Learn how to turn FTL into high-LTV fans through a structured approach: logic, systems, scripts, and SOPs. A must-watch masterclass for agency owners who want to scale smart.
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Overview
In this live masterclass hosted by Arthur, Andrija, who runs a chatting agency with mostly Serbian chatters, explains how his team turns free trial (FTL) subscribers into high-LTV fans. He starts from the logic: an FTL sub has no card connected and arrives in browsing mode, so he needs far more effort than a paid or dating-app sub before a first PPV, and every system has to be built for its own traffic source and funnel.
The core of the session is filtering. Andrija shows how his chatters collect name, age, location and job indirectly before any sale, why reply count is a vanity metric, and why 40 or more messages without a sale means the filter or the warm-up is broken. He then walks through his FTL machine: welcome system with a follow-up message, heat tests, warm-up, personalized PPV captions, aftercare and re-engagement, locked chatter teams with a team leader, and per-chatter metrics.
The second half is an open Q&A: OnlyFans bios, ElevenLabs voice notes, feed PPVs, underpricing, commission-based chatter pay, 24/7 coverage from day one, chatting a trans model, and whether to learn chatting yourself or hire a chatting team.
Inside the masterclass
A 52-minute live presentation followed by Q&A. Andrija compares FTL and paid subscribers, explains indirect qualification (name, age, location, job), filtering and the target message count before a first PPV, then details his FTL machine: welcome system and follow-up message, heat tests, warm-up, personalized PPV captions, aftercare, locked teams and chatter metrics. The Q&A covers bios, voice notes, pricing, chatter pay, shift coverage and trans models.
Watch the lessonOutcomes
Audience
Taught by
Owner of a chatting agency
Andrija runs a chatting agency, which also offers full management, working with mostly Serbian chatters across all traffic sources and funnels. He says the agency has been active for about a year and a half and is doing seven figures, while he has been chatting himself for around three years. His approach rests on data tracking, filtering and small locked chatter teams.
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