Extension Ecom LLC

Extension Ecom LLC Helping Amazon Brands Grow Sales by 40% Within 4 Months On A Pay-On-Results Basis 🚀

05/30/2026

A client pushed back on me: "Why aren't we showing up for a certain keyword? That's the generic term. We should own it."

It felt like a reasonable argument.

Until I pulled the data.

Historical ACOS on that certain keyword: 300%.

Same keyword, different campaign: 220%.

Another test: 185%.

Then 150%.

We tried it four different times across four different campaigns.

Every single time, the broad term burned budget without converting.

The product was priced at a premium.

People typing in that keyword were comparison shopping at $6 to $12 price points.

We were not that product.

Meanwhile, a variation most people wouldn't think twice about — had a 4.33 ROAS over 30 days in the same period.

Broad generic keywords feel like they should work.

But relevance and intent win on Amazon, not volume alone.

I'd rather own ten specific, converting keywords than be invisible on one big one.

I'm graduating the performers into exact single-keyword campaigns now so I can push harder with more control.

Don't chase the keyword that sounds right.

Chase the data that proves it.

05/30/2026

Your Amazon main image is doing more work than any other part of your listing. 💪

Most brands aren't taking it seriously enough.

I run every main image candidate through a SERP test.

I crop our current main image it into the search results page and ask myself, is this the image that makes someone stop scrolling?

Here's what I've learned from testing across multiple accounts:

→ Vibrancy matters more than accuracy. An AI-enhanced, saturated image outperforms a technically correct but flat photo almost every time.

→ Adding "fake" packaging to your main image works. I know it sounds counterintuitive. But we've done this across dozens of listings, never once had a customer complaint, and it consistently improves click-through rate. Nobody's buying your product for the box. They're buying it for the product. The packaging just fills white space with keywords.

→ Lifestyle context drives clicks in certain categories. Tomatoes next to a fertilizer bottle. The context does the conversion work before they even click.

→ "Organic" on a badge outperforms "Made in USA" for search-driven categories. If you have both claims, lead with the one people are actually searching for.

→ Your competitor updating their main image is a signal. Take it seriously. It means they're testing and the category is evolving.

The main image is the ad for your listing.

Treat it like one.

05/29/2026

I used to copy Amazon reviews manually when building unique selling points for listings. 😵

There’s a bookmarklet that does it in one click.

Here’s how to set it up:
- Bookmark any tab in Chrome.
- Open Bookmark Manager > find the new bookmark > click the three dots > Edit.
- Replace the URL with the Reviews Extractor JavaScript snippet
- Name it Reviews Extractor and drag it to your bookmarks bar.

To use it:
- Go to any Amazon product page > scroll to Customer Reviews > click See More Reviews.
- Load as many reviews as you want by clicking See 10 More Reviews repeatedly.
- Click the Reviews Extractor bookmark > click Extract Reviews.
- It tells you how many were extracted (e.g. 60 reviews).
- Click Copy All, paste anywhere.

You get each review with its star rating, title, and full comment — structured and ready to hand to Claude for SEO work or USP extraction.

This removes one of the most time-consuming parts of listing research.

Instead of reading through reviews one by one and copy-pasting manually, I extract 60 at a time and pass the full batch straight into an AI prompt for analysis.

05/29/2026

I found a keyword called ‘Apples’ generating serious orders for a produce-saver brand. 🍎

I never would have targeted it deliberately.

The bulk file showed me it was already working.

Here’s a 4-step process I use order data in the bulk file to find hidden wins:
1. Filter to keyword and product targeting (enabled only).
2. Go to the Orders column, remove zeros — now I only see targets that have actually converted in the last 30 days.
3. Sort by orders, largest to smallest.
4. Look for anything surprising in the top performers.

Why did it work?

The product was a produce saver.

People searching for apples on Amazon saw a product that belonged in their fruit bowl.

Relevant enough to convert.

Would I have launched ‘Apples’ intentionally?

No.

But once I saw it performing, I could build a strategy around it.

This is what the bulk file is for, not just finding problems but also for harvesting unexpected winners.

Your top-converting targets are already in the data.

Sorting by orders and removing zeros gets you to them in under two minutes.

Look at what’s working before you start fixing what isn’t.

05/28/2026

A client asked me a question I wasn't expecting.

"ROAS is 3.44 — that's great, right?" 🤔

I had to slow down and explain something that changes how most brand owners think about their numbers.

The ROAS on the ads console only reflects ad-attributed sales.

It's not your actual return.

After Amazon's cut, you're looking at roughly half that number in real revenue.

So a 3.44 ROAS can feel exciting.

But if your actual return after fees is closer to 1.8, and you still have COGS, shipping, and overhead to cover — the picture looks very different.

The number I actually focus on is TACOS.

It measures your ad spend against total revenue, not just ad-attributed revenue.

That's the metric that tells you whether your business is becoming more or less efficient over time.

I set a 15% TACOS goal for this client.

Every spend decision gets filtered through that lens.

