GoDataFeed automates the most tedious aspects of multichannel ecommerce marketing and optimizes your product data to make your job easier and your efforts more effective.

When your feed price doesn’t match what’s on your PDP, Google and Meta throttle delivery or suspend items entirely.

The result?

• Up to 40% drop in impression share
• Disapproved Shopping ads
• CPCs spike as trust score drops

Real-world scenario: a flash promo updates your site price, but your feed only refreshes nightly. Google crawls mid-day → flags mismatch → disapproval. You don’t find out until ROAS tanks.

Fix: Automate delta feeds every 15 minutes with pre-submit validation. Platforms like GoDataFeed make this a non-issue.

Why does Google disapprove my products for price mismatches—even when the price is correct?

When Google or Meta detect that the price in your feed doesn’t match the price on your product landing page, they treat it as a trust violation. They may suspend that SKU, lower its priority, or even halt your entire Shopping or dynamic ad group. For a DTC brand in the $1M–$10M range, that allocation blow can cascade: you lose visibility for your best SKUs, waste budget, and confuse bidding algorithms.

This often happens when promotions, discounts, or flash sales update your website immediately, but your feed refresh runs on a delayed schedule or in batches (say nightly). That mismatch window becomes a blind zone where your best ads are flagged or disapproved before you even know it. Imagine running a big sale Friday evening—your site shows the discount, campaign launches, but your feed is still pushing the old price. Bam: disapprovals, cancellations, lost momentum.

The fix is to automate delta updates (only changed SKUs) at frequent intervals (e.g. every 10–15 minutes), and inject a validation layer that checks your feed vs. landing pages before submission. That way, mismatches get caught offline rather than being penalized. In essence: let your feed engine act as a gatekeeper rather than a helpless messenger.

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Google Shopping and Meta both rely on product identifiers for catalog integrity. One wrong GTIN or a missing “identifier exists” flag? Your entire SKU family can get wiped.

Common triggers:

• Using placeholder GTINs
• Incorrect “identifier exists” settings
• Clones of the same product with reused IDs

This isn’t just a warning—it’s often a product-wide block.

Fix: Map feed logic to dynamically assign correct GTIN/MPN values based on product type. Enforce validation rules at ingestion, not after rejection.

What happens when your GTINs, MPNs, or product IDs don’t match up across platforms?

Google’s Performance Max campaigns (and Meta’s catalog-based ads) depend heavily on correct product identifiers—GTINs, MPNs, and settings like identifier_exists. Mistakes here can make your product “invisible” or lead to product-wide suspension. Worse, misassigning IDs can confuse the system about your product’s family and category, making your ads under-deliver or be rejected entirely.

One common pitfall: using placeholder GTINs (like “000000”) just to pass validation. That might work temporarily, but once Google reviews your listing or matches it against existing catalogs, it triggers mismatch flags. Similarly, duplicate IDs across variants or conflicting IDs in merged feeds create chaotic attribution and eligibility errors. It’s like assigning the wrong Social Security number to your product—chaos ensues.

To prevent this, build mapping logic in your feed engine to dynamically resolve or override identifiers based on product type and sourcing. Use conditional rules (e.g. “if no GTIN then pull from supplier feed”) or skip problematic SKUs until you can correct them. A robust feed management engine should let you enforce these rules up front so your campaigns don’t get penalized downstream.