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Shopify

skill-thatrebeccarae-claude-marketing-shopify · by thatrebeccarae

Shopify e-commerce platform marketing expertise. Audit store performance, optimize conversion funnels, configure tracking, and integrate marketing tools. Use when the user asks about Shopify, e-commerce optimization, Shopify analytics, store conversion, product feeds, or Shopify app integrations.

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Install

$ agentstack add skill-thatrebeccarae-claude-marketing-shopify

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Shopify Marketing & E-commerce

Expert-level guidance for Shopify — optimizing store conversion, marketing integrations, analytics, product feeds, and the full e-commerce marketing stack.

Install

git clone https://github.com/thatrebeccarae/claude-marketing.git && cp -r claude-marketing/skills/shopify ~/.claude/skills/

Core Capabilities

Store Performance Auditing

  • Conversion funnel analysis (visit → add to cart → checkout → purchase)
  • Site speed and Core Web Vitals assessment
  • Mobile experience review (60-70%+ of DTC traffic is mobile)
  • Checkout optimization (Shopify Checkout extensibility, one-page checkout)
  • Product page optimization (layout, copy, social proof, urgency)

Marketing Integrations

  • Email/SMS: Klaviyo (recommended), Omnisend, Postscript, Attentive
  • Ads: Meta Pixel + CAPI, Google Ads + Enhanced Conversions, TikTok Pixel, Pinterest Tag
  • Attribution: Triple Whale, Northbeam, Polar Analytics, Lifetimely
  • Reviews: Judge.me, Yotpo, Stamped, Loox (photo reviews)
  • Loyalty: Smile.io, LoyaltyLion, Yotpo Loyalty
  • Subscriptions: Recharge, Loop, Bold, Skio
  • SEO: JSON-LD structured data, sitemap optimization, page speed

Analytics & Reporting

  • Shopify Analytics (built-in) — sessions, conversion rate, AOV, returning customer rate
  • GA4 integration via Google & YouTube channel or GTM
  • Server-side tracking setup (Shopify Pixel API + CAPI)
  • Customer cohort analysis (LTV, retention, purchase frequency)
  • Product analytics (sell-through rate, margin analysis)

Product Feed Management

  • Google Merchant Center feed optimization
  • Facebook/Instagram Catalog (via Meta Commerce Manager)
  • Feed attribute optimization: title, description, product type, custom labels
  • Variant handling and inventory sync
  • Disapproval diagnosis and feed error resolution

Conversion Rate Optimization (CRO)

  • A/B testing (using Shopify's built-in or tools like Shoplift, Visually)
  • Collection page optimization (filters, sorting, layout)
  • Cart and checkout optimization (cart drawer vs page, upsells, trust badges)
  • Post-purchase upsell flows (Zipify OCU, ReConvert, AfterSell)
  • Pop-up and lead capture strategy (Privy, Justuno, Wisepops)

Key Benchmarks

| Metric | Good | Great | Warning | |--------|------|-------|---------| | Overall Conversion Rate | 2-3% | 4%+ | 4s |

Essential Shopify Marketing Stack

Tier 1 — Must-Have

  1. Klaviyo — Email + SMS marketing, flows, segmentation
  2. Meta Pixel + CAPI — Facebook/Instagram ad tracking
  3. Google & YouTube channel — Google Ads, Shopping, free listings
  4. Judge.me or Yotpo — Product reviews and social proof
  5. GA4 — Web analytics (via GTM or Shopify Pixel API)

Tier 2 — Growth Stage

  1. Triple Whale or Polar Analytics — Attribution and analytics
  2. Smile.io — Loyalty and rewards program
  3. ReConvert or AfterSell — Post-purchase upsells
  4. Recharge — Subscriptions (if applicable)
  5. Privy or Wisepops — Pop-ups and lead capture

Tier 3 — Scale Stage

  1. Northbeam — Advanced multi-touch attribution
  2. Gorgias or Zendesk — Customer support (impacts repeat rate)
  3. TikTok Pixel — TikTok ad tracking
  4. Loop Returns — Returns management
  5. Rebuy — Personalized product recommendations

Workflow: Full Shopify Audit

When asked to audit a Shopify store's marketing:

