Please use this identifier to cite or link to this item: http://dspace.dtu.ac.in:8080/jspui/handle/repository/20882
Title: EVERLANE'S JOURNEY WITH DATA-DRIVEN PROGRAMMATIC ADVERTISING
Authors: RAHUL, PRIYA RANJAN
Keywords: EVERLANE'S JOURNEY
DATA-DRIVEN APPROACHES
PROGRAMMATIC ADVERTISING
Issue Date: Aug-2024
Series/Report no.: TD-7435;
Abstract: The case study on Everlane's innovative use of data-driven programmatic advertising in the fashion retail industry. Everlane, a pioneering brand known for its commitment to transparency, sustainability, and ethical practices, embarked on a strategic journey to leverage programmatic advertising to enhance brand influence and audience targeting. Through a thorough examination of Everlane's programmatic advertising initiatives, we uncovered the brand's strategic adoption of data-driven approaches to refine targeting parameters, optimize campaign performance, and drive tangible business outcomes. The case study delves into Everlane's successful implementation of programmatic advertising campaigns, including notable examples such as the "Transparency in Action" campaign, which showcased the brand's commitment to transparency and ethical manufacturing practices. Additionally, we explored the challenges and opportunities faced by Everlane in navigating the complexities of the digital advertising ecosystem, including data privacy concerns, ad fraud risks, and technical complexities. By overcoming these challenges through compliance, transparency, and strategic partnerships, Everlane demonstrated its resilience and adaptability in driving innovation and growth in programmatic advertising. Looking ahead, our analysis highlights Everlane's future plans and recommendations for further optimization and innovation in programmatic advertising. By expanding its programmatic channels, investing in data infrastructure, and embracing emerging technologies such as AI and machine learning, Everlane is poised to unlock new opportunities for engagement, relevance, and impact in the evolving digital landscape.
URI: http://dspace.dtu.ac.in:8080/jspui/handle/repository/20882
Appears in Collections:MBA

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