTube, or Facebook—goes through Google’s ad buying tools, according to Jounce. March 03 – The Wall Street Journal.But what will this mean for powerhouses like Facebook or the multitude of apps and carriers who rely on data, and the money that comes with it to succeed?What lies ahead will be interesting, and if you are a journalist looking to cover this topic – then let our experts help.Vilma Todri is an Assistant Professor of Information Systems & Operations Management at Emory University’s Goizueta Business School. Previously, she worked for Google where she was developing integrated cross-platform advertising strategies for large business clients that partnered with Google and recently wrote a comprehensive paper on this very topic. Vilma is available to speak with media about this subject – simply click on her icon now to arrange an interview today.

Vilma Todri
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In the News

Trade-offs in Online Advertising: Advertising Effectiveness and Annoyance Dynamics across the Purchase Funnel

Marketing Science Institute  online

2019-08-26

Today, advertisers can control media scheduling and increase the frequency of individual-level display-advertising exposures to draw consumers' attention. But is this always a good idea? The popularity of ad-blocking software suggests not.

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