3 Data-Driven TikTok Audience Insights That Impact Growth

20 August 2021

If you are running Facebook ads, you will find many similarities between Facebook and TikTok Ads Manager dashboard and user interface. To see impactful growth in your TikTok ad campaigns, the best way to optimize them is by using the data-driven methods.

Ever heard of the phrase, "never put all your eggs into one basket"? 

If you are in performance and results based marketing, you should be actively exploring and investing in multiple media channels other than the commonly used ones like Facebook and Google. One of the main problems we face in advertising is finding new audiences to target. By showing your ads in various channels, you will be able to increase your chances of acquiring new customers. 

In this article, we will be sharing our thoughts on TikTok advertising and how advertisers can leverage on data-driven insights to get more leads, website traffic, sales conversions, app installations, and more from the fast-growing video social platform. Mainly, we will be speaking to these two personas, and I am sure you fit into one of them:

  1. Advertisers who are successful in getting results from Facebook/Google ads, and want to find new audiences on TikTok
  2. Marketers who see the need for TikTok ads, but not sure what types of data-driven objectives they should achieve from it

For a start, the TikTok Ad Manager has a very similar user interface (UI) to Facebook Ad Manager. You could get started with it right away, and the dashboard is not so hard to navigate around. 


(Source: TikTok Ads Manager)


Why TikTok?

To put some light into TikTok's rapid growth, here are some reasons why the platform is developing so quickly:

  • With over 49 million installs in April 2021, TikTok is the most downloaded non-gaming app in the world for the second month in a row
  • With rolling out new features every week, the platform is also pursuing growth through integration with other apps
  • TikTok recently became the second most popular social network of choice for influencer marketing, according to a Linqia survey conducted at the end of April
  • Douyin, TikTok's Chinese app, processed $26 Billion USD in ecommerce transactions in its first year of operation. TikTok is currently working to replicate that success worldwide so retailers & ecommerce brands can get a slice of the pie

If you have been advertising for a long time, I’m guessing that you often leverage on audience insights and data to research your best-fit prospects online. Facebook and Google offer tools to help you find such audiences to target in your campaigns, but there is still very little information about TikTok audiences that you can research on. The advertising capability of TikTok is still developing, so you might wonder how different or impactful the audiences there are. 

Update (July 2021): Facebook no longer offers their own Audience Insights dashboard. However, many advertisers have started adopting 3rd party software and tools to help them research for their best audiences for that channel. 

So to get the ball rolling, here are 3 data-driven insights to help you find your best-suited targeting for your next TikTok ad campaigns.


#1: Determine WHY people want to engage in your products or services by using psychographics

Psychographic-based targeting helps you understand your audiences by finding out which personality traits and attitudes your consumers base their purchasing decisions on. This approach can be used to develop more segmented personas than it is possible on the basis of superficial demographic classifications. 

For example, I’m known to be a Marketing and AI Expert. However, a small private circle also knows me as a video gamer. From my online activity, social media platforms will know that I’m interested in both Marketing and Video Games, but only a small portion of advertisers would bid for “Video Games” to reach me with their ads. Most advertisers will rely on their common sense to bid for “Marketing" and "Technology”, making their ads much more expensive than if they choose to bid for “Video Games”.

If it is much cheaper to reach me via the “Video Games” interest, why would you pay for reaching me through the “Marketing" and "Technology” interests, which are so much more expensive? Imagine, you could reach the same customer but through his/her other, and not very common, interest that is still very relevant to the person. In SoMin, we call this long-tail targeting

Recently we wanted to know what are the long-tail targeting options for a fitness industry client. They wanted to run a video ad campaign to promote outdoor workout classes via TikTok. The ad aims to drive traffic to their sign up page at as little cost as possible (i.e. less than SGD $0.80 per click). 

Using long-tail, hidden targeting instead

Instead of targeting the "Fitness" interest or similar, we used our platform to look for long-tail audiences. Using Computer Vision (CV) and Natural Language Processing (NLP) technologies to analyze social media textual and imagery content, cluster millions of content engagement data points into new interest categories, and build personas that most advertisers will not target in their ad campaigns. 

Look at the top interests and psychological age analysis of the 'Ideal Audience' below. Not many of you will ask someone who is interested in "Business and Industry", "Fashion Accessories", "Travel", or "Beauty" to respond to an outdoor workout class ad. But, these are the interest categories that our machine learning engine classified into new personas.


(Source: SoMin AI Audience Insights and Analytics Dashboard, Top Interests and Psychological Age)


These interests were then included in the targeting for our TikTok ad campaign. As TikTok currently has limited interests to target, we find the closest corresponding matches to the list above. To make our campaign more targeted, we only choose to include the top four interests from our insights. Look at how we match them below. 

