PARNIKA
The DG3 Terminal interface, showing live fixtures, top picks and streams

Writing for pro traders, not fans: Brand strategy & Content engine for DG3

Timeline
May 2026
Services
Brand Positioning
Content Strategy
Social
SEO & AEO
AI Content Systems
Website
dg3.trade

Overview

DG3 Terminal is a trading terminal for sports prediction markets. I joined as Content Lead and owned positioning, social, search, and the systems that ran everything.

The audience is pro traders, not sports fans. That one fact set the rest: the writing had to read like a desk note, not a matchday post.

Brand Positioning

Prediction markets usually get covered as gambling or as a curiosity. DG3 is a terminal built specifically for high volume traders, so I positioned it specifically as a high intelligence trading tool instead of another sportsbook.

The voice follows from the positioning. Numbers before adjectives. No hype, no hedging, no explaining the joke. The audience doesn't have the time for that.

Brand identity guide: what DG3 is, the three pillars, and personality
Brand voice guide: six writing rules, before and after copy, vocabulary

Content Strategy

I built a taxonomy of 10+ repeatable content formats to serve my ICP so the team could ship daily without reinventing the post each time: Match Signal, Sharp Signal, Trader Case Study, Product Use Case & UI, Strategy Article, Match Streams, Trader Meme, Podcast Clips, Promotions - Rebates & Referrals.

Search ran alongside social. Articles on WordPress, JSON-LD FAQ markup, and a keyword set built around how traders search rather than how fans do. That stack pulls around 225 organic clicks a month.

Match signal post breaking down the +EV edge in a 1-1 contract
DG3 Talks livestream post with four panellists
Match graphic post for Mexico versus South Africa
Trader case study post on a +$26,752 qualifier run
FAQ section built for search and answer engines
Insights Beyond The Market article hub

AI Systems

I built 9+ Claude Code skills and automations. A Master Prompt holds the brand voice and every skill inherits it, so a Match Signal and a Trader Case Study sound like the same brand wrote them.

A signal caption skill that fetched and verified live Polymarket CLOB data via their Gamma API, and flagged any player availability or injury via sports news portals. A halftime update automation that sent me any key market movement since the match start. A seo article writing skill that only needed the match name to write a 800+ word keyword rich article with market verified data, and no ai slop. And an AI presenter built with Higgsfield, Claude, ElevenLabs and HeyGen, which fronts videos without a shoot, a studio or a scheduling call.

The dg3-match-caption Claude Code skill configuration
The dg3-feature-promo Claude Code skill configuration
The dg3-halftime Claude Code skill configuration
Still from a video fronted by the AI presenter

Content Creation

Daily social across formats, long-form articles, and website copy.

Launch story post: one terminal, infinite edge
Alpha Cohort launch post, 100 spots on one terminal
Strategy article post: why rule-followers beat gut traders
Tennis match article post on Zverev priced at 80.5 percent to win his first Slam
Product post on choosing how odds are displayed
Product walkthrough post on moving faster between markets
Website section: save 30 minutes of meta-work on every single trade

Results

  • 300+content-attributed signups
  • 0.63% → 1.21%engagement rate
  • 1M+video views
  • ~225monthly organic search clicks
  • ~$3Mplatform volume crossed
← Back to work