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If you've ever pulled Amazon Brand Analytics data to study a competitor or a seasonal trend, you already know the pain.

Amazon gives you Top Search Terms—but only one week at a time.

Want to see how a keyword performed over the last quarter?

You're downloading report after report, manually stitching everything together, then hoping your spreadsheet doesn't become a mess.

This week I found a Helium 10 feature that completely removes that bottleneck. As far as I know, no other tool offers this.

Here's how it works—and two practical ways to use it.

Brand Analytics Top Search Terms is incredibly useful.

It shows you the top search terms, ranked by frequency, along with the top 3 clicked products, categories, and brands for each keyword.

You can enter your own ASIN—or a competitor's—and instantly see which keywords are driving their clicks and conversions.

The catch?

Amazon only lets you view the data one reporting period at a time (weekly, monthly, or quarterly).

If you want to analyze 8 weeks of trends or compare this season with last year's, you're forced to download multiple reports and build your own comparisons.

Inside Helium 10's Black Box, there's a feature called ABA Top Search Terms.

It pulls the same Amazon Brand Analytics data, but lets you select multiple weeks at once and view everything together.

Simply search by ASIN or keyword, choose your reporting range, tick every week you want, and Helium 10 combines the data into one report.

No endless downloads.

No spreadsheet gymnastics.

This is where it gets genuinely useful. Once you've selected your weeks, Helium 10 gives you a colour-coded summary showing keyword count and search volume for each individual week, plus word frequency across your selection — all without opening a single CSV.

And that's before you even scroll down.

Each keyword also includes:

Everything you need for real competitor research, all in one place.

🎯 Use Case #1 — Find a Competitor's Blind Spot

Here's a real example.

I searched a facial razor ASIN in the dermaplaning niche.

For the keyword "best dermaplane razor," Billie—one of the strongest brands in the category—didn't appear in the Top 3 clicked ASINs.

Even better, clicking the dropdown beside any keyword lets you view the week-by-week breakdown, including:

🎯 Use Case #2 — The Conversion Share Filter

This is the filter I use most when researching competitors.

Set Conversion Share > 1%.

Helium 10 instantly returns every keyword where your competitor is actually generating sales—not just getting clicks.

That distinction matters.

A listing can receive plenty of clicks but very few purchases.

Filtering by conversion share removes the noise and reveals the keywords where competitors are truly winning.

That's the list worth studying.

Instead of researching one competitor at a time...

Analyze 3–5 competitors together.

Here's the workflow:

1️⃣ Enter 3–5 competitor ASINs into the search.
2️⃣ Filter Conversion Share > 1%.
3️⃣ Export the combined keyword list.
4️⃣ Compare it against your own ranking keywords.
5️⃣ Every keyword they convert on—and you don't—is your next ranking opportunity.

⏳ The Right Tool Buys You Back Hours

There's a version of every job that's harder than it needs to be.

Not because the work is difficult...

But because the tools make it difficult.

Downloading week after week of Brand Analytics reports isn't hard.

⏰ It's just slow, repetitive, and easy to postpone.

💡 And the analysis we postpone is often the analysis that would have revealed our biggest opportunity.

The right tool doesn't make you smarter.

It simply removes enough friction that you finally do the work you already knew was worth doing.

That applies to keyword research...

🚀 And to almost every process you build.

📖 This Week's Read: Four Thousand Weeks by Oliver Burkeman. A thoughtful, funny reminder that life isn't about optimizing every single minute.

Sometimes the biggest productivity upgrade is simply removing unnecessary work.

💊 That’s it for this week.
Stop downloading. Start filtering.

Alina & The AZ Rank Team
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