Anglera + Productsup
Productsup is built to move product data — it transforms and routes it at scale across thousands of channels. What it doesn't do is make that data better. Titles, descriptions, attributes, and search copy still arrive in whatever shape your suppliers sent them, and Productsup faithfully distributes exactly that. Anglera fills the gap upstream: before any feed goes out, Anglera enriches every SKU against real buyer signals — how buyers search, compare, and decide — then writes clean, conversion-ready content back to your PIM. The result is that what Productsup distributes is now actually good, not just fast.
What Productsup does
Productsup is an enterprise product content syndication and feed management platform that helps brands, manufacturers, and retailers transform, optimize, and distribute product data across 2,500+ channels — including Amazon, Google, Meta, and retail data pools. It processes over 2 trillion products per month for clients like L'Oréal, ALDI, and PUMA.
Pricing: Custom enterprise pricing only; no public tiers. Quote required via sales.
Productsup vs Anglera, side by side
| Productsup | Anglera | |
|---|---|---|
| Core job | Transform and distribute product data to 2,500+ channels and marketplaces | Enrich product data against buyer signals and write it back to the PIM before distribution |
| Enrichment depth | Rule-based field mapping and transformation; does not generate or improve content | AI-driven enrichment — fills missing attributes, rewrites titles and descriptions, scores readiness against how buyers actually search |
| Buyer-signal intelligence | No buyer-signal layer; distributes whatever data exists in the source | Every SKU is enriched to match real search queries, comparison criteria, and purchase triggers specific to your category |
| Where it sits in the stack | Downstream of the PIM — takes data out and routes it to channels | Upstream of syndication — improves data inside the PIM so every downstream channel benefits automatically |
| Manual effort | Drag-and-drop rule builder still requires teams to define and maintain transformation logic per channel | ~30-day implementation; ongoing enrichment runs automatically without per-channel rule authoring |
| Who it's for | Enterprise brands and manufacturers needing broad channel reach (1,000+ SKUs, global distribution) | B2B distributors, retailers, and manufacturers whose conversion problem is data quality, not distribution reach |