[EPFN] In God We Trust. All Others Must Bring Data.

What Your Shoppers Are Really Saying

Every successful product starts with understanding why people buy — and most Amazon sellers completely miss that part.

They dig through keyword data, track competitors’ BSR, even copy their packaging… but they never analyze the actual voice of their customers.

VoC AI (Voice of Customer AI) fixes.

It scrapes thousands of Amazon reviews, filters out the noise, and shows you what matters most: who your shoppers are, when they use your product, what drives them to buy, and what frustrates them enough to leave a bad review.

Instead of reading 10,000 reviews manually, VoC AI turns all that data into structured insights — motivations, expectations, pain points, and improvement priorities. You instantly see which product features convert, which ones hurt your brand reputation, and what kind of customer experience creates loyalty.

That’s not guesswork — that’s product design backed by real customer behavior.

Sellers use it to redesign packaging, adjust formulations, and even identify opportunities for bundles or new variations before investing in inventory.

If you’re serious about building products that actually sell, not just rank, watch the full breakdown on YouTube where I walk you through real data inside VoC AI and how to apply it to your own brand:

👉 Watch the video here

You can also try VoC AI free for 7 days (normally 1) and start analyzing your own listings or niche today: https://voc.ai/

15 Experts. 75 Minutes. 1 Brutal Amazon Hack Showdown

On November 19 at 1PM EST, I’ll be joining 15 of the sharpest Amazon minds for 10x5 Amazon Hack Series — a fast-paced, no-fluff webinar where every speaker gets 5 minutes to drop one powerful, actionable hack that can move the needle for your business right now.

You’ll hear from the best in the space — from ad experts and brand builders to data scientists and automation wizards — each revealing something they usually keep behind closed doors.

My session will cut through the hype and show you how to verify whether Amazon’s AI data is actually correct before you make your next big product decision.

If you’ve ever wanted to see what real Amazon strategy looks like — backed by data, not buzzwords — this is the hour to mark on your calendar.

Only 500 spots are open.
👉 Save your seat here

Speak to Passions, Not Just Pain Points

Most sellers stop at “Who is my customer?” when they should be asking “What world does my customer live in?”

Because people don’t just buy based on logic — they buy through emotion, familiarity, and identity.

Once you learn what your shopper loves, whether it’s hiking trails, spy thrillers, or anime, you can frame your listing through that lens and speak directly to the way they see the world.

Take a hiking backpack, for example. For someone who loves CIA-style movies, you’re not selling a simple piece of gear — you’re selling a mission-ready survival tool. Your copy might say:

Now imagine you’re selling multivitamins for kids, and your customer avatar is a mom whose child loves anime.

You’re not selling vitamins; you’re selling superpowers in disguise.

Pair that with packaging that feels straight out of a vibrant anime world — bold colors, expressive characters, and energy in motion — and you’ll not only capture attention but also emotion.

Because when you align your product with what your shoppers love, you’re not just selling to them — you’re selling for them.

Amazon in 2026 won’t be for the unprepared

Selling on Amazon since 2015, exiting three brands, starting over, seeding hundreds of new launches every year, and living in the heart of this industry led me to one conclusion:

The game is no longer simple.

Here are a few hard truths:

1. You can’t successfully launch on Amazon in 2026 without understanding the layers of logic behind it.
It’s not about “find product → list → PPC” anymore.

2. If you don’t know what happens after your first few purchases, you might be hurting your investment instead of protecting it.
Every click, cart, and conversion tells Amazon how to treat your product next.

3. Ranking now happens on multiple fronts: keywords, behavior, and context.
Your product has to match your shopper’s avatar and intent.

Example:

I’m looking for a book for a 2–3-year-old.
Amazon suggests a kids’ egg chair.
If your listing says:

• “A cozy egg chair where your toddler can sit while you read together.”

• “Perfect reading nook for 2–3-year-olds learning focus and comfort.”

• “A Montessori-inspired space that keeps your child calm and happy.”

You just won relevancy before the sale even happens.

That’s what product positioning in 2026 looks like.

When building your product today, you’re not just thinking about sales velocity during the honeymoon phase.

You’re building a brand ecosystem: external traffic, influencers, Meta ads, and conversion-driven carts.

There are so many steps to think through before your first sale even happens.

Maybe that’s why:

• There are fewer “gurus.”
• There are fewer new sellers.
• There are more thoughtless failed launches than ever before.

Tariffs didn’t help either.

So what’s next?

Established sellers will grow stronger.

Smaller sellers will give up before scaling.

Service providers will battle for the top clients, and smaller ones will fade out.

This industry is evolving fast.

AI is making it more efficient, selective, and intelligent than ever before.

The Amazon space is shifting from “everyone can sell” to “only the smart will survive.”

And maybe that’s how it should be.

What do you think—will Amazon become a marketplace for the few, or will new tools make it easier for everyone again?

Have a wonderful weekend,

Izabella