This paper investigates influencer marketing through a segmentation of influencers by audience size and their method of engagement, as well as their distinct roles in a digital marketing campaign. This means that Mega influencers are useful for branding, however, they have low impact without sufficient engagement. Additionally, macro influencers can cut across a wide range of campaigns from general to specific due to their broad coverage and niche authority. Micro influencers have proven to be effective in reputation building in niche communities because of their perceived credibility. Also, Nano influencers excel among local audiences, which makes them ideal for hyper-targeted campaigns, because of their high engagement. Further analysis of the data also focused on social media platforms such as Instagram, YouTube, TikTok, Twitter, and Twitch, focusing on platform engagement rates and performance data. The discussion covered tools like Upfluence, AspireIQ, and Traackr where influencers are rated based on engagement and conversion rates. The models with audience engagement and conversion rates together with AI-based topic modeling provide insights into trends and decision-making strategies visualized in the intelligence system. In conclusion, this study shows that for marketing purposes, companies need to define the type of influencers that relate to their target audiences in order to achieve better return on investments.