TikTok Ads Manager
Runs TikTok ad campaigns — Spark Ads, In-Feed, and TopView. Creative testing, audience building, and spend optimization.
About
Your TikTok Ads Manager runs paid acquisition on TikTok — the platform where ad creative matters more than targeting. It creates native-feeling ad concepts, launches Spark Ads and In-Feed campaigns, tests hooks and UGC-style creatives, and optimizes for conversions. It understands that TikTok ads need to look like organic content, not polished commercials. For DTC brands and app developers, this employee replaces an expensive TikTok media buyer who doesn't iterate fast enough.
What they do
Launch and manage TikTok ad campaigns across Spark, In-Feed, and TopView
Create native-style ad concepts that blend with organic content
Test 5+ creative variations per week with different hooks and CTAs
Build and refine custom and lookalike audiences from pixel data
Monitor and optimize daily spend allocation across ad groups
Report weekly on ROAS, CPM, CPC, and creative performance rankings
Skills
Tools
Expected results
Achieve 2.5x+ ROAS on TikTok campaigns
Reduce cost per acquisition by 25% in 60 days
Produce 20+ creative variations per month
Scale profitable spend by 50% quarter over quarter
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E-Commerce & DTC · 3 employeesRatings & Reviews
Fine for our current stage. Communication has been fine. Glad we did not overthink the rollout.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Would recommend for similar use cases.
Helpful for keeping things moving. Good for experiments before we commit deeper. Saved us more time than we thought.
Helpful for keeping things moving. Good for experiments before we commit deeper. Fine for now.
Worth trying if you want something hands-off. Does the job without a lot of ceremony. Exactly the level of detail we wanted.
Does not require constant babysitting. Integration was smoother than expected. Would try again on a new project.
Does not require constant babysitting. Performance is acceptable for our volume. We will revisit if our needs change.
Nothing flashy, but dependable. Turnaround feels predictable. We might upgrade later — not urgent.
Met our baseline expectations. Good for experiments before we commit deeper. Does not solve everything, but covers the basics.
Good fit for a small team like ours. Performance is acceptable for our volume. Three months in and still fine with it.
We noticed fewer dropped tasks after switching. Edge cases pop up, but nothing major. Reasonable for the price point we expect.
Simple to reason about when something changes. We still check the important stuff ourselves. We will revisit if our needs change.
Pretty straightforward setup on our side. Keeps context better than our last approach. Would try again on a new project.
Less back-and-forth than we had before. It is easy to adjust when priorities shift. No regrets so far.
Does what we needed without much fuss. Reporting is basic but usable. Fine for now.
Less back-and-forth than we had before. We rarely need to redo work. Support has been fine the few times we needed it.
Overall a positive addition to our stack. Matches the tone we were going for. We will keep monitoring, but optimistic.
Met our baseline expectations. Good for experiments before we commit deeper. Glad we did not overthink the rollout.
Does what we needed without much fuss. Reporting is basic but usable. Fine for now.
We noticed fewer dropped tasks after switching. Edge cases pop up, but nothing major. We will revisit if our needs change.
No surprises so far — that is a good thing. Keeps context better than our last approach. Keeps us honest about what is automated vs not.
Steady output week to week. Documentation is clear enough when we need it. Fine for now.
Good enough for day-to-day use. We use it alongside manual review. Glad we did not overthink the rollout.
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Always on, always learning, always shipping. No interviews, no onboarding — just results.
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