Before You Replatform, Audit the Data You're About to Migrate

An underperforming storefront gets blamed on the platform because the platform is the thing everyone can see and click through in a demo. We measured 200-plus distributor sites on the same fourteen signals and found the opposite pattern: the pillars that fail hardest are the ones made of product data, not the ones made of software. Before anyone signs a seven-figure replatform SOW, someone should be pulling ten live product pages and counting the attributes on them.

The instinct is understandable, and usually wrong

Replatforming is the intervention that feels proportionate to the pain. Conversion is soft, the site looks dated next to a competitor's, the CIO has a budget line for "digital transformation," and a platform migration is a project with a start date, a vendor, and a go-live party. Auditing a product catalog is none of those things. It's unglamorous, it implicates the merchandising and content teams rather than IT, and it doesn't come with a ribbon-cutting.

We built the Top Distributors 2026 index to stop guessing about this, and the data doesn't support the platform theory. Anglera's Digital Readiness Index scores four pillars on distributors' own live sites (Product Data Depth, Buyer Answerability, Commerce Transparency, and Machine & Agent Readiness), using signals that read the page a crawler actually gets, not a demo environment. Across the distributors we've measured so far, the two data-heavy pillars are the ones failing hardest.

What the fourteen signals actually show

The pattern holds across the sample. Distributors clear roughly two-thirds of the points available for things a platform vendor ships out of the box: published pricing, stated stock status, a working sitemap, permissive robots.txt. They struggle to clear half the points available for things nobody but the merchandising team can fix, like whether a product page actually says what the product is.

The median distributor's product page carries under 15 structured attributes, against a scale calibrated at 30 to reach full marks. Attribute depth is, in our framework's own language, "the number the channel most consistently under-invests in." Fewer than a quarter of measured catalogs reliably carry a GTIN or UPC, the identifier that lets a marketplace, a search engine, or a shopping agent recognize that two listings are the same physical part. None of that is a platform failure. A brand-new storefront on the newest commerce engine on the market inherits the same fifteen-attribute product page, just rendered in a nicer font.

The trade press has the shape of the argument, not the conclusion

Distribution Strategy Group has argued that inventory management deserves to be treated as ecommerce infrastructure rather than a back-office afterthought, that the software "is only as good as the data from the warehouse floor." That's the right instinct pointed at the wrong end of the supply chain. The same logic applies with more force to the product record itself: the storefront is only as good as the data on the page, and no amount of warehouse-floor accuracy fixes a PDP with two attributes and one stock photo.

Where the trade press stops short is the operational conclusion. It's willing to say data quality matters upstream of the platform. It's not yet willing to say don't sign the replatform contract until you've audited the record you're about to migrate. That's a harder thing to publish, because it tells the reader to spend money on something less visible than a new storefront. It's also the cheaper fix, and it's the one the evidence actually points to.

Independent reporting on replatform outcomes backs this up. A migration-agency analysis published in May found that most B2B ecommerce failures surface 30 to 90 days after cutover, not during it: undocumented pricing logic and hidden integration mappings that staging environments never exercise. A separate replatforming risk guide puts "data migration errors in pricing, product data, and account hierarchies" among the four highest-impact risks in any B2B platform move, alongside ERP integration instability. TCO research aggregated in Elogic's 2026 B2B ecommerce ROI report puts the share of ecommerce implementations exceeding their predicted total cost of ownership at 43 percent, with the integration and data layer flagged as the least transparent line item in every proposal. None of that is a platform-selection problem. It's a data-readiness problem wearing a platform-selection budget.

The record is portable. The platform's config is not.

Here's the asymmetry that should drive the sequencing decision. A clean, structured, well-attributed product record is portable. It moves from Magento to Shopify to a headless commerce layer without losing value, because it lives in the PIM or the source-of-truth feed, not in the templates. A platform's merchandising rules, search configuration, and integration mappings are not portable; every migration rebuilds them from scratch, which is exactly why Reveation's guidance for industrial and MRO replatforms tells operators to fix the data before they touch the platform.

Migrate a thin catalog onto a new platform and you get a thin catalog rendered in a prettier template. The faceted search still returns nothing because there's nothing to facet on. The PDP still reads like a part number with a price next to it, because the attributes that would make it read like anything else were never captured in the first place. You paid seven figures to move the problem.

Audit before you sign

The audit is not complicated, and it doesn't require a platform decision to start. Pull a sample of live product pages the way a buyer would find them — not the hero SKUs marketing picked for the RFP demo. Count structured attributes per page. Check for a manufacturer part number, a GTIN, real descriptive content beyond the spec table, more than one image. Check whether price and stock status are actually stated, and whether the pages are reachable without a login. That's most of what a replatform SOW should be scoped against, because it tells you whether the problem is templates or content — and it tells you before the invoice, not after.

This is close to what our Digital Readiness Index measures at the industry level, and it's exactly what Anglera does at the SKU level: your PIM stores the record, we do the work of getting it complete, correct, and consistent before it goes anywhere — including onto a new platform. Most implementations start from a flat file and go live in a couple of weeks, well inside the runway of a replatform discovery phase. Fix the record while you're still deciding on the platform. It's the one part of this project that survives the migration.