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Amazon Campaign Builder

A tool to generate and launch Amazon Ads campaigns from templates or rules, cutting setup time and reducing copy-paste errors when you spin up many similar structures.

Amazon Ads Python API

At a glance

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Role

I designed a template-first approach for quickly launching new campaigns, ensuring they follow a naming structure to allow for easy organization. The focus is reducing setup time and eliminating repetitive copy-paste errors.

Stack: Python · structured configs/templates

Scope of work

The Campaign Builder separates “what we want to launch” (templates, SKUs, targets, budgets) from “clicking through the console fifty times” by driving creation through structured inputs.

  • Reusable templates: define campaign/ad group patterns once and reuse them across products or markets.
  • Input validation: ensure required fields are present before anything is uploaded/launched.
  • Consistency: enforce naming, match-type structure, and guardrails for scale.

How it works

Templates capture the structure once (naming, match types, default bids, placement splits). Inputs are just the things that change per launch: SKUs, ASINs, budgets, and market. The tool merges the two so you are not rebuilding the same tree in the console for every product line.

  • Define templates: campaign types, ad group patterns, default targets, and naming rules.
  • Provide inputs: SKU/ASIN lists, budgets, markets, and optional overrides per row.
  • Generate output: bulk-upload spreadsheets or structured payloads for an API client.
  • Validate: catch missing fields, invalid combinations, and duplicate entity keys before anything goes live.
  • Launch: apply via bulk upload or API, then verify a sample set in Ads Manager.

Workflow

From template + inputs to validated output and launch.

Diagram: templates and naming, inputs, generate, validate, launch
Builder flow: templates + inputs → generate → validate → launch → spot-check.

Results

  • Less setup time: spin up consistent structures without manual console repetition.
  • Lower error rate: validation reduces accidental misconfigurations and missing fields.
  • Scalable structure: templates make it easier to expand campaigns across products/markets.