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Get your apparel products in front of more shoppers, on more channels.
GoDataFeed maps your full catalog depth — materials, fit, gender, colorways, sustainability attributes — to every channel requirement across Google, Amazon, TikTok, Meta, Walmart, and more. No data left behind. No clicks wasted.
Users
Integrations
SKUs processed daily
Helping merchants since
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Apparel feeds break in ways other categories don’t.
Every clothing product carries more data requirements than almost any other category. And every channel demands it differently.
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Missing required attributes.
Apparel listings require color, size, gender, age group, material, and pattern. Products missing any of them are automatically disapproved.
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Disconnected variants.
Sizes and colors that aren't grouped under a shared item_group_id get treated as duplicate products or suppressed entirely.
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Titles built for your store, not for channels.
Every channel rewards a different title structure. The titles on your website aren't optimized for how Google, Amazon, or TikTok rank and display products.
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Dead-end clicks from out-of-stock variants.
When only a few sizes are left, the listing keeps pushing ads. Clicks go up, conversions don't.
Built for catalogs that don't simplify.
GoDataFeed transforms catalog complexity into channel performance — giving you control over exactly which products appear, how they're described, and when they go live.
Map anything to anywhere.
Launch new channels in days.
Full control over what goes live.
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Every metafield you've built is a competitive advantage — if your feed uses it.
Shopify merchants invest months building metafield structures for material composition, inseam length, sustainable sourcing badges, fit philosophy, and more. Most feed tools pull title, price, and image. GoDataFeed maps the full metafield depth to whichever channel attribute delivers the most value.
- Map
meta.custom.fabric_weightto Google's material attribute to qualify for textile-specific ad placements - Push sustainability certifications directly into Meta and TikTok Shop product catalogs for brand-aligned audience targeting
- Use occasion tags and fit attributes to segment products into channel-specific custom labels for smarter campaign bidding
- Combine metafields with rule-based transformations to auto-generate optimized product titles at scale — no CSV exports, no manual editing
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Stop paying for clicks that end at "out of stock."
Set rules that suppress products when too many sizes are sold out — and restore them automatically when inventory is back.
- Hide any parent SKU where more than 60% of variants are unavailable.
- Rules run on every feed update — restocking brings listings back live automatically.
- Apply different thresholds per channel — stricter for Google Shopping, more permissive for remarketing audiences
- One rule set manages Google, Meta, TikTok, and every channel in your feed stack.
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Make every shopper's search land on the right product.
Proper parent-child grouping via item_group_id determines whether shoppers can filter your products by size and color on Google Shopping. GoDataFeed enforces correct variant groupings, ensures landing URLs resolve to the pre-selected variant, and validates required attributes before anything reaches the channel.
- Auto-generates and validates
item_group_idfrom product groupings. - Validates required apparel attributes (
size,color,gender,age_group) before submission. - Landing URLs resolve to the exact variant selected — reducing bounce rate from attribute mismatch
- Separate lifestyle and product images into distinct feed slots for creative testing by channel
Everything your product feed needs.
Six capability areas built for how complex catalogs are structured, priced, and sold.
Your product attributes structured for every channel.
Multi-variant catalogs are harder to feed than single-SKU products. GoDataFeed gives you surgical control over how every variant is normalized, grouped, and suppressed — by category, not catalog-wide.
Regex value normalization
Fix invalid formats, split ranges, and standardize attribute values by product category.
Intelligent variant mapping
Conditional rules route size, color, material, and other attributes to the correct feed fields based on how your store structures the data.
Attribute name normalization
Your store values become channel-accepted values at the feed level without touching your product data or creating duplicate entries.
Hidden metafield extraction
Pull custom attributes from Shopify metafields, BigCommerce custom fields, or any platform directly into feed attributes.
Titles and descriptions that perform.
The difference between a product that converts and one that doesn't is usually the listing quality. GoDataFeed rewrites titles and descriptions at the feed level, for every SKU, on every channel's terms. Your store data stays untouched.
AI-generated titles
Structured with brand, product type, key attributes, and specifications. Ordered for how each channel ranks and displays products.
AI-generated descriptions
Highlights features, specs, and selling points. Fills thin or missing descriptions automatically.
Keyword injection
High-intent search terms added to titles and descriptions. Better visibility without changing your catalog.
