Last updated: 2026-07-31
Purpose: Quickly understand each platform’s core characteristics, differences from Amazon, and AI application focus, to help you decide which platform to enter first
- Platform Landscape Matrix
- Each Platform vs Amazon Core-Difference Cheat Sheet
- AI Application Focus Comparison
- Platform-Selection Decision Framework
- Commission and Fee Comparison
- Logistics Option Comparison
- Ad-System Comparison
- Multi-Platform Expansion Roadmap
Related reading: AI Application Landscape Assessment — the AI maturity in each area is detailed in the AI landscape
| Platform | 2025 GMV/revenue | Growth rate | Markets covered | Sellers | Cross-border friendliness | Detailed guide |
|---|
| Amazon | GMV $830B | Stable | Global | 2M+ | | Path A-C |
| Shopify | | Stable | Global (DTC) | | | D1 |
| TikTok Shop | Fast growth | Extremely high | US/UK/Southeast Asia | | | D2 |
| Walmart | GMV ~$15B (estimate) | 30%+ | US | ~200K | | D4 |
| Temu | GMV $90-95B (estimate; PDD does not break it out) | 50%+ | 90+ countries | | | D5 |
| Shopee | GMV $127B | 27% | 6 Southeast Asian countries | | | D6 |
| Lazada | | Medium | 6 Southeast Asian countries | | | D6 |
| Mercado Libre | GMV ~$65B (estimate; Q4 alone $19.9B) | 37% (Q4) | 4 Latin American countries | | | D7 |
| Rakuten | GMV ~$31B | Medium | Japan | 50K+ | | D8 |
| eBay | GMV $79.6B | 7% | Global | | | D9 |
| AliExpress | GMV $25B+ | 10-15% | Global | | | D10 |
| Coupang | Revenue $34.5B | 14% | South Korea | | | D11 |
| Faire | GMV ~$3B | 40%+ | US/Europe (B2B) | | | D12 |
| Otto | GMV ~€7.5B | 6% | Germany | | | D13 |
| Zalando | GMV €17.6B | 5-10% | Europe | | | D13 |
Sources: verified 2026-08 · Amazon GMV $830B · Shopee $127B / +27% · eBay $79.6B / +7% · Coupang revenue $34.5B · Zalando GMV €17.6B · Mercado Libre Q4 GMV $19.9B · Walmart seller count and GMV estimate
The three marked “estimate” have no official figure: Temu is owned by PDD, which does not break out its GMV ($70.8B in 2024; $100B was the 2025 target); Mercado Libre publishes quarterly GMV only; Walmart does not publish marketplace GMV. Rakuten, AliExpress, Faire, Otto, Shopify and Lazada are not yet verified and are queued in the marketplace-platforms batch of maintenance/fact-review-plan.yaml.
| Channel | MAU | Core users | E-commerce features | Value to sellers | Detailed guide |
|---|
| Instagram | ~3 billion | 18-34, global | Shop/Reels tags/Checkout | | E1 |
| Facebook | ~3 billion | 25-54, global | Shops/Marketplace/Groups | | E1 |
| YouTube | ~2.7 billion | All ages, global | Shopping/Affiliate/Shorts | | E2 |
| Xiaohongshu | 300-350 million | Women 18-35, China | Store/note links/livestream | | E3 |
| Pinterest | 619 million | Women 25-44, US/Europe | Shopping Ads/Rich Pins | | E4 |
| WhatsApp | ~3 billion | All ages, Latin America/Southeast Asia/Middle East | Catalog/payment/Chatbot | | E5 |
| Reddit | ~1 billion | Men 18-35, US/Europe | AI shopping search (in testing) | | E6 |
Related reading: Path A Operations Overview — Path A operations skills are detailed in Path A
Below, each platform lists only the 3-5 points most different from Amazon. For the common parts (keyword research, review analysis, competitor analysis), refer to Path A.
