Are we a fit?
See what Audiencelab does, and if it helps your needs.
Audiencelab was built for marketers, UA teams, and analytics leaders who want clear, creative-level insights for iOS campaigns, without relying on SKAdNetwork, user-level tracking, or traditional attribution models.
Future-Proof Solution
While optimized for iOS, Audiencelab also works with Android and Steam, making it a privacy-ready solution for all your platforms.
Privacy-First Approach
Our solution is designed to provide actionable insights without compromising user privacy or requiring complex compliance implementations.
This page will help you determine if Audiencelab is the right solution for your growth goals.
✅ Audiencelab is a great fit if:
- You run paid user acquisition campaigns on iOS (or cross-platform) and need to know which ads are truly driving installs, engagement, and revenue.
- You manage mobile games or apps and want to scale creative performance instead of relying on channel-level data.
- You want to measure results without SKAdNetwork, or attribution workarounds — while staying privacy-compliant.
- You’re tired of incomplete reports from self-attributing networks (SANs) and want an independent, unbiased view of creative impact.
- You need to optimize creative testing budgets by cutting underperforming ads faster.
- You’re looking for a solution that works alongside or instead of your existing MMP on self-attributing networks.
- You want an integration that’s lightweight, privacy-friendly, and doesn’t require privacy manifest registration or SKAN enrollment.
❌ Audiencelab might not be the right fit if:
- You only advertise on Android and have no plans to scale iOS.
- You’re satisfied with channel-level ROAS and don’t need creative-level granularity.
- You’re solely looking for a tool to track organic installs or influencer campaigns.
- You want a solution tied into multi-touch attribution models or fingerprinting-based pipelines.
How does Audiencelab compare?
| Feature | Audiencelab | Traditional MMP |
|---|---|---|
| iOS campaign measurement | ✅ | ✅ |
| SKAdNetwork required | ❌ | ✅ |
| Creative-level attribution | ✅ | ❌ |
| User-level data stored | ❌ | ✅ (depends on config) |
| Privacy manifest required | ❌ | ✅ (for SDKs) |
| Works with SANs | ✅ | ✅ |
| Bias toward any network | ❌ | Often partial |
Tip
Audiencelab can act as a replacement for attribution reporting on self-attributing networks or complement your existing MMP if needed.
Still unsure?
Audiencelab’s approach to attribution is privacy-first and creative-centric.
We recommend it for any marketer seeking better creative insights without adding complexity or compliance hurdles.
Reach out to our team for a consultation on whether Audiencelab aligns with your measurement needs.