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  3. Tiktok Ads Targeting Guide Interests Vs Hashtags Behaviors
Back to Strategy Hub

TikTok Ads Targeting: Interests vs Hashtags vs Behaviors (2026)

2026-01-28
2 min read
Kiril Ivanov
Kiril Ivanov
Performance Marketing Specialist

On Facebook, you target "Yoga Interest." On TikTok, that is too vague. The algorithm moves too fast. You want to target people who watched a Yoga video yesterday. That is Behavior Targeting.

In this "Mega-Authority" guide, we cover:

  1. Video Interactions: The strongest signal.
  2. Hashtag Targeting: The SEO approach.
  3. Creator Interaction: Stealing followers.
  4. Broad Targeting: The ultimate end-game.

Part 1: Behavior (Video Interactions)

Settings:

  • Audience -> Video Interactions.
  • "Watched to end" OR "Liked" OR "Commented".
  • Category: "Beauty & Personal Care".
  • Timeframe: Last 7 Days.

Why it wins: It captures Recency. Someone who liked a beauty video 7 days ago is in the market now.


Part 2: Hashtag Targeting

You can enter specific hashtags.

  • #booktok, #smallbusinesscheck, #gymrats.
  • This is very precise.
  • Strategy: Combine 10-20 relevant hashtags into one Ad Group.

Part 3: Creator Interactions

You can target people who follow specific "Types" of creators.

  • "Followers of Comedy Creators."
  • Unfortunately, you cannot target followers of specific accounts (e.g., "Target @Competitor followers"). That feature doesn't exist yet.

Part 4: Broad (No Targeting)

TikTok's algorithm is insanely smart at Content-Graph matching. If you have a great video about "Dog Training," and you run it Broad (No targeting), TikTok will show it to dog lovers within 2 hours.

  • Condition: You need strong creative.
  • Condition: You need pixel data (50+ conversions).

Part 5: Summary & Checklist

Your Action Plan:

  1. Test 1: Behavior Targeting (Last 7 Days).
  2. Test 2: Hashtag Stacking.
  3. Test 3: Broad (Only Age/Gender/Geo).
  4. Avoid: Generic "Interests" unless the audience size is huge.

Let the content find the audience.

Kiril Ivanov

About the Author

Performance marketing specialist with 6 years of experience in Google Ads, Meta Ads, and paid media strategy. Helps B2B and Ecommerce brands scale profitably through data-driven advertising.

View author profile Connect on LinkedIn

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