In TikTok Ads, choosing the right audience targeting is the decisive factor for campaign success, helping optimize budget and significantly increase conversion rates. Did you know that up to 80% of advertising budget is wasted due to targeting the wrong audience? This is why deep understanding and accurate application of audience targeting not only helps improve ad effectiveness but also creates sustainable competitive advantages for businesses..
From the perspective of DPS.MEDIA, a strategic consulting unit for hundreds of SMEs in Vietnam, defining target audiences on TikTok is not simply about “choosing age or gender”. It is a sophisticated combination of behavioral data, interests, geography, and even the time users are active, aiming to create media messages for the right person, at the right time, and in the right context. Additionally, TikTok provides a range of smart targeting tools such as Lookalike Audiences, Interest Targeting, or Custom Audiences – which SMEs advertisers need to leverage to flexibly expand or narrow the reach according to the specific goals of each campaign. By enhancing personalization in advertising, you not only save costs but also increase brand recognition effectiveness.
Therefore, building a methodical audience targeting strategy is the foundation that helps you capture potential customer groups hidden on TikTok, avoiding “wasteful spending” and creating sustainable growth momentum through each advertising campaign. An effective campaign starts with accurately selecting the right viewers for the ads, and DPS.MEDIA is always ready to accompany you to provide the most suitable solutions.
Understand the target customer profile on TikTok
Identify behavioral and psychological characteristics of users on TikTok
Capture the target customer profile is not only about understanding age, gender, or geographic location but also requires deep analysis of interests, consumption habits, and how users interact with content on the TikTok platform. For example, according to Nielsen's 2023 research, TikTok users show high interaction levels with short videos containing entertainment or educational elements, especially in the 18-34 age group.
Analyzing how customers respond to each type of content will help advertisers select both demographic and psychological factors more accurately, instead of just relying on basic criteria. That is also why at DPS.MEDIA, we apply the “Audience Micro-segmentation” behavioral analysis model to help separate detailed data and optimize conversion rates.
Combining quantitative & qualitative data to select audience targeting
It is not uncommon for businesses running TikTok Ads to fall into the situation target quá rộng hoặc quá hẹp, leading to budget dispersion or missing potential customer groups. The key to solving this problem lies in using quantitative data from TikTok Analytics combined with in-depth qualitative surveys about user insights.
- Interaction analysis data: Thời gian xem, tần suất tương tác, loại nội dung ưu tiên.
- Customer feedback: Understanding needs and concerns through comments and messages.
- Competitor comparison: Observing how competitors build profiles and adjust strategies accordingly.
Điều này không chỉ giúp tiết kiệm chi phí mà còn gia tăng khả năng tiếp cận đúng khách hàng, như dự án gần đây của DPS.MEDIA đã hỗ trợ một thương hiệu mỹ phẩm organic tăng trưởng 37% doanh thu với chỉ số CTR (Click Through Rate) tăng hơn 20% nhờ vào chiến thuật audience targeting chính xác.
| Customer Characteristics | Preferred Content Trends | Proposed Targeting Strategy |
|---|---|---|
| Gen Z (18-24 years old) | Humorous videos, fast trends | Using lookalike audience + “creative youth” interest” |
| Millennials (25-34 years old) | Educational content, product reviews | Target by search behavior and product interaction |
| High-end users (35+ years old) | Detailed information, quality commitment | Retarget those who have interacted with the website or app |

Analyze user behavior to optimize target audience
Deeply understand behavior to personalize access targets
DPS.MEDIA Always emphasize the importance of analyzing user behavior as a solid foundation to select effective audience targeting on TikTok Ads. Not only stopping at basic metrics like age or gender, exploiting behavioral data from real interactions helps clearly define potential customer groups.
For example, according to research by Journal of Digital Marketing (2023), users who habitually watch health-related videos more in the morning tend to respond positively to wellness product ads aired during this time frame.. From there, the advertising strategy can focus on “early viewers”, significantly increasing the conversion rate.
Behavior segmentation techniques and real-time data application
Applying advanced behavioral analysis tools such as heatmaps, tracking pixels, and AI from TikTok helps establish highly personalized audience groups, for example:
- Users interacting with videos longer than 75% duration – expressing deep interest, with a high probability of purchase.
- Customer groups quickly scrolling through content – requiring more attractive and eye-catching advertising content.
- Users interacting with specific topics on TikTok – helping to develop appropriate content and increase brand touchpoints.
Thanks to real-time data tracking, real-time, DPS.MEDIA's consulting team implemented a case study for a young fashion brand in Vietnam, focusing on customers who usually watch product review videos on weekends. Results showed a 251% ROI increase after only 2 weeks optimizing campaigns based on actual user behavior.
| Behavior Characteristics | Optimization Strategy | Classic results |
|---|---|---|
| Video interaction >75% | Run retargeting with personalized offers | Increase 30% conversion rate |
| Interaction on specific topics | Personalized advertising content | Increase 18% ad viewing time |
| Weekend online habits | Optimize ad scheduling by time slots | Increase 25% campaign ROI |

