Incomplete attributes
Important properties such as colour, size, material or product type may be missing or inconsistently supplied.
Product Data Enrichment
Turn incomplete product data into something more valuable.
Price Pilot enriches product information with better titles, descriptions, identifiers, categorisation and structured attributes — creating product records that are clearer, more complete and more useful across ecommerce channels.
Better product data gives every channel more to work with
Product feeds are often built from data collected for a completely different purpose. Titles may be too short, identifiers may be missing, categories may be inconsistent and useful attributes may never have been captured at all.
That does not necessarily make the product unsellable — but it can make it harder for platforms to understand, classify, match and present it effectively.
Weak product copy
Supplier titles and descriptions are not always written for Shopping, marketplaces, search or customers.
Missing identity
Brand, GTIN, MPN and model information can be incomplete, inconsistent or buried in unstructured content.
Poor categorisation
Merchant categories do not always translate cleanly into the taxonomies required by downstream channels.
What we enrich
Build a richer product record
We focus on information that makes a product easier to identify, understand, classify and use across different ecommerce destinations.
The exact fields vary by product type. A running shoe needs different attributes from a fragrance, a power tool or a sofa. Enrichment should reflect the product, not simply fill every possible field.
Titles
Clearer, more descriptive product titles.
Descriptions
Useful product copy built around reliable information.
Brand & manufacturer
Normalised product identity where it can be established.
GTIN, MPN & model
Product identifiers that help matching and classification.
Categories
Product type and taxonomy information appropriate to the item.
Attributes
Colour, size, material, audience and other product-specific data.
Dimensions & quantities
Weight, volume, pack quantity and dimensional information.
Product benefits
Useful features, highlights and benefits supported by the product.
Channel-ready structure
Structured values that can be reused in feeds and integrations.
Structured → descriptive
Turn product attributes into richer customer-facing content
Structured fields such as brand, material, size, colour, dimensions, audience and product type can be combined into clearer titles, descriptions, highlights and other customer-facing content.
That helps make technical product data more useful to people as well as platforms.
Descriptive → structured
Extract useful attributes from existing product content
Useful product facts are often buried inside titles, descriptions, specifications or supplier copy. Where they can be identified with enough confidence, Price Pilot can turn that information into structured attributes that are easier to reuse across feeds and channels.
The result is a product record that can support both richer content and cleaner downstream data.
How product enrichment works
1
Start with your data
We take the product information you already have and identify what is present, missing or inconsistent.
2
Identify the product
Existing identifiers, supplier information and reliable product sources help establish what the item actually is.
3
Enrich and structure
Useful content and attributes are added, normalised and structured while retaining the underlying product identity.
4
Measure the result
Where practical, we compare performance before and after enrichment to understand whether the improved data created value.
Accuracy matters
More data is only useful when it is trustworthy
Product enrichment should not mean inventing attributes to make a feed look complete. We aim to add information only where it can be supported with enough confidence.
Where a value cannot be established reliably, leaving it blank is often better than supplying inaccurate product data.
That matters for customers, merchants and the platforms receiving the resulting feeds.
COMMERCIAL MODEL
We want enrichment to pay for itself.
Rather than treating enrichment as a simple per-product data-entry exercise, we want to link our commercial model to the incremental value better product data creates wherever that value can be measured reliably.
The right measurement approach will depend on the channel, catalogue and available baseline. Where incremental measurement is not practical, we can agree an appropriate fixed or project-based structure instead.
What does better product data look like?
The outcome is not a larger spreadsheet. It is product information that is more usable by the systems and people relying on it.
Better coverage
More useful product fields populated where reliable data exists.
Better consistency
Values structured and normalised more consistently across the catalogue.
Better matching
Stronger identifiers and categorisation can make products easier for channels to understand.
Better performance
Where measurable, we look for improvements in visibility, engagement and commercial outcomes.
Related service
Need us to manage the feed as well?
Enrichment improves the underlying product information. Feed Management takes that data and handles the formatting, validation, scheduling and delivery required by each destination.
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Find out what your product data is missing
Show us your existing catalogue or feed and we can look at where enrichment may create the most useful improvement.