About Audiencelab
Audiencelab is a web-to-app campaign platform that unlocks stronger ad network algorithms for mobile apps. It provides signal engineering, creative-level attribution, and custom value signals across Meta, TikTok, Google Ads, and every major ad network — all through a single SDK integration and without user-level tracking. Customers have achieved up to 53% CPI reduction and 12x performance improvement versus SKAdNetwork alone.
Web-to-App · Signal Engineering · Creative Attribution
Your app campaigns are leaving performance on the table.
One SDK. Stronger ad network algorithms, real-time creative-level data, and custom value signals for every major network.
Built by Geeklab, trusted by the teams behind the biggest mobile apps
Platform
Web-to-app campaigns that actually perform
Run app campaigns under the Sales objective. Tap into billion-dollar optimization engines with richer signals.
Web-to-App Campaigns
Run app campaigns under the Sales objective instead of App Promotion. Tap into the optimization engines Meta and TikTok built for billion-dollar e-commerce. Stronger algorithms, higher-intent signals, better auction performance.
See the Performance Shift
Same budget. Dramatically better results. Teams running Audiencelab's web-to-app flow consistently see stronger ROAS, lower CPI, and higher user quality.
Creative-level accuracy
Tie revenue and engagement to the exact creative that drove it, not campaign-level aggregates or SKAN delays.
Algorithms that learn faster
Richer signals back to Meta, TikTok, and Google so budgets move toward high-value users, not just cheap installs.
“With Audiencelab, our campaign performance didn't just grow. It skyrocketed.”
[The problem]
Your stack works. Your signal flow doesn't.
MMPs measure. Ad networks optimize. But nothing connects the two in real time, and that's where performance bleeds out.
SKAN isn't dead. It just quietly slows you down.
SKAN was supposed to be a privacy-safe bridge. Instead, it became a bottleneck. You're still getting delayed, aggregated postbacks with zero creative insight, all while trying to move at the speed of modern UA.
Meanwhile, your MMP is doing its best stitching the story together… from incomplete signals.
Typical postback window
24 to 72h / later, you get an answer. It's just not the one you needed.
| Campaign | Installs | Revenue | Creative |
|---|---|---|---|
| UA_iOS_Broad | ··· | redacted | n/a |
| UA_iOS_LAL | ~120 | redacted | n/a |
| UA_iOS_Retgt | ··· | redacted | n/a |
| UA_TikTok_01 | ~80 | redacted | n/a |
Your MMP unifies measurement. But it flattens performance.
Your MMP solves a real problem: a fragmented ecosystem of DSPs, SANs, and attribution methods. It gives you one consistent way to measure everything. One source of truth across chaos.
But in a post-ATT world, that same standardization comes at a cost. High-intent networks like Meta and TikTok don't get full credit for the value they drive because the signals they optimize on don't match what your MMP can see.
Where reporting breaks down
~40% / of real performance gets under-reported where it matters most
Your reporting looks clean. But the networks that drove high-value users get the same credit as everyone else.
You're optimizing for what the algorithm can see
The algorithms aren't dumb. They're just working with limited visibility. They see installs clearly. They barely see value. And they don't see it fast enough.
So they optimize toward what's available, even when it's a weak proxy for what actually drives revenue. The result isn't wrong. It's just misaligned.
The system optimizes perfectly. For the wrong signal.
The algorithm optimizes perfectly. For what it can see.
The solution
Audiencelab is the full platform for modern UA
Optimize and launch creatives, engineer the signals ad networks learn from, and see performance with the visibility and granularity your funnel deserves.
Tell the algorithms what a good user actually looks like
Installs don't tell you anything about user quality. Audiencelab lets you define exactly what a quality user looks like, then sends those signals directly to ad networks via Conversion API.
Algorithms stop optimizing for volume and start optimizing for value.
- Progression milestones: level completions, mission clears
- Core loop engagement: reward collection, session depth
- Blended monetization: IAP + ad revenue into a single ROAS signal
See exactly which ads drive revenue, not just installs
We don't track users. We track creatives. Every ad gets a unique creative token. Purchases, retention, and cohort quality attribute back to the specific creative in real time.
95% attribution accuracy
Real-time signals, not 24-72h SKAN delays
| Creative | ROAS | Revenue | D7 Ret. |
|---|---|---|---|
Video_UGC_03 | 6.1x | $12,480 | 42% |
Static_promo_12 | 3.4x | $6,230 | 31% |
Playable_demo_07 | 2.8x | $4,890 | 28% |
Carousel_lifestyle_01 | 1.2x | $1,640 | 18% |
Revenue and retention tied to the exact creative, not campaign-level aggregates.
Only the right network gets credit. Every time.
Today every self-attributing network claims the install. On first app open, Audiencelab sends the attribution postback only to the network that actually drove it. One source of truth.
No double-counting. No inflated reports. Clean, deterministic attribution that the algorithms can actually learn from.
One install. One source of truth.
Postback sent to Meta · Latency 1.2s
Built by a TikTok Platinum Partner
Audiencelab is built by Geeklab. That means early access to beta features, ad spend rebates, and partnership-only capabilities for your campaigns.
How it works
Live in days, not months
From SDK integration to real-time campaign data in three steps.
How it works
Lightweight SDK, clear milestones, and hands-on integration support. Real-time creative and signal data from day one.
Integrate the oneSDK™
One lightweight SDK, no external dependencies. Works with Unity, native iOS/Android, and major engines. Your team spends hours, not weeks. We assist end-to-end.
Define your value signals
We map in-app events to optimization signals together: progression, engagement depth, purchases, or blended ROAS. All tailored to your monetization model.
Launch and iterate with real data
Campaigns go live on the Sales objective with Conversion API data in real time. Creative-level attribution from day one. Pause losers, scale winners, and rotate creatives weekly using ROAS per creative, not SKAN.
Case studies
Real results from real campaigns
Same budgets. Same networks. Dramatically different outcomes.
- Before$3.80With Audiencelab$1.80
00 %CPI ReductionA mobile studio went from $3.80 to $1.80 CPI after switching to Audiencelab's web-to-app flow. Real-time creative iteration and 95% attribution accuracy made the difference.
- Before1xWith Audiencelab12x
00 xvs. SKANA top-grossing game (10M+ downloads) ran a head-to-head test: SKAN vs. Audiencelab, same network, same budget. The ability to react in real time drove a 12x performance gap.
In the press
The story behind Audiencelab
Hear it in our founder’s own words
Peggy Anne Salz
Journalist & Writer at Forbes and Pocketgamer.biz
As featured in
Networks
Works where you spend
Audiencelab connects to every major ad network, with more coming online every month.
Pricing
Two ways to work with us
Whether you run campaigns in-house or want a managed partnership, we've got you.
- Product
Teams that want the data and tools to run campaigns themselves
Includes
- Comprehensive onboarding
- SDK integration support
- Ongoing technical support
Percentage of UA spend
- AgencyRecommended
Teams that want us to drive performance end-to-end
Includes
- UA strategy
- Signal engineering
- Creative research & iteration
- Campaign monitoring
- Strategic reviews
Monthly retainer + percentage of UA spend
Ready to start?
Your budget deserves better data.
Teams using Audiencelab see stronger ROAS, lower CPI, and the clarity to scale with confidence.