Everyone tracks CTR. Almost nobody tracks hook rate.

Hook rate = 3-second video views ÷ impressions

This tells you if people even STOP to look at your ad. A high hook rate with low CTR means your opening is strong but your offer is weak. A low hook rate means your creative is invisible.

Benchmarks:

• Below 20% — your hook is dead, reshoot it

• 20-35% — decent, test new opening frames

• 35%+ — strong hook, optimize the rest of the funnel

The fastest way to improve ad performance isn't changing your audience or budget — it's making the first 3 seconds impossible to scroll past.

Track hook rates across all creatives → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Open your Meta Ads Manager right now and check these 3 things:

1. Placement breakdown

Go to Breakdown → By Delivery → Placement. Find any placement with 0 purchases but >$50 spent. Exclude it.

2. Age/gender breakdown

Same drill. If 55+ is eating 15% of budget with 0 conversions — exclude it.

3. Duplicate audiences

If you're running 3 ad sets to "fitness enthusiasts," "gym goers," and "workout lovers" — you're bidding against yourself.

This takes 10 minutes and I guarantee you'll find money being wasted.

Do this audit automatically, every day → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

I know this triggers people, but the data is clear.

Across 30+ DTC accounts I've analyzed:

• Broad targeting: avg $22 CPA

• Interest stacking: avg $31 CPA

• Lookalike 1%: avg $27 CPA

Meta's algorithm is smarter than your audience assumptions. When you over-constrain targeting, you:

1. Shrink the auction pool (higher CPMs)

2. Limit the algorithm's optimization surface

3. Create overlap between ad sets

The move in 2026: broad targeting + strong creative + proper exclusions. Let the creative do the targeting.

If your ads only work with hyper-specific audiences, you have a creative problem — not a targeting problem.

Analyze your targeting performance → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Your ad isn't "scaling." It's dying. Here's how to know for sure:

Creative fatigue = when frequency rises but CTR drops.

The formula:

• Frequency > 2.5 + CTR drops 20%+ from peak = fatigued

• Frequency > 3.5 regardless of CTR = replace it

Most brands wait until ROAS craters to swap creatives. By then you've burned through your best audiences at inflated CPAs.

Set up alerts for these thresholds. When frequency hits 2.5, have your next creative ready to go.

The best media buyers aren't reactive — they're rotating creatives before the data turns red.

Automate creative fatigue alerts → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Monday CPMs are 15-25% higher than Thursday/Friday CPMs on Meta. This isn't random — it's auction dynamics.

Every brand restarts budgets on Monday. More competition = higher CPMs = worse efficiency.

What smart brands do instead:

1. Front-load budget on Thu-Sat when CPMs dip

2. Use campaign budget optimization to let Meta shift spend to cheaper days

3. Launch new creatives mid-week, not Monday morning

Small shift, big impact. I've seen brands cut CPA by 18% just by adjusting their weekly spend curve.

See your CPM trends by day → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Here's a rule most media buyers ignore:

If an ad set hasn't produced a purchase in 3 days at 2x your target CPA in spend — kill it.

Not "give it more time." Not "let the algorithm learn." Kill it.

I've audited 50+ ad accounts and the #1 source of wasted budget is zombie ad sets — spending just enough to stay alive, never enough to convert.

The math is simple: if your target CPA is $30 and you've spent $60 with zero purchases, the probability of that ad set becoming profitable drops below 12%.

Stop hoping. Start cutting. Your ROAS will thank you.

Track all of this automatically → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Most DTC brands obsess over ROAS as their north star metric. The problem? ROAS doesn't account for:

• Customer acquisition cost trends over time

• Blended vs. platform-reported attribution

• The lag between ad spend and actual revenue

If your ROAS looks great but your bank account doesn't agree — you have an attribution problem, not a scaling problem.

The fix: track MER (Marketing Efficiency Ratio) alongside ROAS. Total revenue ÷ total ad spend. It doesn't lie.

I built Adlytics to surface exactly these blind spots. 7-day free trial → https://whop.com/checkout/plan_fGjTnltsBuOmD/?d2c=true

Everyone obsesses over CPA and ROAS. But the brands actually scaling profitably are tracking these three things most people overlook:

1. Thumb-stop rate by creative format

Not just CTR — how many people actually stop scrolling. Static vs. UGC vs. motion graphics perform wildly differently by platform. If you're not segmenting this, you're optimizing blind.

2. Time-to-first-purchase by ad source

A Meta lead that buys in 2 days is worth more than a TikTok lead that buys in 14. Your CAC looks identical, but your cash flow doesn't. Factor this into your media mix.

3. Frequency decay curve

Most brands set a frequency cap and forget it. But decay isn't linear — creative fatigue hits different audiences at different rates. Track the exact point where marginal cost per conversion spikes.

These are the metrics we're building Adlytics around. If you're running paid ads for a DTC brand and want sharper data, we're just getting started.