Audiencelab + your MMP
Keep the reporting layer. Add the learning loop.
Your MMP (mobile measurement partner) keeps measurement and governance consistent. Audiencelab connects campaign and creative context to approved outcomes—then turns that learning into stronger signals and better next decisions.
Signal engineering means choosing the post-install events and value signals that best reflect the outcome an ad platform should optimize for.
Bring your MMP or warehouse setup. We'll map a data path and pilot scope.
Your MMP
Measure & govern
Audiencelab
Learn & activate
Together
Stable reporting. Faster optimization.
MMP measures and governs. Audiencelab learns and activates. Both feed the next campaign decision.
Published, case-specific performance evidence.
In its Nanobit case study involving Audiencelab by Geeklab, TikTok for Business reported $1.13 CPI, 2.08 total ROAS, and 1.68 day-7 ROAS. Case-specific; not a guarantee. Read the case study (opens in a new tab)
How the stack works
From governed data to a better next campaign.
Audiencelab connects approved outcomes to creative learning and supported network activation, keeping campaign context attached throughout the loop.
- 01
Govern
Your MMP
Attribution rules, reporting continuity, and partner governance.
- 02
Authorize
App or warehouse
Retention, revenue, and events your team can authorize.
- 03
Learn
Capture campaign and creative context
Source, campaign, audience, and creative.
- 04
Learn
Join approved post-install outcomes
Retention, revenue, and other outcomes you authorize from app, MMP, warehouse, or S2S.
- 05
Learn
Learn what drives valuable users
Compare creatives and campaigns on outcomes that matter—not only metrics that arrive first.
- 06
Activate
Improve signals & ad platforms
Send clearer value signals and apply learning to the next campaign.
Decision detail
Distinct jobs. One operating loop.
Keep the MMP for trusted reporting continuity. Add Audiencelab to learn faster and improve what happens next.
Your MMP
Attribute installs and events; standardize reporting; govern partner data.
Audiencelab
Web-to-app campaigns, creative-level learning, signal engineering, and supported network activation.
Together
MMP stays the official report. Audiencelab drives what to change next.
Connect through the path you can approve.
The right route depends on data access, consent, networks, and your reporting setup.
01
App SDK
Direct path in iOS or Android for campaign context and selected post-install events.
02
MMP or warehouse data
Approved exports or warehouse tables—no new SDK required in some setups.
03
Server-to-server or API
When that fits your architecture and controls better.
Coverage and maturity vary by source, MMP, network, consent state, and implementation path. When numbers differ, reconcile definitions, windows, identifiers, and raw events—keep the formal reporting source for governance.
Common questions
What teams ask before adding another layer.
Does Audiencelab replace our MMP?
Not by default. Most teams keep their MMP for reporting and governance, and use Audiencelab for creative learning, web-to-app workflows, signal engineering, and campaign activation.
Can we deploy without another SDK?
Sometimes. You can use approved MMP exports, warehouse data, server-to-server events, or APIs—depending on setup, consent, networks, and reporting needs.
How does data reach Audiencelab?
App SDK, approved MMP or warehouse data, or server-to-server/API. The right path depends on your data access, consent, networks, and reporting setup. Maturity varies by source and network.
What happens when sources disagree?
Definitions, identifiers, windows, and rules can differ. Keep your formal reporting source for governance. Use Audiencelab for learning and activation. Investigate gaps with definitions, windows, identifiers, and raw events.
Which MMPs or data stacks can it coexist with?
Established MMP and warehouse stacks. Integration maturity varies—review your MMP, networks, events, consent, and reporting needs with our team before assuming a path is fully mature.
Map the combined stack
Keep reporting continuity. Add a faster learning loop.
In 30 minutes, we'll review your MMP or warehouse setup, recommend a data path, and define a pilot scope—with official reporting left in place.