Amazon PPC Data Analysis: What Actually Matters (From a Former Brand Owner)
- David Stephen
- Apr 28
- 5 min read
Updated: Jun 18
"Amazon and all related marks are trademarks of Amazon.com, Inc. or its affiliates."
Introduction
When I first started running Amazon PPC, for my own brand back in 2015, I thought I understood it.
I was:
Watching ACoS
Tweaking bids
Making changes fairly constantly
👉 But I wasn’t really analysing anything.
And that’s where most sellers are.
They’re:
Looking at numbers
Reacting to performance
But not understanding what the data is actually telling them
After 10+ years building and scaling a brand—and successfully exiting in 2020—I can tell you this:
👉 PPC success doesn’t come from running ads. It comes from understanding your data and making the right decisions consistently. It's about the Amazon PPC Data Analysis
This is the part most guides don’t explain properly.
So in this post, I’ll break down:
The metrics that actually matter (and what they really mean)
The reports I relied on when scaling
How I look at data now when auditing accounts
Why TACoS is one of the most important metrics most sellers ignore
The Amazon PPC Metrics That Actually Matter (And What They Tell You)
There’s no shortage of metrics in Amazon.
The problem isn’t access to data.
👉 It’s knowing what to focus on—and what each metric is actually telling you about your business.
🎯 Impressions
This is your visibility.
When I look at impressions, I’m not thinking:
👉 “Is this number high or low?”
I’m thinking:
👉 “Is Amazon understanding where my product should show?”
Low impressions → you’re not being seen (bids, relevance, or targeting issue)
High impressions → visibility is there, but it doesn’t mean performance
👉 Impressions are the top of the funnel. Nothing more.
🖱️ Clicks
Clicks tell you one thing:
👉 Did someone care enough to click?
If impressions are high but clicks are low:
👉 That’s not a PPC issue
👉 That’s usually:
Weak main image
Poor title
Pricing mismatch
👉 Ads bring visibility. Listings drive clicks.
📈 CTR (Click-Through Rate)
This is where things get more interesting.
CTR tells you:
👉 How competitive your listing is in the search results
Low CTR usually means:
Your product doesn’t stand out
Your positioning is off
Your offer isn’t clear
👉 I’ve seen sellers try to “fix PPC” when the issue was their listing all along
💰 CPC (Cost Per Click)
This is what you’re paying for traffic.
Most sellers obsess over CPC.
👉 That’s the wrong way to look at it.
Instead, ask:
👉 “Is this click worth what I’m paying for it?”
High CPC isn’t always bad.
👉 If it converts, it’s valuable
Low CPC isn’t always good.
👉 If it doesn’t convert, it’s wasted
💸 Spend
This is where emotions start to kick in for most sellers.
You see spend going up and think:
👉 “Something’s wrong”
But spend only matters in context.
👉 High spend with no sales = problem👉 High spend with scaling sales = growth
🛒 Sales
Simple—but often misunderstood.
Most sellers only look at:
👉 Ad-attributed sales
But from experience, I can tell you:
👉 That’s only part of the picture
This is where TACoS becomes critical (we’ll get to that shortly)
📉 ACoS
ACoS is useful—but it’s also one of the most misunderstood metrics.
It tells you:
👉 How efficient your ads are
But it does NOT tell you:
👉 How your business is performing
I’ve seen sellers pause campaigns because ACoS looked “too high”…
👉 And kill their growth completely
👉 ACoS without context is dangerous
🧠 Conversion Rate
This is one of the most important metrics in your entire account.
It tells you:
👉 How well your listing converts traffic into sales
Low conversion rate?
👉 That’s not an ads issue
👉 That’s:
Listing quality
Reviews
Price
Positioning
👉 Ads amplify your listing. They don’t fix it.
I offer FBA Coaching and Sponsored Ads Coaching and advice for UK sellers
The Metric Most Sellers Ignore (But Shouldn’t): TACoS
If there’s one metric I wish more sellers understood earlier, it’s this.
🎯 What is TACoS?
👉 Total Ad Spend ÷ Total Revenue (ads + organic)
Why I Focus on TACoS (Not Just ACoS)
When I was scaling my brand, I stopped looking at PPC in isolation.
Instead, I asked:
👉 “Is PPC helping grow the business overall?”
Because that’s what actually matters.
📊 Real Example
Let’s say:
£1,000 ad spend
£2,000 ad sales → ACoS = 50%
Most sellers panic here.
But if total revenue is:
👉 £6,000
Then:
👉 TACoS = ~16%
👉 That’s strong
Because PPC is driving organic growth.
💡 What You Want to See:
TACoS gradually decreasing
Organic sales increasing
PPC supporting ranking
👉 That’s how you scale properly
The Reports I Actually Use for Amazon PPC Data Analysis (And Why They Matter)
Over the years, I’ve simplified this.
You don’t need 20 reports.
👉 You need to understand a few properly.
🥇 Search Term Report (Non-Negotiable)
This is where real optimisation happens.
This shows:
👉 What customers actually searched
Not what you think they searched.
What I Look For:
What’s converting
What’s wasting money
What’s irrelevant
What I Do:
Move converting terms → Exact campaigns
Add negatives
Refine targeting
👉 This is the backbone of PPC
📊 Campaign Performance
This tells me:
👉 Where my money is going
I’m Looking For:
Which campaigns are working
Which aren’t
Actions:
Scale winners
Reduce waste
🎯 Placement Report
This is underrated.
It shows:
👉 Where conversions are actually happening
Sometimes:
👉 Top of search performs best
👉 Sometimes product pages do
Actions:
Increase bids where performance is strong
Pull back where it isn’t
🔍 Keyword-Level Data
For manual campaigns, this is key.
I’m looking at:
Conversion
Efficiency
Scalability
👉 This is where you refine and scale
How I Actually Analyse PPC Data
I don’t overcomplicate this.
I follow a simple process:
1. What’s Working?
👉 Scale if needed
No pointing in increasing bids if you're already the objectives required
2. What’s Wasting Money?
👉 Reduce it to decrease spend
👉 Remove it, if it's just not relevant or performing well enough to make a difference over time
3. Where’s the Opportunity?
👉 Improve it
4. Where Should Budget Go?
👉 Shift it to winners
👉 That’s it
Most sellers overcomplicate PPC.
👉 The fundamentals drive results
How Often Should You Analyse?
From experience:
Light check → every day to few days
Deep analysis → once per week
👉 Don't overreact with the light check
👉 Give changes time in order to get enough up to date data
👉 Act on the data if there's red flags
Common Mistakes I See All the Time
Focusing only on ACoS
Ignoring TACoS
Making decisions too quickly
Not using search term data
Trying to optimise too early
Not optimising at all
No strategy and goals to compare the data to.
👉 I’ve made a lot of these mistakes myself in the early days of my brand but quickly realised... I don't like wasting money, I needed structure and the knowledge to make the right decisions.
How This Connects to Rank, Defend & Harvest
This is where everything ties together.
Rank → Use data to discover
Defend → Protect what’s working
Harvest → Scale profitably
👉 Data feeds each stage
Final Thought
Amazon PPC isn’t complicated.
👉 But it does require:
Structure and goals
Patience
Good decision-making
Following a process
Learning
And most importantly:
👉 Understanding what your data is actually telling you
Want a Second Set of Eyes on Your PPC?
If you’re:
New Amazon Seller
Running ads but unsure what the data means
Spending but not scaling
Not sure what to change next
👉 I offer a free PPC audit and consultation
👉 I’ll show you exactly:
What’s working
What’s not
What to do next
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