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    <description>Insights for Amazon sellers — analytics, profitability, advertising, inventory, content, and customer experience.</description>
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    <lastBuildDate>Wed, 14 Oct 2026 13:36:01 GMT</lastBuildDate>
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      <title>How to Calculate Amazon Net Margin (Step-by-Step with a Worked Example)</title>
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      <pubDate>Mon, 07 Sep 2026 16:30:00 GMT</pubDate>
      <description>Net margin is net operating profit divided by net revenue. Neither number exists in Seller Central, so you build the waterfall yourself: gross ordered revenue, minus cancellations, refunds and claims, plus shipping revenue, minus COGS, Amazon fees, advertising and overheads, with reimbursements added back. Four checkpoints on the way down tell you why the number moved. The worked example lands at 24.2%.</description>
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      <title>On the AI Claim</title>
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      <pubDate>Thu, 30 Jul 2026 07:00:00 GMT</pubDate>
      <description>Every tool in the Amazon SaaS ecosystem claims to use AI, but almost none train the models they say they trained. Under the word sit three very different layers — rule-based logic, real machine learning, and LLM APIs called at inference time — and most &apos;trained on Amazon data&apos; claims are prompt engineering plus retrieval. This is legitimate work; it just isn&apos;t what the marketing describes.</description>
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      <title>On the Time We Save</title>
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      <pubDate>Wed, 08 Jul 2026 07:00:00 GMT</pubDate>
      <description>Every productivity tool promises to save time, but Parkinson&apos;s Law and the Jevons Paradox suggest the hours never come back — they get absorbed by more work, more expectations, more scope. We were never really selling time. We were selling attention, confidence, and reduced cognitive load. The most useful software of the next decade will stop promising hours back and start protecting the attention we can actually keep.</description>
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      <title>On MCP</title>
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      <pubDate>Thu, 18 Jun 2026 07:00:00 GMT</pubDate>
      <description>MCP is a real, useful protocol — but the dashboard-is-dead, AI-replaces-everything narrative depends on something most products don&apos;t have: a coherent data foundation. Without it, MCP just makes hallucinations faster. The companies that win the AI-native future are the ones doing the unglamorous work of rebuilding their data foundation now, while everyone else demos chatbots.</description>
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      <title>Why Clarisix and why now</title>
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      <pubDate>Tue, 16 Jun 2026 12:00:00 GMT</pubDate>
      <description>After six years managing tech for Amazon brands, we built Clarisix because the analytics industry is broken: fragmented tools, unreliable data, and executives reduced to a Monday morning ritual of CSV-stitching. Clarisix unifies Profitability, Sales, Advertising, Inventory, Content, and Customer Experience into one five-minute weekly scan — built for executives, without leaving their analysts behind.</description>
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      <title>Welcome to the Clarisix blog</title>
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      <pubDate>Tue, 16 Jun 2026 00:00:00 GMT</pubDate>
      <description>We&apos;re starting the Clarisix blog to share what we&apos;re learning while building the analytics platform Amazon sellers actually want. Expect playbooks, opinionated takes on the six pillars, and the occasional product update.</description>
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