TikTok Sponsored Clipping Business

Trigger

Activate when user mentions: "clipping campaigns", "scan campaigns", "tiktok business", "clip deals", "campaign performance", "weekly clip review", "clipping scanner", "faceless clips", or similar.

Context Files (Read First)

• Context: /Users/tori/Documents/Repos/CHI/context/tiktok-clips.md
• Scanner: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/clipping_scanner.py
• Pipeline: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/overnight-pipeline.sh
• Performance data: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/clipping-performance.json
• Scanner learnings: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/scanner-learnings.json
• Seen campaigns: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/clipping-seen.json
• Daily scan output: /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/clipping-campaigns-YYYY-MM-DD.json

Platform Accounts

Core Constraint: FACELESS ONLY

We run headless/faceless clips exclusively. No face cam, no personal brand.

Approved formats:

• Text-on-screen with trending audio
• Product showcases (screen recordings, unboxing stills)
• Compilation/montage (best-of, fail compilations, satisfying clips)
• Voiceover narration over b-roll or stock footage
• Gameplay footage with commentary overlay
• Screen recordings (tutorials, app walkthroughs, reactions via text)
• AI-generated visuals with narration

Growth Strategy: ORGANIC ONLY

All growth is organic. No paid view services, no view panels, no artificial inflation of any kind.

The only exception: if a clip performs well organically (>1K views in 24h), consider TikTok Spark Ads ($5-10) as the ONLY legitimate paid amplification. Never use SMM panels.

Overnight Autonomous Model

This operation runs alongside — not instead of — the AI agency business.

How It Fits

• The clipping scanner runs as part of the overnight pipeline (11 PM), not during business hours
• Campaign discovery, trend research, and ranking happen autonomously overnight
• Human time is limited to 2-3 evening/weekend hours per week for actual clip creation
• Day business (AI agency contracts, client work) is completely separate and always takes priority

The Value Is Threefold

1. Direct sponsorship revenue — brands pay per view/flat fee for sponsored clips
2. Building a TikTok following as a marketing asset — a faceless account with 10K+ followers has value beyond clip payouts (cross-promote agency services, sell the account, leverage for future brand deals)
3. Learning the algorithm — understanding what content performs on short-form video platforms makes us better at advising clients

Time Budget

Workflow 1: Campaign Discovery & Ranking

Step 1 — Run the Scanner

cd /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline
python3 clipping_scanner.py --min-rate 1.0 --max-results 15

If scanner output is empty or stale, check cached data:

ls -la data/clipping-campaigns-*.json | tail -5
cat data/clipping-campaigns-$(date +%Y-%m-%d).json

Step 2 — Score Each Campaign

Apply this scoring matrix to every campaign found:

Pay Rate (0-10 pts)

Faceless Compatibility (0-5 pts)

• +5 if campaign explicitly allows or encourages faceless content
• +3 if campaign is format-agnostic (no face requirement mentioned)
• +0 if campaign requires face cam or personal brand
• -100 if campaign explicitly requires creator face (REJECT)

Brand Quality (0-5 pts)

• +5 if recognizable brand (Nike, Amazon, Spotify, etc.)
• +3 if mid-tier brand with real product
• +1 if unknown brand but legitimate product
• -2 if sketchy/dropship/crypto/gambling brand

Sponsorship Fit (0-5 pts)

• +5 if the brand aligns perfectly with content we'd post anyway (tech, productivity, gaming, AI tools)
• +3 if the sponsored content is genuinely interesting/watchable even without the sponsorship
• +1 if the content is tolerable but clearly "just an ad"
• +0 if the brand is boring and will tank engagement
• Key question: Will this sponsored clip get organic engagement, or will the audience scroll past it?

Cross-Post Potential (0-3 pts)

• +3 if the clip works on TikTok + IG Reels + YouTube Shorts with zero re-editing
• +2 if minor tweaks needed (aspect ratio, caption format) for cross-posting
• +1 if only works on one platform (e.g., TikTok-specific sound that won't carry over)
• +0 if platform-locked (TikTok-only watermark requirement, etc.)

Budget Remaining (0-4 pts)

• +4 if > 75% budget remaining
• +3 if 50-75% remaining
• +1 if 25-50% remaining
• -3 if < 25% remaining (likely to cap out before payout)

Deadline Proximity (0-3 pts)

• +3 if > 2 weeks out
• +2 if 1-2 weeks
• +1 if 3-7 days
• -2 if < 3 days (rush = low quality clips)

Follower Requirements (-5 to +3 pts)

• +3 if no follower minimum
• +1 if < 1K followers required
• -2 if 1K-10K required
• -5 if > 10K required (we may not qualify)

Platform Trust (0-2 pts)

• +2 if ClipHaven (escrow-protected payouts)
• +1 if Vyro (established platform)
• +0 if Whop (community-based, less payout protection)

Escrow/Payment Protection (0-2 pts)

• +2 if confirmed escrow
• +0 if no escrow info

Total possible: ~42 pts. Minimum viable: 12 pts.

