Credit Team · Methodology v1.0 · last updated 2026-04-26

How we rate credit cards.

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.

· No paid placements· Spending-mix weighted· RBI ombudsman included· Owned by Credit Team desk
Why segment-specific

Same brand, different game.

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.

Per-segment rubrics

Six formulas. One scoring scale (1–5 stars, 0.1-step).

Cashback cards

Formula — Cash Value 70% · Simplicity 20% · Issuer Trust 10%

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×.

Factor
Weight
Effective base + bonus rate
35%
Annual fee + waiver realism
25%
Reward redemption value + restrictions
10%
Simplicity (rotating vs flat)
20%
Issuer reliability
10%
Total
100%
Effective base + bonus rate: Reward % weighted by spending mix: groceries 28%, utilities 18%, fuel 14%, dining 12%, online shopping 10%, travel 8%, recurring 5%, other 5%.
Annual fee + waiver realism: Lower fee scores higher; waiver thresholds discounted by realistic-attainment probability for the typical user (e.g., ₹3 L spend waiver gets full credit only if cardholder typically spends > ₹3 L).
Reward redemption value + restrictions: Statement credit > points-with-cap > points-with-expiry. Caps and exclusions discounted.
Simplicity (rotating vs flat): Flat-rate beats rotating bonus categories that require activation, hit caps, or change quarterly.
Issuer reliability: RBI ombudsman complaint volume per 1L cards-in-force, app uptime, dispute resolution time.

Travel cards (domestic + international)

Formula — Cash Value 60% · Network Reach 25% · Simplicity 15%

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.

Factor
Weight
Effective travel reward rate
30%
Lounge access (domestic + international)
20%
Forex markup + international acceptance
10%
Annual + renewal fee net of perks
15%
Insurance + concierge
10%
Issuer + network trust
15%
Total
100%
Effective travel reward rate: Points × redemption-value-per-point (computed for top 5 Indian airlines + 3 hotel partners). Typically 1.5×–4× of cashback baseline.
Lounge access (domestic + international): Visits per year, Priority Pass / DreamFolks / DiyR coverage, guest policy, terminal limitations. Heaviest single Indian-traveler lookup.
Forex markup + international acceptance: Lower forex markup (typical range 0%–3.5%). Visa Infinite / WE / World Elite tiers get reach credit.
Annual + renewal fee net of perks: Premium travel cards charge ₹4 K–₹15 K. Rated against cash-equivalent perks (vouchers, milestone benefits, complimentary memberships).
Insurance + concierge: Travel insurance limits, lost baggage cover, air accident cover, concierge response time.
Issuer + network trust: RBI complaints + concierge / claim-settlement responsiveness.

Premium / luxury cards

Formula — Realised Value 50% · Status & Access 25% · Cash Value 15% · Simplicity 10%

₹10 K+ annual fee tier. Cash value alone undersells these — the value lives in invitation-only events, golf access, hotel-tier upgrades, and concierge. Score weights real-world utilisation rates, not advertised features.

Factor
Weight
Realised perk utilisation
35%
Hotel + airline status partnerships
15%
Concierge + invite-only access
10%
Cash-equivalent rewards floor
15%
Annual fee net of milestone benefits
15%
Issuer prestige + service
10%
Total
100%
Realised perk utilisation: Of the perks advertised, what % does a typical user actually claim? Penalises inflated benefit lists.
Hotel + airline status partnerships: Marriott Gold, Hilton Honors Gold, Taj Epicure tiers, accelerated upgrade paths.
Concierge + invite-only access: Response SLA, fulfillment rate (booking restaurants, ticket availability).
Cash-equivalent rewards floor: Even at premium tier, reward rate matters. Scored as in cashback methodology but with lower weight.
Annual fee net of milestone benefits: Premium cards often rebate the fee in Tata CLiQ / EazyDiner vouchers — only counts if redemption is realistic.
Issuer prestige + service: Dedicated relationship manager, priority phone line, claim escalation path.

No-annual-fee / lifetime free

Formula — Cash Value 60% · Eligibility 20% · Hidden Cost Avoidance 20%

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.

Factor
Weight
Effective reward rate
50%
Eligibility floor (income, CIBIL)
20%
Hidden fees absence
20%
Add-on card + spouse benefit
10%
Total
100%
Effective reward rate: Same Indian-spending-weighted formula as cashback segment.
Eligibility floor (income, CIBIL): Lower min-income + CIBIL bar = more accessible. India avg salaried CIBIL is 740; below 700 limits choice.
Hidden fees absence: GST + service charges on cashback, late-fee tiering, finance charge on revolving — must all be transparent.
Add-on card + spouse benefit: Free add-on cards expand household value at zero fee.

