Shopping Feed Management

Strengthen the product data behind every dirham of Shopping performance.

A structured product data optimization system that improves Merchant Center readiness, strengthens Shopping visibility, and makes catalog growth scalable — engineered for ecommerce brands that treat feed quality as a performance layer, not a cleanup task.

Better feed quality

Cleaner Merchant Center readiness

Stronger Shopping performance support

Feed Health Overview

Live

Completeness

98%

+22pts

Disapprovals

−91%

Feed Score

A+

96/100

Attribute QualityCoverage

Title structure & keywords

96%

GTIN / MPN / Brand

99%

Product type / category

94%

Custom labels & attributes

88%

Merchant CenterReady · 12,480 products active

Healthy

Disapproval Reduction

−91%

30-day

From 342 to 31 active issues

Data-quality first

Merchant Center native

Catalog-scale ready

Rules, not one-off fixes

Performance-oriented

At a Glance

A Structured Performance Layer for Product Data.

Shopping Feed Management is the data layer behind Shopping visibility — not a cleanup task. Six interconnected disciplines that turn catalog data into a scalable performance asset.

Data Quality

Complete, consistent, and correctly typed product data — the foundation every Shopping surface depends on before visibility is even possible.

Attributes

Titles, GTIN, brand, categories, product_type, and custom labels tuned for relevance — so Google interprets each product accurately.

Merchant Center

Account health, policy compliance, and disapproval reduction — Merchant Center readiness that unlocks eligibility at full catalog scale.

Catalog Control

Taxonomy, hierarchy, and supplemental feeds structured so complex catalogs behave like a single coherent product system.

Optimization

Rule-based improvements and scalable attribute enrichment — optimization that compounds across thousands of SKUs, not one row at a time.

Performance

Feed inputs aligned with Shopping and PMax outputs — better product data flowing through every campaign, every bidding signal, every surface.

When You Need This

Seven Signals That Feed Quality Is Your Real Bottleneck.

If any of these are true, campaign optimization won't unlock the next level — product data will.

Merchant Center issues are blocking growth

Warnings, disapprovals, and account suspensions that throttle visibility before any campaign lever matters.

Products are eligible but underperforming

Approved feed, live campaigns, weak impressions — the signal that feed quality, not bid strategy, is the real ceiling.

Your feed is incomplete or inconsistent

Missing attributes, broken GTINs, inconsistent product types — Google struggles to interpret what you're selling.

Titles and attributes are too weak or generic

Titles that don't mirror search intent, generic brand fields, and thin descriptions limit which queries products show on.

Catalog scale makes manual optimization impossible

Thousands of SKUs, multi-feed setups, or multi-market catalogs that can't be cleaned row-by-row.

Shopping or PMax performance suffers from weak data

Campaigns are technically fine, but ROAS and impression share plateau because product inputs aren't competitive.

You need cleaner data before scaling campaigns

Before lifting spend, category expansion, or new markets — feed readiness has to come first, not after.

What This Covers

A Data Operations Layer, Not a Task Checklist.

Seven disciplines that work together as a single system — each compounding the next, not a list of one-off services.

A full diagnostic of your product feed — completeness, disapprovals, policy warnings, missing identifiers, malformed categories, and data inconsistencies.

OutputRanked issue register with impact and effort scoring

Core Use Cases

Five Engagement Patterns Mapped to Real Ecommerce Problems.

Feed Audit & Issue Cleanup

Products aren't getting served, disapprovals keep reappearing, and the team can't tell which issues are actually costing revenue.

Best for

Brands with active disapprovals, policy warnings, or inconsistent feed data blocking scale.

Outcome

A ranked issue register, cleaned feed, and root-cause fixes that stop the same problems from returning month after month.

In one line

"From 342 disapprovals to 31 — and a system to keep them down."

Goal → Solution

Start From the Outcome You Actually Want.

Feed terminology is a dead-end. Every engagement starts from the commercial outcome — and the feed work follows.

If you need

Need fewer feed issues and disapprovals

We deliver

Feed audit + issue cleanup with root-cause fixes that don't reappear

If you need

Need better Shopping visibility

We deliver

Attribute and catalog optimization tuned for Google's interpretation logic

If you need

Need healthier Merchant Center setup

We deliver

Merchant Center readiness — policy alignment, health audit, linked properties

If you need

Need scalable catalog control

We deliver

Rules, supplemental feeds, and taxonomy architecture that scales cleanly

If you need

Need better Shopping and PMax inputs

We deliver

Feed-to-campaign alignment — custom labels, groupings, and strategic data signals

If you need

Need cleaner product interpretation by Google

We deliver

Title, attribute, and product_type structure engineered for relevance matching

Why Feeds Underperform

The Real Gap Isn't Campaigns — It's the Data Underneath.

