The US Federal Trade Commission (FTC) has proposed a new policy requiring businesses to clearly disclose if they employ personalised pricing based on consumer data, addressing concerns that such practices can mislead consumers and exploit their individual characteristics.
- FTC to require clear disclosure of personalised pricing based on consumer data
- Surveillance pricing seen as an exploitative use of AI and personal data
- Indian market faces similar concerns with dynamic pricing and dark patterns
What happened
The US Federal Trade Commission has released a draft enforcement policy statement targeting personalised pricing practices. Companies that adjust prices for products or services based on algorithms estimating a consumer’s willingness to pay using personal data must disclose this practice clearly to consumers. FTC Chairman Andrew Ferguson emphasized consumer expectations for uniform pricing rather than individually tailored price points.
Although the FTC lacks the authority to ban personalised pricing outright, it aims to increase transparency and protect consumers from undisclosed price manipulation. Initial legislative voices, including US Senator Joe Cryan, have condemned surveillance pricing as a misuse of technology that unfairly exploits individual consumer characteristics.
Why it matters
The issue of personalised pricing has global relevance, particularly for markets like India where e-commerce and quick-commerce platforms frequently alter fees and charges, sometimes using opaque pricing models known as dark patterns. Regulatory bodies in India have begun penalizing misleading pricing practices, such as the Central Consumer Protection Authority’s fine against FirstCry for misleading GST disclosures.
Legacy consumer goods companies acknowledge the role of price segmentation facilitated by technology, with tailored pricing and pack designs aimed at less price-sensitive, convenience-focused shoppers on quick commerce platforms. Despite no outright ban on dynamic pricing, companies in India must navigate regulatory frameworks, including the Consumer Protection Act and emerging guidelines targeting dark patterns, to avoid legal repercussions.
What to watch next
Monitor the FTC’s finalisation and implementation of the personalised pricing disclosure requirements, as this will set a precedent for transparency expectations and enforcement mechanisms in the US market. Legislative debate on surveillance pricing and algorithmic fairness may further shape regulatory boundaries.
In India, regulatory actions on dynamic pricing and consumer protection relating to personalised offers could intensify, especially as fast-growing e-commerce sectors push boundaries in pricing strategies. Developments in data privacy laws and dark pattern guidelines will be crucial to watch, along with industry responses around disclosure and consent in pricing algorithms.