Polo Match · 60-second AI matchmaker
Find your right credit card.
In sixty seconds.
Eight questions. Polo's AI reads the catalog, computes net annual rupee/dollar value for every card you qualify for, and ranks the top three. No bank login. No fluff.
Where do you bank?
Drives which catalog we match against.
How Polo Match scores
Spend × reward rate
Your monthly spend gets split across your top 3 categories, then multiplied by each card's rate per category, capped at the monthly limits where applicable.
Welcome bonus, year 1
The signup bonus gets converted to local currency using the card's redemption value, then added to year-1 net value. Honest math, not headline points.
Annual fee subtracted
Net annual value = earnings + welcome bonus − annual fee. A 4% card with a ₹3000 fee often loses to a 2% no-fee card. We say it out loud.
FAQ
›How is this different from a normal credit-card quiz?
Most quizzes pick a card by "best rate × category" and stop there. Polo Match runs the actual math: monthly spend × reward rate per category × 12 months, minus annual fee, plus welcome bonus, factoring caps and forex markup. We rank by NET annual rupee/dollar value, what you actually keep.
›Do you store my answers?
Only the structured answers (country, monthly spend bracket, primary categories, travel frequency, income bracket, sweat-on-points). Never personally identifying details. We use them to improve the ranking and generate a shareable results link.
›Why do you need my income bracket?
Many cards have hard income gates (e.g. HDFC Infinia ₹25L/yr, Chase Sapphire Reserve $80K/yr). Recommending a card you can not be approved for wastes your time. We filter by your bracket, never showing cards you would be auto-declined for.
›Will I get spammed?
No. We do not require email to see results. If you opt in for the deeper PDF breakdown, we send exactly one email, the breakdown, and add you to the weekly Polo Club drop. Unsubscribe instantly.
›Can I retake the quiz?
Yes, unlimited times. Each run gets a fresh share link. Tweak your spend mix to see how the recommendation shifts, it is genuinely illuminating.