skills/clawhub.ai/Google Shopping Optimizer

Google Shopping Optimizer

Installation
SKILL.md

Google Shopping Optimizer

Analyze Google Merchant Center product data, diagnose feed quality issues, optimize bidding strategies, and generate actionable plans that increase impressions, clicks, and conversions while reducing wasted ad spend. This skill transforms raw Merchant Center diagnostics, Shopping campaign reports, and product feed exports into a structured optimization plan covering feed health, product data quality, competitive positioning, bidding efficiency, and campaign structure. It identifies the specific issues suppressing performance — disapprovals, missing attributes, poor titles, inefficient bids, wasted spend on non-converting queries — and produces prioritized fixes with projected impact estimates.

Quick Reference

Decision Strong Acceptable Weak
Feed health analysis Every product audited against all required and recommended attributes with specific errors listed per product Category-level attribute compliance checked with sample products reviewed Only checking disapproval count without diagnosing root causes
Title optimization Keyword-enriched titles following category-specific templates with search volume data informing priority Titles reviewed for completeness and basic keyword inclusion Generic title advice without category-specific guidance or keyword research
Bidding strategy Segment-specific ROAS targets with bid adjustments by device, audience, and product group Portfolio-level ROAS target with basic campaign structure Single ROAS target across all products with no segmentation
Query analysis Search term report mined for negatives, query-product match quality scored, and converting queries identified Top wasted spend queries identified and negated No search term analysis or only reviewing top-level campaign metrics
Product grouping Multi-level product groups by performance tier, margin, and category with differentiated bids Product groups by category or brand with some bid differentiation All products in a single ad group with uniform bids
Competitive analysis Benchmark pricing, impression share, and click share against category competitors with positioning recommendations Impression share reviewed with general competitive observations No competitive data analyzed

Solves

Installs
1
First Seen
3 days ago
Google Shopping Optimizer from clawhub.ai