Whereas the Indian authorities has spent the previous a number of years trying to rein in darkish patterns throughout on-line platforms, the monetary toll exacted on shoppers who fall for such misleading design practices has remained largely hidden.
Now, a brand new research estimates that darkish patterns incur an combination lack of Rs 25,000 to Rs 28,000 crore a yr to Indian shoppers by means of hidden charges, auto-subscriptions, and pre-selected add-ons already deducted from wallets. The 88-page report titled ‘Darkish Patterns in India’s On-line Marketplaces’ was printed by Gurugram-based client insights agency Datum Intelligence on Tuesday, June 9.
Over 88 per cent of 304 million Indian on-line patrons are affected, with every of them shedding an estimated Rs 78-87 each month to numerous sorts of darkish patterns, together with hidden charges, basket sneaking, drip pricing, and false urgency, in line with the report.
Darkish patterns may additionally probably undermine the very platforms that deploy them, with annoyed shoppers spending much less, ordering much less often, or abandoning companies altogether. The report estimates that Rs 55,000 crore in platform GMV (Gross Merchandise Worth) is in danger as customers scale back spending or change platforms. “That is income that platforms haven’t but misplaced, however will,” the report learn.
Regardless of these unfavorable results, 73 per cent of platforms analysed by Datum researchers proceed deploying pressured motion designs that push customers into unintended actions or purchases, with Indian gamers comparable to Nykaa, BigBasket, and ClearTrip rising because the worst-performing platforms of their respective sectors on Datum’s darkish sample index.
Self-Reported Annual Loss Distribution and Nationwide Construct-up. (Picture: Datum Intelligence report)
The findings of the research come days after the Central Shopper Safety Authority (CCPA) penalised edtech agency PhysicsWallah and cybersecurity firm McAfee Software program India for deploying darkish patterns in violation of the Pointers for the Prevention and Regulation of Darkish Patterns, which was notified by the regulator in 2023 and recognized 13 such practices as unfair commerce practices.
Since then, a handful of platforms together with Rapido, Zepto, and FirstCry have confronted fines for not adhering to the rules. Nonetheless, the dearth of regulatory readability and enforcement gaps have hampered progress. Fast commerce app Zepto, as an example, was fined Rs 7 lakh by the CCPA simply six weeks after submitting a self-declaration of compliance, this highlighting the boundaries of the present self-audit framework and the necessity for stronger verification mechanisms, as per the report.
Story continues beneath this advert
“Darkish patterns aren’t glitches. They’re deliberate, engineered design decisions that exploit client psychology […] The mixed influence of direct monetary loss and altering client behaviour exhibits that darkish patterns are not only a consumer-protection concern. They’re a broader macroeconomic problem for the long-term sustainability of India’s digital commerce ecosystem,” Datum Intelligence founder Satish Meena mentioned in a digital media briefing.
Methodology
The report was carried out in Q1 2026. Researchers surveyed over 2,590 shoppers throughout 50 cities and assessed 12 main platforms throughout fast commerce, e-commerce, and on-line journey reserving.
The research examined a dozen platforms, particularly: BigBasket, Zepto, Swiggy Instamart, Blinkit, Amazon, Flipkart, Myntra, Nykaa, MakeMyTrip, EaseMyTrip, ixigo, and Cleartrip. It scored every of those platforms from 0 to 100 as a part of its Benchmarking Index, the place a decrease rating signifies fewer and fewer dangerous darkish patterns.
It additionally measured client hurt posed by a platform primarily based on estimated monetary influence and erosion of belief by shoppers.
Story continues beneath this advert
Key findings
– Various client hurt:Whereas all 12 platforms deployed darkish patterns at related frequency, Datum’s B-Index revealed a 92-point hole between the perfect and worst performing platforms. As well as, client hurt assorted 15 occasions throughout the cohort with Amazon topping the index at 6.7 factors and Nykaa ranked because the worst-performing platform throughout sectors with a B-Index rating of 99 factors (main in all 11 darkish sample sorts and having the best monetary extraction determine per encounter).
