Productsup

Empowering brands to deliver engaging product experiences worldwide.

usage· for enterprise

Productsup handles product data syndication for brands and retailers pushing large catalogs to marketplaces, retail media networks, comparison engines, and social commerce surfaces. The platform ingests messy source data, applies transformation rules, and outputs channel-ready feeds across 2,500+ destinations. AI assists with attribute mapping and content enrichment. Buyers are typically ecommerce directors and digital shelf teams at mid-market and enterprise brands managing tens of thousands of SKUs across fragmented global channels.

> pick this if

Pick this if you're a mid-market or enterprise brand or retailer syndicating tens of thousands of SKUs across dozens of marketplaces, retail media networks, and regional channels and need a governed feed platform rather than per-channel point tools.

> look elsewhere if

Look elsewhere if you run a sub-$5M Shopify catalog with a handful of channels — native Shopify feed apps or Feedonomics' SMB tier will cost less and deploy faster without the implementation overhead.

> Productsup is built for

marketplaces
platform-agnostic

> what it does for ecommerce

Syndicate product catalogs across 2,500+ marketplaces, retailers, and ad channels
Manage feed transformations, rules, and enrichment from one workspace
Optimize titles, attributes, and categorization using AI-assisted mapping
Support marketplace onboarding with channel-specific taxonomy and compliance checks
Handle high-SKU catalogs across multiple regions, languages, and brands

> how you'd use it

Global consumer electronics brand, $500M+ GMV, 8-person digital shelf team
Syndicating 40,000 SKUs across Amazon, Walmart, MediaMarkt, Bol.com, and Google Shopping in 14 countries, with each channel demanding different taxonomy, attribute schemas, and compliance fields
→ Single source-to-channel pipeline replaces a patchwork of agency-managed feeds and spreadsheets, cutting time-to-list on new marketplaces from weeks to days
Mid-market home goods brand, $30M GMV, 3 ecommerce ops staff
Pushing catalog from Akeneo PIM to 12 retail media networks and comparison engines, with AI-assisted enrichment filling gaps in titles, bullet points, and category mappings
→ Reduces manual feed work by roughly 60% and improves Shopping ad eligibility rates by closing attribute completeness gaps
Multi-brand retailer or distributor, $200M+ GMV, dedicated feed management team of 5–10
Aggregating supplier data of varying quality, normalizing it, and distributing to owned DTC sites plus 50+ third-party marketplaces and social commerce surfaces
→ Centralizes governance over feed rules and channel compliance, eliminating per-channel scripts maintained by engineering

> Productsup use cases

> how productsup compares

bidirectional editorial

InriverProductsup leads on outbound syndication breadth across 2,500+ channels; Inriver is stronger as the upstream PIM system of record with richer modeling and workflow.freemium

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