Are exchange rates configurable?

Yes, the normalization engine uses transparent reference FX rates normalized to USD/IDR/SGD/MYR/GBP/EUR.

Marketplace Intelligence

Cross-Marketplace Price, Fee & Match Confidence Analyzer

Q: Why does the tool calculate Match Confidence between listings?

Two listings on different marketplaces may have similar keywords but represent a 1-pack vs a 2-pack or different models. Explicit Match Confidence prevents bad pricing decisions.

Compare the same SKU across Shopee, TikTok Shop, Tokopedia, Lazada, Amazon, eBay, and Shopify with currency normalization, fee-adjusted margins, and Match Confidence scoring.

MarketToolz Seller Operating Platform • Hybrid Data Architecture

Cross-Marketplace Price, Fee & Match Confidence Analyzer

Zero fabricated metrics. Every output is backed by configurable marketplace fee schedules, SSRF-safe public metadata, or your verified Seller CSV/manual inputs.

Open Full Marketplace Command Center

1. Marketplace & Input Parameters

IDR

Marketplace Platform

Country & Currency

Product Title / SKU Name

Selling Price (IDR)

Unit COGS / HPP (IDR)

2. Verified Output & Provenance Report

What is the Cross-Marketplace Price, Fee & Match Confidence Analyzer?

The Cross-Marketplace Price, Fee & Match Confidence Analyzer helps omnichannel brands harmonize pricing and identify which marketplace yields the highest net profit margin per unit.

Formula & Mathematical Methodology

Match Confidence = Jaccard Token Overlap(70%) + Brand Match(15%) + Model/SKU Match(25%)

Prevents false cross-marketplace merges by requiring >=90% confidence for Strong Matches, 75–89% for Likely Matches, 60–74% for Possible Matches, and flagging <60% as distinct products.

How Does It Work?

Compare 2 or more marketplace listings across platforms and currencies. The engine normalizes prices into your chosen base currency, deducts each platform's specific commission schedule, scores product match confidence, and highlights the most profitable channel.

Expert Tips & Best Practices

Never price identically across all marketplaces without checking fee differences—Amazon's 15% referral fee requires a higher retail price than Shopify's 2.9% gateway fee.
Do not automatically merge competitor SKUs with <60% Match Confidence; slight model or bundle variations often explain large price spreads.
Use channel-specific bundles to prevent automated price-matching penalties across platforms.

Frequently Asked Questions

Two listings on different marketplaces may have similar keywords but represent a 1-pack vs a 2-pack or different models. Explicit Match Confidence prevents bad pricing decisions.

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Expert Tips & Best Practices

Never price identically across all marketplaces without checking fee differences—Amazon's 15% referral fee requires a higher retail price than Shopify's 2.9% gateway fee.

Do not automatically merge competitor SKUs with <60% Match Confidence; slight model or bundle variations often explain large price spreads.

Use channel-specific bundles to prevent automated price-matching penalties across platforms.