How can I optimize the size of influencer audiences?
Quick answer
Size optimization is matching the audience band to the job the campaign is doing, because size buys different things at different scales. Large audiences buy reach efficiency: one big creator delivers awareness impressions at a low unit cost with a single coordination overhead and that is the right purchase when the goal is being seen widely. Smaller audiences buy density: tighter interest match, more conversational engagement and audiences that act on recommendations, which is the right purchase when the goal is trust or conversion. The one-versus-several debate resolves the same way: one big for a visibility moment, a portfolio of smaller for performance and a mixed ladder, one anchor plus several dense mid-sizers, when the campaign needs both jobs done. Two checks keep the choice honest: engagement quality degrades with size on average, so verify it per creator rather than assuming the tier and coordination cost scales with creator count, so the several-small route must budget the management hours it creates. Size is a tool with a price at every setting. Optimizing is just pricing the setting against the goal. Filter candidate bands with creator search, verify the engagement quality behind each size with analytics and record what each mix cost to run in the database so the next optimization starts from your own economics.
We keep debating whether to book one huge creator or several smaller ones with the same budget. How can I optimize the size of influencer audiences instead of guessing every campaign?