  • Business and industry = Financial Services
  • Fashion accessories = Apparel & Accessories
  • Travel = Travel (that's easy!) 
  • Beauty = Beauty & Personal Care



(Source: TikTok Ads Manager, Ad Group)


Winning the “blue ocean” bids every time

By doing so, we are able to avoid “bidding competition” with other brands and advertisers who use fitness-related interests. 

Additionally, we are able to see the top locations where our audience lives. So we added that in the location setting to further narrow our targeting.


audience locations

(Source: SoMin AI Audience Insights and Analytics Dashboard, Audience Locations)


 #2: Use ad creatives that resonates best with your psychographic audiences to get better engagement results

Knowing the psychological and behavioral insights of your audiences not only helps you with targeting. It also helps you to create stronger content and creatives that will be more relevant to your target customers. As creatives are part of the ad campaign, it is equally important to get this right on TikTok. 


Create ‘personal’ content for your TikTok audiences

Take a look at the social snapshots of our own audiences below. You will notice that our social media and ad content engages more with people that possess the following traits:

  • 60.5% of our audiences has feminine traits
  • 42.1% of our audiences has mature traits
  • 52.8% of our audiences has single-at-heart traits

social snapshot_2

(Source: SoMin AI Audience Insights and Analytics Dashboard, Social Snapshot)


With these insightful stats, it’ll tell you that you’ll have a higher chance of increasing your engagement rates when you publish creatives that speak to people with these ‘traits’.

Example: You can start designing and building social media or ad creatives that target the “mature, feminine people who are single at heart”

Start by asking yourself:

  • What should a mature person prefer to watch on TikTok? You’d probably avoid creating child-like or childish videos.
  • How should my content reach out to people showing feminine traits?
  • What objects, words, or video themes relate more with people who are single at heart?

Now, if that’s not all, we also researched the personality traits of our audiences. Using the Myers-Briggs Type Indicator (MBTI), we are able to deduce that our audiences are mainly INFP. 

  • They have 75.3% Introversion trait
  • They have 95.5% Intuition trait
  • They have 56.2% Feeling trait
  • They have 81.7% Perceiving trait

social snapshot_3_mbti

(Source: SoMin AI Audience Insights and Analytics Dashboard, MBTI)


Again, we can design creative, write content, and produce videos that resonate with this persona. Ask yourself:

  • What would an introvert prefer to see on TikTok? 
  • How would your video connect strongly with a person’s feelings and emotions?
  • What kinds of colours, scenes, and texts will be easy on the eye for a ‘perceiving’ person?
  • How would you write your captions to make them relatable to an INFP person?

So, adding on to the previous example: Your content must speak to the “INFP people who are single at heart that show mature and feminine traits”

If you are able to do extensive research to gather psychographic insights like this, and apply them to your creatives and content, then you will see massive improvements in your engagement or conversion rates on TikTok.


#3: How to effectively use TikTok’s internal insights and data to scale your ad campaigns

Like Facebook and Google, the TikTok Ad Manager is kind to provide you with their own insights and data to help you optimize your campaigns. 

Rule of thumb: Run an initial test campaign for at least a week to gather some data.

While there are several metrics to look at, here are five recommended ones (and how you can read and apply them). 

  • Dayparting
  • Age
  • Gender
  • Device Operating System (OS)
  • Video Play



You will be able to look at the Dayparting stats from the TikTok ad manager dashboard. Analyze the Click-through-rates (CTR) and Cost-per-click (CPC) distribution across Day and Hour. The screenshot below shows you the CTR distribution from our recent campaign. 

The darker shade of blue cells corresponds to higher CTR during that hour. You can quickly tell that high click-throughs of the ads occur during the night (particularly between 8pm and 2am), and throughout the whole day on a Sunday. 


(Source: TikTok Ads Manager, Dashboard: Dayparting)


Once you have the dayparting data, you can consider scheduling your ads during the hours with higher activity to achieve better results.



While you might not get the Age distribution insights directly from the dashboard, you could fetch them by creating and exporting a report. Go to ‘Reporting’ and select the Age dimension with key metrics like CPC, Clicks, and CTR. Then click on the ‘Run & Export’ button to download the report. 

We tabulated our results in Google Sheets, and it looks like the screenshot below. The age ranges of 18-24 and 35-44 perform above average in terms of CTR. It helps us understand better which age groups resonate with our ads more. In this case, since the results are pretty close, we continue to show ads to our initial age setting of 18-54. 

Of course, if you have outliers in the table that performs far worse than the rest, you could consider changing your age settings for future campaigns (excluding the outliers) so your ads won’t be shown to them.