A 93-point hole separates finest from worst. (Picture: Datum Intelligence report)
-False urgency in fast commerce: Notably, the commonest darkish sample deployed throughout all 4 fast commerce platforms is fake urgency, the place customers are proven faux countdown occasions to create panic shopping for. False urgency scored the best single-pattern rating (3.02) measured by Datum. Moreover, Large Basket recorded the best B-Index rating (98.5) within the fast commerce class, which is behind 26-72 per cent hidden prices and 90 per cent customers reporting pressured cancellations.
-Drip pricing in on-line journey: A majority of on-line journey reserving apps depend on drip pricing,the place hidden prices are revealed solely on the closing checkout stage, with Flipkart-owned ClearTrip rating among the many most dangerous platforms (85.2 B-Index rating). In distinction, MakeMyTrip was discovered to be the most secure on-line journey app with a 9.4 B-Index rating and client belief scores exceeding mistrust.
Sector Severity Distribution (Benchmarking Index [B Index], 0-100). (Picture: Datum Intelligence report)-Shift in client behaviour: Deploying darkish patterns may push customers away, with 36 to 45 per cent of respondents stating that they use a platform much less, spend much less on it, or cease utilizing it altogether after encountering darkish patterns. The web journey class noticed the best exit alerts with 15 per cent of respondents planning to chop use whereas 41 per cent switching to direct bookings on airline and lodge websites.
Story continues beneath this advert
-Darkish sample consciousness paradox: Over 81 per cent of shoppers can establish a darkish sample when proven one, and 69 per cent need stricter regulation in opposition to darkish patterns. Nonetheless, the research discovered that 85 per cent of respondents nonetheless fall for darkish patterns.
Which sector scores highest on every darkish sample. (Picture: Datum Intelligence report)
-Poor grievance decision: Of shoppers affected by a darkish sample, 53 per cent increase a grievance with the platform, and solely 23 per cent obtain a decision they contemplate passable at that very same platform stage.
-Rising belief economic system: Over 74 per cent of shoppers mentioned that they’re keen to pay extra for platforms that decide to honest, clear design – with solely 10 per cent of respondents rejecting the proposal outright. This implies that platforms rebuild belief, person spending may also get well, as per the report.
Learn how to successfully deal with darkish patterns
In its report, Datum highlights the dearth of readability in definitions laid down by the CCPA’s pointers. For example, when a flash sale genuinely has restricted inventory, there is no such thing as a readability on whether or not the countdown occasions is taken into account a darkish sample or factual disclosure. In different phrases, the CCPA’s pointers don’t distinguish between manufactured urgency and actual provide constraints.
Story continues beneath this advert
The report additionally identified that 26 platforms which had submitted self-declarations of compliance, have been subsequently discovered ‘non-compliant’ in surveys. This implies that “platforms and regulators are studying the identical pointers otherwise as a result of the rules permit for a number of readings,” it learn.
Datum additional proposed the next three-stage implementation roadmap:
-Stage 1: Cut back the highest three darkish patterns by banning pre-selected insurance coverage and add-ons throughout on-line journey, e-commerce, and fast commerce checkout flows, mandate all-inclusive pricing in search outcomes moderately than at checkout, and set up a fast-track grievance portal with 30-day decision mandates.
-Stage 2: Make audit infrastructure operational by growing sector-specific dark-pattern audit requirements for darkish patterns, introducing obligatory quarterly UX transparency reviews for platforms above Rs 500 crore GMV, and coaching consumer-court judges and CCPA investigators on UX testing.
-Stage 3: Set up an trade dark-pattern benchmarking index with quarterly scoring throughout all platforms, require annual third-party UX audits for all platforms above Rs 500 Cr GMV with outcomes publicly accessible, and releasing an annual state-of-dark-patterns report with enforcement outcomes and platform compliance scores.