| Dimension | Amazon | Shopify | Impact on sellers |
|---|
| Traffic | Platform built-in (on-site search) | You need to drive your own traffic (SEO/ads/social) | Must master Meta Ads/Google Ads |
| Brand control | Extremely low (standardized pages) | Extremely high (fully customizable) | Can build brand equity |
| Customer data | Amazon owns it (doesn’t give to sellers) | Seller owns it (email/address) | Can do email marketing and repurchase |
| Pricing power | Constrained by Buy Box and competitors | Fully autonomous | Large brand-premium space |
| Commission | 8-15% + FBA fees | Payment 2.9% + monthly rent $39 | Higher margin |
AI focus: AI-generated ad material, email-marketing personalization (Klaviyo AI), product-page SEO, GEO optimization (getting AI search engines to recommend your product)
| Dimension | Amazon | TikTok Shop | Impact on sellers |
|---|
| Purchase decision | Rational comparison (reviews/price) | Impulse purchase (video seeding) | Content quality > everything |
| Traffic logic | Search intent | Algorithm recommendation | No need for keyword ranking, needs good content |
| Content form | Image-text Listing | Short video + livestream | Must continuously produce video |
| Creator ecosystem | None | Core channel | Creator collaboration is the main sales method |
| Commission | 8-15% | 2-8% | Lower commission |
AI focus: batch short-video script generation, creator screening and matching, livestream scripts, GMV Max ad optimization
| Dimension | Amazon | Walmart | Impact on sellers |
|---|
| Competition level | 2M+ sellers | 250K+ sellers | 8x less competitive pressure |
| Buy Box | Reviews+price+FBA | Higher price weighting+WFS | Price strategy more important |
| Listing score | No unified score | Listing Quality Score (visible) | Clear optimization direction |
| Ad bidding | Second-price auction | First-price auction | Bids must be more precise |
| Omnichannel | Pure online | Online + 4,700 stores | In-store pickup/returns is a unique advantage |
| User persona | Middle-high income | Family/price-sensitive | Content should emphasize practicality and value |
AI focus: Listing format conversion (Amazon→Walmart), first-price bid optimization, Walmart Connect search-term analysis, Buy Box monitoring
| Dimension | Amazon | Temu | Impact on sellers |
|---|
| Operational autonomy | High (seller controls Listing/price/ads) | Extremely low (platform controls most) | Not an “operations” platform, a “supply-chain” platform |
| Pricing power | Seller sets price | Platform sets price (fully managed) or suggested price (semi-managed) | Extremely small profit margin |
| Ad system | Amazon PPC (mature) | No on-site ads | Can’t influence traffic through ads |
| Brand space | A+ Content/Brand Store | Almost none | Not suitable for branded products |
| Core competitiveness | Operational capability | Supply-chain cost | Factory-type sellers have an advantage |
AI focus: product-selection data analysis, supply-chain cost optimization, product-image optimization, competitor-price monitoring (seller-side AI application is limited)
| Dimension | Amazon | Shopee/Lazada | Impact on sellers |
|---|
| Language | Mainly English | 6 languages (Indonesian/Thai/Vietnamese/Filipino/Malay/English) | Multilingual Listings are the core challenge |
| Promotion culture | Has promotions but not core | Extremely promotion-driven (9.9/11.11/12.12) | Not joining events = no traffic |
| Livestream | Not a main channel | Core sales channel | Must do livestreaming |
| Payment | Credit card/Amazon Pay | COD is 40-60% (some countries) | Need to consider COD rejection cost |
| Price sensitivity | Medium | Extremely high | Pricing must be competitive |
AI focus: multilingual Listing localization (6 languages), livestream-script generation, Shopee Ads keyword optimization, event-promotion strategy planning
| Dimension | Amazon | Mercado Libre | Impact on sellers |
|---|
| Language | English | Spanish+Portuguese (Brazilian Portuguese ≠ European Portuguese) | Must localize precisely |
| Payment | Amazon Pay | Mercado Pago (Latin America’s largest payment) | Installments are standard |
| Logistics | FBA | Mercado Envios Full | Using Full greatly boosts ranking |
| Installment culture | Uncommon | 12-18 interest-free installments is standard | No installments = extremely low conversion |
| Market penetration | High | Latin American e-commerce is only 12-15% | Huge growth space |
