Video summary

Every Facebook Ad Problem Explained in 44 Minutes

Main summary

Key takeaways

Summary of the video (auto-subtitles cleaned up)

The video is a troubleshooting guide for scaling an e-commerce brand using Meta (Facebook/Instagram) ads and TikTok Shop. It walks through key performance metrics and common failure modes, including:

  • High CPMs
  • Low CTRs
  • Low conversion rates
  • Flat sales
  • Low ROAS
  • Scaling slowdowns

Core message: diagnose which funnel metric is good vs. bad, then apply the right fix at the correct layer—such as ad/compliance, creative, offer, website/PDP, or TikTok creator marketplace setup.

Meta (Facebook/Instagram) ad problems

High CPM (cost per 1,000 impressions)

Main levers:

  1. Compliance/messaging
  2. The offer

How it works:

  • Meta may flag certain claims/keywords (example given: health/weight/gambling/peptide-like messaging), which can raise CPMs.
  • Offer changes strongly affect CPM: improving perceived value (freebies, discounts, bundles, and a better deal vs competitors) can dramatically reduce CPM.
  • Website speed and compliance are scanned too, but the speaker says they affect CPM much less than offer/compliance.
  • Fixing messaging into a “compliance zone” can reduce CPM quickly.

Low Click-Through Rate (CTR)

Primary fix: run better creatives and sharpen messaging so ads feel relevant to specific audiences.

What to do:

  • Add specificity (e.g., call out buyer pain points like “busy professional,” “gut health,” etc.).
  • Use stronger creative formats (including UGC, video, and varied ad formats).
  • Explain the product more clearly.

Note: sheer ad volume doesn’t automatically solve low CTR; the emphasis is on the right creatives for product complexity and audience fit.

High CTR + High CPM but Low conversion rate

The video frames this as not primarily a Meta ads problem—it’s usually a website/product page (PDP) issue.

Example product-page fixes:

  • Move key info higher so “everything you need” loads immediately.
  • Add clearer bullet points / feature-benefit callouts.
  • Use multiple images (ingredients, benefits, lifestyle, serving size, etc.).
  • Improve offer placement (e.g., subscribe-and-save area, shipping callouts) and reduce clutter/padding.
  • Improve page speed and overall UX.

Additional note: some “low conversion” is normal for very high AOV products.

“Flat sales” + high ROAS (scaling stuck)

The speaker warns about false attribution / over-attribution to returning customers.

What happens:

  • If the returning customer rate is high, Meta can attribute sales to those same customers.
  • This can produce high ROAS while new customer acquisition is insufficient, causing sales to go flat.

Fix:

  • Segment out existing customers (exclude past purchasers / email lists).
  • Shift conversion objective/segmentation toward first-time customers.
  • Tailor offer messaging for first-time buyers (e.g., first-time discounts).

If returning customer rate is low:

  • Lean into subscriptions (or retargeting/flows).
  • Tailor to category (e.g., consumables vs clothing).

Low AOV (average order value) → low ROAS even when CTR/CPM/conversion look fine

If CTR/CPM/conversion look healthy but ROAS is still weak, AOV is likely the constraint.

Fix AOV with:

  • Upsells, cross-sells, bundles, and multi-pack offers
  • In-cart / on-site / pop-up upsells and pre-built bundles
  • Shipping thresholds (e.g., “spend $X for free shipping”) to increase cart size

Speaker benchmark: roughly $35 AOV as a scalability baseline; below that it’s “almost impossible to scale” (per the speaker).

TikTok Shop problems (creator/sample system)

The video shifts focus to TikTok Shop, emphasizing the creator sampling pipeline and metrics such as request rate and downstream sales.

Low request rate

Usually caused by:

  • Creator recruitment/message problems
  • The creator pitch isn’t compelling enough

Suggested improvements:

  • Test different outreach “agents”/offers.
  • Use a strong creator pitch including commission, budget, product selling points, and proven scripts.

Why it matters: scaling is difficult without enough creator requests; otherwise you get only a few (and often low-quality) leads.

High request rate but low sales

Usually caused by creator quality/fit.

Suggested approach:

  • Use pre-qualification (requirements before creators request/post).
  • Use post-qualification (validate after they request).
  • Improve selection using performance signals like views/GMV and requiring correct posting behavior.

How many samples/invites to scale

The speaker suggests a practical ramp:

  • Aim for roughly hundreds of samples per week (example: ~400/week) to reach 100K+ monthly revenue, assuming request rate and qualification are strong.

They also claim TikTok Shop can lift other channels (Amazon/Shopify/retail), with a typical “~30% lift” mentioned.

Creator approval logic (decisioning)

The video provides an example-style framework based on:

  • GMV over last 30 days
  • views volume
  • GPM (sales generated per 1,000 views)
  • post rate (likelihood they will actually post)
  • Sometimes a creator score/quality threshold

Main idea: don’t approve solely on GMV. Combine expected output with view volume and post rate. Sometimes lower GPM creators can still be worth it if they have massive reach and high post probability.

Website funnel problems (add-to-cart, conversion, opportunity cost)

Low add-to-cart + low conversion

Mostly driven by:

  • Shipping cost (example: product $30 but shipping $20)
  • Or checkout/add-to-cart UI issues (e.g., buttons covered, wrong drawer/page behavior, obstructed CTA, extra friction from pop-ups)
  • Possibly too few payment options (Apple Pay, Google Pay, Klarna, Afterpay, Shop Pay, etc.)

Add-to-cart high but conversion is not a problem (or close to add-to-cart)

If nearly everyone who adds to cart checks out, conversion isn’t the issue—this becomes opportunity cost.

Levers: raise add-to-cart rate by expanding personas, such as:

  • Creating more PDP variants (persona-specific pages)
  • Improving product page messaging so more relevant buyer types are attracted

The speaker stresses adding multiple personas to reach more people quickly.

Scaling Meta: why ROAS drops when spend increases

The video describes a common pattern:

  • ROAS stays strong at first
  • Then drops after spend increases

Likely causes emphasized:

  • Creative burnout/fatigue → fix with more creatives and new angles/formats
  • Low creative volume / low creative velocity → add more ads per week and test more frequently
  • Scaling too fast can also tank ROAS

Frequency issues:

  • Meta repeatedly shows ads to the same people (especially with broad/single-campaign structures).
  • Fix via improved audience structure/segmentation (including separating first-time vs returning, retargeting management) plus creative rotation.

Additional recommendation:

  • Use a creative testing framework/campaign so new creatives get real budget exposure rather than being starved by “winner” ads.
  • Rotate winners into production once proven.

Final takeaway

Fixes only work if you apply changes to the correct layer:

  • Meta issues: compliance + offer + creative/CTR
  • Website issues: product page UX, shipping, checkout friction, payment options, persona targeting
  • TikTok Shop issues: creator outreach quality + pre/post qualification + creator decisioning
  • Scaling issues: creative volume/velocity + fatigue/frequency controls + testing structure

The speaker ends by noting a deeper creative strategy framework is covered in another video, emphasizing that creative output strategy is crucial for scaling beyond diagnosis.

Speakers (identified)

  • Primary speaker (unnamed): Leads most explanations and examples across Meta and TikTok Shop.
  • Secondary speaker / co-speaker (unnamed): Interjects with questions and confirmations (e.g., about CPM, conversion, TikTok Shop creator approval, shipping, and AOV).

Original video