Video summary

Scaling to $10K/Day LIVE with Facebook Ads (dropshipping)

Main summary

Key takeaways

Business

What the creator claims to achieve (eCom + Facebook Ads)

  • Scales Shopify dropshipping to $10K/day using Facebook (Meta) Ads.
  • Example store performance: $56K over a recent date range (reported as ~$200K/month).

Core business playbook: test → find winners → scale

Process overview

  1. Launch a test campaign with multiple creatives (videos).
  2. Run for ~24–30 hours (Day 1) and evaluate performance using CPC first.
  3. Kill underperforming creatives early and reallocate budget to cheaper traffic/ads.
  4. Once creatives show repeatable purchase performance, move them into a “champion”/scale campaign.
  5. Continuously test new creatives every day (while scaling) to avoid performance decay.

Campaign setup (test campaign) — actionable steps

  • Objective: “Sales”
  • Catalog: turn off
  • Test campaign budget: $50/day per test setup
  • Conversion event: Purchase
  • Geography: US only or top 5 English-speaking countries
    • US, UK, Canada, Australia, New Zealand
  • Creative format: Single image or video, manual upload
  • Ad scheduling: scheduled until 6:00 AM in the selling country’s time
  • Avoid/disable items:
    • Do not use multi-advertiser ads (explicitly unchecked)
    • Turn off certain Facebook options (described generally as deactivating Facebook’s newer changes)

Creative quantity

  • Recommended for tests: 8–10 videos per test campaign.
  • If no sales on day one: interpret as creative-testing required, not necessarily a broken product.

Offer in headline example

  • “50% off sale ending at midnight” (example of adding urgency/discount)

Creative analysis rules / thresholds (KPIs used)

Primary early KPI: CPC

  • Day 1 evaluation uses CPC.
  • Rule of thumb: if CPC > $2.50–$3, it’s often “losing money” in ~90% of cases (their claim).

After ~1 day

  • Shut off the worst CPC offenders (examples cited: $6, $8, $5 CPC).
  • Keep ads with higher CTR + lower CPC.

After ~24 hours

  • Turn off ads with:
    • Highest CPC
    • Lowest CTR
  • Refresh winners by deleting media and adding new videos.

Purchase “winning” signal

  • Winning ads are those with purchases that also appear “profitable enough” when continued.
  • Example metrics:
    • “Super profitable”: $14 cost per purchase for 2 sales
    • Also says spent < $30 to get 2 sales

Scaling structure (how they separate winners)

Step 1: Champion / scale campaign (winning creatives)

  • Duplicate winning ads from test into a new scaling campaign.
  • Budget rule per winning video:
    • $50/day per winning video
    • If 2 winners → $100/day
    • If 4 winners → $200/day
  • Continue adding new winners to the same scaling campaign as testing finds them.

Step 2: Second scaling campaign (winning ad sets)

  • Duplicate winning ad sets into a second campaign.
  • Split concept:
    • One scale campaign for winning ads
    • Another scale campaign for winning ad sets
  • Scaling based on number of winners/ad sets found:
    • Example: 4 winning ad sets → $50 each → $200 budget

Continuous testing “to prevent collapse”

Warning / operational rule

  • They claim performance can “come crashing down in 1–2 months” if you don’t keep testing creatives.
  • Main reason: once creatives are in scaling campaigns, you can’t reliably test new creatives in the same environment—Meta’s delivery tends to concentrate spend.

Daily requirement

  • Test ~10 new creatives every day.
  • If a new day’s test yields another winning ad:
    • Add it
    • Increase budget by $50 (their stated adjustment style)

Creative sourcing & generation tactics (execution methods)

Where creatives come from

  • Use tools like Winning Hunter (Magic AI search, e.g., “Pilates board”).
  • Download/top-performing videos.
  • Recommendation:
    • Build compilation ads in CapCut
    • Also source from TikTok (download successful videos there)
  • They recommend being “original” rather than strictly reusing content.

