Section 01
The essential view
A concise reading of what matters, why it matters, and how to evaluate it.
- 01
Customer and campaign context
Nanobit is a mobile games publisher. TikTok for Business published a case study describing a campaign that combined creator content, TikTok One, TikTok Events API, Purchase Optimization, and Audiencelab by Geeklab's signal infrastructure.
- 02
The acquisition and signal challenge
Mobile UA teams often need richer post-install signals and creative-level outcomes so ad-network algorithms can optimize beyond installs alone.
- 03
How Audiencelab was used
According to the published TikTok case study, Audiencelab by Geeklab provided signal infrastructure for a wider campaign workflow. TikTok for Business says advanced signal engineering provided a more comprehensive optimization signal by incorporating in-app purchase and ad-revenue data, and identifies it as one of two key performance drivers alongside creator strategy. The source does not establish that Audiencelab alone caused the reported outcome.
- 04
Outcomes reported by TikTok for Business
TikTok for Business reports $1.13 CPI, 2.08 total ROAS, and 1.68 day-7 ROAS for the published campaign.
- 05
What teams can take away
More comprehensive value signals give network algorithms more useful learning input than install-only optimization. Use the official source for the full narrative, then design a new baseline before treating any metric as a planning target.
Section 02
How the work moves
A connected operating sequence, from initial intent to an outcome the team can evaluate.
- 01
Review the original TikTok case study
- 02
Note campaign scope and metric definitions available in the source
- 03
Separate reported results from Audiencelab interpretation
- 04
State limitations before quoting the numbers
- 05
Establish a new baseline for every future test
Limitations
What this does not prove
These results describe the campaign in TikTok's published case study. The campaign combined creator content, TikTok One, TikTok Events API, Purchase Optimization, and Audiencelab's signal infrastructure. The source does not establish that Audiencelab alone caused the outcome.
The public source does not provide every variable needed for causal inference.
CPI and ROAS depend on market, creative, product economics, spend, and cohort window.
Section 04
Questions teams ask
Direct answers to the points that usually shape the next decision.
- Who published these results?
- TikTok for Business published the case study.
- Does the case study guarantee the same result?
- No. It documents one campaign context.
- How should the numbers be cited?
- Attribute them to the official TikTok for Business case study and link to the original source.
Section 05
Continue the research
Go deeper into product documentation, methodology, and related evidence.