AUTOMATED AD RULES
Rules set the guardrails. The AI adapts inside them.
Native automated rules are rigid, cadence-limited, and single-platform. Cesara runs your rules — and an AI feedback loop that adapts allocation inside them, across every platform, checked daily. No rule can silently raise your total spend.
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THE PROBLEM
Rules are useful, right up until they hit a ceiling.
Native automated rules run on a fixed schedule, see one platform, cap out on conditions, and can't learn — so the rule that was right last month keeps firing anyway.
Native rules run on a fixed schedule
A rule that only checks every few hours misses the swing that happened in between. By the time it fires, the spend it was meant to catch is already gone.
Each rule only sees one platform
Meta's rules watch Meta. Google's watch Google. Neither can act on the fact that budget would do more good on the other platform — because neither can see it.
Conditions cap out fast
You can automate 'pause if CPA over X' or 'raise bid if ROAS over Y,' but real decisions have more inputs than a native rule builder will let you stack. Past a point, you're back to doing it by hand.
Rules don't learn
A rule that was right last month is often wrong now — the threshold you picked in a different season keeps firing anyway. A static condition can't notice the world moved.
HOW CESARA HANDLES IT
Rules and AI, working together — not one or the other.
Your rules are the boundary. The AI adapts allocation inside them, across every platform, every day — and the approval gate sits above all of it.
Your rules set the guardrails
You define the limits — floors, ceilings, what's allowed to move and what isn't. Those rules are the boundary the rest of the system operates inside, and they stay exactly as you set them.
An AI feedback loop adapts inside them
Within your guardrails, the AI adjusts allocation based on real results — the part a static condition can't do. Your rules constrain it; its results sharpen where the next dollar goes.
One logic across every platform
The same rules-plus-AI logic runs on Google, Meta, and TikTok together, as first-class platforms. No rebuilding the same automation three times in three different rule builders.
Checked daily against real revenue
Optimization runs every day against real order data from Shopify and WooCommerce — not a platform-reported proxy, and not only when a fixed schedule happens to fire.
No rule can silently raise total spend
Rules and AI can reallocate the budget you've approved. Neither can raise the total, launch a new campaign, or change creative without your one-click sign-off. The approval gate sits above every automation.
Past the ceiling native rules hit
When a decision needs more inputs than a condition builder allows, the AI handles the nuance inside your guardrails — instead of leaving you to do it manually the moment it gets complicated.
Where rules stop and adaptation starts
A native rule does exactly what you told it, on the schedule it’s given, for the one platform it lives on. That’s fine until the condition you picked stops matching reality. Cesara keeps your rules as the guardrail and adds an AI feedback loop that adapts allocation inside them — across Google, Meta, and TikTok, checked every day against real revenue.
You set a rule: pause any ad set whose CPA goes above $40, and keep at least 60% of budget on your top performer. Those limits hold, exactly as written.
Inside them, the AI notices a Google ad set that’s technically under $40 CPA but trending the wrong way while a TikTok set is pulling real 3.2x, and shifts approved budget toward the winner — a call a fixed threshold would have missed.
It also thinks the whole account could take another $1,000. That would raise your total, so no rule and no AI decision does it on its own — the request goes to you for a one-click yes or no.
Why native rules alone hit a wall
Meta’s and Google’s built-in automation share the same limits: a fixed cadence, capped conditions, and no memory. We wrote up the specifics in Meta’s automated rules limitations. The fix isn’t throwing rules out — it’s pairing them with something that can learn inside the boundaries they set.
And because every automation sits under the same budget guardrail, no rule can quietly raise your total spend. See how it works end to end, or check the flat, spend-banded pricing — never a percentage of your budget.
Automated ad rules questions
Your rules are the boundary; nothing crosses it silently. The AI adapts hard inside your guardrails, and asks before it ever changes the total.
Keep your rules. Add the part that adapts.
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