AI-assisted image ads

  • Tool mentioned: Atria (best for photo ads)
  • If low budget: use ChatGPT to generate creative/image concepts.
    • Example: “Remove the person,” promote a “30-day money back guarantee”
  • If they can’t make 10 videos/day:
    • Make 10 image ads to maintain daily testing volume.

Tracking correction: Facebook under-reporting + profit-based decisions

Key issue

  • Facebook reporting can miss purchases, stated as up to ~30%.
  • This can lead to scaling decisions based on inaccurate CPC/CAC/profit signals.

Tracking solution

  • Use Hyros connected to ad manager to compute accurate metrics.
  • Example given:
    • Facebook: $600 revenue
    • Hyros: $800 revenue
    • Difference: $217 revenue missed (as they state)
  • Profit example:
    • Facebook: suggested < $200 profit
    • Hyros: showed ~$411 profit

Decision impact

  • Without Hyros, you might cut ads that are actually profitable because Facebook shows worse numbers.
  • Example:
    • Facebook: $70 cost per purchase
    • Reality: $52 cost per purchase
    • Their “ideal” threshold example: under $60 is acceptable

Killing ads: when to cut (operational stop-loss rules)

Consecutive losing days

  • If losing for 4–5 days straight → usually cut
  • In deep scaling mode → cut after 7 bad days
  • “Bad” means actively losing money (or excessive cost per purchase).

Example cut triggers (generalized)

  • CPC per purchase $167 → “not really profitable,” cut
  • Another example: $82 cost per purchase would lose money “for most stores” (they note their store may differ)

Replacement action

  • After cutting, introduce a new ad set (continuous replacement loop).

Budget guidance / runway (working capital)

  • Recommend having $200+ savings to kickstart.
  • Implied early unit economics:
    • Early test phase: 2 sales
    • Product cost: $30
    • Selling profit: “make a hundred on each” (implied ~$100 gross profit per sale)
    • Fulfillment cost must fulfill about $60 worth of orders (2 orders × $30 product cost)
  • They argue you can reinvest profits once they hit the bank, potentially waiting 2–3 days before shipping to receive payout (“no problem”).

Investing/markets note

  • No meaningful market/investment strategy is provided; the focus is ad execution, creative testing cadence, scaling mechanics, and tracking accuracy.

Key KPIs & thresholds mentioned (by the creator)

  • CPC (day 1):
    • Warning: > $2.5–$3 → likely unprofitable in most cases
  • CTR + CPC interplay:
    • Keep: high CTR + low CPC
    • Kill: high CPC + low CTR
  • Cost per purchase examples (profitability indicators):
    • Winning: $14 cost per purchase
    • Potentially cut: $70, $82, $167 (depending on tracking and store context)
  • Tracking gap:
    • Facebook missed sales up to ~30%
  • Scale campaign budget rule:
    • $50/day per winning video
    • Total daily budget = (# of winners/ad sets × $50)

Concrete “how-to” recommendations extracted

  • Build test campaigns with 8–10 videos.
  • Duplicate winners only into a separate scale/champion campaign.
  • Use a short evaluation window (~24–30 hours) and kill high-CPC creatives quickly.
  • Test new creatives daily (~10) to sustain winning delivery.
  • Don’t trust Meta’s purchase numbers at scale—use Hyros to avoid cutting good ads and mis-scaling.
  • Apply consistent cut rules (e.g., 4–5 bad days, 7 bad days when deep scaling) and then replace with new ad sets.

Presenters / sources mentioned

Presenter

  • The video speaker/creator (no name provided in subtitles).

Tools / sources referenced

  • Facebook/Meta Ads Manager (platform setting decisions)
  • Winning Hunter / Magic AI (creative sourcing)
  • CapCut (creative editing)
  • Atria and ChatGPT (AI creative generation)
  • AliExpress (example source image)
  • Hyros (attribution/profit tracking)
  • Instagram (mentorship CTA)

Mentorship program testimonial referenced

  • “Hard” (joined in September; hit winning product same month; $1.3M+ sales; mentioned being in Dubai)
  • No other identity details were given.

Original video