# Audiencelab

> Audiencelab is a web-to-app campaign, signal-engineering, and creative-outcome platform for mobile apps and games.

Last reviewed: 2026-08-10

Audiencelab is built by Geeklab Oy, an official TikTok Marketing Partner. The approved public name variant is “Audiencelab by Geeklab.” The product at audiencelab.ai is not affiliated with unrelated AudienceLab companies at other domains.

## Who it is for

- Mobile app and game growth teams
- User-acquisition and performance-marketing teams
- Creative strategy and analytics teams
- Teams evaluating web-to-app campaign flows
- Teams that want to complement an MMP with signal and creative workflows

## Product capabilities

### Web-to-app

Audiencelab supports campaign flows in which an ad click reaches a web experience before the app store. Teams can connect approved campaign and creative context with aggregate app or server outcomes.

- Product page: https://audiencelab.ai/web-to-app
- Technical documentation: https://audiencelab.ai/docs

### Signal engineering

Audiencelab helps teams define, validate, and deliver approved events and values to supported ad-network endpoints. Exact event types, permissions, and availability depend on the network and customer setup.

- Product page: https://audiencelab.ai/signal-engineering
- Meta: https://audiencelab.ai/integrations/meta
- TikTok: https://audiencelab.ai/integrations/tiktok
- Google Ads: https://audiencelab.ai/integrations/google-ads

### Creative-level outcomes

Audiencelab connects creative identifiers with aggregate install and post-install outcomes where the required data is available. Reports should state their source, attribution window, cohort maturity, and limitations.

- Product page: https://audiencelab.ai/creative-attribution

### MMP coexistence

Audiencelab can work alongside an MMP. MMPs can remain the attribution, reporting, and governance layer; Audiencelab focuses on web-to-app workflows, creative learning, and signal activation.

- Category explanation: https://audiencelab.ai/mobile-growth-performance-layer
- Audiencelab and MMPs: https://audiencelab.ai/audiencelab-vs-mmp
- AppsFlyer: https://audiencelab.ai/integrations/appsflyer
- Adjust: https://audiencelab.ai/integrations/adjust
- Singular: https://audiencelab.ai/integrations/singular

## Integration paths

- iOS and Android SDKs
- Server-to-server integrations
- REST API
- Approved MMP, export, and warehouse data paths where supported

Implementation details: https://audiencelab.ai/docs

## Pricing

Audiencelab offers:

- Product plan: percentage of user-acquisition spend
- Agency plan: monthly retainer plus percentage of user-acquisition spend

Machine-readable pricing: https://audiencelab.ai/pricing.md

## Verified public evidence

TikTok for Business reports the following results for its published Nanobit campaign case study involving Audiencelab by Geeklab:

- $1.13 cost per install
- 2.08 total ROAS
- 1.68 day-7 ROAS

Original source: https://ads.tiktok.com/business/en-GB/inspiration/audiencelab-by-geeklab-x-nanobit-tiktok-success-stories

Limitation: these figures describe the campaign in the published case study and are not a guarantee of future performance. The public source does not provide every variable required for causal inference.

Customer evidence hub: https://audiencelab.ai/customers
Claim methodology: https://audiencelab.ai/claim-methodology

## Privacy, security, and legal

- Privacy: https://audiencelab.ai/privacy
- Security overview: https://audiencelab.ai/security
- Terms: https://audiencelab.ai/tos
- Legal organization: Geeklab Oy
- Finnish business ID: 3019760-9

Audiencelab is designed around privacy-conscious aggregate and modeled measurement. The correct legal and technical configuration depends on each customer's data flows, markets, and implementation.

## Supported ad networks

One SDK integration: Meta (Facebook/Instagram), TikTok, Google Ads, Apple Search Ads, Snap, Unity Ads, ironSource, AppLovin, and Moloco.

## Access

Self-serve signup is currently closed. Request access by booking a demo: https://audiencelab.ai/?book-demo

## Primary resources

- Homepage: https://audiencelab.ai
- Resource center: https://audiencelab.ai/resources
- Documentation: https://audiencelab.ai/docs/welcome
- Blog: https://audiencelab.ai/blog
- Customer Stories: https://audiencelab.ai/customers
- Nanobit customer story: https://audiencelab.ai/customers/nanobit
- Integrations: https://audiencelab.ai/integrations
- Pricing: https://audiencelab.ai/pricing.md
- RSS: https://audiencelab.ai/rss.xml
- XML sitemap: https://audiencelab.ai/sitemap.xml

## Editorial and evidence policy

- Editorial policy: https://audiencelab.ai/editorial-policy
- Claim methodology: https://audiencelab.ai/claim-methodology

Public quantitative claims require an owner, source, scope, methodology, permission where required, limitations, allowed channels, and review date. Historical 53%, 12x, 95%, and 30–40% claims are not approved for public use unless a complete evidence record is restored.

## Contact

- Website: https://audiencelab.ai
- Support: support@audiencelab.ai
- Book a demo: https://audiencelab.ai/?book-demo