● Active for MVP
Persona v2 thesis
Tools-as-moat is encoded into brain pipeline: proof_mechanism_id FK on every cell, content-only cap on Stage R composite, tool-driven angle weighting per persona priority-1 signal. Architectural-level trust shipped before any paid spend.
◑ First paid validation
Bing Search first
Per STATUS.md: lower CPC, higher-income/older audience, partner-tier path Member → Select at $10K/90d. Bing fast-import Google structure with -30% bid adjustment. Trust signals + EDU sensitivity apply the moment spend turns on.
◐ Per-platform expansion
Meta + Google + TikTok
Meta 4-week warm-up ($0 → $5 → $25 → $50+/day). Google 4-week (Max Clicks → Max Conversions → Target CPA). TikTok 3-week (UGC-first, Spark Ads). Each warm-up activates with provisioned account.
○ Awaiting scale / partner
Native + multi-vertical
Native (Taboola/Outbrain) at $5K/$25K mid/premium thresholds. Meta Verified pre-warm. Multi-vertical social pre-warming. Activates per vertical as expansion lands.
📚 Trust signals + EDU compliance restrictions per platform below are evergreen reference material
— they hold whether or not we're spending today. The intel section + Two Auctions Thesis + per-platform sensitivities apply the moment paid spend turns on.
1
The Two Auctions Thesis
Every ad platform runs two auctions simultaneously. Most media buyers only optimize one.
The Visible Auction
Your bid, targeting, and creative competing for impressions. This is what most media buyers optimize.
Bid strategy → Audience → Creative → Ad rank
The Invisible Auction ← This One
Your account trust, page quality, and advertiser history determine what inventory you're even allowed to compete for.
10-20% lower CPMs • Faster review • Higher spend limits • Better inventory • Dedicated support
2
Platform Trust Signals -- Deep Intelligence
What each platform actually measures (not what they tell you) and how to influence it.
3
Account Warm-Up Timelines
Gradual trust building. Never increase budget >20%/day. Never edit during learning phase.
4
Trust Progression -- 24-Week Roadmap
Where each platform's trust level should be at each milestone.
| Week |
Meta |
Google |
TikTok |
Bing |
Native |
| 0 |
Setup + Meta Verified |
Account + AIV verify |
-- |
-- |
-- |
| 2 |
Engagement $5-10/d |
Search $50/d |
Biz verification |
Import from Google |
-- |
| 4 |
Conversion $50+/d |
Max Conv → tCPA |
Engagement $20-50/d |
Learning phase |
-- |
| 8 |
~ Silver HiVA |
Partner spend ($10K/90d) |
Converting $50-100/d |
Select Partner |
-- |
| 12 |
~ Gold HiVA |
Partner achieved |
Verified Business |
Select Partner |
Evaluate Taboola ($5K) |
| 16 |
Maintain Gold |
AI Max scaling |
→ Managed Account |
LinkedIn targeting |
Taboola mid-tier |
| 24 |
Gold/Platinum |
Premier evaluation |
Managed Account |
Elite evaluation |
Premium access |
5
Weekly Intelligence System
Automated monitoring of policy changes, algorithm updates, and executive signals. ~$0.25-$0.50/week via Agent SDK.
Tier 1: Official Sources (Automated)
Meta Ad Policies -- weekly Firecrawl diff
Google Ads Policy -- weekly Firecrawl diff
Meta Engineering Blog -- algorithm changes
Google Ads Blog -- product launches
TikTok Business Blog -- platform updates
Federal Register (EDU) -- regulatory changes
Tier 2: Expert Sources (Curated)
Jon Loomer -- tests every Meta change
Andrew Foxwell -- real CPL data at scale
Mike Rhodes -- Google Ads + PMax testing
Search Engine Land -- industry aggregation
Social Media Today -- policy change alerts
Tier 3: Executive Signals (LinkedIn/Threads)
Andrew Bosworth (Meta CTO) -- tech direction
Jason Yim (Meta) -- scoring changes
Jerry Dischler (Google VP Ads) -- roadmap
Vidhya Srinivasan (Google VP) -- AI in ads
Blake Chandlee (TikTok Pres) -- shop + ads
Weekly Intelligence Digest (every Monday):
├── Meta: [policy changes?] [new features?]
