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    Service · Google Shopping Feed

    Thefeedisthebid.Engineeritthatway.

    Shopping and Performance Max bid against the feed Google has, not the catalogue you wish you had. We rebuild Google Shopping feeds as commercial instruments - titles for query intent, attributes for eligibility, custom labels for BOI® - so the bidder serves margin instead of noise.

    Where feeds fail

    Six quiet failures sitting in most ecommerce Shopping feeds

    01 · Bland titles

    "Blue T-Shirt" loses to "Nike Dri-FIT Running T-Shirt - Men's Blue". Query match collapses, CTR halves, CPC rises.

    02 · Missing GTIN / MPN

    The single biggest cause of suppressed impressions. Google quietly demotes the SKU; you never see the auctions you lost.

    03 · Inconsistent product_type

    Hierarchy mismatch breaks Performance Max asset group targeting and listing group splits in Shopping.

    04 · One blanket image

    Merchant Center Next rewards multiple angles. Single hero shots leak eligibility on lifestyle and discovery surfaces.

    05 · No custom labels

    No labels means no BOI®. The bidder cannot tell a hero from a clearance line and treats them identically.

    06 · Native feed only

    Shopify and Magento default exports miss critical fields. Without supplemental feeds, GTIN-brand-MPN triplets stay broken.

    How we fix it

    Each failure has a documented repair, written into the feed

    Every line below is something a client can read in Merchant Center after the engagement. No theory, no slides - the feed itself is the deliverable.

    01 · Problem

    Bland titles

    Before

    Blue T-Shirt

    After

    Nike Dri-FIT Running T-Shirt - Men's Blue - UK Medium

    The fix

    We rewrite titles using a brand-type-attribute-variant formula tuned to the queries your category actually receives, then A/B the new structure in a supplemental feed so the impact is measured, not assumed.

    02 · Problem

    Missing GTIN / MPN

    Before

    GTIN blank, identifier_exists set to false

    After

    GTIN repaired, MPN backfilled, brand triplet validated

    The fix

    We pull a coverage report, source missing identifiers from manufacturer data or barcode lookups, and write the repaired values via a supplemental feed so the source system stays untouched.

    03 · Problem

    Inconsistent product_type

    Before

    Mixed depth, free-text categories, no hierarchy

    After

    Five-level taxonomy aligned to Google product categories and PMax asset groups

    The fix

    We rebuild product_type as a controlled hierarchy so listing groups, asset groups, and value rules can be split cleanly by category, margin, and BOI® job.

    04 · Problem

    One blanket image

    Before

    Single hero shot, white background, no lifestyle

    After

    Hero plus three to five additional_image_link entries covering angles, scale, and context

    The fix

    We brief the imagery, push additional_image_link via supplemental feed, and validate eligibility across Shopping, lifestyle, and discovery surfaces in Merchant Center Next.

    05 · Problem

    No custom labels

    Before

    custom_label_0 through 4 empty

    After

    BOI® job, margin band, stock cover, hero flag, new-customer flag

    The fix

    We assign every SKU a commercial job, write it to custom_label, and wire value rules so the bidder pays what each SKU is actually worth to the business.

    06 · Problem

    Native feed only

    Before

    Default Shopify or Magento export, no enrichment

    After

    Primary feed plus supplemental feed for identifiers, labels and rewrites

    The fix

    We layer a supplemental feed on top of the native export so commercial signals and repaired attributes flow through without touching your ecommerce platform.

    How we engineer a feed

    Five layers from raw catalogue to commercially led bid signal

    No black box. Every layer is a documented change you can read in Merchant Center and in the campaign.

    01

    Diagnose

    9-point audit covering approval rate, attribute completeness, title structure, image quality, GTIN coverage, taxonomy, supplemental coverage, label readiness, and feed-bid alignment.

    02

    Engineer

    Rewrite titles for query intent, repair GTIN / MPN / brand triplets, normalise product_type, attach supplemental feeds for the fields your platform misses.

    03

    Label

    Assign every SKU a BOI® job - Scale, Profit, Protect, Recovery, Gateway - then write that job and the margin band to custom_label fields the bidder can target.

    04

    Bid

    Wire value rules and asset group structure to the labels. The bidder now sees commercial role, not just price and conversion value.

    05

    Monitor

    Weekly review of stock cover, margin drift, returns, and approval health. Jobs and labels shift with the business; the feed is treated as a living asset.

    Our Proprietary Method

    BOI®

    Bid On Intent.

    Every SKU has one commercial job at a time - Scale, Profit, Protect, Recovery or Gateway - and never more than one. That job is dynamic. It changes as inventory, cash position and demand change. BOI® is the discipline of bidding against the job each SKU is actually doing this week.

    No blended targets. No SKU pulling in two directions. Just a commercially responsible bid against a single, named job.

    Inside the BOI® Method
    Registered trademark
    B

    Stands for

    Bid

    Every bid is a commercial decision. We bid against the one job a SKU is doing this week - never a blended target that quietly averages winners and leakers.