Secured / starter cards

Formula — Required Outlay 40% · Credit Build 35% · Upgrade Path 25%

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.

Factor
Weight
Required FD / deposit
25%
Annual fee + FD interest forgone
15%
Credit bureau reporting (all 4)
20%
Free CIBIL access
15%
Upgrade to unsecured at clear milestone
25%
Total
100%
Required FD / deposit: Lower required FD ladder = more accessible. Refundable but blocks capital. Some issuers accept ₹10 K, others ₹50 K+.
Annual fee + FD interest forgone: Hidden cost: FD locks earn lower interest than the same money in fixed deposits at 6-7%.
Credit bureau reporting (all 4): Reports to CIBIL + Experian + Equifax + CRIF High Mark = max credit-building velocity.
Free CIBIL access: Built-in CIBIL tracking helps users see progress + correct errors quickly.
Upgrade to unsecured at clear milestone: 12-month / good-standing graduation to unsecured card without re-application — biggest signal of issuer trust in the segment.

Co-branded cards (fuel, e-commerce, airline-partnered)

Formula — Partner Cash Value 65% · Out-of-partner Floor 20% · Simplicity 15%

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.

Factor
Weight
Partner-segment reward rate
35%
Realistic share-of-wallet
15%
Out-of-partner reward rate
20%
Annual fee + waiver vs partner spend
15%
Partner stability + pricing power
15%
Total
100%
Partner-segment reward rate: Effective return at the partner: e.g., HPCL, IndianOil, Amazon, Flipkart, MakeMyTrip. Partner cards often offer 4-7% there.
Realistic share-of-wallet: How concentrated does a typical Indian user have their spend at this partner? Penalises niche partners.
Out-of-partner reward rate: Outside the partner the rate often drops to 0.5-1%. Determines value when user shops elsewhere.
Annual fee + waiver vs partner spend: Easier to waive on a card you concentrate spend at. Realism check on the threshold.
Partner stability + pricing power: If the partner can devalue points (e.g., Yatra changing redemption value), the card's value erodes. Penalises history of devaluation.
Standardised adjustments

Cross-segment modifiers.

Applied on top of the base segment formula. These move a card ±0.1 to ±0.7 stars from where the formula lands it.

  • ·New-cardholder welcome bonus value (if attainable in 90 days at typical spend) +0.0 to +0.3 stars
  • ·0% intro APR on EMI conversions for big-ticket spends +0.0 to +0.2 stars
  • ·Pre-qualification without hard CIBIL pull +0.0 to +0.1 stars
  • ·Strong NPCI / UPI integration on card-on-file +0.0 to +0.1 stars
  • ·Mandatory third-party app for redemption (extra friction) −0.1 to −0.3 stars
  • ·Devaluation history (issuer changed reward formula in last 24 months) −0.2 to −0.5 stars
  • ·RBI ombudsman complaint volume > 90th percentile −0.2 to −0.5 stars
  • ·Missing standard feature (e.g., no fuel surcharge waiver on a fuel card) −0.3 to −0.7 stars
Data sources

Where the values come from.

Issuer T&Cs

Latest schedule of fees + reward rules per issuer's public Most Important Terms & Conditions (MITC).

RBI ombudsman quarterly reports

Complaint volumes per 1L cards-in-force, dispute resolution time.

NPCI consumer-spend data

2026 published India consumer-spending mix used to weight reward-rate calculations across categories.

In-house testing

Each card application/customer-service pathway tested by an editorial reviewer at least once per 12-month rubric cycle.

User-reported claim data

Aggregated user reports from third-party complaint registries + InvestingPro corrections inbox.

Update cadence

When scores get refreshed.

  • Monthly: Issuer fee + reward rule audits. Any change since last refresh updates the affected cards' scores within 7 days.
  • Immediate (event-triggered): Reward devaluation, RBI policy change affecting card products, issuer T&C update — re-score within 48 hours.
  • Quarterly: Segment weight review (the percentages above) by the Credit Team desk. Public changelog of weight changes.
  • Annually: Full rubric review against latest NPCI / RBI consumer-spend data.
Related methodologies

Other product types we rate.

Credit Cards methodology v1.0 · last updated 2026-04-26
Editorial standardsCorrectionsCredit Team desk
No paid rankings
Methodology disclosed
SEBI-compliant
Editorial standards