History and automatically closed actions

Why this matters

History contains executed, rejected and technically closed proposals, so you can see what happened to an optimization.

In Advisionr this feature is part of a wider decision process. Current Google Ads data, account settings, previous changes and measured outcomes are evaluated together. The same feature can therefore lead to a different recommendation in two accounts, which is exactly what you want from account-specific optimisation.

For the best result, first make sure synced data is current and that your primary conversions represent real business value. Then use Advisionr’s explanation to understand why a recommendation exists. A change is only truly useful when you can also measure afterwards whether it improved the result.

How to judge History and automatically closed actions in practice

Start with context: which Google Ads account, campaign or entity is affected, and which period is used? A few days of data can be random in a small account while the same period may contain strong evidence in a high-volume account.

Then evaluate both upside and risk. A small reversible change can be treated differently from a large change to bidding, budget or reach. Advisionr uses confidence, risk, measurement and safety controls, while your business targets and margins remain the final context.

After execution, avoid changing the same entity again immediately. Let the measurement window build a fair before-and-after comparison so that you can learn which actions genuinely work in your account.

Step by step

Follow this order to avoid drawing conclusions from incomplete data or mixing several changes at the same time.

1. Open Action Center and go to History.
2. Review status, campaign and timestamp.
3. Open the item for the execution or closure reason.
4. AutoPilot executions are marked with their automatic origin.

How to get the best result

Advisionr performs best when data, goals and responsibilities are clear. Use this working method to improve the quality of analyses and decisions.

• Make sure primary conversions represent real business outcomes such as purchases or qualified leads.
• Allow synchronisation to finish before judging new recommendations.
• Always read the campaign and account context instead of acting on the title alone.
• Change one decisive factor at a time when possible and let the measurement period finish.
• Only broaden AutoPilot after checking goals, budgets and allowed action types.
• Review History regularly to see both executed and deliberately blocked actions.

Common mistakes

• Judging an optimisation on one day or one metric without context.
• Making many changes close together and losing causal clarity.
• Opening AutoPilot limits before conversion tracking and budget guardrails are verified.
• Expecting every analysis to become a One-Click action even when evidence is insufficient.
• Confusing an automatically closed proposal with an executed Google Ads change.

Frequently asked questions