National, July, 2025.
Dark
patterns—design techniques that subtly influence consumer choices—are prevalent
across both online and offline retail environments, according to a new report
launched by the Esya Centre, a leading policy research and innovation think
tank. While these practices are often viewed as deceptive, the report finds
they can sometimes aid consumers in saving money or choosing better-suited
products. The findings highlight the need to reassess the current regulatory
focus, especially under the Guidelines for Prevention and Regulation of Dark
Patterns (GPRDP), 2023, which apply only to digital platforms and do not fully
account for the retail sector’s complexity.
Titled “Dark Patterns in Indian Retail: An
Empirical Evaluation”, the
study is based on a detailed consumer survey of 1,030 respondents along with a
comprehensive analysis of India’s regulatory landscape and retail sector trends.
It assesses nine out of the 13 dark patterns recognized by the GPRDP, including
false urgency, basket sneaking, and subscription traps, and highlights how both
online and offline consumers are exposed to thesepractices.
Speaking at
the report launch, Meghna Bal, Director, Esya Centre stated, “Our
research reveals that dark patterns exist across both digital and physical
retail environments. While recent regulatory focus has been primarily on online
marketplaces, we believe a more holistic approach would better serve consumers.
The recent self-governance advisory specifically targeting digital platforms
creates an uneven playing field and overlooks similar practices in traditional
retail. What's needed is a collaborative framework that clearly distinguishes
between acceptable marketing tactics and manipulative design elements,
regardless of where the transaction occurs. This balanced perspective would not
only strengthen consumer protection but also foster innovation across the
retail ecosystem.”
The report
urges joint responsibility among businesses, platforms, and regulators to foster
a retail ecosystem grounded in transparency, trust, and informed choice.It
advocates for a collaborative governance model that leverages the strengths of
each stakeholder, particularly as AI and machine learning tools gain traction
in detecting and curbing deceptive practices, to design context-sensitive,
scalable regulatory solutions.
Key Findings: