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07e71ef987
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Q8t9GEyyLZbUQu26na1JQg
96 lines
5.3 KiB
Markdown
96 lines
5.3 KiB
Markdown
---
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name: ecommerce-consultation
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description: Strategic ecommerce and conversion-rate-optimization consultation framework — how to diagnose a store, prioritize fixes by revenue impact, and turn findings into an actionable plan. Read when asked to advise on, audit, or grow a WooCommerce store rather than just execute a change.
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version: 1.0.0
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auto-load: false
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tags: [ecommerce, cro, strategy, consultation, revenue, conversion]
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---
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# Ecommerce Consultation — Diagnose, Prioritize, Act
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## When to use this skill
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Load when the ask is advisory, not mechanical: "why aren't we selling", "audit my store", "how do I grow this", "what should I fix first". For executing a specific change use `woocommerce` / `woodmart-mcp`. This skill turns data into a prioritized plan.
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---
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## Principle: every recommendation ties to revenue
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Revenue = Traffic × Conversion Rate × Average Order Value × Purchase Frequency.
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Every finding must name which lever it moves and roughly how much. "Improve the product page" is not a recommendation; "the product page has no reviews block, and reviews lift conversion on considered purchases — adding it targets the CR lever" is. Lead with the lever, quantify when you can, and always end with a concrete next action.
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---
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## Step 1 — pull the real numbers first
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Never advise from assumption. Ground the audit in live data:
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- `wc_sales_report` — revenue, orders, items sold, AOV (gross ÷ orders) over a meaningful window.
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- `wc_get_store_stats` — broader snapshot.
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- `wc_list_products` — catalog size, what's published, pricing spread.
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- `wc_list_orders` — recent order flow, statuses, abandoned/failed patterns.
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- `wc_list_product_reviews` — social proof depth.
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- `wc_list_payment_gateways`, `wc_list_shipping_zones`, `wc_list_tax_rates` — checkout friction sources.
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- For traffic/behavior, pull from the connected analytics (GA4) rather than guessing demand.
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If the store has near-zero orders, say so plainly and shift the diagnosis to "is anyone arriving, and can they check out" before touching optimization.
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---
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## Step 2 — diagnose by funnel stage
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Walk the funnel; the biggest leak is the priority, regardless of where it sits.
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1. **Arrival** — is there qualified traffic? No traffic is an acquisition problem, not a CRO one. Check GA4 sources.
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2. **Catalog / discovery** — can visitors find and trust products? Category structure (`wc_list_product_categories`), search, filters (Woodmart shop layout), imagery quality.
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3. **Product page** — the conversion crux: real photos, clear price, benefit-led copy, reviews, trust signals, obvious add-to-cart.
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4. **Cart** — surprise costs kill carts. Shipping and tax surfaced early? Any upsell/cross-sell?
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5. **Checkout** — gateways enabled and ordered sensibly, shipping zone covers the customer's region, minimal fields, guest checkout allowed.
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6. **Retention** — post-purchase email, repeat-purchase incentives, win-back. Frequency is the cheapest growth lever once the rest works.
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---
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## Step 3 — prioritize by impact × effort
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Rank fixes, don't dump a list. For each finding score impact (revenue lever moved) against effort (tool change vs theme change vs new build). Order:
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1. **High impact / low effort** — do now. (A disabled gateway, a missing reviews block, an uncapped bug.)
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2. **High impact / high effort** — plan and schedule. (Rebuilding the product-page template, a new acquisition channel.)
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3. **Low impact / low effort** — batch into a cleanup pass.
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4. **Low impact / high effort** — drop.
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Present the top 3–5 only. A 20-item audit no one acts on is worth less than three fixes shipped.
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---
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## Step 4 — turn each finding into an action
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Write every recommendation so it can be executed without a follow-up question. Name the lever, the fix, the tool, and the expected direction:
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> **Checkout (CR lever):** Only one payment gateway is enabled and it's a manual method, forcing bank transfer. Enable a card gateway and set it as default (`wc_list_payment_gateways` to confirm, then enable in store settings). Expect a direct lift in completed checkouts.
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That is a plan. "Improve checkout" is not.
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---
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## Marketing output rule
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When the consultation produces any ad, caption, email, or promo copy, write it conversion-first and always include a clear call to action — never leave copy without the next step for the buyer. Keep it high-impact and concise; lead with the offer, close with the action. (This matches the account's standing preference for a strong CTA on all marketing output.)
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---
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## Deliverable shape
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A consultation output is: a one-line verdict (what's really going on), the live numbers it's based on, the top 3–5 prioritized fixes each with lever + action + tool, and the single thing to do first. End with that first action, stated plainly. Record durable findings to the store's memory (`memory_set`) so the next session doesn't re-audit from scratch.
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---
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## Anti-patterns
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- **Advising without data** — pull `wc_sales_report` and GA4 first, always.
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- **A flat 20-item list** — rank by impact; surface the top few.
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- **CRO on a no-traffic store** — fix arrival and checkout-capability first.
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- **Vague recommendations** — every one names the tool and the expected result.
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- **Optimizing AOV/frequency before the funnel converts at all** — sequence matters; fix the biggest leak first.
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