How Nanobit strengthened its TikTok campaign signals with Audiencelab

## Overview

1. 01Customer and campaign context

   Nanobit is a mobile games publisher. TikTok for Business published a case study describing a TikTok campaign that used Audiencelab by Geeklab for signal engineering and creative-level attribution.

2. 02The 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.

3. 03How Audiencelab was used

   According to the published TikTok case study, Audiencelab by Geeklab supported signal engineering and creative-level attribution for the campaign workflow.

4. 04Outcomes 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.

5. 05What teams can take away

   Use the official source for the full narrative, then design your own baseline before treating any metric as a planning target. Case-study results are not a guarantee of future performance.

## Process

1. Review the original TikTok case study
2. Note campaign scope and metric definitions available in the source
3. Separate reported results from Audiencelab interpretation
4. State limitations before quoting the numbers
5. Establish a new baseline for every future test

## Limitations

What this page does not prove or guarantee.

• These results describe the campaign in TikTok's published case study and are not a guarantee of future performance.
• 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.

## Questions

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.