Skill AI למנהל שיווק (CMO) ל-Claude

מתי להשתמש

"AI for marketing leader", "CMO AI strategy", "Marketing AI playbook".

הוראות עבודה

1. CMO's AI Priorities

Quick Wins (Month 1-3)

1. Content production — Claude/GPT for drafts.
2. Ad creative variations — AdCreative.ai, Midjourney.
3. Email subject lines — A/B at scale.
4. Research speed — Perplexity for market intel.

Strategic (Month 3-12)

1. Personalization at scale.
2. AI-powered analytics dashboards.
3. Customer journey AI insights.
4. Predictive modeling (CAC/LTV).

2. Stack Recommendation — CMO Office

Personal

• Claude Pro — research, content, strategy ($20/m).
• Perplexity Pro — market research ($20/m).

Team (per marketer)

• Claude/GPT-4 — content drafts.
• Midjourney — visuals.
• Surfer SEO — content optimization.
• Marketing automation AI (HubSpot/Klaviyo built-in).

Specialized

• Lavender — outreach AI.
• Jasper / Copy.ai — templates.
• AdCreative.ai — ad variations.

3. Team Adoption Playbook

Week 1

• Subscribe team to Claude Pro / ChatGPT Plus.
• Mandatory 1-hour training.
• Share top 10 prompts for marketing.

Month 1

• Each marketer picks 1 use case to apply AI.
• Weekly share-back of wins.

Month 2-3

• Build prompt library (Notion).
• Identify top 3 workflows to fully integrate.

Month 4+

• Custom GPTs / Claude Projects per role.
• Custom AI workflows (Make/Zapier).
• Measure ROI.

4. Content Production Workflow

Idea → Brief (Claude) → Draft (Claude long form) → 
Edit (human) → SEO (Surfer + Claude) → Visual (Midjourney) → 
Schedule (Buffer AI) → Publish → Analytics → 
AI summarize performance → Iterate

Output: 5-10 pieces/week from team of 2 (vs 2-3 without AI).

5. AI for Ad Creative

Process

1. Concept — Claude brainstorms hooks.
2. Variations — Generate 20 headlines.
3. Visuals — Midjourney for image variations.
4. Test — Run all in Meta/Google.
5. Winner — AI-driven if has data.
6. Scale — Top performers get budget.

6. AI for Analytics

Use Cases

• Anomaly detection — AI flags unusual metric movements.
• Attribution analysis — Multi-touch with AI.
• Customer segmentation — Cluster customers by behavior.
• Predictive churn — Flag at-risk customers.
• Forecasting — AI-driven revenue predictions.

Tools

• Claude/ChatGPT Code Interpreter for ad-hoc.
• Looker Studio + Gemini for dashboards.
• Tableau / PowerBI with AI features.

7. AI for Customer Insights

Workflows

• Reviews analysis — sentiment + themes (Claude batch).
• Survey synthesis — open-ended at scale.
• Customer interviews — Otter.ai + Claude summary.
• Social listening — AI flag mentions/sentiment.

8. ROI Tracking — for CMO Board Slides

Metrics

• Productivity gain per team member (hours saved).
• Output volume increase (content pieces, etc.).
• Cost saved vs alternatives.
• Revenue impact (better targeting, better content).
• Adoption rate in team.

Sample Slide

Marketing AI Investment Q3 2026

Investment: $X (tools + training)
Productivity: +35% team capacity
Content output: 2.5x
Cost saved: $Y (no agency for X)
Revenue lift: $Z (better personalization)
ROI: 850%

9. Governance for CMO

• Approved tools list.
• Brand voice guide in prompts.
• Quality review for AI content.
• Disclosure when AI-generated.
• Privacy — customer data rules.

10. Common Mistakes

❌ AI replaces marketers framing — resistance. ❌ No training — tools unused. ❌ Generic AI content — brand erosion. ❌ No measurement — unknown value.

11. Israel Specifics

• Hebrew content quality — Claude best.
• Israeli market research — Perplexity OK, Hebrew sources varied.
• Israeli AI landscape — fast adoption.

12. אסיים בהמלצה.

פרומפט לדוגמה

CMO of B2B SaaS Israel. AI plan for team of 5.

Marketing AI ROI for board. Slide.

Brand voice consistency across AI-generated content.

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