Build campaign-specific criteria
A creator is not universally good or bad. Define the campaign objective, audience, market, platform, content job, product category, budget, and rights requirement first. Then weight criteria according to that job.
For conversion, audience relevance and persuasive product demonstration may matter more than broad reach. For brand credibility, subject expertise and comment quality may carry more weight.
Score the full creator fit
Use a consistent scale with written anchors so different reviewers interpret scores similarly. Preserve source links and confidence notes beside every score.
- Audience: geography, demographics, interests, and problem relevance
- Credibility: expertise, trust signals, and comment quality
- Content: format skill, storytelling, production, and brand compatibility
- Performance: reach consistency, retention, engagement quality, and prior outcomes
- Safety: content history, claims discipline, disclosure, and fraud signals
- Operations: communication, deadlines, revisions, and reporting
- Economics: fee, commission, usage, amplification, and expected value
Detect weak evidence and false precision
Public follower and engagement figures do not prove audience quality or sales impact. Request platform analytics where appropriate, inspect comment patterns, compare recent posts, and review performance distribution rather than one viral example.
Do not hide uncertainty behind a weighted total. Include confidence and hard exclusion criteria. A high composite score should never override an unresolved safety or rights issue.
Use the scorecard as a learning system
Record forecast assumptions before the campaign, then add actual content, delivery, performance, conversion, and collaboration outcomes. Compare expected and observed results by creator archetype and format.
Update weights only after enough evidence. The goal is not a permanent creator leaderboard; it is better selection for the next campaign.