Most underperforming Shopping accounts don't have a campaign problem. They have a product data problem disguised as one.

What goes wrong

Incomplete product data — missing GTINs, sparse descriptions, empty attributes
Generic titles that don't mirror the actual search queries buyers type
Merchant Center errors and disapprovals stacking up unaddressed
Manual feed changes that don't scale past a few hundred SKUs
Weak category and product_type taxonomy — Google guesses what products are
Inconsistent data across large catalogs — brand, color, size misaligned
Campaigns relying on weak product inputs, then tuned at the bid level

How Avana Hub fixes it

Complete, consistent product data across every required and recommended field
Titles engineered around real search intent and how Google matches relevance
Stronger Merchant Center readiness — proactive health, policy, and eligibility work
Rule-based, scalable improvements that compound across the whole catalog
Clean category hierarchy and product_type structure tuned for interpretation
Consistent attribute values and brand signals at catalog scale
Feed inputs aligned with Shopping and PMax so campaigns compound, not compensate

Our Framework

The Avana Hub Shopping Feed Framework.

Five compounding phases — Audit → Clean → Enrich → Structure → Scale. Each one only works because the one before it does.

Audit

Diagnose the Data Layer

Feed completeness, Merchant Center health, attribute quality, and disapproval patterns — mapped as a ranked, prioritized picture.

Clean

Resolve and Stabilize

Cleanup passes, disapproval resolution, identifier alignment, and policy compliance — stabilizing the foundation before enrichment.

Enrich

Strengthen the Inputs

Title structure, attribute depth, category targeting, and custom labels designed for how Google actually interprets products.

Structure

Scale Through Rules

Feed rules, supplemental feeds, and taxonomy logic that turn manual row-by-row work into repeatable, catalog-wide improvements.

Scale

Align with Performance

Feed architecture tuned to Shopping and PMax strategy — product data flowing cleanly into the campaign surface above it.

Process

A Structured Engagement, Not a Ticket Queue.

Five phases from diagnostic to scale. Every week has a clear objective and an artefact your team can act on.

Week 1

Diagnostic & baseline

Review current feed health, catalog structure, and Merchant Center status. Map disapprovals, completeness gaps, and category-level risk.

Week 2

Attribute & completeness audit

Audit titles, identifiers, product_type, custom labels, and data consistency. Output: ranked issue register with effort and impact scoring.

Week 3

Cleanup, rules, structure

Apply cleanup passes, design feed rules and supplemental feeds, and refine catalog taxonomy to carry improvements across the catalog.

Week 4

Align with Shopping performance

Tune custom labels, product groupings, and feed signals to the Shopping and PMax strategy layer — feed inputs matched to campaign logic.

Ongoing

Monitor, refine, and scale

Weekly health monitoring, monthly refinement cycles, new-SKU onboarding, and scaling support across markets and categories.

Sample Output

Feed Work, Made Visible and Measurable.

Feed management gets written off as "back-office" because nobody sees the work. These are the artefacts your team actually gets.

Merchant Center Health Panel

Live

Account status

Healthy

Active products

12,480

Disapprovals

Policy warnings

Tax & shipping verified across 4 markets

Linked properties & conversion active

3 GTIN mismatches queued for cleanup

Automatic updates enabled for all feeds

Feed Completeness

98%

Required + recommended attributes

Required100%

Recommended96%

Custom labels88%

Disapproval Issue Board

Missing GTIN

Image quality too low

Landing page mismatch

Shipping not configured

30-day trend−91%

Title & Attribute Optimization — Before / After

Before

"Running Shoes — Men's"

Brand missing

No model or colour

No size or use-case

After

"Nike Pegasus 41 Men's Road Running Shoes — Black/White, Size 9–12"

Brand + model front-loaded

Colour + use-case included

Size range signals variants

Feed Rule Library

Append brand to title if missing

Map category → google_product_category

Derive custom_label_0 from margin tier

Flag low-stock SKUs to exclude

Normalize size attribute format

Applied across 12,480 SKUs automatically

Feed Quality → Shopping Performance (90-day trend)

Feed score

6296

Impression share

34%71%

CTR

1.4%2.3%

ROAS

3.1x6.3x

What You Get

Every Engagement Ships Tangible Artefacts.

No abstract "feed hygiene reports." Every deliverable is a concrete asset your ecommerce and paid media teams can act on or hand off.

Feed Audit Findings

Ranked diagnostic of feed health — completeness, disapprovals, attribute quality, and category risk with impact and effort estimates.

Merchant Center Readiness Notes

Account health scorecard, policy alignment, linked properties, shipping and tax setup — prioritised fixes your team can action.

