We ran a targeted campaign for a client whose niche is “Men’s Psychology”. The objective was simple: test traffic from Telegram through our neurocommenting system.
Niche: men’s psychology, self-improvement & mindset
We selected a curated list of relevant Telegram channels where comments are active, then deployed AI-generated comments aligned with the client’s tone and offer. We also monitored campaign for one full week, providing 24 hour support and continuously optimized comment placement, timing, and phrasing. The results would be considered decent: 203 new participants in the first phase, overall subscriber growth: +756 people.
Sometimes even a short-term burst (one week) can produce measurable gains when comment placement, tone and relevance are aligned. Contextual comments under posts in the niche drove profile clicks and new subscriptions rather than generic ads.
In the end our client was satisfied and ready to scale the traffic. We recommended increasing channel volume, rotating accounts, and testing comment styles to further optimize conversion.
This was just a short one-week trial, but the engagement patterns were fascinating. Makes me wonder what the long-term scaling curve might look like for comment-based traffic systems.