AI-Ready CMO

Amazon Ads Strategy Planner

Advertising & Paid MediaintermediateClaude 3.5 Sonnet or GPT-4o. Both excel at structured business strategy and can handle the multi-section output format. Claude is slightly better at operational detail and constraint-based thinking; GPT-4o is faster for large context windows. For this prompt, either works equally well.

When to Use This Prompt

Use this prompt when you're launching or scaling an Amazon Ads program and need a clear, phased roadmap that connects to revenue. It's especially valuable if your team is drowning in operational debt around Amazon Ads management—keyword research, bid optimization, and reporting—and you need to identify which AI tool or workflow change will unlock the fastest ROI.

The Prompt

You are an Amazon advertising strategist helping a marketing leader build a high-ROI Amazon Ads program. Analyze the business context below and create a focused, phased strategy that prioritizes quick wins and measurable revenue impact. ## Business Context [Provide your product category: e.g., consumer electronics, beauty, home goods, etc.] [Current Amazon sales: $X per month or annual revenue] [Primary customer acquisition channel today: organic search, paid search, social, email, or other] [Budget allocated to Amazon Ads: $X per month] [Current Amazon Ads spend (if any): $X per month or "starting from zero"] [Main business goal: increase market share, launch new product line, improve profitability, reduce CAC, or other] ## Current State [Describe your top 3-5 best-selling products on Amazon] [List any existing Amazon Ads campaigns (Sponsored Products, Sponsored Brands, Sponsored Display) and their approximate monthly spend] [What metrics are you tracking today? (ACoS, ROAS, impressions, clicks, conversions, revenue)] [What's your biggest operational bottleneck with Amazon Ads? (e.g., keyword research, bid management, creative testing, reporting)] ## Strategy Output Create a 90-day Amazon Ads strategy that includes: 1. **Quick Win (Weeks 1-4)**: One high-impact campaign or optimization that can show measurable lift within 30 days. Specify the tactic, expected lift, and success metric. 2. **Foundation Build (Weeks 5-8)**: Establish the operational systems and workflows to scale. Include campaign structure, keyword strategy, bid management approach, and reporting cadence. 3. **Scale Phase (Weeks 9-12)**: Expand to new ad types, audiences, or products based on Week 1-8 learnings. Specify which campaigns to expand and why. 4. **Operational Efficiency**: Identify the single biggest operational bottleneck in your Amazon Ads workflow and recommend one AI or automation tool to reduce friction (e.g., keyword research, bid optimization, reporting). 5. **Revenue Impact Forecast**: Project the revenue lift and ROAS improvement by end of Q1, assuming execution of all three phases. Be specific. Avoid generic advice. Reference actual Amazon Ads features (Sponsored Products, Sponsored Brands, Sponsored Display, DSP, keyword targeting types, bid strategies). Prioritize tactics that move revenue, not just metrics.

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Tips for Best Results

  • 1.Fill in the [bracketed] sections with real numbers and specifics from your business. Generic inputs produce generic strategies. The more detail you provide, the more actionable the output.
  • 2.If you're starting from zero Amazon Ads spend, adjust the prompt to ask for a 'launch strategy' instead of optimization. The AI will recommend starting with Sponsored Products before Brands or Display.
  • 3.Use the 'Quick Win' output to get board or CFO buy-in. Show the 30-day lift before committing to the full 90-day roadmap. This reduces risk and builds confidence in the strategy.
  • 4.After running this prompt, export the strategy into a Gantt chart or project management tool (Asana, Monday, Jira) and assign owners to each phase. Operational debt kills execution—clear ownership prevents it.

Example Output

## 90-Day Amazon Ads Strategy for [Product Category] ### Quick Win (Weeks 1-4): Rescue High-Intent Keywords **Tactic**: Audit your Sponsored Products campaigns for keywords with high impressions but low conversion rate (<2%). Pause bottom 30% by conversion rate. Reallocate budget to top 20% performers and increase bids by 15-20%. **Expected Lift**: 12-18% improvement in overall campaign ROAS within 30 days by eliminating waste. **Success Metric**: Track ACoS (Advertising Cost of Sales) weekly. Target: reduce from [current] to [target] by Week 4. ### Foundation Build (Weeks 5-8): Systematize Campaign Structure **Campaign Architecture**: - Sponsored Products: Separate campaigns by product line (e.g., "Premium SKUs," "Volume Drivers," "New Launches") - Sponsored Brands: One campaign targeting top 50 competitor keywords + branded keywords - Sponsored Display: Retargeting past 30-day visitors **Keyword Strategy**: Use AI-powered keyword research tool (e.g., Helium 10, Jungle Scout) to identify 200+ long-tail keywords with search volume >100/month and ACoS potential <40%. Organize into 5-7 tightly themed ad groups. **Bid Management**: Implement dynamic bidding (down only) on Sponsored Products. Set target ACoS at 35% for volume drivers, 25% for premium SKUs. **Reporting Cadence**: Weekly dashboard showing ACoS, ROAS, spend, and revenue by campaign. Monthly strategic review. ### Scale Phase (Weeks 9-12): Expand to New Audiences **Tactic 1**: Launch Sponsored Display campaigns targeting competitor ASIN pages and similar-to-view audiences. **Tactic 2**: Test Sponsored Brands with video creative on top 10 branded keywords. **Tactic 3**: If budget allows, pilot Amazon DSP for brand awareness among high-intent audiences (requires $10K+ monthly commitment). ### Operational Efficiency: AI Automation **Bottleneck**: Manual bid adjustments and keyword performance monitoring consuming 8+ hours/week. **Solution**: Implement AI bid management tool (e.g., Advertising Console, Perpetua, Skai) to automate daily bid adjustments based on target ACoS. Expected time savings: 6 hours/week. Reallocate to strategy and creative testing. ### Revenue Impact Forecast - **Current State**: $50K/month Amazon revenue, $5K/month ad spend, 10:1 ROAS - **End of Q1 Projection**: $65K/month Amazon revenue, $6.5K/month ad spend, 10:1 ROAS (30% revenue lift, maintained efficiency) - **Incremental Revenue**: +$15K/month = +$45K/quarter - **Incremental Ad Spend**: +$1.5K/month = +$4.5K/quarter - **Net Incremental Profit**: +$40.5K/quarter (assuming 70% margin)

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