Product Attribute Optimization Guidance

Title structure, identifier completeness, product_type mapping, and custom label strategy with before/after samples.

Rule-Based Improvement Recommendations

Feed rule library, supplemental feed design, and conditional transformations engineered to scale across the catalog.

Catalog Structure Suggestions

Taxonomy depth, category hierarchy, variant handling, and multi-market feed architecture ready for scale.

Disapproval & Issue Reduction Actions

Root-cause resolution plan for active disapprovals and a monitoring system that prevents the same issues from returning.

Shopping Alignment Notes

Feed-to-campaign alignment playbook — custom labels, groupings, and data signals matched to your Shopping and PMax strategy.

Scaling Recommendations

Where to expand coverage, which markets to prioritise, and how to onboard new SKUs without regressing feed quality.

Pricing Plans

Shopping Feed Management Pricing

Product data engagements — from one-time feed audit to ongoing Merchant Center readiness and multi-market catalog management. Scoped to catalog scale, market footprint, and performance goals.

Shopping Feed Audit

Full feed health, Merchant Center, and attribute quality audit with a prioritised cleanup and optimization roadmap

AED 2,650/mo

Feed completeness and data quality audit (up to 10,000 SKUs)
Merchant Center account health and policy review
Active disapproval and warning diagnostic with root-cause mapping
Title, GTIN, brand, product_type and category attribute quality review
Custom label and supplemental feed opportunity scan
Catalog structure and taxonomy assessment
Feed-to-performance alignment gap analysis
Prioritised 30 / 60 / 90 day optimization roadmap
Strategy walkthrough call
Delivered in 5–7 business days
Ongoing feed maintenance & rule deployment

Feed Readiness & Ongoing Management

Full feed cleanup + Merchant Center readiness + rule-based improvements + monthly optimization cycles

AED 5,600/mo

Everything in Shopping Feed Audit
Merchant Center readiness — policy, shipping, tax, linked properties
Active disapproval and warning resolution at root cause
Title, attribute, and category optimization across the catalog
Feed rule library design and deployment (up to 40 rules)
Supplemental feed architecture for scalable improvements
Custom label strategy aligned with Shopping and PMax
Weekly feed health monitoring + issue prevention
Monthly refinement cycles with attribute and rule iteration
Up to 25,000 SKUs, single-market catalog
Dedicated feed strategist

Multi-Market Catalog Program

Large-catalog, multi-market feed engineering with advanced rule architecture and full Shopping + PMax coordination

Custom Pricing

Tailored to your needs

Everything in Feed Readiness & Ongoing Management
Multi-market feed architecture (up to 6 markets / languages)
Advanced rule library with conditional transformations (100+ rules)
Catalog taxonomy and variant structure engineering
Feed coordinated with Shopping, PMax, and Performance campaigns
New-SKU onboarding pipeline and quality gating
Cross-border attribute localisation and compliance support
Quarterly catalog reconciliation and structure refresh
25,000+ SKUs, multi-market enterprise catalogs
Dedicated feed pod (strategist + data analyst)
Priority SLA + real-time Slack channel

No setup fees Cancel anytime Free consultation

FAQ

Questions Ecommerce Teams Ask Before Engaging.

Feed audit, Merchant Center readiness, attribute and title optimization, rule-based feed improvements, catalog structure refinement, disapproval resolution, ongoing maintenance, and feed-to-campaign alignment — handled as a single data-to-performance system, not isolated tasks.

Related Services

Explore Connected Ecommerce Growth Services

Ads Management

Parent pillar — Shopping Feed Management sits inside the broader paid acquisition practice across Google, Meta, and Bing

Google Shopping Ads

Campaign layer — the product-led advertising surface that depends on clean feed inputs to perform

Google Performance Max

Automated multi-surface Google — PMax store-goal campaigns lean heavily on feed quality and custom label strategy

Google Ads Management

Platform-wide Google execution — feed work is coordinated with Search, Display, and YouTube strategy above it

Pay Per Click (PPC) Advertising

Cross-channel PPC — product-data-led channels are one surface inside a broader paid acquisition mix

Remarketing Ads

Dynamic product remarketing — feed quality directly affects which products re-engage which audiences

E-commerce Marketing

Catalog-driven revenue strategy — where feed, CRO, lifecycle, and retention compound into ecommerce growth

E-commerce SEO

Organic counterpart — category and product page SEO that runs on the same catalog foundation

Conversion Rate Optimisation

Post-click performance — feed quality gets clicks to the page, CRO converts them

Amazon Ads

Marketplace sibling — retail readiness on Amazon runs the same discipline as Merchant Center readiness on Google

Ready to Engage?