Most YouTuber contact databases fail brands because they contain only surface-level channel statistics and contact information — with no indication of whether the creator actually responds to sponsorship inquiries. Logtong's database includes relationship history built through years of actual collaborations, making it a living record of creator responsiveness, communication quality, and business conduct rather than a static directory.
Beyond basic metrics (channel topic, subscribers, average views), Logtong's database captures data unavailable anywhere else: actual historical ad pricing rather than AI-estimated ranges; advertising friendliness scores based on past campaign cooperation; rising creator index predicting growth trajectory; recent upload frequency and ad video ratio showing channel health; five most recent video viewership for trend detection; and subscriber growth velocity for identifying breakout channels before their pricing reflects their potential.
Logtong's cost-effective creator selection criteria combine five measurable factors: viewership rate exceeding 20% of subscriber count (indicating active engaged audience); low viewership variance across recent videos (consistent rather than spikey performance); high fan engagement through comments, saves, and shares; demonstrated cooperative and understanding attitude toward advertiser requirements; and rising creator status for compounding long-term value. Creators meeting all five criteria at rational pricing represent the highest-ROI casting opportunities available in the YouTube advertising market.