├── Google: [policy changes?] [new features?]
├── TikTok: [updates detected?]
├── Industry: [key insider posts this week]
├── Regulatory: [Federal Register EDU changes?]
└── Action items: [changes to make based on intel]
6
Brand Pre-Warming -- $0 Cost, Future Insurance
Create social profiles for future verticals NOW. When you're ready to advertise in 3-6 months, pages are aged with posting history.
🎓
DegreeSource
ACTIVE
7 profiles
Daily posting
<15min response
🚗
Auto Insurance
PRE-WARM
5 profiles
2x/week curated
15 min/week
🏥
Medicare
PRE-WARM
5 profiles
2x/week curated
15 min/week
💰
Financial Sharks
PRE-WARM
5 profiles
2x/week curated
15 min/week
Total pre-warm cost: $0/month • Total time: ~1 hour/week for all 3 future verticals
7
Weekly Intelligence System
Three tiers of monitoring. Tier 1 automated via Firecrawl cron. Tier 2 curated weekly. Tier 3 executive signals.
Tier 1: Automated Sources (6 weekly crons)
• Meta Ad Policies — facebook.com/policies/ads/ (Monday)
• Google Ads Policy — support.google.com/adspolicy/ (Monday)
• Meta Engineering Blog — engineering.fb.com (Wednesday)
• Google Ads Blog — blog.google/products/ads-commerce/ (Wednesday)
• TikTok Business Blog — business.tiktok.com/blog (Friday)
• Federal Register (EDU) — federalregister.gov/api/v1/ (Monday)
Tier 2: Expert Sources (manual + selective Firecrawl)
• Jon Loomer (jonloomer.com) — Tests every Meta change, documents undiscovered features (Weekly)
• Andrew Foxwell (Foxwell Digital) — Tests Meta strategies at scale, real CPL data (Weekly)
• Mike Rhodes (WebSavvy) — Google Ads testing at scale, PMax expertise (Biweekly)
• Search Engine Land — Industry news aggregation (Weekly)
• Social Media Today — Platform policy change aggregation (Weekly)
Tier 3: Executive & Insider (LinkedIn/Threads)
• Andrew Bosworth (Meta CTO) — Threads — Sets technical direction for ad system
• Jason Yim (Meta Client Solutions) — LinkedIn — Confirmed Feedback Score update Oct 2025
• Jerry Dischler (Google VP/GM Ads) — Google Marketing Live — Product roadmap signals
• Vidhya Srinivasan (Google VP Ads) — Blog posts — AI integration direction
• Blake Chandlee (TikTok President GBS) — Conferences — Shop + ads convergence
8
Trust Tracking Schema (Directus + Metabase)
4 new Directus collections feed 5 Metabase dashboards for trust progression and brand health.
platform_accounts
platform, account_id, vertical
status (setup/warming/active/restricted)
trust_tier (HiVA/Partner/Verified)
health_score (0-100)
warm_up_phase, days_active
daily_spend_limit
platform_health_log
account_id → platform_accounts
date, health_score, spend
impressions, ctr, cpl
disapproval_count, frequency_avg
feedback_score (Meta 0-5)
optimization_score (Google 0-100)
brand_social_log
vertical, platform, date
followers, follower_change
posts_published
engagement_rate
link_clicks (UTM tracked)
response_time_min
platform_intelligence
date, platform, change_type
summary (what changed)
impact (high/medium/low)
action_required (bool)
action_taken (filled later)
source_url
5 New Metabase Dashboards
• Platform Trust Progress (trust tier over time) • Account Warm-Up Tracker (phase, spend trajectory) • Brand Social Health (followers, cadence, engagement) • Platform Intelligence Feed (weekly changes, actions) • Setup Checklist (verification milestones)