Lookalike Audience Value Calculator
Estimate the value of lookalike audiences based on expected conversion rates, AOV, and CPA. Compare lookalike performance against cold prospecting audiences.
Estimate your targetable audience size by applying demographic, interest, and behavioral filters to platform user bases. Plan budgets around realistic reach.
Platform Presets:
| Filter Step | Audience Size | % Remaining | Filter Applied |
|---|---|---|---|
| Platform Total | 200,000,000 | 100% | All users |
| After Gender | 102,000,000 | 51.00% | Gender: 51% |
| After Age | 30,600,000 | 15.30% | Age: 30% |
| After Interest | 4,590,000 | 2.30% | Interest: 15% |
| Final (+ Geo) | 1,836,000 | 0.92% | Geo: 40% |
Targeting Depth:
Knowing the size of your targetable audience is essential for budget planning and campaign forecasting. This estimator helps you approximate audience size by applying layered targeting filters (demographics, interests, behaviors) to a platform's total user base.
Each targeting filter reduces your audience. If a platform has 200 million users and you target females (51%) aged 25โ44 (30%) interested in fitness (15%), your estimated audience is 200M ร 0.51 ร 0.30 ร 0.15 = 4.59 million. This simple multiplication model gives directional estimates that help you plan before committing budget.
Accurate audience sizing prevents two common mistakes: budgeting too much for small audiences (causing high frequency and fatigue) and budgeting too little for large audiences (leading to negligible impression share).
This measurement provides a critical foundation for marketing budget allocation, helping teams invest where they will achieve the greatest impact on brand awareness and revenue growth. Integrating this calculation into regular reporting cycles ensures that strategic marketing decisions are grounded in measurable outcomes rather than intuition or anecdotal evidence.
Campaign success depends on matching budget to audience size. This estimator helps you right-size your budget, predict reach, and ensure your targeting parameters produce a large enough audience for effective delivery.
Estimated Audience = Platform Users ร Gender Filter ร Age Filter ร Interest Filter ร Geo Filter
Each filter is expressed as a decimal (e.g., 30% = 0.30)
Minimum Audience = 50,000 for effective ad deliveryResult: ~1.84 million users
Starting with 200M platform users: 51% female ร 30% aged 25โ44 ร 15% interested in fitness ร 40% in target geography = 1,836,000 estimated targetable users.
Audience size directly influences campaign dynamics. Too small and you'll face rapid fatigue, poor optimization, and volatile performance. Too large and your budget may spread too thin for impact. Finding the right audience size for your budget is a fundamental planning step.
Every targeting criterion reduces your audience. Demographics (age, gender) are the broadest filters. Interests and behaviors narrow further. Geographic targeting limits to relevant regions. The multiplication of all filters gives your final audience estimate.
Facebook/Instagram has the largest self-serve addressable audience (3B+). Google Display reaches 90%+ of internet users. LinkedIn has 900M+ professional profiles. TikTok has 1B+ monthly active users. Each platform's audience composition differs significantly.
A general rule: plan to reach at least 30-50% of your audience at frequency 3โ5x. If your audience is 500,000, plan for at least 750,000โ1,500,000 impressions. At a $10 CPM, that's $7,500โ$15,000 minimum budget.
Last updated:
For Facebook/Instagram, 100,000โ1,000,000 is a good range for most campaigns. For Google Display, 500,000+ works well. LinkedIn audiences of 50,000โ300,000 are typical for B2B. Retargeting can work with as few as 1,000 users.
Indirectly, yes. Very small audiences have limited auction competition, sometimes raising costs. Very large audiences give algorithms more optimization room, often lowering costs. Mid-sized audiences (100Kโ500K) are often most cost-effective.
Estimates are directional, not precise. Platform-reported audience sizes are better indicators. This calculator gives a useful approximation for planning purposes, but always verify with the platform's audience tools.
Broaden your targeting: expand age ranges, remove interest layers, widen geography, or use Lookalike/Similar audiences. Small audiences lead to high frequency, fast fatigue, and poor algorithm optimization.
Large audiences aren't inherently bad, especially with smart-bidding algorithms. But if performance is poor, narrow targeting to improve relevance. Use Custom Audiences or interest layering for better qualification.
Yes, users can belong to multiple interest categories. Adding more interests with OR logic increases audience size. Adding interests with AND logic decreases it. Most platforms default to OR when adding interests within the same group.
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