Fake follower detection

Each influencer's audience is scored for signs of purchased or bot followers, based on patterns like sudden follower spikes and unusual engagement ratios. A Beam agent checks this score before an influencer is approved for a campaign or added to a shortlist, applying whatever quality threshold the account has set. Profiles that clearly pass or clearly fail the threshold move through automatically, keeping obviously low quality accounts out of a campaign without a person checking each one by hand. Profiles that sit near the threshold, or show mixed signals, are routed to a person for a final judgment call.

Influencer discovery search

The platform lets an account search across a large database of creator profiles by criteria such as topic, audience location, or follower count, rather than searching manually across each social platform. A Beam agent runs this search when a campaign brief specifies the audience it wants to reach, pulling back a shortlist that matches the approved criteria. This narrows a large pool of potential influencers down to a manageable list before any outreach happens. Profiles that partially match the brief, or where the data is incomplete, are routed to a person to confirm fit.

Campaign performance reporting

Once a campaign is live, engagement and reach figures for each influencer's posts are compiled into a report the account can review. A Beam agent reads these figures against the goals set for the campaign, flagging posts that clearly underperform or clearly exceed expectations based on the approved benchmark. This keeps a running view of how a campaign is doing without a person pulling numbers from each platform separately. Results that fall outside what the data can reliably explain, such as a sudden drop, are routed to a person to investigate.