Hannes Datta

The Challenge of Retaining Customers Acquired with Free Trials

Many service firms acquire customers by offering free-trial promotions. However, a crucial challenge is to retain the customers acquired with these free trials. To address this challenge, firms need to understand how free-trial customers differ from regular customers in terms of their decisions to retain the service. This article conceptualizes how marketing communication and usage behavior drive customers’ retention decisions and develops hypotheses about the impact of free-trial acquisition on this process. To test the hypotheses, the authors model a customers retention and usage decisions, distinguishing usage of a flat-rate service and usage of a pay-per-use service. The model allows for unobserved heterogeneity and corrects for selection effects and endogeneity. Using household panel data from a digital television service, the authors find systematic behavioral differences that cause the average customer lifetime value of free-trial customers to be 59% lower than that of regular customers. However, free-trial customers are more responsive to marketing communication and usage rates, which offers opportunities to target marketing efforts and enhance retention rates, customer lifetime value, and customer equity.

How well does consumer-based brand equity align with sales-based brand equity and marketing mix response?

Brand equity is the differential preference and response to marketing effort that a product obtains because of its brand identification. Brand equity can be measured using either consumer perceptions or sales. Consumer-based brand equity (CBBE) measures what consumers think and feel about the brand, whereas sales-based brand equity (SBBE) is the brand intercept in a choice or market share model. This article studies the extent to which CBBE manifests itself in SBBE and marketing-mix response using ten years of IRI scanner and Brand Asset Valuator data for 290 brands spanning 25 packaged good categories. The authors uncover a fairly strong positive association of SBBE with three dimensions of CBBE—relevance, esteem, and knowledge—but a slight negative correspondence with the fourth dimension, energized differentiation. They also reveal new insights on the category characteristics that moderate the CBBE–SBBE relationship and document a more nuanced association of the CBBE dimensions with response to the major marketing-mix variables than heretofore assumed. The authors discuss implications for academic researchers who predict and test the impact of brand equity, for market researchers who measure it, and for marketers who want to translate their brand equity into marketplace success.

Changing Their Tune: How Consumers’ Adoption of Online Streaming Affects Music Consumption and Discovery

Constructing a unique panel data set of individual consumers’ listening behavior on digital music platforms, e.g., iTunes and Spotify, we study the effect of adopting streaming services on individual music consumption. Achieving quasi-randomization via a matching procedure, we estimate the changes in quantity, variety and new music discovery after adopting a streaming service like Spotify. Adopting streaming services leads to substantial increases in quantity, variety in any measure, plays of new content, and discovery of new favorites. It is also associated with a large drop in concentration. We document that adopting Spotify leads to more discovery of highly valued music. Relative to using iTunes, adopting Spotify raises repeat listening for consumers’ best new discoveries, although - consistently with the marginal variety on Spotify being free - lowers repeat listening for the average new discovery relative to non-adopters. We discuss the implications for platforms, labels, artists, and consumers.

Usage Rates, Facebook Likes, and Online Piracy: Using Big Data to Manage Entertainment Products

The rapid digitization of the entertainment industry urges managers to find new ways to improve marketing effectiveness and combat online piracy. Smart devices and innovative online services generate brand-related tracking data that reflect consumers’ brand engagement (e.g., digital usage rates, Facebook Likes), yet managers are unaware of how to use these big data to improve brand performance. We therefore propose a model to assess how digitally tracked engagement behaviors, namely consumer brand usage (CBU, measured by digital usage rates) and consumer brand endorsement (CBE, measured by Facebook Likes), drive the impact of promotion and new product releases and affect the role of piracy. We apply our framework to the U.S. music industry, and develop web scrapers and API mining scripts to collect data for 569 music artists over 66 weeks. Both CBU and CBE enhance marketing effectiveness and positively mediate the sales impact of piracy, thereby offsetting piracy’s cannibalization effect by 55%. However, CBU exerts a systematically stronger influence in these relationships than CBE. Using simulations, we show how our findings can help managers to improve the allocation of their marketing efforts across brands and reduce the detrimental sales impact of piracy.