AI focus: Spanish/Portuguese localization (distinguish Latin American vs European usage), Mercado Ads keyword research, installment-strategy optimization
| Dimension | Amazon | Rakuten | Impact on sellers |
|---|
| Store page | Standardized (can’t customize) | Fully customizable (HTML/CSS) | Can build a branded store |
| Email marketing | Prohibited from contacting buyers | Encouraged (R-Mail) | Can do repurchase marketing |
| Points system | Amazon Points (weak) | Rakuten Points (extremely strong ecosystem) | Points multiplier is an important marketing tool |
| Event mechanism | Prime Day/BFCM | Super Sale/Marathon/days ending in 5 and 0 | Completely different event rhythm |
| Monthly rent | None | ¥19,500-100,000/month | Has a fixed-cost barrier |
AI focus: Japanese Listing optimization (desu/masu form), store-page design copy, R-Mail email generation, RPP ad optimization, points strategy
| Dimension | Amazon | eBay | Impact on sellers |
|---|
| Sales model | Fixed price | Fixed price+auction+Best Offer | More complex pricing strategy |
| Category advantage | All categories | Used/refurbished/collectibles/auto parts | Unique opportunities in specific categories |
| AI tools | No official AI Listing | Magical Listing (AI generates Listing from images) | eBay’s AI tools are more aggressive than Amazon’s |
| Ad attribution | Standard attribution | 2026 new attribution model (expanded attribution scope) | Need to recalculate true ROAS |
| International sales | Register separately per site | GSP one-stop | International sales are simpler |
AI focus: AI-generated condition descriptions for used/refurbished items, using Magical Listing, AI pricing-strategy analysis (auction vs fixed price), Promoted Listings optimization
| Dimension | Amazon | Coupang | Impact on sellers |
|---|
| Delivery speed | 1-2 days (Prime) | Same-day/dawn delivery | Higher logistics requirements |
| Language | English | Korean (required) | Korean Listing is a hard requirement |
| Certification | CE/FCC, etc. | KC certification (Korea-specific) | Extra compliance cost |
| Entry barrier | Relatively low | Higher (needs a Korean entity or agent) | Difficult to onboard |
| User expectation | Quality+price | Quality+ultra-fast delivery | Delivery experience is core |
AI focus: Korean Listing optimization (jondaetmal honorifics), KC certification needs analysis, Coupang search-ad optimization
| Dimension | Amazon (B2C) | Faire (B2B) | Impact on sellers |
|---|
| Buyers | End consumers | Independent retailers/boutiques | Completely different communication style |
| Pricing | Retail price | Wholesale price (40-50% of retail) | Completely different profit structure |
| Commission | 8-15% (all orders) | 15% new customer / 0% returning customer | Repurchase rate determines long-term profit |
| Content focus | Product features | Brand story + retail value | Must convince retailers “this sells well” |
| Relationship | One-time transaction | Long-term collaboration | Customer-relationship management is core |
AI focus: AI-generated brand story, wholesale pricing model, retailer-relationship management automation, Collections SEO optimization
| Dimension | Amazon.de | Otto/Zalando | Impact on sellers |
|---|
| Category | All categories | Otto general / Zalando fashion only | Category restriction |
| Compliance | CE/VAT | CE/VAT + EPR/VerpackG/WEEE/GPSR | Higher compliance cost |
| Return rate | Medium | Extremely high (fashion category >50%) | Must factor returns into pricing |
| Localization | Can use English | German required | German customer service is a hard requirement |
| Review | Relatively lenient | Strict (high quality requirements) | High entry barrier |
AI focus: German Listing optimization, AI-generated European compliance checklist, return-rate prediction and management
| Platform | Listing AI | Ad AI | Content AI | Customer-service AI | Data-analysis AI | Overall maturity |
|---|
| Amazon | | | | | | |
| Shopify | | | | | | |
| TikTok Shop | | | | | | |
| Walmart | | | | | | |
| Temu | | | | | | |
| Shopee | | | | | | |
| Mercado Libre | | | | | | |
| Rakuten | | | | | | |
| eBay | | | | | | |
| Coupang | | | | | | |
| Faire | | | | | | |
Note: Listing AI = the room for AI to assist Listing creation and optimization; Ad AI = the degree of AI automation in the platform’s ad system; Content AI = the value of AI-generated marketing content (video/image-text/social); Customer-service AI = the application room for AI Chatbot/auto-reply; Data-analysis AI = the value of AI-assisted data analysis and decision-making.
| Platform | #1 AI scenario | #2 AI scenario | #3 AI scenario |
|---|
| Amazon | Listing SEO (COSMO/Rufus optimization) | Search-term report AI analysis | Review batch analysis |
| Shopify | Meta/Google Ads AI-generated material | Email-marketing personalization (Klaviyo AI) | GEO optimization (AI search-engine recommendation) |
| TikTok Shop | Batch short-video script generation | Creator screening and matching | AI-generated livestream scripts |
| Walmart | Amazon→Walmart Listing conversion | First-price bid optimization | Buy Box price monitoring |
| Temu | Product-selection data analysis | Supply-chain cost optimization | AI product-image optimization |
| Shopee/Lazada | Multilingual Listing localization (6 languages) | Livestream-script generation | Event-promotion strategy planning |
| Mercado Libre | Spanish/Portuguese localization | Mercado Ads keyword research | Installment-strategy optimization |
| Rakuten | Japanese Listing optimization | R-Mail email AI generation | Store-page design copy |
| eBay | AI-generated used-item condition descriptions | AI pricing-strategy analysis | Using Magical Listing |
| Coupang | Korean Listing optimization | KC certification needs analysis | Search-ad optimization |
| Faire | AI-generated brand story | Wholesale pricing model | Retailer-relationship management |
| Otto/Zalando | German Listing optimization | AI-generated European compliance checklist | Return-rate management |
Of the AI skills you learned in Path A, how many can be directly reused on other platforms?
| Path A skill | Direct reuse | Needs adaptation | Completely different |
|---|
| A1 Product-selection analysis | Walmart/eBay/Shopee | Temu (different selection logic) | Faire (B2B selection) |
| A2 Listing optimization | Walmart (different format) | Shopee/Rakuten/Coupang (language) | TikTok (video-centric) |
| A3 Ad optimization | Walmart Connect | Shopee Ads/Mercado Ads | TikTok Ads/Meta Ads (different logic) |
| A4 Customer service | Walmart/eBay | Shopee (multilingual) | WhatsApp (conversational) |
| A5 Inventory | Walmart WFS | Shopee SLS/Mercado Envios | Faire (wholesale inventory) |
| A6 Compliance | Walmart | Europe (more complex) | Korea KC/Japan PSE |
You are a cross-border e-commerce multi-platform strategy expert.
