Why Clarisix and why now

For six years, I have managed tech for Amazon brands. Real ones. The kind that do millions in revenue across six marketplaces and still cannot answer a simple question on a Monday morning: how did we actually perform last week?

This is not a tooling problem. It is a tooling industry problem.

The fragmented stack

The average Amazon brand today runs four to five separate analytics tools. One for profitability. One for advertising. One for inventory. One for keyword tracking. One for content monitoring, if they care enough to track it at all. Some have a sixth tool just to consolidate the other five.

Each tool is excellent at one thing and useless at the others. Each defines an "order" slightly differently. Each updates on its own schedule. Each charges roughly the same amount whether you use 20 percent of it or 80 percent.

The result is a Monday morning ritual that should be illegal: the brand manager logs into four dashboards, exports CSVs from two of them, pastes everything into a spreadsheet, reconciles the numbers that do not match, and produces a report that the executive will glance at for 45 seconds before asking a question the spreadsheet does not answer.

I have watched this exact scene play out across more than 100 brands. In Paris, in Munich, in New York. Same scene, same frustration, same shrugging acceptance.

This is not how analytics is supposed to work in 2026.

The thing nobody admits

Most Amazon brands do not actually use the analytics they pay for. Not really.

They look at the dashboards. They subscribe to the alerts. They occasionally export a report when a board meeting demands it. But the day-to-day decisions are made on instinct, on partial data, on whatever number happens to be in front of you when the question comes up.

This is not because the brand managers are bad at their jobs. They are usually excellent at their jobs. They have learned to operate without trustworthy data because trustworthy data, in a unified form, does not exist for them.

The result: brands lose 1 percent here, 2 percent there, never quite sure where the leak is. By the end of the year, the math suggests they should have grown 30 percent. They grew 18 percent. Nobody knows exactly why.

Why we tried to fix this ourselves first

At e-Comas, the agency I was (and still am partially) the CTO of, we manage Amazon brands as a service. Our clients pay us thousands of euros per month to handle their Amazon operations end to end. That means we live in the same data swamp our clients live in, except we live in it across dozens of accounts at once.

For years, we tried to solve this with custom dashboards. We built PowerBI reports because the off-the-shelf tools did not match how we actually thought about a brand. We tried or had demos of everything that existed.

Every tool was either too cluttered, showing us everything we did not need, or too narrow, covering one dimension well and ignoring the rest. PowerBI worked for a while because we could shape it ourselves. But PowerBI is not a product. It is a hobby that consumes engineering time forever.

One year ago, we made a decision. We were going to stop reshaping tools that did not fit and build the one we actually wanted to use. Internally first. Then for our agency clients. Then, when it was solid enough, for everyone.

That product is Clarisix.

The six pillars

Clarisix unifies the six dimensions of Amazon performance that brand executives actually care about.

Sales. How is the business performing across marketplaces, periods, and ASINs?

Advertising. Where is ad spend efficient and where is it bleeding?

Profitability. What is actually profitable after all fees, ads, refunds, and returns?

Inventory. Are stockouts coming, and is excess inventory tying up cash?

Content. Have listings been edited, and are titles, images, and A+ content compliant?

Customer Experience. What are reviews, returns, and feedback signaling about the brand?

Each pillar has its own deep dive. Each has its own dashboard. But the top-level view, the one we call Total Clarity, gives you a single answer to a single question: is this brand winning or losing this week?

That answer is the only thing an executive actually needs. Everything else is research that supports it.

Built for the five-minute scan

Most analytics tools are designed for analysts who will spend 60 minutes a day inside the platform. That is the wrong design target.

The people who actually decide where money flows in an Amazon business are executives, founders, brand owners, and agency leaders. They have 12 calls a day. They have a board to manage. They have a personal life they would occasionally like to see.

These people do not have 60 minutes a day. They have five minutes a week, and most of that five minutes between meetings, or, if we are being honest, from a beach chair in August.