Step 3 — Cross-Reference TikTok Trends

For top-scoring campaigns, check if the brand/niche aligns with current TikTok trends:

• Search TikTok for the brand name — is content about them trending?
• Check if the product category has trending sounds/hashtags
• Faceless accounts in that niche — what view counts are they getting?

Use web search to check:

"[brand name]" tiktok trending 2026
faceless tiktok [product category] views

Step 4 — Output "Top 3 Campaigns to Clip This Week"

Format each recommendation as:

## Campaign #[N]: [Brand/Campaign Name]
- Platform: [Vyro/ClipFlow/ClipHaven]
- Pay: [rate] | Budget: [remaining/total]
- Score: [X]/42 — [Excellent/Good/Decent]
- Deadline: [date or "open-ended"]
- FTC Disclosure: #ad #sponsored must appear at START of caption + verbal/overlay in first 3 sec
- Faceless Approach: [specific format recommendation for this campaign]
- Sponsorship Fit: [why this brand works for our content / audience overlap]
- Cross-Post Plan: [TikTok only, or TikTok + Reels + Shorts]
- Why This One: [1-2 sentences on fit]
- Clip Style: [text-overlay / screen-record / voiceover-montage / etc.]
- Trending Signal: [what's performing on TikTok for this brand/niche right now]

If only 2 strong campaigns exist, include a third as a "long shot" with a note explaining the risk.

Workflow 2: Brand Results Optimization

Different brands pay for different outcomes. Before clipping, identify the brand goal:

The Sponsorship Mindset

Sponsored content is the norm on TikTok and Reels — everyone gets paid to post. The goal here is subsidized content creation: brands pay us to make content that also grows our following. Even small sponsorship payouts ($10-50 per clip) offset the cost of content creation (tools, time, editing). This is about building a sustainable content operation, not getting rich on $0.50 CPMs. The real value compounds: sponsorship revenue + follower growth + algorithm knowledge.

Brand Goal Framework

Per-Clip Optimization Checklist

1. Identify brand goal from campaign brief (if unclear, default to Awareness)
2. Match clip format to goal (see table above)
3. First 3 seconds: hook + FTC disclosure overlay
4. Brand mention within first 10 seconds
5. If conversion goal: CTA at 60% mark AND end of clip
6. Hashtag strategy: #ad #sponsored FIRST, then brand hashtag, then 3-5 niche hashtags
7. Post at optimal time: Tue/Wed/Thu 12 PM EST or Tue/Thu 6 PM EST
8. If a clip performs well organically (>1K views in 24h), consider TikTok Spark Ads ($5-10) as the ONLY legitimate paid amplification. Never use SMM panels.

Engagement Quality Signals (Track These)

• Comment sentiment (positive mentions of brand vs generic)
• Share-to-view ratio (> 2% = excellent)
• Save-to-view ratio (> 1% = strong intent)
• Watch-through rate (> 40% = algorithm boost)
• Profile visits from clip (conversion signal)

Workflow 3: Weekly Performance Review

Run every Monday (or when user asks for "weekly clip review" / "campaign performance").

Step 1 — Gather Data

Read performance data:

cat /Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/clipping-performance.json

If the file doesn't exist yet, create it with this structure:

{
  "weeks": [],
  "clips": [],
  "cumulative": {
    "total_clips": 0,
    "total_views": 0,
    "total_revenue": 0,
    "total_platforms": {}
  }
}

Step 2 — Compile Weekly Report

Template:

# Weekly Clipping Performance — Week of [DATE]

## Summary
- Clips posted: [N] (target: 3-5/week)
- Total views: [N]
- Revenue earned: $[N]
- Revenue pending: $[N]
- Effective CPM: $[revenue / views * 1000]
- Human time spent: [N] hrs

## Platform Breakdown
| Platform | Clips | Views | Revenue | CPM |
|----------|-------|-------|---------|-----|
| TikTok   |       |       |         |     |
| IG Reels |       |       |         |     |
| YT Shorts|       |       |         |     |

## Campaign Performance
| Campaign | Brand | Clips | Views | Revenue | Status |
|----------|-------|-------|-------|---------|--------|
| [name]   |       |       |       |         | Active/Paid/Pending |

## CPM Trend
- This week: $[X]
- Last week: $[X]
- 4-week avg: $[X]
- Trend: [UP/DOWN/FLAT] — [reason]

## Top Performing Clip
- Campaign: [name]
- Views: [N]
- Format: [faceless format used]
- Posted: [date] at [time]
- Why it worked: [analysis]

## Worst Performing Clip
- Campaign: [name]
- Views: [N]
- Format: [faceless format used]
- What went wrong: [analysis]

## Patterns Identified
- Best posting time this week: [time]
- Best format this week: [format]
- Best hashtag combo: [hashtags]
- Audience insight: [observation]

## Action Items for Next Week
1. [specific action]
2. [specific action]
3. [specific action]

Step 3 — Update Data Files

Write updated performance data to:

/Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/clipping-performance.json

Write any new patterns/learnings to:

/Users/tori/Documents/Repos/CHI/automations/overnight-pipeline/data/scanner-learnings.json

Append new learnings under a "clipping" key in scanner-learnings.json, preserving existing data.