  1. Tracking & Analytics — Pixel/CAPI setup, GA4 integration, UTM consistency, attribution tool
  2. Conversion Funnel — Session → ATC → Checkout → Purchase rates, identify largest drop-off
  3. Site Speed — Core Web Vitals, theme performance, app bloat, image optimization
  4. Product Pages — Layout, imagery, copy, reviews, trust signals, urgency elements
  5. Collection Pages — Navigation, filters, sorting, merchandising rules
  6. Cart & Checkout — Cart experience, checkout completion rate, payment options, trust badges
  7. Email/SMS — Platform integration, flow coverage, campaign frequency, revenue attribution
  8. Paid Media Integration — Pixel health, CAPI event match quality, product feed quality
  9. SEO — Title tags, meta descriptions, structured data, site architecture, blog content
  10. Customer Retention — Loyalty program, subscription offering, post-purchase experience
  11. App Stack — Review installed apps for redundancy, performance impact, cost
  12. Recommendations — Prioritized by expected revenue impact and implementation effort

Shopify-Specific Tracking Setup

Meta Pixel + CAPI

  • Use Shopify's Customer Events (Pixel API) — not the old theme-based pixel
  • Enable CAPI through Facebook & Instagram channel app
  • Verify Event Match Quality score in Meta Events Manager (target 8+)
  • Track: PageView, ViewContent, AddToCart, InitiateCheckout, Purchase

Google Ads + Enhanced Conversions

  • Install Google & YouTube channel for Shopping + Performance Max
  • Set up Enhanced Conversions in Google Ads
  • Verify conversion tracking in Google Tag Assistant
  • Feed optimization: product titles, descriptions, GTINs, custom labels

GA4

  • Recommended: Google Tag Manager via Shopify Pixel API (Custom Pixel)
  • Alternative: Google & YouTube channel (simpler but less control)
  • Key events: pageview, viewitem, addtocart, begin_checkout, purchase
  • Enhanced measurement: site search, scroll depth, outbound clicks

How to Use This Skill

Ask me questions like:

  • "Audit my Shopify store's conversion funnel"
  • "What apps should I add to my Shopify marketing stack?"
  • "Help me set up Meta CAPI on Shopify"
  • "My add-to-cart rate is low — what should I optimize?"
  • "Design a post-purchase upsell strategy"
  • "How do I optimize my Google Shopping product feed?"
  • "Review my Shopify checkout for conversion improvements"
  • "Plan a loyalty program for my DTC brand"

For detailed Shopify API reference, Liquid theme customization, and advanced configurations, see [REFERENCE.md](REFERENCE.md).

Analysis Examples

For complete analysis patterns, sample outputs, and use cases, see [EXAMPLES.md](EXAMPLES.md).

Scripts

The skill includes utility scripts for API interaction and automated analysis:

Fetch Store Data

# Get store info (API health check)
python scripts/shopify_client.py --resource shop

# List recent orders
python scripts/shopify_client.py --resource orders --days 30

# Export products as CSV
python scripts/shopify_client.py --resource products --status active --format csv --output products.csv

# Quick order count
python scripts/shopify_client.py --resource order-count --status any

Run Analysis

# Full store audit (all analyses combined)
python scripts/analyze.py --analysis-type full-audit

# Conversion funnel (last 30 days)
python scripts/analyze.py --analysis-type conversion-funnel --days 30

# Product performance
python scripts/analyze.py --analysis-type product-performance --days 30

# Customer cohorts (last 90 days)
python scripts/analyze.py --analysis-type customer-cohorts --days 90

# Revenue analysis with output file
python scripts/analyze.py --analysis-type revenue-analysis --days 30 --output revenue.json

The scripts handle API authentication, rate limiting, pagination, and basic analysis. I'll interpret the results and provide actionable recommendations.

Troubleshooting

Authentication Error: Verify that:

  • SHOPIFY_STORE_URL is your .myshopify.com URL (not your custom domain)
  • SHOPIFY_ACCESS_TOKEN starts with shpat_ and is from a Custom App
  • The app has the required API scopes (readorders, readproducts, read_customers)

Rate Limiting: The scripts handle Shopify's 2 requests/second limit automatically. If you see 429 errors, the retry logic will wait and continue. For large stores, consider using --limit to reduce data volume.

No Orders Returned: Check that:

  • The date range (--days) covers a period with orders
  • The --status filter matches your orders (use any to see all)
  • The Admin API access token hasn't expired

Import Errors: Install required packages:

pip install -r requirements.txt

Security & Privacy

  • Never hardcode API credentials in code — use .env files
  • Store access tokens outside version control
  • Add .env and credential files to .gitignore
  • The scripts are read-only — they do not create, modify, or delete any Shopify data
  • Use Admin API scopes with minimum required access (read-only)
  • Customer PII (emails, names) is processed locally and never stored persistently
  • Rotate access tokens periodically

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.