How to Use Auto Campaigns as a Search-Term Discovery Engine

What You'll Need

• Amazon Negative Keyword Tool by Todoza – Identify and organize inefficient search terms quickly.
• Amazon Ads Report Analyzer – Automate collection and reporting on search-term data.
• Amz Ad Waste Detector - Amazon Ads Analytics Module – Analyze cross-campaign data to detect and manage waste.
• Amazon Ads Dashboard by Todoza – View performance and trends across accounts and campaigns.

Smart Data-Driven Discovery With Todoza Tools

Todoza's suite of analytics modules streamlines search-term discovery and cleanup in Amazon Ads by automating report imports and highlighting underperforming terms. These solutions reduce tedious manual analysis, allowing advertisers to act on actionable keyword insights more quickly and efficiently for Amazon campaign success.

Step 1: Launch and Structure Auto Campaigns for Data Collection

Start by creating Amazon auto campaigns for your product(s) using broad, automatic targeting. Organize campaigns by product group or seasonality to keep performance insights actionable. Leverage automatic targeting to cast a wide net and reach a broader customer base. Make sure your campaign budgets and bids are set to gather sufficient data, aiming to capture a variety of real-world search terms over time. Give new campaigns at least one to two weeks to accrue meaningful search-term data before you begin analysis.

Step 2: Analyze Search-Term Reports and Identify Top Performers

Review your Search Term reports frequently to uncover new queries driving actual sales or relevant traffic. Download Search Terms reports directly from Amazon Ads, or use the Amazon Ads Report Analyzer to automate imports and summarize key findings. Identify which search terms from your auto campaigns have strong click-through rates, sales, or efficient ROAS. Add these winning search terms as keywords in manual campaigns, using exact or phrase match to gain control over bidding and placements.

Step 3: Detect and Exclude Inefficient or Irrelevant Search Terms

Not every search term will deliver results; some will drain budget with few or no conversions. Investigate search terms with high spend but low or zero orders, as these are prime candidates for negative keywords or bid reduction. With the Amazon Negative Keyword Tool by Todoza, you can systematically score and classify these poor performers for exclusion. Apply negative keywords within your auto campaign or at the ad group level to prevent wasted spend and keep future campaign data clean.

Step 4: Monitor and Refine for Ongoing Discovery

Consistently monitoring performance is essential, as search behavior and competition shift over time. Utilize tools like the Amz Ad Waste Detector - Amazon Ads Analytics Module to drill down into daily data and spot new waste or opportunities. The Amazon Ads Dashboard by Todoza offers a high-level view of trends and lets you compare performance period-over-period without manual calculations. Repeat the process of mining, moving, and excluding terms at regular intervals to keep your campaigns sharp and discovery-driven.

Tips and Common Mistakes

Build a process for regular negative keyword management—don't wait for waste to add up before taking action. Expect some churn in discovered search terms as relevance evolves. Rely on clean, up-to-date data by using automated tools to avoid manual errors and time lags. Avoid setting fixed rules for negatives based solely on spend; always check if a term is truly off-target or could convert with bid adjustments. Finally, never stop the discovery cycle—auto campaigns offer a continual source of fresh keyword insights.

Refining Your Search-Term Discovery Process

Continuous review and adjustment drive the best results. Keep using your auto campaigns to capture new market trends and rely on tools for rapid, accurate analysis. Over time, this workflow strengthens ad relevance and efficiency while lowering wasted ad spend.