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ecommerce-marketing-strategy-builder

Full-stack e-commerce marketing strategy builder. Analyzes your product, market, and competitors, then builds a complete omnichannel marketing plan covering paid ads, SEO, email/SMS, content marketing, social media, influencer partnerships, and referral programs. Includes target audience persona, competitive landscape, channel prioritization with budget allocation, content direction, and a 90-day

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add nexscope-ai/eCommerce-Skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

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E-Commerce Marketing Strategy Builder 🎯

Build a complete omnichannel marketing strategy for your e-commerce business. Covers all major channels — paid ads, SEO, email, content, social media, influencers, and referral programs — with budget allocation, audience targeting, and a 90-day action plan.

Installation

npx skills add nexscope-ai/eCommerce-Skills --skill ecommerce-marketing-strategy-builder -g

Capabilities

  • Target audience persona: Demographics, interests, pain points, buying motivations, and where they spend time online — built from product analysis and competitor research
  • Competitive landscape: How competitors position, price, and market — and where the gaps are
  • Channel prioritization: Which marketing channels to use and in what order, ranked by expected ROI for your specific product and stage
  • Budget allocation: How to split your marketing budget across channels, with benchmarks
  • Email & SMS strategy: Flows, sequences, and campaign types — the highest-ROI channel most sellers ignore
  • SEO & content plan: Keyword themes, content types, and publishing cadence
  • Paid ads brief: High-level ad strategy per platform (for detailed campaign setup, use ecommerce-ppc-strategy-planner)
  • Social media plan: Platform selection, content pillars, posting frequency
  • Influencer & affiliate direction: Who to partner with, what to offer, how to structure deals
  • Referral & loyalty program: How to turn existing customers into growth engines
  • Pricing positioning: Where to price relative to competitors based on market analysis
  • 90-day action plan: Week-by-week roadmap with priorities and milestones

Usage Examples

I'm launching a Shopify store selling premium dog treats, $24.99 per bag. Margin is 65%. 
Budget: $3,000/month for marketing. Target: US dog owners. Help me build a marketing strategy.
I sell handmade jewelry on Etsy and my own website. Price range $40-120. I have 2,000 
Instagram followers and 800 email subscribers. Monthly marketing budget is $1,500. 
I want to grow beyond Etsy. What's my strategy?
We're a new DTC skincare brand on Shopify. AOV $55, margin 70%. We have $10,000/month 
marketing budget and want to hit $100K revenue in 6 months. Build our marketing plan.

How This Skill Collects Information

Step 1: Extract from the prompt. Parse product type, price, margin, budget, current channels, goals, stage, competitors mentioned.

Step 2: Identify gaps. Compare against what's needed:

Critical info: | Info | Why It's Needed | |------|----------------| | Product type and price/AOV | Determines which channels and audiences fit | | Profit margin | Calculates how much you can spend to acquire a customer | | Monthly marketing budget | Allocates across channels | | Business stage | New launch vs growing vs established — changes priority order | | Marketing goal | Brand awareness vs direct sales vs both — changes channel mix | | Sales channels | Shopify only? Amazon + Shopify? Etsy? Affects strategy | | Existing assets | Email list, social following, content, reviews — what you already have to work with |

Step 3: One follow-up. Consolidate ALL missing questions into a single message. Use multiple-choice format to make it easy to answer quickly:

Example:
"Premium dog treats at $24.99, 65% margin, $3,000/month budget — great start! 
A few quick questions so I can build your strategy (just reply with the letters):

  1. Business stage?
     a) Pre-launch — haven't sold yet
     b) Early — selling, but under $10K/mo
     c) Growing — $10K-50K/mo
     d) Scaling — $50K+/mo

  2. Main goal?
     a) Brand awareness — get known
     b) Direct sales — revenue now
     c) Both
     d) Other: ___________

  3. Where do you sell?
     a) Shopify / own website only
     b) Amazon
     c) Etsy
     d) Multiple platforms (which ones?)

