E-commerce Revenue Pack

Automates the four highest-ROI intelligence tasks for e-commerce sellers — competitor price monitoring, product research, profit margin analysis, and abandoned cart recovery copy. Built for Shopify, Amazon FBA, and direct-to-consumer brands.

A complete intelligence and automation suite for online sellers. Covers the four workflows that directly impact margin and revenue.

When to use this skill

Use this skill when the user asks about any of the following:

• Monitoring competitor prices and detecting price changes
• Researching new products to add or test
• Calculating true profit margins including all fees and COGS
• Writing abandoned cart recovery email/SMS sequences
• Analyzing Amazon reviews for product improvement insights
• Finding suppliers or evaluating product viability

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Workflow 1: Competitor Price Monitor

Track competitor pricing and surface opportunities to win or protect margin.

What to research per competitor

• Current price for specified products
• Whether they're running sales or promotions
• Their shipping offer (free shipping threshold, speed)
• Review count and rating trends
• Stock availability signals (low stock = price increase incoming?)

Output format

COMPETITOR PRICE REPORT
Product: [name/ASIN/URL]
Your price: $XX.XX
Date: [YYYY-MM-DD]

COMPETITOR SNAPSHOT
[Competitor 1]
- Price: $XX.XX (▲ up $X from last check / ▼ down $X / — unchanged)
- Shipping: [free over $X / flat $X / Prime]
- Stock: [in stock / low stock / out of stock]
- Rating: X.X (XXX reviews)

PRICE POSITION
- You are: [cheapest / mid-range / most expensive] of X competitors
- Recommended action: [hold / test lower / increase — with reasoning]

OPPORTUNITIES
- [Competitor X is out of stock — opportunity to capture their traffic]
- [Competitor Y just raised prices — you have a window to win on value]

Instructions for the agent

1. Ask for: your product name/URL, your current price, and up to 5 competitor URLs or ASINs
2. Use web search to pull current pricing and availability for each
3. Generate the report
4. Set a reminder cadence if the user wants regular monitoring

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Workflow 2: Product Research Engine

Evaluate whether a product is worth adding to your store or catalog.

Research checklist for each product

• Search volume signals (is anyone looking for this?)
• Competition density (how many sellers? how entrenched?)
• Price range and margin potential
• Amazon Best Seller Rank (BSR) if applicable
• Review sentiment — what do customers love/hate about existing products?
• Seasonality signals
• Supplier availability and MOQ estimates

Scoring output (1–10 per category)

PRODUCT RESEARCH REPORT
Product: [name]
Date: [YYYY-MM-DD]

OPPORTUNITY SCORE

Demand:          X/10  [evidence]
Competition:     X/10  [evidence — 10 = low competition]
Margin potential: X/10  [evidence]
Differentiation: X/10  [how easy to stand out]

OVERALL: XX/40

VERDICT: [Strong opportunity / Proceed with caution / Avoid]

WHAT THE 1-STAR REVIEWS SAY (your product improvement roadmap)
- [Pain point 1]
- [Pain point 2]
- [Pain point 3]

YOUR DIFFERENTIATION ANGLE
[Specific suggestion for how to enter this market differently]

SUGGESTED STARTING PRICE: $XX–$XX
ESTIMATED MARGIN AT THAT PRICE: XX%

Instructions for the agent

1. Ask for the product name, category, and target platform (Shopify/Amazon/both)
2. Ask for their rough target price point
3. Research using web search
4. Generate the report with a clear verdict

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Workflow 3: Profit Margin Calculator

Calculate true net margin accounting for every cost layer.

Cost inputs to collect

• Product cost (COGS)
• Shipping to warehouse
• Amazon FBA fees OR Shopify payment fees (2.9% + 30¢)
• Advertising spend per unit (if known)
• Return rate estimate
• Platform referral fee (Amazon: 8–15% by category)
• Packaging cost

Output format

MARGIN ANALYSIS
Product: [name]
Selling price: $XX.XX

COST BREAKDOWN
- Product cost:         $X.XX
- Inbound shipping:     $X.XX
- Platform fee:         $X.XX (X%)
- FBA / fulfillment:    $X.XX
- Advertising (est):    $X.XX
- Returns provision:    $X.XX (X% rate)
- Packaging:            $X.XX
─────────────────────────────
TOTAL COSTS:            $XX.XX

GROSS PROFIT:           $X.XX
NET MARGIN:             XX%

BREAK-EVEN PRICE:       $XX.XX
MINIMUM VIABLE PRICE:   $XX.XX (at 20% margin)

VERDICT: [Healthy / Thin — watch ad spend / Unsustainable at this price]

Instructions for the agent

1. Ask for all cost inputs (offer defaults if user is unsure)
2. Calculate and generate the report
3. Run 3 scenarios: current price, 10% higher, 10% lower
4. Recommend the optimal price point

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Workflow 4: Abandoned Cart Recovery Sequences

Write high-converting email and SMS sequences for abandoned carts.

The 3-message sequence

• Message 1 (1 hour after abandon): Gentle reminder, no discount
• Message 2 (24 hours later): Social proof + address objections
• Message 3 (72 hours later): Final nudge + small incentive if appropriate

Rules

• Message 1 never leads with a discount — trains customers to abandon for deals
• Message 2 should address the most common purchase objection for that product type
• Message 3 discount should be modest (5–10%) and framed as time-limited
• SMS messages: under 160 characters
• Email subject lines: create urgency without being fake

Output per sequence

• 3 emails (subject line + body)
• 3 SMS messages (under 160 chars each)
• Recommended send times

Instructions for the agent

1. Ask for: product name, price, and the main customer objection (price / shipping / trust / unsure)
2. Ask for brand tone (casual / professional / fun)
3. Generate full email + SMS sequence
4. Generate 3 subject line variants for each email

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Output and file management

• Save to ~/Documents/drew2_workspace/output/[store-name]/
• Subdirectories: competitor-reports/, product-research/, margins/, cart-recovery/
• Name files: YYYY-MM-DD-type.md
• Confirm before writing