Imagine your team ranks creators for next quarter's influencer budget by follower count. A credible creator is one followers see as authentic, knowledgeable and appealing. Which creator qualities should lead selection for your campaign's goal?
The strongest influencer factor differs for attitude, engagement, intention to buy and purchases.
Data chart
How closely each factor moves with attitude, engagement, intention to buy, or purchases, averaged across studies and corrected for measurement error, on a scale from -1 (opposite directions) through 0 (no relationship) to 1 (move together).
Community identity leads for attitude and engagement, enjoyable content for intention to buy, and direct communication for purchases.
Table 4, pp. 66 to 67. Values are average relationships, not causal gains. Follower-count estimates use 14, 18, 7, and 3 results, respectively; leading-factor estimates use 34, 27, 9, and 13. The .07 and -.28 follower-count values are not reliably different from zero; the negative estimate does not establish harm.
Data chart
How closely labeling a post as sponsored moves with consumers' attitude in each product group, averaged across studies and corrected for measurement error, on a scale from -1 through 0 (no relationship) to 1.
Disclosure has a more positive attitude link for products that express identity than for products serving practical needs.
Table 6, p. 70. The .12 estimate pools 12 results and the -.08 estimate pools 21. The difference between groups is reliable; these are associations, not a before-and-after experiment. Legal requirements and possible trust benefits are outside this comparison.
Key takeaway
Match creators and content to the campaign's goal, platform and product.
Social media studies in 27 countries give the most evidence on attitude, engagement and intention, less on purchases and least on sales. Sales may also depend on price, product quality, inflation and unemployment.
Source
Pan, M., Blut, M., Ghiassaleh, A., & Lee, Z. W. Y. (2025). Influencer marketing effectiveness: A meta-analytic review. Journal of the Academy of Marketing Science, 53(1), 52–78. https://doi.org/10.1007/s11747-024-01052-7