My situation:
- Current platform: Amazon [US/EU/JP]
- Category: [X]
- Monthly sales: [X] units
- Monthly revenue: $[X]
- Brand registered: [yes/no]
- Overseas warehouse: [yes/no, in which countries]
- Team size: [X] people
- Monthly budget (available for new platforms): $[X]
- Goal: [increase revenue/reduce risk/enter new markets/build brand]
Please recommend the top 3 platforms I should enter first, and for each give:
1. Recommendation reason (based on my category and situation)
2. Estimated investment (time + money)
3. Estimated return (3 months/6 months/12 months)
4. Main risks
5. First-step action
<data_discipline>
- Specific figures or facts about market data, search volume, competitor performance, regulatory text, or fee rates must come from what I supplied. **Don't fill gaps from memory** — these facts move fast and your version may be stale
- When you need a fact to make a judgment, tell me which official source to verify it against, then stop and ask me
- Tag every conclusion with its source: [supplied by me] or [model inference]
</data_discipline>
| Category | Best platforms (besides Amazon) | Reason |
|---|
| Consumer electronics | Walmart → Shopify → Coupang | Walmart has low competition, Shopify has brand premium, Coupang is the Korean market |
| Home & furniture | Walmart → Pinterest → Faire | Walmart has low commission (10% vs 15%), Pinterest has high purchase intent, Faire is B2B |
| Fashion & apparel | TikTok Shop → Shopee → Zalando | TikTok is content-driven, Shopee is Southeast Asia, Zalando is European fashion |
| Beauty & personal care | TikTok Shop → Xiaohongshu → Shopee | The category with the best social-seeding effect |
| Sports & outdoor | Walmart → YouTube → eBay | Walmart has low commission, YouTube for reviews, eBay for the used market |
| Pet supplies | Walmart → Shopee → Faire | High-repurchase category, multi-channel risk diversification |
| Food | Shopify → Faire → Mercado Libre | DTC has high profit, Faire is wholesale, Latin America grows fast |
| Auto parts | eBay → Walmart | eBay is strong in the auto-parts category, Walmart is omnichannel |
| Collectibles/used | eBay | eBay’s unique advantage (auction + authentication) |
| Low-price standard products | Temu → AliExpress | Supply-chain-driven, no brand needed |
| Target market | Recommended platforms | Priority |
|---|
| US | Amazon → Walmart → Shopify → TikTok Shop | Largest market, multi-platform layout |
| Europe (Germany) | Amazon.de → Otto → Zalando | High compliance barrier but large market |
| Europe (Southern Europe) | Amazon → AliExpress | AliExpress is strong in Spain/France |
| Japan | Amazon.co.jp → Rakuten | Dual platforms cover the Japanese market |
| South Korea | Coupang | The absolute dominant player in the Korean market |
| Southeast Asia | Shopee → Lazada → TikTok Shop | Three platforms cover Southeast Asia |
| Latin America | Mercado Libre | The only choice in Latin America |
| Global (B2B) | Faire + Alibaba.com | B2B wholesale channels |
| Platform | Commission rate | Monthly rent | Logistics fee | Ad fee | Other fees |
|---|
| Amazon | 8-15% | $39.99/month | FBA fees | PPC | Storage fee/long-term storage fee |
| Shopify | 0% (payment 2.9%) | From $39/month | Arrange yourself | Meta/Google Ads | App subscription fees |
| TikTok Shop | 2-8% | Free | Platform logistics | TikTok Ads | Creator commission |
| Walmart | 6-15% | Free | WFS fees | Walmart Connect | None |
| Temu (fully managed) | 0% (spread model) | Free | Included | None | None |
| Temu (semi-managed) | 2-5% | Free | Seller bears | None | None |
| Shopee | 1-6% + 2% processing fee | Free | SLS logistics fee | Shopee Ads | Event fees (partial) |
| Mercado Libre | Varies by category/country | Free | Mercado Envios | Mercado Ads | Installment processing fee |
| Rakuten | 2-7% | ¥19,500-100,000/month | Seller arranges | RPP ads | System usage fee |
| eBay | Varies by category | $0-$350/month | Seller arranges/GSP | Promoted Listings | None |
| Coupang | Varies by category | Free | Rocket Delivery | Search ads | KC certification fee |
| Faire | 15% new customer / 0% returning | Free | Seller arranges | Promoted Listings | $10/new customer |
| Otto | Varies by category | Yes | Seller arranges | Yes | EPR/VerpackG |
| Zalando | Varies by category | Yes | Seller arranges | Yes | EPR/VerpackG |
