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Sales & marketing

Generate media kit PDFs from your data

A media kit sells audience — reach, demographics, placements and rates — laid out so a buyer can price a campaign without having to email back.

3 designs, each a separate take on the same document rather than a recolour of one layout: Band header, Card-grid dashboard and Minimal, type-led. Every preview below is the actual compiled output, not a mock-up.

Open one in the editor and render it from your own JSON over the API — 1 page of A4 portrait, the same engine either way.

Designs
3
Page size
A4 portrait
Length
1 page
Document family
Catalog / listing

Media kit designs

How the media kit designs differ

Same document, same data model, 3 different arguments about how it should look on paper. Pick on layout and typography — the content behaves identically.

Design Layout Palette Typefaces Pages
Beacon Band Band header Indigo & coral Inter only 1 · A4 portrait
Creator Coral Card-grid dashboard Aubergine & peach Montserrat + Inter 1 · A4 portrait
Leader Lines Minimal, type-led Ink & cream JetBrains Mono + Inter 1 · A4 portrait

What your data drives in a media kit

Each design is authored against an explicit reflow contract, so it is defined up front which blocks are emitted once per record and which fields absorb longer content. That is what stops the layout falling apart at a hundred rows.

Design Repeats per record Grows with your data
Beacon Band fact-strip cells; milestone stops; product cards; leadership entries; coverage rows; colour swatches boilerplate paragraphs; product one-liners; leadership descriptions; coverage headlines; usage rules
Creator Coral audience bars; content pillar rows; partnership rate rows; past-partner chips; recent-campaign rows; booking terms bio; featured campaign copy; campaign result strings
Leader Lines audience lines; platform and country lines; role and buying lines; rate lines; term lines; schedule lines show description; rate footnote; schedule episode titles

Start from one of these media kit designs

Open a design in the editor and the agent reshapes it around your schema — then render it from your own data over the API, or let your users edit it in the embedded editor.