In recent years, the concept of influencer marketing has emerged as a prominent area of focus within the field of marketing research [29, 66, 92]. Influencers are a relatively small number of individuals who exert significant influence over others. In influencer marketing, the process of identifying these influencers and employing them as seeds to spread word-of-mouth (or nonverbal influence) broadly to other potential customers is referred to as seeding. This chapter provides an overview of prior research on seeding, followed by a simulation analysis of seeding effects in a hypothetical network using the agent-based diffusion model constructed in Chap. 3 . Additionally, it discusses desirable seeding strategies through simulations using social media data observed in the real world.