Rule Chains: Build Multi-Step Automation Strategies

Automation rules are powerful on their own, but individually they only react to a single moment in time. Rule chains let you build sequences of rules that execute in a deliberate order — each rule picking up exactly where the previous one left off. The mechanism that makes this possible is tags: structured labels you attach to campaigns, ad sets, ads, or sites that carry history forward from one rule to the next.

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How rule chains work

Every rule in TheOptimizer can be configured to add or remove tags from the items it acts on. Those tags then become available as conditions in other rules, so you can create logic like: “Only run this rule on campaigns that have already been processed by that other rule.” This creates a pipeline: Rule A fires and tags the item, and Rule B is waiting for exactly that tag before it acts. Example: Rule checks for tags using the “Tags” condition. Example: Rule Adds and/or Removes Tags once it finishes the execution. It prepares the campaign, ad set or ad for the next stage. The key principle: a tag is a signal that something has already happened. It carries history forward.

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Setting up tags on a rule

When editing any rule, navigate to the Auto Tags section.

• Tags to Add — one or more tags applied to every item the rule acts on when it fires.
• Tags to Remove — tags stripped from items when the rule fires (useful for clearing a stage so an item can move to the next one).

Tags are applied immediately after the rule’s main action executes. If a rule pauses a campaign, the tags are added or removed from that campaign at the same time. To use a tag as a condition in another rule, add a condition in Step 2 (Conditions) using the Tags field: This ensures the downstream rule only applies to items that carry that tag.

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Example chains

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1. The Probation Chain — pause, wait, re-test

Goal: Pause campaigns that lose money, hold them for a cooling-off period, then automatically reactivate them for a second chance before deciding whether to kill them permanently. Why chain this? A direct pause-and-forget rule loses campaigns that may have had a bad day. This chain distinguishes between temporary underperformers and genuine losers.

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2. The Winner Escalation Chain — validate, scale, clone

Goal: Automatically move profitable campaigns through a structured scaling process — only unlocking larger budget increases and cloning after sustained performance, not just one good day. Why chain this? Scaling too fast on early signals wastes budget on campaigns that regress. This chain requires proof at each stage before moving to the next.

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3. The Creative Fatigue Chain — detect, rotate, retire

Goal: Automatically detect when an ad’s performance is fading, pause it for a rest period, then reactivate it. If performance doesn’t recover, retire it permanently. Why chain this? Creative fatigue is gradual. A single threshold rule either acts too early or too late. This chain catches the decline in stages.

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Tips for building reliable chains

Keep each rule’s job narrow. A rule in a chain should do one thing — flag, scale, pause, or reactivate. Rules that try to handle multiple stages get hard to debug and maintain. Use Tags to Remove to prevent re-entry. If Rule 2 fires on a tag left in place, it may fire again on the same item on the next run. Always remove the inbound tag once the rule has acted. Add a notification at key transitions. For high-stakes stages — especially scaling or cloning — enable notifications alongside the tag action so you stay informed while the chain runs autonomously. Test with small scope first. Before applying a chain globally, add it to a small group of campaigns using the standard (non-global) rule type. Review the tag history on those campaigns after the first few runs to confirm the flow is working as intended.