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Marketplace operations Mexico Method

Method

Four petals,
four pillars

The mark was drawn before the methodology was written down, and the two turned out to be the same diagram: a core where the work meets, and four things that have to be true around it. Nothing here is a framework invented to fill a slide. Each pillar is a set of artifacts that either exist for your account or do not.

The four pillars

I

Clarity

Where the brand actually stands in the channel, and where the money left on the table is.

The gap against your marketplace market cap, quantified per line and per SKU. Not a traffic-light dashboard — a number, with the arithmetic attached.

  • Channel market cap model
  • Gap by SKU and by line
  • Unit economics after fees, returns and logistics

II

Strategy

The few plays that move the needle, and the many that do not.

Pricing, catalog mix, ads allocation, promotional calendar. Four levers, sequenced by what the P&L says rather than by what is easiest to launch.

  • Pricing corridor vs. competition
  • Catalog mix decisions
  • Ads allocation by margin, not by ACOS
  • Promotional calendar

III

Operational Excellence

Executing at the level the channel actually demands.

Retail readiness, Buy Box, Mercado Líder reputation, inventory health, listing quality. The unglamorous surface where most of the gap is hiding.

  • Retail readiness scoring
  • Buy Box ownership
  • Mercado Líder reputation
  • Inventory health
  • Listing quality

IV

Scale

Growing without the operation breaking, and without cost rising at the same rate as the account.

The test of a system is whether the next 30% of revenue needs the next 30% of headcount. Ours is built so it does not.

  • Automated reporting
  • Exception-based alerting
  • Reconciliation pipelines
  • Runbooks the team actually uses

The transversal lever

AI and automation

Diagnoses faster, executes consistently, and lets the account scale on a light structure. A competitor operating by hand cannot match it.

It is not a fifth pillar. It runs through all four: the diagnostic that used to take three weeks of manual pulls runs on pipelines, the reporting that used to eat a Monday generates itself, and the exceptions that used to be found in a spreadsheet come to us as alerts. That is why the same senior attention can cover an account that would otherwise need a pod.

  1. Platform APIs

    • Amazon SP-API
    • Amazon Advertising API
    • Mercado Libre API

    Pulled from the source, not from a reseller dashboard.

  2. Data

    • Python
    • SQL
    • dbt
    • DuckDB

    Where unit economics per SKU actually gets computed.

  3. Orchestration

    • n8n

    The pipelines that run without anyone opening a laptop.

  4. AI

    • Claude Code
    • Claude API

    Analysis, classification and build speed — applied to the data above, never to a guess.

  5. Reporting

    • Metabase
    • Looker Studio
    • Google Sheets API

    The number lands where your team already works.

The order is the argument. Everything downstream is only as good as where the data came from, and pulling it from the platforms themselves is the part an accelerator reselling third-party tooling cannot claim.

Channel Diagnostic

See which pillar is costing you the most

The diagnostic scores all four against your own data and tells you which one to fix first.

Get the Channel Diagnostic