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🧾 Sponsored Products Health Check (Beginner β†’ Advanced)

Audit and optimize your Amazon Sponsored Products campaigns with this step-by-step PPC health check. Learn how to reduce wasted ad spend, improve ACoS, and scale performance using proven strategies for beginner to advanced sellers.

Denis avatar
Written by Denis
Updated today

1. πŸ” Overview

A Sponsored Products health check is a structured review of your Amazon PPC campaigns to identify wasted spend, missed opportunities, and optimization gaps. It helps sellers understand whether their ads are working efficiently and aligns ad spend with business goals. In this guide, you’ll learn how to audit Sponsored Products campaigns step by step, from basic setup checks to advanced performance tuning.


2. πŸ‘₯ Who This Is For

  • πŸ†• Beginner sellers

    • Running Sponsored Products for the first time

    • Unsure why ads are spending without consistent sales

    • Need a repeatable way to review campaigns

  • πŸš€ Advanced sellers

    • Managing multiple ASINs or large catalogs

    • Looking to reduce wasted spend and improve ROAS

    • Preparing campaigns for scale or peak seasons


3. πŸ“˜ Key Concepts You Need to Know

  • πŸ“¦ Sponsored Products
    ​
    Keyword- or product-targeted ads that promote individual listings in search results and product detail pages.

  • πŸ“‰ ACoS (Advertising Cost of Sales)
    ​
    Ad spend divided by ad-attributed sales. Used to evaluate efficiency.

  • πŸ“Š TACoS (Total Advertising Cost of Sales)
    ​
    Ad spend divided by total sales. Helps measure overall ad impact beyond attributed sales.

  • πŸ”Ž Search Term
    ​
    The actual customer query that triggered your ad, visible in the Search Term Report.

  • 🎯 Match Types

    • Broad: Wide reach, exploratory

    • Phrase: Moderate control

    • Exact: High precision


4. πŸ› οΈ Step-by-Step Sponsored Products Health Check

Step 1: 🧱 Confirm Campaign Structure

  • Separate campaigns by:

    • Match type (Broad / Phrase / Exact)

    • Auto vs Manual targeting

  • Ensure each campaign has a clear purpose (discovery vs performance)

⚠️ Common pitfall:

Mixing multiple match types in one campaign, making performance data harder to interpret.

πŸ’‘ Pro tip:

Simple structure beats complex setupsβ€”clarity improves optimization speed.


Step 2: πŸ’° Review Budget and Bid Coverage

  • Check if campaigns are:

    • Running out of budget early

    • Barely spending at all

  • Compare Daily Budget to average daily spend

πŸ” What to look for:

  • High-performing campaigns limited by budget

  • Low spend caused by bids that are too low

πŸ’‘ Pro tip:

Budget should support winners, not prop up underperformers.


Step 3: πŸ“ˆ Analyze Core Performance Metrics

Review at the campaign and ad group level:

  • πŸ‘οΈ Impressions β†’ Visibility

  • πŸ–±οΈ CTR (Click-Through Rate) β†’ Relevance

  • πŸ”„ Conversion Rate β†’ Listing effectiveness

  • πŸ’Έ ACoS β†’ Efficiency

🧠 Guideline checks:

  • High impressions + low CTR = relevance issue

  • Good CTR + poor conversion = listing or pricing issue

  • Strong conversion + high ACoS = bid too aggressive


Step 4: 🧹 Mine Search Term Data

Open the Search Term Report and review:

  • Search terms with:

    • Spend but no sales

    • Strong sales at acceptable ACoS

  • Timeframe: minimum 14–30 days

βœ… Actions to take:

  • Add converting terms as Exact keywords

  • Add wasteful terms as Negative keywords

πŸ’‘ Pro tip:

Search termsβ€”not keywordsβ€”are where real optimization happens.


Step 5: 🧭 Validate Keyword Intent

Check whether keywords align with buyer intent:

  • Generic terms β†’ discovery, higher ACoS

  • Long-tail terms β†’ higher intent, better efficiency

⚠️ Common pitfall:

Judging all keywords by the same ACoS target regardless of intent.


Step 6: πŸ“ Review Placement Performance (Advanced)

Analyze Top of Search vs other placements:

  • Identify placements driving:

    • Strong conversion

    • Disproportionate spend

  • Adjust Placement Bid Multipliers carefully

πŸ’‘ Pro tip:

Placement optimization only works when keywords are already profitable.


5. πŸ§ͺ Real-World Example

Seller profile:

Mid-size private label seller, 12 ASINs, $40k/month revenue

Problem:

Sponsored Products spend increasing, ACoS above target

Action taken:

  • Ran a full health check

  • Moved converting search terms into Exact campaigns

  • Added negatives for high-spend, no-sale terms

  • Reduced bids on broad keywords with weak CTR

Result:

  • πŸ“‰ ACoS reduced by 18%

  • πŸ“† More stable daily spend

  • 🧩 Clear separation between discovery and performance campaigns


6. 🚫 Common Mistakes to Avoid

  1. ⏱️ Optimizing too frequently

    • Why: impatience

    • Instead: allow enough data before changes

  2. πŸ™ˆ Ignoring search term reports

    • Why: relying only on keyword metrics

    • Instead: review search terms weekly

  3. 🎯 Chasing low ACoS at all costs

    • Why: fear of ad spend

    • Instead: balance ACoS with growth goals and TACoS


7. βœ… Expected Results

After applying this health check consistently, sellers should see:

  • πŸ’Έ Reduced wasted ad spend

  • πŸ” Clearer insight into what drives sales

  • πŸ“Š More predictable performance

  • πŸ“¦ Campaigns that scale more reliably during promotions


8. ❓ FAQs

How often should I run a Sponsored Products health check?

Every 2–4 weeks for active accounts, more often during peak seasons.

What timeframe should I analyze?

At least 14 days; 30 days is ideal.

Is ACoS the only metric that matters?

No. Use ACoS, TACoS, and conversion rate together.

Should beginners use Auto campaigns?

Yes, but only as a discovery toolβ€”not a long-term structure.


Use the attached PPC Health Check checklist to follow along and validate each step as you review your campaigns.

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