No paid rankings
Methodology disclosed
SEBI-compliant
Editorial standards
Six distinct segments, six distinct formulas. The factors that make a great cashback card are not the factors that make a great travel card or a great secured card. We score each segment on its own rubric, weighted by what Indian users actually spend on and what they actually use.
Cashback is fixed math: rate × spend = return. Travel is a two-step problem: rate, then redemption value (which can vary 5×). Premium is mostly status — the cash math undersells what the card delivers. Secured cards are about graduation, not rewards. We don't pretend a single rubric captures all six.
Indian context layers in unique factors: lounge-access networks (DreamFolks, Priority Pass, DiyR), fuel surcharge waivers (mandatory disclosure on partner cards), CIBIL reporting depth, RBI ombudsman complaint volume per 1L-cards-in-force, and add-on card / spouse benefits. These get weight where they materially change consumer outcomes.
Methodology adapted from NerdWallet's credit card rating methodology with India-specific weights and data sources.
The most common Indian segment. Score = direct cash-equivalent return on typical Indian household spending across categories where the card actually earns. We weight by published 2026 NPCI + RBI consumer-spend data — groceries and utilities outweigh entertainment by 4×.
Different physics from cashback: redemption value isn't fixed — it varies by airline / hotel partner. Lounge access (the single most-cited Indian-traveler benefit) gets explicit weight separate from rewards. International cards add forex markup as a major factor.
Beginner segment + steady-state holders. Annual fee = 0 by definition, so the rubric collapses to rewards efficiency, eligibility friction, and no hidden GFC-style finance charges.
For thin-CIBIL or new-to-credit users (students, recent immigrants, post-bankruptcy). Goal isn't rewards — it's credit-building. Score weights graduation paths and fixed-deposit (FD) terms.
Strongest economics if you concentrate spend at the partner; weakest if spend is broad. Score weights the partner segment's value AND the realistic-share-of-wallet a typical user has there.
Applied on top of the base segment formula. These move a card ±0.1 to ±0.7 stars from where the formula lands it.
Latest schedule of fees + reward rules per issuer's public Most Important Terms & Conditions (MITC).
Complaint volumes per 1L cards-in-force, dispute resolution time.
2026 published India consumer-spending mix used to weight reward-rate calculations across categories.
Each card application/customer-service pathway tested by an editorial reviewer at least once per 12-month rubric cycle.
Aggregated user reports from third-party complaint registries + InvestingPro corrections inbox.