Step 4 — Update Context File

Update /Users/tori/Documents/Repos/CHI/context/tiktok-clips.md with:

• Current active campaigns
• Running revenue totals
• Any strategy shifts based on data

Workflow 4: FTC Compliance Check

Every clip recommendation and every clip posted MUST pass this checklist:

Mandatory Disclosures

1. Caption: #ad or #sponsored as the FIRST word/hashtag in the caption (not buried at the end)
2. Visual: Text overlay saying "Ad" or "Sponsored" visible in the first 3 seconds of the clip
3. Audio (if voiceover): Verbal mention of "this is a paid partnership" or "sponsored by [brand]" within first 3 seconds

What Does NOT Count as Disclosure

• #ad buried after 5+ other hashtags
• Disclosure only in bio or profile
• "Thanks to [brand]" without explicit ad/sponsored language
• Disclosure that appears after the first 3 seconds only
• Tiny/unreadable text overlay

Per-Clip Compliance Template

FTC CHECK for [clip name]:
[ ] #ad or #sponsored is FIRST in caption
[ ] Visual disclosure overlay in first 3 seconds
[ ] Verbal disclosure in first 3 seconds (if audio)
[ ] Brand relationship is clear to viewer
[ ] No deceptive claims about product
PASS / FAIL

Workflow 5: Faceless Content Research

When user asks to research faceless strategies or "what's working":

Step 1 — Search Current Landscape

Web search for:

faceless tiktok accounts 2026 views strategy
faceless tiktok clips sponsored content
text overlay tiktok viral 2026

Step 2 — Analyze Winning Formats

For each faceless format, evaluate:

• Average view count for accounts under 10K followers
• Engagement rate (likes + comments / views)
• Ease of production (time to create one clip)
• Reusability across multiple campaigns

Step 3 — Format Ranking

Rate formats on a 1-5 scale for: View potential, Production speed, Campaign versatility, Algorithm favor

Step 4 — Output Recommendations

Provide top 3 faceless formats to focus on this week, with:

• Why it's working right now
• Example structure (intro hook, middle, CTA)
• Estimated production time
• Which active campaigns it fits

Quick Commands

Experiment Framework

This is a 3-month trial (March 2026 - May 2026) to validate whether faceless TikTok clipping generates meaningful returns for the time invested.

Kill Criteria (Any ONE of these = shut it down)

• Followers: < 500 followers after 3 full months (by June 1, 2026)
• Engagement: Average engagement rate < 1% across all clips for 4 consecutive weeks
• Revenue: < $50/month with no upward trend for 2 consecutive months
• Time: Human time exceeds 5 hrs/week for 3 consecutive weeks (defeating the "overnight autonomous" model)

6-Month Hard Cap

If by September 1, 2026, the operation is not clearly showing value on at least 2 of these 3 dimensions (revenue, follower growth, algorithm insights that benefit agency clients), shut it down regardless.

Monthly Check-In Template

Run on the 1st of each month (or when user says "experiment check"):

# TikTok Clipping Experiment — Month [N] Check-In ([MONTH YEAR])

## Kill Criteria Status
| Metric | Target | Actual | Status |
|--------|--------|--------|--------|
| Followers | > 500 by Month 3 | [N] | ON TRACK / AT RISK / KILL |
| Engagement Rate | > 1% avg | [N]% | ON TRACK / AT RISK / KILL |
| Monthly Revenue | > $50 or upward trend | $[N] | ON TRACK / AT RISK / KILL |
| Weekly Time | < 5 hrs/week | [N] hrs avg | ON TRACK / AT RISK / KILL |

## Revenue Breakdown
- Sponsorship payouts: $[N]
- Platform bonuses: $[N]
- Total: $[N]
- Trend vs last month: [UP/DOWN/FLAT]

## Follower Growth
- Start of month: [N]
- End of month: [N]
- Growth rate: [N]%
- Organic only (no paid follows): YES/NO

## Algorithm Learnings (Agency Value)
- [Insight that could help agency clients]
- [Content format discovery]
- [Timing/hashtag finding]

## Decision
[ ] CONTINUE — on track, keep going
[ ] ADJUST — change strategy (specify what)
[ ] KILL — criteria met, shut it down
[ ] HARD CAP CHECK (Month 6 only) — showing value on 2/3 dimensions?

## Next Month Focus
1. [priority]
2. [priority]
3. [priority]

Status Overview (When Asked "tiktok business" or "clipping status")

Read all data files and output:

# TikTok Clipping Business — Status

## Active Campaigns
[list from most recent scan]

## This Week
- Clips posted: [N] (target: 3-5/week)
- Views: [N]
- Revenue (earned): $[N]
- Revenue (pending): $[N]

## All-Time
- Total clips: [N]
- Total views: [N]
- Total revenue: $[N]
- Avg CPM: $[N]

## Experiment Status
- Month: [N] of 3 (trial) / 6 (hard cap)
- Followers: [N]
- Kill criteria triggered: NONE / [which one]

## Next Actions
1. [highest-priority action]
2. [second priority]
3. [third priority]

## Platform Health
- Vyro: [status — active/auth-required/down]
- ClipFlow: [status]
- ClipHaven: [status]