About Audiencelab
Audiencelab is an independent performance and optimization layer for mobile growth. It connects web-to-app campaigns, creative-level outcomes, and approved value signals across ad networks while an MMP can remain the reporting and governance layer. TikTok for Business reports $1.13 CPI, 2.08 total ROAS, and 1.68 day-7 ROAS for a published Nanobit campaign involving Audiencelab by Geeklab. The campaign also used creator content, TikTok One, Events API, and Purchase Optimization; results are case-specific.
Web-to-app campaigns and signal engineering for mobile growth
Turn post-install value into better ad-network decisions.
Audiencelab connects web-to-app campaigns, creative-level outcomes, and approved value signals across Meta, TikTok, Google, and supported networks—while your MMP can remain the reporting layer.
Published proof · TikTok × Nanobit
TikTok for Business reports2.08x
ROAS
$1.13
CPI
1.68x
Day-7 ROAS
Case-specific results reported by TikTok for Business. The campaign also used creator content, TikTok One, Events API, and Purchase Optimization. Past performance does not guarantee future performance.
Mobile growth experience across Geeklab products and services
Official TikTok Marketing Partner
Platform
Web-to-app campaigns built for measured learning
Use eligible campaign objectives and approved events, then compare the complete funnel against a declared baseline.
Web-to-App Campaigns
Run app campaigns under the Sales objective instead of App Promotion where the network and account support it. Connect approved web and app events to a measured campaign test.
See the Performance Shift
Compare a web-to-app pilot with a declared baseline. Review the complete funnel, mature cohorts, event quality, and business outcomes before scaling.
Creative-level context
Compare aggregate revenue, engagement, and retention by creative where the required data is available.
Approved signals for network decisions
Validate revenue, engagement, retention, or governed values before delivering them to supported network endpoints.
“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. Teams still need a governed workflow that connects reporting, creative learning, and the next signal decision.
SKAN protects privacy. It also limits creative learning.
SKAdNetwork remains an important privacy-safe measurement path, but delayed, aggregated postbacks give teams limited creative insight when they need to iterate quickly.
Your MMP can still govern cross-network reporting while Audiencelab focuses on web-to-app infrastructure, creative-level outcomes, and optimization 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. Audiencelab sharpens activation.
MMPs solve a real problem: a fragmented ecosystem of DSPs, SANs, and attribution methods. They give teams a consistent way to measure and govern reporting across networks.
Audiencelab can work alongside that stack. In a post-ATT environment, network, MMP, SKAdNetwork, and warehouse views can still disagree because their windows, identifiers, and attribution methods differ — so teams need a clear source of record for each decision.
Where reporting breaks down
Definitions / should be reconciled before budget decisions
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
A learning and activation layer for modern UA
Connect campaign and creative context with approved outcomes, then design supported signals for ad-network optimization.
Define the outcomes a campaign should learn from
Audiencelab helps teams select approved value events and prepare them for supported ad-network delivery.
Signal definitions, consent requirements, source differences, and validation remain visible.
- Progression milestones: level completions, mission clears
- Core loop engagement: reward collection, session depth
- Blended monetization: IAP + ad revenue into a single ROAS signal
Compare mature outcomes at creative level
Connect campaign and creative context with approved post-install outcomes while keeping attribution definitions, windows, confidence, and source differences visible.
Three signal stages connected
Context, approved outcomes, network delivery
| 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% |
Example data only — not customer results or a performance claim.
Keep reporting definitions visible
Audiencelab can reconcile available campaign context and approved outcomes without presenting itself as universal attribution truth.
Your MMP can remain the reporting and governance layer while Audiencelab supports the learning and activation loop.
Source differences remain visible.
Illustrative product UI · example data
Official partnership
Built by an official TikTok Marketing Partner
Audiencelab is built by Geeklab — an official TikTok Marketing Partner. Explore the supported TikTok signal workflow and review the official Nanobit case study for published customer evidence.
How it works
Scope the path around your approved stack
Timing depends on the selected sources, destinations, access, data quality, and review requirements.
How it works
Clear milestones and hands-on integration support. Data availability and timing depend on the approved sources and destinations.
Integrate the oneSDK™
Choose an SDK, server-to-server, or API path that fits the app and approved data flow. We scope the work with your team.
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
Validate network diagnostics, compare mature cohorts, and use the findings to update signals, creative briefs, and campaign decisions.
Case studies
Named proof from TikTok and Nanobit
From an official TikTok Marketing Partner: a named game studio, a named network, and hard performance metrics — not anonymous benchmarks.
Cost per install
$1.13
Total ROAS
2.08x
0.000.00 xROAS on TikTokNanobit x TikTok case studyTikTok for Business reports these outcomes for a Nanobit campaign involving Audiencelab by Geeklab, TikTok Events API, and Purchase Optimization.
Review the original TikTok sourceDay-7 ROAS
1.68x
Creative pipeline
TikTok One
0.000.00 xDay-7 ROASTikTok One creator campaignTikTok for Business reports 1.68 day-7 ROAS in the same published Nanobit case study involving Audiencelab by Geeklab.
Review the original TikTok source
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
Integrations
Works where you spend
Choose an SDK, server-to-server events, REST API, approved MMP exports, warehouse delivery, or customer-specific supported connectors.
Book a stack review
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
Get Product Pricing - 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
Talk to Our Team
Review plan scope and pricing notes in the machine-readable pricing file.
Read the docsReady to start?
Your budget deserves better data.
Review your campaign flow, creative outcomes, and signal quality with a baseline your team can defend.