Aggregated coupon finder for Brazilian e-commerce

Brazilians search for scattered coupon codes across multiple platforms. A tool that centralizes active coupons from Amazon, Mercado Livre and other retailers could save shoppers time finding discounts. [Trending: "cupom mercado livre" with 500+ searches in BR]

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FL score

62

out of 100

Verdict

VALIDATE

medium confidence

Competition

No competitor data yet

Trend

No signal yet

A Brazilian coupon aggregator targeting the massive search demand for discount codes across fragmented e-commerce platforms.

The pain

Brazilian shoppers waste time hunting coupon codes across 5+ platforms (Amazon, Mercado Livre, B2Brazil, etc.), missing deals or settling for suboptimal discounts. High search volume (500+ 'cupom mercado livre') indicates acute, recurring pain.

The gap

No dominant centralized coupon aggregator exists in Brazil. Existing solutions are either outdated, platform-specific, or require manual submission. The market is fragmented unlike US (RetailMeNot) or UK (VoucherCodes).

Build angle

Start with Mercado Livre + Amazon (80% of Brazilian e-commerce), build via web scraping + affiliate partnerships. Monetize through affiliate commissions (15-20% typical) rather than ads. Target mobile-first (80% BR traffic is mobile).

Strengths

  • Clear, quantified demand signal (500+ monthly searches)
  • High-intent users (actively seeking discounts = conversion-ready)
  • Affiliate revenue model (no direct payment friction)
  • Low technical barrier to MVP (scraping + simple UI)
  • Underserved market vs. US/EU equivalents

Risks

  • Retailers may block scraping or change APIs (legal/technical fragility)
  • Affiliate commissions may be lower than expected or retailers may cut programs
  • User acquisition cost in Brazil may be high; organic growth unproven
  • Mercado Livre/Amazon could build native coupon features, eliminating moat
  • Coupon quality/freshness decay, stale codes kill trust quickly
  • Monetization unproven; affiliate model may not scale profitably

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