Function
Channel Analysis is the decision layer before media buying: it converts a raw list of channels into a validated shortlist using recency, engagement, and audience-health indicators. Teams use it to remove weak placements before budget is committed and keep campaign planning defendable in client or internal reviews.
180 -> 42
typical narrowing from raw pool to shortlist
1 run
single bulk pass instead of manual checks
CSV
export-ready table for planning and approvals
Pre-buy
quality control before budget activation
Use this when you already have candidate channels and need to decide what to buy. It is especially useful for media buyers, agency operators, and growth teams running multi-channel campaigns where manual checks are too slow.
Add channel usernames or links, choose analysis mode, and run a bulk task. The results table returns comparable metrics so you can sort by quality signals instead of relying on subjective review.
Most teams run a first pass to eliminate obvious outliers, then a second pass focused on niche fit and engagement consistency. Final channels are moved into the buying shortlist with comments for why each channel was kept.
A clinic network starts with 180 channels from mixed cities. After removing channels with weak recency and unstable engagement, the team keeps 42 channels and launches only in clusters that show consistent audience response.
An agency prepares a shortlist for a new client and runs Channel Analysis one day before approval. Instead of presenting a subjective list, they share a scored shortlist with clear exclusion reasons for every rejected channel.
Do not decide by subscriber count alone. Combine size with recency and engagement stability, because large but inactive channels often distort expected campaign performance.
You get a campaign-ready shortlist with explicit quality logic, exportable documentation, and a clear transition into placement buying or similar-channel expansion.