Does the Tool Automatically Change Live Campaigns?
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Quick answer
Amazon Ads analysis tools from Todoza operate as read-only systems, so they do not automatically change live Amazon Ads campaigns. Negative keyword candidates, bid-reduction opportunities, and cleanup plans are generated for review, but nothing is applied until a user manually approves the action. This approval layer keeps campaign control in your team's hands while still accelerating the search-term analysis needed to separate productive brand terms from inefficient generic clicks.
That read-only behavior is especially useful when you are comparing brand terms against generic terms. You can review aggressive waste-reduction suggestions without worrying that an automated rule will pause a keyword or shift bids before you understand the context. The Amazon Negative Keyword Tool by Todoza, for example, is built around manual approval of negative keyword and bid change decisions.
What the tool can recommend
The analysis focuses on campaign-specific performance signals rather than one universal threshold. It flags search terms that look like negative keyword candidates, bid-reduction opportunities, or terms that simply need more data before a decision is made.
- Negative keywords: terms that spend without meeting your account's efficiency target.
- Bid adjustments: opportunities to reduce wasted spend on underperforming targets.
- Data gaps: terms that need more history before a safe call can be made.
How manual approval works
Because the tool is read-only, every suggestion waits in a review queue. Your team can accept, reject, or modify the proposed action before it ever reaches Amazon Ads. This is important because automated changes can misread temporary spikes or seasonal shifts, especially when separating brand and generic search behavior.
In multi-account setups, role-based workflows can help ensure only authorized users approve changes, keeping a deliberate approval step before live campaigns are touched.
When this matters for brand vs generic terms
Manual approval matters most when brand terms and generic terms behave differently. Brand queries can have different conversion patterns than generic queries, and a read-only tool can flag both without forcing an automated rule that might incorrectly treat a high-intent brand term like a wasted generic click.
If your team runs multiple Amazon marketplaces or shares access with external analysts, this control also reduces the risk of unwanted changes landing in live campaigns before a stakeholder review.
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For advertisers using Amazon SIS analysis to compare brand terms versus generic terms, the manual approval model keeps campaign changes deliberate and reviewable. That fits naturally with a workflow designed to surface inefficiencies first and let your team decide which fixes are worth applying.