(Source: SoMin Analytics)




The TikTok Ad Manager dashboard is able to show you a clear gender analysis of your campaign. We suggest looking at the number of results (clicks, conversions, app installs, etc.) to determine which gender makes a larger part of your ideal audience. 

From our own ad campaign, we can immediately tell that Females make up the majority of people clicking on our ads. Since our campaign objective is Website Traffic, this is a sufficient data point to refer to. You can also look into your traffic data from Google Analytics to see if the stats tally. This way, we could optimize our campaign by creating new ad groups that only target females to see if the results improve. More often than not, it will improve.


(Source: SoMin Analytics; TikTok Ad Manager Dashboard)


Device Operating System: iOS and Android

Now here is the interesting part. Before the Apple iOS 14 privacy updates, most advertisers would not actively optimize their campaigns based on device OS. However, after May 2021, results from iOS devices started to slow down because many Apple users opted out of AppTrackingTransparency (ATT) policy.

In short, the ATT policy allows users who opted in to see personalized ads from media channels like Facebook and TikTok. Those who opted out chose not to see it, making them more unreachable to advertisers. Many people opted out mainly due to concerns over how their data would be processed by advertisers. 

In the same dashboard on your TikTok Ad Manager, you can see the results distribution between iOS and Android devices. We can clearly see that users with Android devices make up a large chunk of our best-performing audiences. Similarly, you can consider testing another ad group targeting only Android users in order to improve your results even more.


(Source: SoMin Analytics; TikTok Ad Manager Dashboard)


Video Play

Analyzing the video play stats of your ad campaign is also critical in understanding how well your video creative performs. You will be able to create custom columns in your campaign table with Video Play metrics. Here are the key metrics you could look at.

  • Video Views
  • 2-Second Video Views
  • Video Views at 25%
  • Video Views at 50%
  • Video Views at 75%
  • Video Views at 100%
  • Average Watch Time per Person

The screenshot below shows the stats from a test campaign we ran over five days using a 15-second video creative.


(Source: TikTok Ad Manager Dashboard, Campaign)


If the numbers in the image are too small and blurry, here is the summary.

  • Video Views: 135,773
  • 2-Second Video Views: 54,141
  • Video Views at 25%: 22,785
  • Video Views at 50%: 6,804
  • Video Views at 75%: 3,710
  • Video Views at 100%: 2,539
  • Average Watch Time per Person: 5.09 sec

You can see that 60% of viewers dropped out even before the 2-second mark, which is pretty bad. Only 2% of viewers watched the video till the end. 

This could mean two key reasons why the stats are poor (though there might be other factors too):

  1. The first two seconds of the video is not engaging, and viewers do not find the need to keep watching beyond that
  2. There isn’t a “slippery slope” between each scene and transition in the video. An engaging video slides the viewer from point A to B to C and so on, with the viewer wanting to see more like sliding down a slippery slope

Corresponding to the issues above, there are two quick fixes that we can implement to improve the stats:

  1. Grab attention with an attractive audio or text headline at the start of the video. Asking questions can be a good starting point. Ever wonder why most YouTube or TikTok ads start with something like, “Do you wonder why...” or “Don’t you know that…”
  2. Create video sequences that follow the Awareness-Interest-Desire-Action (AIDA) flow, and make sure transitions are smooth. Watch a few movie trailers that you like and notice how they create the sequences and flow. Try following the same to improve the viewerbility of your ads.



To see impactful growth in your TikTok ad campaigns, the best way to optimize them is by using the data-driven methods. The key to your advertising success can be found in the numbers. That is why at SoMin, we employ Data Scientists and Mathematicians to help us improve the way we optimize ad campaigns and build audience insights to target more relevant people online.



  • Use psychographic data to help understand your audiences better – by finding out which personality traits and attitudes your consumers base their purchasing decisions on
  • It is more of knowing not just WHO your audience is, but understanding WHY they buy or convert
  • Build more engaging ad creatives using the above psychographic audience insights, and use them in your ad campaigns to achieve better results
  • Like Facebook and Google, the TikTok Ad Manager provides you insights and data to help you optimize your campaigns (only if you have ran campaigns for some time)


Keen to see what's inside our platform? Reach us for a FREE Platform Demo


Prof. Aleks Farseev PhD

Aleks Farseev is a machine learning wizard who can teach a computer to sing "Bohemian Rhapsody" in binary code. He loves conjuring up new creations and is on a quest to figure out how machine learning can make the world a better place. When not tinkering with technology, Aleks can be found serenading his friends with his accordion skills, which he claims are only slightly less impressive than his machine learning prowess.

Want to have a chat about our products?

We're always happy to talk about how our tools can help people.

Book a Demo