| Platform | Official logistics | Delivery speed | Impact on ranking | Cost |
|---|
| Amazon FBA | | 1-2 days | Extremely large | Medium-high |
| Walmart WFS | | 2-3 days | Extremely large | Medium (no peak-season surcharge) |
| TikTok logistics | | 3-5 days | Yes | Medium |
| Shopee SLS | | 7-15 days (cross-border) | Yes | Low |
| Lazada Cainiao | | 5-12 days (cross-border) | Yes | Low |
| Mercado Envios Full | | 1-3 days | Extremely large | Medium |
| Coupang Rocket | | Same-day/next-day | Extremely large | Medium-high |
| eBay GSP | | Varies by destination | None | Medium |
| Platform | Ad types | Bidding model | Minimum bid | AI automation degree | Report quality |
|---|
| Amazon PPC | SP/SB/SD/DSP | Second price | $0.02 | | |
| Meta Ads | Multiple | Auction | No fixed | (Advantage+) | |
| Google Ads | Search/Display/Video | Auction | No fixed | | |
| Walmart Connect | SP/SB/Display | First price | $0.20 | | |
| TikTok Ads | Multiple | Auction | No fixed | | |
| Shopee Ads | Search/Discovery | CPC | Varies by country | | |
| Mercado Ads | Product/Display | CPC | Varies by country | | |
| Rakuten RPP | Search ads | CPC | ¥25 | | |
| eBay PL | Standard/Advanced | Per sale/CPC | 2% ad rate | | |
| Pinterest Ads | Shopping/Display | CPC/CPM | $0.10 | | |
- You want to pick a platform straight off the table. This comparison gives you the structural differences between platforms; it does not carry your constraints — capital, category, language capability, whether you can incorporate locally, whether you have a local return address. Two sellers reading the same table can reach opposite conclusions. The table narrows the candidates; it does not decide.
- The rates and policies in it have gone stale. Commissions, logistics fees and entry requirements are adjusted by each platform independently and out of step. Check any specific number against that platform’s own page. What stays valid here is which dimensions to look at, not the values filled into them.
- Your category is an exception on that platform. A platform’s overall profile is not how your category performs on it. Second-hand being strong on eBay does not make your second-hand category strong; social commerce suiting fast-moving goods does not mean it suits yours. Once you have candidates, look at what the leading sellers in your category are doing there — more useful than the platform profile.
- You compared entry cost but not exit cost. The cost of launching on a platform is easy to estimate and the cost of leaving is easy to miss — clearing stock, the sunk shop rating and reviews, deregistering a local entity and its tax filings. Work out how you would withdraw before you go in.
Related reading: D3 Cross-Platform AI Strategy — the cross-platform coordination strategy is detailed in D3
Multi-platform expansion roadmap for Amazon sellers:
Year 1: consolidate + second platform
Q1-Q2: consolidate Amazon (optimize Listing/ads/reviews)
Q3: launch Walmart (the most natural second platform)
Q4: launch Shopify (build a DTC channel)
Meanwhile: start social-media content building (Instagram/YouTube)
Year 2: social commerce + regional expansion
Q1: launch TikTok Shop (if the category fits)
Q2: expand to 1 new regional market (Southeast Asia/Latin America/Japan)
Q3: increase social-media investment (creator collaboration/ads)
Q4: evaluate Temu/AliExpress (if you have a supply-chain advantage)
Meanwhile: build a cross-platform data-analysis system
Year 3: scaling + branding
All platforms operate maturely
The brand has awareness across multiple channels
Cross-platform coordination strategy (content reuse/attribution/budget allocation)
Consider B2B (Faire) or more regional markets
| Number of platforms | Recommended team size | Monthly operating cost (excluding ads) | Management complexity |
|---|
| 1 (Amazon) | 1-2 people | $500-2000 | |
| 2 (+Walmart) | 2-3 people | $1000-3000 | |
| 3 (+Shopify) | 3-4 people | $2000-5000 | |
| 4+ (+TikTok/Shopee) | 4-6 people | $3000-8000 | |
| All platforms | 6-10 people | $5000-15000 | |
AI’s value: AI can let a 2-3 person team manage 4-5 platforms. The key is using AI to automate Listing creation, ad optimization, data analysis, and content generation, concentrating human effort on strategic decisions and customer relationships.