Unify audience estimates across platforms and campaigns instantly. Model duplication, impressions, and effective exposure clearly. Turn fragmented reach data into practical marketing decisions today.
Enter audience totals, overlap estimates, frequency, and optional market cap values to estimate deduplicated marketing reach across three channels.
| Scenario | Channel A | Channel B | Channel C | A-B % | A-C % | B-C % | Triple % | Estimated Unique Reach |
|---|---|---|---|---|---|---|---|---|
| Brand Awareness Push | 120,000 | 90,000 | 75,000 | 28 | 18 | 15 | 35 | 223,545 |
| Holiday Media Mix | 180,000 | 110,000 | 95,000 | 32 | 24 | 20 | 40 | 312,800 |
| Retargeting Burst | 65,000 | 52,000 | 40,000 | 38 | 29 | 22 | 45 | 112,188 |
A, B, C are individual channel audiences. AB, AC, BC are pairwise overlaps. ABC is the estimated triple overlap counted back once after subtracting pair overlaps.
This model is practical for campaign planning, cross-channel audience estimation, and budget allocation. It is especially useful when exact user-level identity resolution is unavailable.
Unique reach estimates how many different people saw a campaign at least once. It removes duplicate exposure across channels so planners can measure real audience coverage instead of repeated impressions.
Overlap prevents double counting. When the same person appears in multiple channels, raw audience totals exaggerate performance. Deduplicating overlap gives a more realistic measure of campaign scale and efficiency.
Triple overlap estimates people reached by all three channels. It is added back once because the inclusion-exclusion method subtracts shared audiences multiple times during the first overlap adjustments.
No. It is a planning model, not a user-level identity solution. It helps forecast reach using estimated overlaps, but it does not replace deterministic matching or advanced attribution systems.
Frequency helps compare gross impressions against deduplicated reach. This shows how often audiences are exposed on average and whether delivery is broad, repetitive, or balanced.
Use a population cap when your campaign targets a defined market size, such as a country, city, or customer segment. It keeps estimates realistic when large audience totals and growth adjustments inflate results.
Yes. It helps compare channels, estimate duplication, and identify where extra spending may increase repeat exposure rather than expanding the total audience.
This version is designed for three-channel planning. For more channels, expand the inclusion-exclusion logic carefully or use matrix-based audience modeling to avoid inaccurate overlap assumptions.