Once you have COGS entered properly, you can stop debating vanity metrics and ask the only question that matters: did our profit go up?

If yes, you did the right thing.

If no, something needs to change.

Stop optimizing for ROAS.

Start optimizing for profit.

05/28/2026

I once found a keyword spending at 150% ACOS with the highest CTR in the account. 😑

The PPC wasn’t the problem.

The listing was.

The product was a sock with a plastic buckle painted to look metal.

The keyword ‘metal buckle’ had a CTR of 7-8% — way above everything else in the account.

But the conversion rate?

Near zero.

And ACOS was around 150%.

People clicked because the product looked metal in the photos.

When they got to the listing and realized it was plastic, they left.

That one keyword taught me to always cross-reference CTR and CVR together — not separately.

High CTR alone = the ad is relevant to the search.

High CTR + low CVR = the listing doesn’t deliver on the ad’s promise.

Once I identified this, the path was clear, either we update the listing to address the material question head-on, or pull that keyword entirely.

If a keyword has a strong CTR but customers aren’t buying, check the listing first.

The keyword is doing its job.

Something between the click and the purchase is breaking the conversion.

05/27/2026

Most Amazon sellers waste money defending keywords they've already won.

I see it constantly - brands increasing spend into keywords they already rank top of search on, organically.

In reality...

· If you're already ranking organically in position 1, 2, and 3 for a term — spending/bidding more on that keyword doesn't increase your market share. It just costs you more for sales that would've occured and you spend more for the same click.

· The goal of ranking/branded campaigns isn't to be 'always on'. You need to show up 'enough' that a competitor can't steal your rank.

· The real money is in keywords where you don't already own the organic rank. That's where paid spend actually grows your sales incrementally.

· I reduced spend for a client on keywords they were ranking for and redirected it to non-branded keywords where we had actually opportunity to grow. Sales increased, rank improved. Same amount of spend.

Don't pay Amazon for clicks you were going to get anyway.

05/27/2026

Impressions are the one metric I check before I touch anything else in a PPC account. 👀

Low impressions break every other metric.

A 100% conversion rate on 2 clicks means nothing.

A 0% conversion rate on 7 impressions means nothing.

A 40% ACOS on a target launched 5 days ago means nothing.

Every number in the bulk file is relative to how many times the target actually showed.

Without enough impressions, you’re not making smart decisions

My process:

- Filter out zero-impression targets first. They’re invisible and should be addressed separately.
- Cross-reference the campaign start date to understand how long the target has been running.
- Use 100 impressions per day as a minimum before judging performance. Some categories need 300.
- If impressions are low but ACOS and TACOS have room, push the bid and come back in 3-4 days.

This single check has saved me from pausing targets that were actually working — they just needed more budget to show up.

Never judge a keyword’s performance until you’ve checked how often it’s actually been shown.

Impressions come first.

Everything else is downstream from that.

05/26/2026

I used to audit every new clients PPC account with a vague sense of 'good' or 'needs work.'

Now I score every account on a 100-point rubric - and it's changed how I prioritize everything.

Ad Launch (80 pts total)
· Product prioritization: 20 pts
· Targeting relevance: 20 pts
· Naming convention: 5 pts
· Number of campaigns launched: 20 pts
· Type of campaigns launched: 20 pts (based on approved proposal from cleanup)
· Ad launch timeliness: 15 pts (full score = within 3 days of getting access)

PPC Cleanup (100 pts total)
· Campaign renaming: 25 pts (spot-checked against top 10 spenders)
· Waste reduction: 25 pts (targets with ACoS above 2x baseline, last 30 days)
· Negations: 25 pts (search terms above ACoS baseline, last 65 days)
· Cleanup timeliness: 25 pts (full score = completed within 1-2 days of access)

The scoring system forces clarity.

I'm not debating whether an account is 'clean enough' - I'm measuring it.

That means faster QA, faster feedback, and faster improvement across the team.

05/25/2026

I was spending a chunk of every reporting cycle just clicking through Campaign Manager to download the same set of reports.

So I built something to do it for me.

I created a browser extension script that automatically:
1. Scans the Campaign Manager for the specific reports I need (SP, SB, SD - last 30 days)
2. Identifies the latest versions
3. Queues them all for download at once

Instead of clicking through each report individually, I hit the extension, confirm, and walk away while it runs.

I'm still improving it - right now it has a quirk with larger accounts that have duplicate report names, so I'm adding logic to handle those edge cases.

But even in its current state, it's eliminated the most tedious part of the download process.

Small manual tasks don't feel expensive until you add them up across every account, every week, every team member.

Building even a rough automation for repetitive clicks compounds into real hours saved - and it gets better every iteration.

Address

628 Sedge Meadow Court
Oconomowoc, WI
53066

Opening Hours

Monday 9am - 5pm
Tuesday 9am - 5pm
Wednesday 9am - 5pm
Thursday 9am - 5pm
Friday 9am - 5pm

Telephone

+12624432008

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