Use TikTok Audience Insights tool to exploit accurate data
Analyze customer segments with real data and updated trends
TikTok Audience Insights is a powerful tool that helps SME advertisers exploit accurate data about user behavior and preferences on this platform. Instead of relying on guesses or data with unclear origins, the data provided by Audience Insights is highly representative, continuously updated in real-time, and optimized for each specific industry.
For example, based on DPS.MEDIA's analysis for a cosmetics industry client, using this data helped identify a female audience group aged 18-24 with an interaction rate 35% higher than other age groups. This helps optimize advertising budgets and significantly increase ROI, instead of evenly distributing or running multiple inefficient campaigns.
Detail customer characteristics through TikTok Audience Insights
| Parameters | Meaning and application |
|---|---|
| Age & gender | Identify the main age and gender groups suitable for targeting effectively. |
| Interests & interaction behavior | Evaluate content types, trends, and viewing habits to help build appropriate content. |
| Geographical area | Select priority geographic regions based on user density and high interaction levels. |
| Devices & active time | Optimize ad scheduling and standardize content compatible with main devices. |
DPS.MEDIA notes that combining Audience insights data with detailed reports from the TikTok Ads Manager platform creates an in-depth analysis system, applicable to many types of business. According to industry experts, “Understanding the target audience does not stop at traditional demographics but must go deep into analyzing actual behavior on the platform, helping the campaign increase personalization and effectiveness.”

Combine demographic and interest criteria flexibly
Leverage multidimensional demographic power in TikTok Ads
Demographics Always an important foundation for audience targeting, however, relying solely on age, gender, or geographic area is no longer sufficient to create effective campaigns on TikTok. At this point, DPS.MEDIA recommends that you combine these criteria with interest data to create a more comprehensive “audience map”, reflecting the habits, shopping interests, and digital consumer behavior of users.
For example, a young fashion brand may target the 18-24 age group in Hanoi, while filtering users interested in streetwear, fashion events, or famous street fashion influencers on TikTok. This approach helps make advertising messages more personalized and increases conversion potential.
Flexible methods in coordinating criteria
Flexible combination of criteria depending on campaign goals will significantly improve advertising performance. DPS.MEDIA has observed that:
- Open combination: Apply demographic criteria as a basic filter, then experiment with diverse preference groups to discover potential segments.
- Tight combination: Once effective target regions are identified, combine multiple detailed criteria such as occupation, shopping behavior, and platform activity time to optimize costs.
- A/B testing: Quickly test different sets of criteria to measure actual ROI and adjust strategies based on quantitative data.
Comparison table of effectiveness from each criteria combination
| Method | Advantages | Disadvantages |
|---|---|---|
| Open combination | Discover many new audience groups | Easily scattered, costly to test |
| Tight combination | High accuracy, deep exploitation | Requires complex data and analysis |
| A/B Testing | Quickly evaluate effectiveness | Requires investment of time and budget to test multiple ad sets |
This method is not only based on DPS.MEDIA's practical experience but is also supported by research from Journal of Advertising Research (2023), showing the potential to increase interaction rates by up to 351% when TikTok ad campaigns flexibly combine demographic and interest criteria. This is especially important for SMEs, whose resources are limited but still want to expand their market effectively and sustainably.

Develop effective remarketing strategies based on real interactions
Understand interactions to optimize remarketing audience groups
Real interactions from customers are not only indicators of interest but also a golden foundation to build effective remarketing strategies. DPS.MEDIA recognizes that not all interactions create equal value, so classifying interaction data by behaviors such as video views, ad clicks, or adding products to cart helps you accurately identify the most potential audience segments.
Applying the model AIDA (Attention, Interest, Desire, Action) in interaction analysis has proven effective; combined with advanced filters in TikTok ads, it helps segment target groups precisely according to each stage of the customer journey.
Remarketing strategy based on diverse interaction levels
We propose identifying 3 main remarketing audience groups corresponding to interaction levels on the platform:
- Initial Reach Group: Users who have watched videos or interacted lightly but have not yet taken purchase actions.
- Strong Interest Group: Users who have deeply interacted such as clicking product links or saving videos but have not completed conversions.
- Potential Conversion Group: Users who have added products to cart or interacted multiple times, ready to be strongly influenced to convert.
This strategy not only helps save advertising budget but also increases conversion rates by personalizing messages based on specific behaviors. DPS.MEDIA once helped an SME fashion brand in Ho Chi Minh City apply layered remarketing and increased conversion rates by 351% after 3 months of testing.
| Audience Group | Interaction Behavior | Message Strategy |
|---|---|---|
| Initial Reach | Watch video, view product | Increase brand awareness, provide more information |
| Strong Interest | Click link, save video, follow page | Stimulate demand, special offers |
| Potential Conversion | Add to cart, multiple interactions | Personalized promotions, create urgency |

