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Mavrtr Documentation

Help & Docs

Everything you need to get from zero to a running research pipeline. Browse by topic or use the sidebar to find specific articles.

Quick Start

Run your first report in under 3 minutes.

How the engine works

What Mavrtr actually does behind the scenes.

Customer avatars

How to read and use the customer intelligence output.

Ad angles & scoring

What the 1-10 confidence score means and how to act on it.

Integrations

Connect Slack, Notion, Zapier, or your own backend.

Team & roles

Invite teammates and manage permissions.

What is Mavrtr?

Mavrtr is an AI-powered customer intelligence platform for DTC brands, agencies, and media buyers. You paste a Shopify store URL, choose a product (or the whole brand), and the Mavrtr engine automatically:

  1. Scrapes the store's product catalogue via the Shopify public API.
  2. Runs deep web research — reviews, Reddit threads, forum posts, competitor reviews — to find what real buyers say.
  3. Synthesises 2-3 distinct customer avatars with ranked pain points, desires, objections, and verbatim quotes.
  4. Generates a campaign strategy — positioning, 5 scored ad angles, hooks, primary text, CTAs, and a full CBO structure.
  5. Delivers a branded, downloadable PDF report you can hand directly to a media buyer.

The whole process runs in the background while you do other things. You get a notification when it's ready.

Who is it for?

  • DTC brand owners who need to understand their own customers more deeply.
  • Media buyers who want research-backed angles without spending days on Reddit.
  • Agencies that need to onboard a new client's brand quickly.
  • Copywriters looking for real customer language, real objections, real quotes.

What Mavrtr is not

Mavrtr is not a generic AI writing tool. It doesn't generate content from nothing. Every output — every avatar, every angle, every objection rebuttal — is grounded in live research from real review platforms, social channels, and forums pulled at the time you run the report. If a quote appears, it came from a real source found during that run.