Bulk text transformation
Strip HTML, remove policy-violating promo copy, and fix inconsistencies across thousands of SKUs fast.
Google has 6,000+ product categories. Getting your products to the right one matters.
Broad category mapping means your products compete in the wrong searches and your Performance Max campaigns lack the product-type depth to segment effectively. GoDataFeed maps to the subcategory level, at scale.
AI-powered category mapping
Analyzes your product data and suggests the most specific category per channel. Confirm, regenerate, or override.
Rule-based bulk assignment
Build conditional logic using any product attribute to assign categories automatically. Rules run at every sync.
Rule-based bulk assignment
Build deeply specific product types for surgical Performance Max campaign control.
Channel-specific taxonomies
Google, Meta, TikTok, and Walmart each use different category schemas. One mapping configuration handles all of them.
Feeds that move at the speed of your business.
Inventory shifts, promotions start and end, and catalogs rotate. GoDataFeed lets you set rules that activate and deactivate automatically so your feed reflects reality without manual intervention.
Custom labels for campaign control
Tag products by margin, promotion, category, brand, or any attribute you want to bid on separately in Google Ads.
Scheduled rule activation
Set rules to turn on and off automatically on specific dates. Perfect for holiday promotions, seasonal pricing, and new launches.
Up to 24 syncs per day
Schedule feed imports up to 24 times per day. Stock and pricing changes reflect on the next sync across every channel.
Sale and promotional pricing
Map sale prices and compare-at prices for strikethrough displays. Apply percentage markups or discounts across categories using calculator rules.
Stop feed errors before they reach your channels.
Every feed is validated before submission. Issues are flagged with specific recommendations so you can fix them before they become disapprovals.
Pre-submission validation
Missing fields, formatting issues, and compliance gaps are flagged with specific recommendations and affected SKUs.
AI-powered Feed Analysis
On-demand diagnostics per SKU — title improvements, keyword suggestions, SEO review. Exportable as a shareable PDF.
Auto-attach compliance docs
Certification files attach to the right products by category. Set once, runs on every sync.
Automated alerts
Submission failures, error spikes, and credential issues surface immediately — before your customers notice.
One platform. Every channel.
Your shoppers search Google, TikTok, Meta, Amazon, and Walmart at the same time. GoDataFeed formats, optimizes, and keeps your listings compliant across all of them from a single feed build.
Pre-built templates
Google, Amazon, TikTok, Meta, Pinterest, Walmart, eBay, Microsoft, Snapchat, Criteo, and more. Pre-configured and maintained.
Clone and launch
Duplicate a feed, adjust the rules, and go live on a new channel without building each setup from scratch.
Variant deep linking
Send shoppers directly to the exact variant they clicked, instead of a generic product page.
FeedPilot
Pre-built rules from 10,000+ active feeds. Skip the learning curve. Apply proven optimizations from day one.
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See a live Shopify apparel catalog get optimized — in the platform.
Walk through metafield mapping, suppression rules, and variant groupings on a real feed.
Built for brands that move fast
7,000+
Users
200+
Integrations
50M
SKUs processed daily
From catalog to every channel in three steps.
Most apparel brands are live on their first channels within a week. Here's what the process looks like.
Connect your Shopify store
GoDataFeed pulls your full product catalog, variants, metafields, and inventory data directly from Shopify. No CSV exports. Your feed stays in sync with every product update.
Configure your transformation rules
Map metafields, set suppression thresholds, build custom labels for bidding segments, and validate required apparel attributes. Pre-built templates get you 80% of the way on day one.
Launch and optimize across channels
Push to Google, Meta, TikTok, and any other channel in your mix. As inventory changes, your suppression rules run automatically. As you refine your catalog data, your feeds update on schedule.
Results from the people running the feeds.
With GoDataFeed, your team can build, launch, and maintain smarter data feeds too.
Its great for sites where you have limited ability to automate the feeds for GMC. Very satisfied with the service.
I work with this app almost daily for my job, it's got a lot of tools and the support team is great!
What brands usually ask before switching.
Every feed management conversation eventually covers the same ground. Here's the honest version.
Your catalog is more capable than your feed.
See GoDataFeed's apparel-specific configuration in a live demo — metafield mapping, suppression rules, and variant architecture built for your catalog, not a generic template.