Clarisix is built for that five-minute scan. The ClarisixScore tells you in one number whether your brand is up or down. The pillar overviews tell you which dimension is driving it. The DeepDive lets you go deeper if and only if you want to.

Open the platform. See the answer. Make a decision. Close the platform. That is the loop. That is the entire product.

Why now

Three things have changed in the last 18 months that make this the right moment.

First, Amazon has become genuinely complex enough that no single-purpose tool can keep up. Pan-EU FBA. Multi-account structures. Vendor-seller hybrids. Retail media networks. Amazon Marketing Cloud. Subscribe and Save. FBA reimbursements that have to be hunted down manually. The surface area of "selling on Amazon" in 2026 is twice what it was in 2022. The tools that were good enough in 2022 are not good enough now.

Second, AI changed the table. Everyone has heard about MCPs. Everyone has played with chatbots pulling data from somewhere. The promise is real, but the execution is mostly noise. AI without a structured, unified data foundation is not analytics. It is hallucination at scale. The brands that will benefit from AI in the next five years are the ones whose data is already organized into something coherent. The brands stuck with fragmented tools will keep paying for "AI features" that produce confident-sounding nonsense.

Third, attention is scarce in a way it has never been before. Executives in 2026 simply cannot process the volume of information being thrown at them. Tools that demand attention are losing. Tools that protect attention are winning. The shift is generational. It will define which SaaS products survive the next decade.

Clarisix is built on all three of these shifts. Unified data foundation. AI-ready architecture. Attention-protecting interface. We did not pivot to these. We started here.

What we believe that others do not

A few specific bets that show up in every Clarisix decision.

• Executives do not need more data. They need clearer data, faster.
• A unified simple view is more useful than a thousand metrics.
• The job of analytics is to surface the question, not to bury you in answers.
• Content compliance is as important as ad spend efficiency. Nobody else treats it that way. Everyone should.
• Profitability is the only number that ultimately matters, and almost nobody is calculating it correctly.
• Speed beats depth. A platform that gives you the right answer in 30 seconds is more valuable than a platform that gives you 50 right answers in 50 minutes.
• The five-minute weekly scan, not the daily dashboard, is the correct unit of analytics for an executive.

What we are not

Clarisix is not a tool for analysts. If your job is to spend hours a day in spreadsheets, Clarisix is going to feel too high-level. That is by design. There are excellent tools for that work and we are not trying to replace them.

Clarisix is not a multi-channel platform. We do Amazon. Deeply. If your business is mostly Shopify, mostly Walmart, mostly TikTok Shop, we are not the right fit yet. Will be later, but not now.

Clarisix is not cheap. Sellerboard exists for brands that want a low-cost profitability tracker. We respect that product. We are building for a different buyer: the executive who needs clarity across the whole business, not depth in one corner of it.

The founding 100

We launch publicly on 3 August 2026. Between now and then, we are accepting 100 founding members.

Founding members get 30 percent off for life. Not for the first year. Permanently. On any tier they choose.

They get monthly product council calls with the founders. They get priority feature requests. They get recognition on our website if they want it.

When the 100th founding member is signed, the offer closes. Forever. No exceptions, no retroactive deals, no "we made one for our friend who was busy."

We are doing this because we want the first 100 customers to be people who genuinely care about the problem we are solving, who will give us hard feedback, who will become advocates if we earn it. Not people who showed up because we discounted hard at the end of a quarter.

If you have read this far, you are probably one of those people.

Why this matters

I do not know exactly how the next ten years of Amazon analytics will play out. Nobody does. But I know two things with certainty.

The brands that win will be the ones whose executives can see the truth quickly and act on it. The brands that lose will be the ones still stitching together exports on Monday mornings.

And I know that the tools that win will be the ones built by operators who have actually lived the problem, not by engineers who interviewed people who lived the problem.

Clarisix is built by operators. We lived this for years. We are still living it every day across the e-Comas client base. We are not going to stop until the Monday morning ritual is dead.

Welcome.

— Claudiu Clement Co-Founder & CEO, Clarisix

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