    O

    Stands for

    On

    On the single commercial job that SKU is carrying right now: Scale, Profit, Protect, Recovery or Gateway. One job. Never two. Reassigned as the business changes.

    I

    Stands for

    Intent

    Commercial intent - what the business actually needs from this SKU this week. Cash? Share? Clearance? New customers? The P&L sets the intent. We bid to it.

    The signal we live by

    One SKU. One job. Reassigned weekly.

    See the POAS engine

    Platforms

    Works with the stack you already run

    Platform

    Shopify

    Native integration via Google channel; supplemental feed for GTIN/MPN backfill and BOI® labels.

    Platform

    WooCommerce

    Direct connector or middleware; rule-built titles for variant-heavy catalogues.

    Platform

    BigCommerce

    Native channel app; supplemental feed for attribute gaps and custom_label injection.

    Platform

    Magento / Adobe Commerce

    Custom export for complex catalogues; middleware for rule-heavy stores.

    Platform

    Headless / custom stack

    Direct Content API for Shopping; supplemental layer for commercial signals.

    What it means for clients

    A repaired feed changes the P&L, not just the dashboard

    Ranges are taken from JudeLuxe engagements over the last 24 months. Your starting point dictates where in the range you land - we model both before signing.

    +18-42%

    Impression share recovered

    Once GTIN, MPN and product_type are repaired, suppressed SKUs re-enter the auction and previously invisible demand becomes addressable.

    -15-30%

    Average CPC

    Stronger titles and tighter query match mean the bidder competes on intent-rich searches, not broad mismatches you were quietly funding.

    +22%

    Blended Shopping ROAS

    Typical lift on a feed that moves from native-only to engineered, measured 60-90 days after BOI® labels are wired into value rules.

    Cleaner P&L

    Margin-weighted spend

    Budget follows commercial role - heroes protected, clearance accelerated, recovery lines bid down - so the catalogue stops cross-subsidising loss-makers.

    For the founder

    Spend stops cross-subsidising loss-making SKUs. Cash conversion improves because clearance and ageing stock are bid for velocity, not vanity ROAS.

    For the ecommerce manager

    Hero SKUs are protected, new launches get learning room, and PMax stops spraying budget across categories you cannot defend on margin.

    For the marketing director

    Reporting moves from blended ROAS to margin-weighted contribution by SKU job. You can answer the board's question: "what did this spend buy us?"

    Verified Case Study

    Global D2C Homeware

    -22% spend, +18% net profit

    Feed-led Shopping rebuild. Zombie SKUs with high returns excluded from the feed, audience signals tightened to high-intent buyers, bidding aligned to contribution margin not platform ROAS.

    -22%

    Ad spend cut

    +18%

    Net profit uplift

    Day 1

    Profitable

    Frequently asked

    Google Shopping feed questions, answered straight

    A product feed is the structured file (or API stream) that tells Google Merchant Center what you sell. It carries titles, descriptions, prices, GTINs, images, availability, and custom labels. Shopping and Performance Max bid against the feed Google has, not the catalogue you wish you had.

    Feed quality decides eligibility, query match, and click quality. Missing GTINs, weak titles, or inconsistent product types suppress impressions and force the bidder to compete on the wrong queries. No bid strategy can rescue a malnourished feed.

    Setup gets a feed approved. Engineering makes it work commercially: rewriting titles for query intent, building supplemental feeds, attaching custom labels for BOI® jobs, fixing GTIN/MPN/brand triplets, and rebuilding product types so the bidder can target margin, not just revenue.

    Yes. Native Shopify, WooCommerce, and BigCommerce direct integrations; Magento via custom export; middleware (DataFeedWatch, Channable, Productsup) where the catalogue is too complex for a native feed. We treat the feed as upstream of the bidder.

    Every SKU is assigned one of five commercial jobs - Scale, Profit, Protect, Recovery, Gateway - and that job is written to a custom_label. The bidder reads the label, applies the matching value rule, and budget follows the commercial role of the product, not a blanket ROAS target.

    Approval and indexation usually inside 24-72 hours. Title and attribute changes typically show measurable impression and CTR shifts within 7-14 days. Margin and ROAS changes flow through once the bidder has 2-3 weeks of new data to learn from.

    Margin band, contribution margin tier, stock cover days, returns rate, hero flag, end-of-season flag, new-customer-acquisition flag, and BOI® job. Each becomes a custom_label or supplemental attribute the bidder can target with value rules and asset group structure.

    A free 9-point feed audit is included at the start of every Shopping or PMax engagement. Standalone feed audits are available at googleaudit.judeluxe.com - same diagnostic, no obligation.

    Next step

    Get the 9-point Shopping feed audit. Free, no obligation.

    We score titles, attributes, GTIN coverage, supplemental gaps, image quality, taxonomy, custom labels, approval health, and feed-bid alignment. You get the diagnostic whether we work together or not.

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