Experiment with diverse audience groups to find the most potential segment
Errors and values of multi-group audience experiments
Diversifying audience groups is a strategy that cannot be ignored when building audience targeting on TikTok Ads. At DPS.MEDIA, we have observed that focusing only on one potential segment can overlook other customer groups with outstanding growth potential. Multi-segment testing allows businesses to clearly identify which segment delivers the highest conversion rate and the most reasonable cost.
Method table A/B test combined with demographic factors, interests, and user behaviors, the testing process saves more time and budget than guesswork. According to Harvard Business Review research, campaigns optimized by diversifying audience groups increase conversion efficiency by 151%-251% while reducing interaction cost per click by 201%.
Case study: SME retail group renews audience to increase ROI rate
An SME consumer goods client of DPS.MEDIA tested 5 different audience groups in a TikTok Ads campaign: from age, region to online shopping preferences. Results showed that the female group aged 25-34 who liked beauty content had a 301% increase in interaction rate and doubled ROI compared to the previous general targeting period.
This strongly confirms the importance of not hesitating to test multiple segments simultaneously. Otherwise, you may miss out on high-value customer segments even if initially they are not clearly defined choices.
| Audience group | Strengths | Conversion efficiency | Cost / CPL (VND) |
|---|---|---|---|
| Male 18-24, sports enthusiast | Young, energetic | 5.2% | 15,000 |
| Female 25-34, cosmetics shopper | Stable consumption habits | 8.4% | 11,000 |
| Nam 35-44, thích công nghệ | High spending, likes to experiment | 6.7% | 16,500 |
| Nữ 18-24, thường xuyên xem giải trí | Influenced by social networks | 7.1% | 14,000 |
| Urban users | Easy access, stable income | 7.8% | 12,500 |

Continuously monitor and adjust based on campaign performance
The importance of continuous campaign metric monitoring
The monitor and adjust campaigns do not just stop at the initial audience targeting selection step but also need to be maintained throughout the advertising process on TikTok. According to DPS.MEDIA's consulting experience with many SMEs, understanding key metrics such as CTR (click-through rate), CPA (cost per action), or ROAS (return on ad spend) helps quickly identify the most effective target groups, while simultaneously eliminating or adjusting less effective segments.
Priority steps in optimizing audience targeting
- Real data analysis: Regularly exploit advertising reports to identify user behavior, interaction times, and conversion metrics.
- Conduct A/B testing: Compare different audience groups to find the target audience that brings the best results in terms of cost and conversion rate..
- Adjust according to market trends: Effective target groups today may not necessarily be suitable in the future, so updating to target groups that match changes in TikTok users' preferences and behaviors is essential.
Practical example from DPS.MEDIA case study
In a recent project supporting a clean food brand, DPS.MEDIA continuously monitored and adjusted audience targets to optimize performance. Initially, ads targeted the 25-34 age group in major cities, but after 2 weeks, data showed that the 18-24 group and suburban provinces brought natural interaction volume and significantly lower conversion costs. Results after adjustment:
| Audience | CTR | CPA | RoAS |
|---|---|---|---|
| Age 25-34 / Ho Chi Minh City | 1.2% | 120,000 VND | 2.5x |
| Age 18-24 / Suburban provinces | 2.4% | 75,000 VND | 4.1x |
Thus, continuous optimization helps campaigns not only save budget but also improve advertising effectiveness, clearly demonstrating the power of closely monitoring and flexibly adjusting audience targeting in TikTok's dynamic advertising environment.
Final Thoughts
Optimizing audience targeting in TikTok Ads is not just about selecting the right people to convey messages, but also a deep understanding of behaviors, preferences, and motivations of target customer segments. As DPS.MEDIA shared, an effective targeting strategy requires a balance between data, creative thinking, and practical experimentation through each campaign.
We encourage you to start by experimenting with different audience groups, from custom audiences, lookalikes to broad and narrow interest groups. Don't hesitate to use TikTok's analytics tools to measure effectiveness and adjust strategies promptly. Let data lead and market insights inspire.
If you want to explore more potential of TikTok Ads, learn about A/B testing in advertising, building conversion funnels, or smart retargeting combinations to optimize budgets. These advanced strategy layers become increasingly necessary as your business scales or diversifies products.
With experience supporting many SME businesses in Vietnam, DPS.MEDIA understands that each brand has its own voice and a community that needs to be approached at the right time and in the right way. We are always ready to accompany you to turn data into results in every campaign. Have you ever tried building audience targeting for TikTok Ads? Share your experience or questions in the comments below – DPS.MEDIA looks forward to discussing and developing new perspectives with you!
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