Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
TikTok advertising strategy, creative best practices, Spark Ads, and platform-specific optimization
TikTok advertising strategy, creative best practices, Spark Ads, and platform-specific optimization
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
First 1-3 seconds determine everything โ if viewers don't stop scrolling immediately, the rest doesn't matter Native content outperforms ads โ shoot vertical (9:16), use trending sounds, avoid polished brand look Hook patterns that work: pattern interrupt, bold claim, direct question, unexpected visual, POV setup Text overlays are mandatory โ 80%+ of users watch with sound off, burned-in captions aren't optional Refresh creative every 7-14 days โ fatigue hits faster than any other platform, have pipeline ready
Spark Ads use organic posts as ads โ keeps comments, likes, shares visible and accumulating Organic engagement on Spark Ads compounds โ viral potential unlike standard ads Creator handles can be swapped โ run ads from your brand handle or creator's handle Require creator authorization code โ valid for 7, 30, or 365 days, get longer duration upfront Boosting already-performing organic posts is safer than untested creative โ data before dollars
Interest targeting is less accurate than Meta โ TikTok's algorithm learns faster from creative signals Start broad, let algorithm optimize โ overtargeting restricts the machine learning that makes TikTok work Custom Audiences need 1000+ users minimum โ smaller lists won't deliver Lookalike percentages are different scale โ 1% on TikTok is broader than 1% on Meta Behavior targeting (video completion, engagement) often outperforms interest targeting
Learning phase needs 50 conversions in 7 days โ budget must support this or campaign never optimizes Cost Cap is stabler than Bid Cap for beginners โ limits volatility while algorithm learns Lowest Cost burns budget fast on launch โ switch to Cost Cap after gathering initial data Minimum daily budget per ad group: $20-50 depending on objective โ below this, delivery is inconsistent Don't edit campaigns during learning phase โ resets progress, wait until 50 conversions
One campaign per objective โ mixing awareness and conversion in same campaign confuses optimization 3-5 ad groups per campaign is optimal โ enough for testing, not so many that budget fragments 3-5 creatives per ad group โ algorithm needs options to test but too many dilutes learnings Separate iOS and Android campaigns post-ATT โ iOS tracking is limited, don't let it pollute Android data Catalog ads for e-commerce โ dynamic product ads outperform static for retargeting
Content is served via For You algorithm, not follower graph โ follower count matters less than Meta Hashtag challenges are paid products โ organic hashtags have minimal targeting value in ads Comments section is public and active โ negative comments kill CTR, moderate or disable if problematic Video completion rate is primary signal โ optimize for watch time, not just clicks TikTok pixel has same iOS limitations as Meta โ use Events API for server-side tracking
Test hooks independently from body โ first 3 seconds are separate variable from rest of video A/B test in creative tools, not ad platform โ TikTok's native split testing is limited User-generated style beats studio quality โ imperfect > polished on this platform Test creator vs brand voice โ same script performed differently converts at different rates Winners emerge fast โ if no signal in 3-5 days, creative likely won't work
Standard pixel misses 40%+ of iOS conversions โ implement Events API for accuracy View-through window defaults to 7 days โ conservative window (1 day) shows truer performance Lead gen forms have high drop-off โ keep fields to absolute minimum (name, email, phone) TikTok Shop has native tracking โ if selling via Shop, conversion data is more complete Attribution is last-click by default โ view-through conversions are modeled, not deterministic
Increase budget 20-30% max per day โ larger jumps reset learning phase Horizontal scaling: duplicate ad groups with different targeting โ avoids audience overlap issues Creative is the scaling lever โ same audience with new creative > same creative with forced reach CPMs spike during holidays and elections โ plan 2-3x budget for Q4 and avoid political seasons if possible International markets have lower CPMs โ test UK, Canada, Australia before saturating US
Repurposing Instagram Reels directly โ TikTok users detect non-native content instantly Logo in first 3 seconds โ viewers skip ads, not content. Logo at end, not beginning Long intros or brand statements โ no one waits, hook must be immediate Ignoring comments โ negative comments are social proof against you, moderate actively Expecting Meta-level tracking accuracy โ TikTok attribution is less mature, expect discrepancies
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.