Test: How TikTok's Recommended Category Targeting Performs Vs Broad Targeting

Every new TikTok ad group will come with a prompt suggesting interest and behavior categories. We wanted to test these recommendations and see how they perform relative to broad targeting.

On most paid social platforms, we tend to target broadly and allow our creative to be the primary driver for performance gains. Every new TikTok ad group will come with a prompt suggesting interest and behavior categories. Those interest categories could include Car News, Singing & Music Competitions, and Shampoos etc. We wanted to test these recommendations and see how they performed relative to broad targeting.


Methodology

  • We ran a single split test optimized for Android App Installs for one Thesis client
  • US targeted
  • Dates: October 6, 2021 - October 13, 2021
  • Total spend across the test was $21,750.37
  • The ad groups were built using TikTok’s native split testing tool with the only difference being we applied the 15 recommended interests and behaviors recommended by TikTok to one of the ad groups
  • Both ad groups used the same creative
  • We also included other down funnel metrics: Registration and Unlock Achievement which for all intents and purposes is a "Purchase"

The Data

Looking at overall performance, using TikTok’s recommendations for targeting lead to CPAs that were 14.5% higher than targeting a broad audience. This translated to higher lower funnel metrics across the board. Broad targeting was slightly less expensive CPM wise and CPC wise and slightly outperformed on each of the lower funnel metrics as a result.


The ad group using the recommended targeting ultimately wasn’t able to win out on any KPI we looked at. Though it was a short test, we drove a number of conversions in both ad groups and both Ad Groups were able to meet TikTok’s 50 conversion requirement to exit the learning phase within the first 24 hours. 


Targeting Implications

At Thesis we maintain that targeting as broad as possible is the most effective way to increase both scale and performance of your campaigns. Focusing on optimizing your creative rather than targeting will likely lead to more significant gains in performance. That said, you might as well try testing Interest targeting if you have the time and budget!


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