Identify shared viewers between creators to maximize unique reach and avoid audience duplication in multi-creator campaigns.
StreamOptima samples active chatters across Twitch and Kick streams. When the same chatters appear in multiple creators' audiences, we calculate the overlap percentage. This reveals how much of two creators' audiences are the same people — at the individual viewer level, not the aggregate.
Chat sampling captures viewers who are actively engaged — not just passively watching. This makes the overlap signal more meaningful than follower-based estimates, because it identifies the subset of the audience that is genuinely present and participating in both channels.
The result is an overlap percentage expressed as a share of each creator's active chatters. A 20% overlap between Creator A and Creator B means 20% of Creator A's engaged audience also watches Creator B. For multi-creator campaigns, this is the metric that determines whether you are expanding your reach or concentrating it.
StreamOptima calculates audience overlap for any two creators in our database — across platforms, categories, and countries. Cross-platform overlap between a Twitch creator and a Kick creator is supported, making this the only tool available for brands planning campaigns across both live streaming platforms.
If two creators share 40% audience overlap, sponsoring both wastes 40% of your budget on duplicate reach. The same viewers see the same brand message twice — which inflates impression counts without expanding the number of unique people you are actually reaching.
Low overlap equals high unique reach equals better ROI. When you sponsor two creators whose audiences share minimal overlap, every impression is a new person. For performance-driven campaigns where cost per unique viewer matters, audience overlap analysis is the tool that separates efficient media plans from expensive ones.
Example
Creator A and Creator B each have 5,000 viewers. With 10% overlap, your combined unique reach is 9,000. With 60% overlap, it's only 4,000 — despite paying for two sponsorships. Audience overlap analysis makes this visible before you commit budget.
Search creators on StreamOptima, compare side-by-side, and identify the combinations that maximize unique reach for your campaign. No credit card required.
Try Audience Overlap Analysis →Audience overlap analysis compares the active chatters between two creators to determine how much of their audiences are shared. When a brand is planning a multi-creator campaign, knowing the overlap between shortlisted creators is essential for understanding how many unique people will actually see the campaign — as opposed to the same viewers being reached multiple times.
This helps brands avoid paying for the same viewers twice when booking multiple creators for a campaign. StreamOptima uses live chat data sampled across multiple streams over 7 days to calculate overlap percentages. Unlike follower-based overlap tools, our chatter-based approach measures who actually watches and engages, not who clicked follow years ago.
Because audience overlap is measured at the individual chatter level — not estimated from aggregate demographics — the results are grounded in real viewing behaviour. Two creators can have similar follower counts and similar content categories and still have very low overlap, meaning their audiences are largely distinct. This is the kind of signal that follower-count comparisons simply cannot provide.
We collect chat participant data during live streams across Twitch and Kick. Each creator's active chatters are aggregated over a 7-day window from multiple sample sessions, ensuring the data reflects consistent viewing patterns rather than a single stream spike or off-schedule broadcast.
When you compare two creators, we calculate what percentage of Creator A's chatters also appear in Creator B's chat, and vice versa. The result is asymmetric — a smaller creator may share 40% of their audience with a larger creator, while the larger creator only shares 5% with the smaller one. This asymmetry is expected and provides valuable insight into audience dynamics.
Because the calculation runs in both directions, brands can identify when a niche creator's audience is heavily concentrated inside a larger creator's fanbase — a signal that booking both may deliver less incremental reach than expected. The directional overlap scores make this visible before any budget is committed.
When planning an influencer campaign with multiple creators, understanding audience overlap prevents wasted spend. If two creators share 60% of their audience, booking both means paying double for the same viewers. StreamOptima's overlap analysis helps brands select the optimal combination of creators to maximize unique reach across Twitch and Kick.
For performance-driven campaigns where cost per unique viewer is the primary KPI, audience overlap analysis is the difference between an efficient media plan and an expensive one. Use overlap data alongside ACV, brand safety scores, and sponsorship value estimates to build a creator roster that delivers genuine incremental reach.
We analyze active chatters from live stream samples collected over 7 days. If a username appears in both creators’ chat rooms, they count as an overlapping viewer.
Overlap is asymmetric. A smaller creator may share a higher percentage of their audience with a larger creator because their total audience is smaller.
Yes. StreamOptima tracks chat participants on both Twitch and Kick with the same methodology.
