Sponsored by
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
The biggest mistake I see with Meta automated rules?
People automate everything.
They create rules that pause campaigns, cut budgets, restart ad sets, all triggered by one metric and a 1-day window.
One bad day fires a cascade of actions.
By the time they log in, their best campaigns are paused and revenue is lost.
Here's what advertisers do wrong
Value rules fire on a single metric with a 1-day window.
One slow day is enough to pause a healthy campaign or campaign.
Budgets get auto-increased on campaigns that haven't proven anything yet.
Action-based rules run while you're asleep. Nobody checks what actually caused the trigger.
The rules are doing things. The campaigns are suffering. Human control is missing.
They blame Meta’s AI or the algorithm.
My approach to value rules is different
Most of the rules I run are notification-only.
They flag when something's off target, I log in, and I check everything — not just the metric that fired the alert.
One metric rarely tells the full story.
Here are the 4 rules I use:
Value Rule 1: Schedule-based stop/start
Action rule. Meta pauses and restarts the campaign automatically.
Some campaigns just shouldn't run certain days.
We have a lead generation client running phone call conversion campaigns.
We stop them every Friday evening and restart Monday morning.
Nobody answers on weekends, so every lead that comes in is wasted spend.
This takes two rules: one to pause, one to restart.
Simple time-based actions. Conditions needed, if you want to use it on particular campaigns.
Meta Value Rule: Scheduling turning on campaigns
Meta Value Rule: Scheduling turning off campaigns
Rule 2: Cost protection
Notification rule. Meta alerts me. I decide what happens next.
If CPA exceeds my target by 30% for 3 consecutive days, notify me.
Not pause. Notify.
One bad day is noise. Three days is a signal.
I check for creative fatigue, audience overlap, or a seasonal blip first, then decide.
Meta Value Rule: Target CPA increase alert
Rule 3: Budget scaling
Action rule. Meta increases the budget automatically if conditions are met.
If ROAS stays above target for 7 days, increase daily budget by 15%.
Not 50%. Not double. 15%.
Gradual scaling keeps you inside the learning phase without shocking the algorithm.
7-day window because anything shorter is just variance.
Meta Value Rule: Target ROAS increase 15%
Rule 4: Frequency alerts
Notification rule. Meta flags it. I check before touching anything.
If frequency on a cold audience hits 3 or above, notify me. No automated action.
Frequency at 3 doesn't always mean you need to change something.
Sometimes it means the creative is strong and people are watching twice.
I check CTR, hook rate, hold rate and CPM before I do anything.
What I never automate:
Creative testing.
Anything where one number doesn't capture what's actually happening.
Automated rules are a genuinely useful tool.
But they're only as good as the strategy behind them.
Every account has different KPIs, different targets, different risk tolerance.
A rule that protects one account will kill performance in another.
Don't copy someone else's setup.
Build rules that match your strategy. Start with notifications.
Get comfortable reading what the data looks like before you let anything take action automatically.
Rules should handle the obvious so you can focus on the rest.
TLDR:
The biggest automated rules mistake is action-based rules with a 1-day window.
Use notification-first rules so you can check all the variables, not just the one that triggered.
Build rules that match your actual KPIs and strategy, not someone else's template.
AI Alone Can’t Run Revenue
Finance doesn’t run on “mostly right.” It runs on math.
In The Architecture Behind AI-Native Revenue Automation, Tabs’s CTO breaks down why LLMs alone aren’t enough—and what it actually takes to build audit-ready, AI-driven contract-to-cash systems for modern B2B teams.
P.S. If you want to create high converting ads in under 3 minutes, take a look at my Canva Ads Template bundle:
200+ High Converting Meta Static Ad Templates
Create professional Meta ads in minutes — no designer needed! ✅ Access to 200+ Ad Templates ✅ Proven ad concepts ✅ Edit in Canva in under 5 minutes ✅ 4:5 Ratio to fit all ad placements ✅ Tru...