How to Measure Campaign Success: Cost per New User Benchmarks (25th Percentile)

A “successful” campaign isn’t just about getting attention. It’s about producing measurable growth and marketing performance you can evaluate with clear acquisition metrics.

In this article, we’ll focus on one practical way to define and measure success: cost per new user. You’ll also learn how to benchmark performance using percentiles and how to set a target that you can validate with analytics.

Define campaign success using growth and marketing performance

Campaign success should be tied to outcomes, not just exposure. The approach highlighted here defines success in terms of measurable growth and marketing performance.

Instead of relying on vanity metrics (like views or impressions), you compare campaigns based on the results they produce—especially how efficiently they generate new users.

Use acquisition metrics: cost per new user

A core metric for evaluating campaign performance is cost per new user.

The idea is straightforward: calculate how much you spend to acquire users who are new, then use that as the basis for comparing different campaigns. This makes the evaluation more decision-ready because it connects spend to actual acquisition outcomes.

When you compare campaigns using this acquisition metric, you can identify where results cluster among the best performers.

Benchmark performance against percentiles (aim near the 25th)

To make your metric actionable, use percentile-based benchmarking.

The key insight from the transcript summary is that the most successful campaigns tend to land close to the 25th percentile, which becomes a practical target reference point when assessing your own performance.

Rather than guessing what “good” looks like, percentile benchmarking helps you frame your results relative to a broader distribution of campaign outcomes. If you’re aiming near the 25th percentile, you’re targeting performance that sits among the stronger end of the cohort.

Set a target cost per new user (~30 cents)

Percentiles help you understand where strong performance lives, but you also need a concrete target.

A benchmark referenced in the video summary is around 30 cents per new user. This number is presented as a guiding reference point for cost-per-new-user targeting.

In other words, the suggested workflow is:
- Use cost per new user as your primary acquisition metric.
- Benchmark your results against percentiles.
- Treat ~30¢ per new user as a practical benchmark target.

Track results with analytics and expect slight variance

Setting a target is only useful if you measure against it. The transcript summary emphasizes tracking with analytics to validate whether your campaign results match your expectations.

It also notes that the achieved cost may be a bit higher depending on your specific data. That means you shouldn’t assume every campaign will land exactly at the benchmark.

Instead, use analytics tracking to:
- Confirm your real cost per new user.
- Compare it to your percentile target.
- Reassess your campaign plan if your results run above the benchmark.

Practical takeaway: measure, benchmark, target, and validate

To define and measure campaign success in a durable, performance-focused way, follow this loop:

1. Measure outcomes with acquisition metrics (use cost per new user).
2. Benchmark against percentiles (aim for performance clustering near the 25th percentile).
3. Use a concrete target benchmark (about 30¢ per new user as a reference point).
4. Validate with analytics tracking and expect some variance based on your data.

When you use this approach, you’re evaluating campaigns based on measurable growth and marketing performance—making it easier to decide what to scale, what to refine, and what to change.

Conclusion

Campaign success should be defined by measurable growth and strong marketing performance, not just awareness. By tracking cost per new user, benchmarking results near the 25th percentile, and using a practical target around 30 cents per new user—then validating with analytics—you can turn campaign evaluation into a repeatable process.