  4. Your target customer buys because of:
     a) Price / value
     b) Quality / premium
     c) Unique / can't find elsewhere
     d) Convenience
     e) Other: ___________

  5. What do you already have? (check all that apply)
     a) Email list — how many subscribers?
     b) Social media following — which platform, how many?
     c) Existing content (blog, videos, etc.)
     d) Customer reviews
     e) Nothing yet — starting from zero
     f) Other: ___________

  6. Any competitors you want me to analyze? (names or URLs, or skip)"

Key rules:

  • Never split into multiple follow-up rounds. One message, all questions.
  • Use a/b/c/d choices wherever possible — faster than open-ended questions.
  • Mix in 1-2 open-ended only where choice format doesn't work (competitors, specific numbers).
  • If user gives short answers like "1b 2c 3a 5e", that's enough — proceed with the strategy.

Step 4: Use estimates when stuck. Don't block on missing data — use category benchmarks, but:

  • Mark every estimate clearly with ⚠️
  • Explain what better data would change
  • List what to provide next time at the end of the report

Key Benchmarks (2025-2026)

Channel ROI

| Channel | Average ROI | Best For | Source | |---------|:----------:|----------|--------| | Email marketing | $36-40 per $1 | Retention, repeat purchases, cart recovery | Omnisend 2026 Report | | SMS marketing | $21-71 per $1 | Time-sensitive offers, cart abandonment | Omnisend 2026 Report | | SEO / organic search | $7.48 per $1 | Long-term sustainable traffic | FirstPageSage | | Google Ads (search) | $8 per $1 | High-intent buyers | Google Economic Impact Report | | Paid social (Meta/TikTok) | $2.5 per $1 | Awareness + prospecting | FirstPageSage ROAS Statistics | | Influencer marketing | Varies | Brand credibility, new audiences | — | | Affiliate marketing | Performance-based | Low-risk expansion (pay per sale) | — |

Marketing Budget Benchmarks

| Business Stage | Marketing as % of Revenue | Notes | Source | |---------------|:------------------------:|-------|--------| | New / pre-launch | 15-20% | Invest heavily to build awareness | Hostinger, WebFX | | Early stage (<$500K/yr) | 10-15% | Build foundational channels | Hostinger | | Growing ($500K-$5M/yr) | 7-12% | Optimize and scale what works | Gartner 2025 CMO Survey (avg 7.7%) | | Established ($5M+/yr) | 5-8% | Efficiency + retention focus | Gartner |

Budget Allocation Framework

| Channel | % of Budget | Priority | |---------|:----------:|:--------:| | Paid ads (Google, Meta, TikTok) | 25-35% | P1 — Immediate traffic | | Content + SEO | 20-25% | P2 — Long-term compound growth | | Email + SMS | 15-20% | P1 — Highest ROI, retention | | Social media (organic) | 10-15% | P3 — Brand building | | Influencer / affiliate | 10-15% | P2 — Credibility + reach | | Testing / new channels | 5-10% | P3 — Discover next winner |

Recommended overall split: 60% owned/organic (SEO, email, content) + 40% paid channels (PPC, social ads, influencers)

Customer Retention Stats

  • Repeat customers = 21% of customer base but drive 44% of revenue (Omnisend)
  • After 1st purchase: 27% chance of buying again → 2nd: 49% → 3rd: 62% (Smile.io)
  • Using 3+ marketing channels: 287% higher purchase rate (Omnisend)

Workflow

Step 1: Understand the Business

Collect and organize:

  • Product, price, margin, business stage
  • Marketing goal, budget, sales channels
  • Existing assets (email list, social, content, reviews)
  • Competitive landscape (who are the main competitors?)

Step 2: Build Target Audience Persona

Using info collected from the follow-up questions (stage, goal, buying motivation, existing assets), plus your own research:

  1. If user provided customer data → build persona from real data
  2. If user is pre-launch / no data → infer from:
  3. Product category → typical buyer profile (e.g., premium dog treats → dog owners 28-55, healt
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