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Ad Badger Software

Welcome to the heart of Ad Badger! Unleash the full power of our software with our comprehensive help docs. Whether you're optimizing campaigns, fine-tuning keywords, or exploring advanced features, this collection is your roadmap to mastering the Ad Badger experience. Dive into clear instructions, practical tips, and insider insights to amplify your advertising game and make the most of our cutting-edge software.
Michael Erickson Facchin
By Michael Erickson Facchin
35 articles

Profits Dashboard: Real-Time Business Economics

The Profits Dashboard is a powerful tool designed to give you a clear, comprehensive view of your Amazon business’s financial health. By aggregating data across sales, returns, Amazon fees, and PPC spend, it allows you to move beyond simple "Sales" metrics and understand your true SKU economics. Accessing the Profits Dashboard 1. Navigate to the Analytics tab in the left-hand sidebar. 2. Select Profits from the dropdown menu. Key Features & Insights The Profits tool provides a granular breakdown of your performance by factoring in all business costs to help you make data-driven decisions. 1. High-Level Performance Trends At the top of the dashboard, a visual bar chart compares your Total Sales against your Net Profit Total. This allows you to quickly spot trends in your margins over time and see if your profit is scaling alongside your revenue. 2. Comprehensive Data Breakdown The data table organizes your metrics into logical groups. You can expand or collapse these categories using the Column Visibility settings to customize your view: | Group | Key Metrics Included | | Sales | Total Sales, Net Sales, Avg. Price per Unit | | Units | Total Units Ordered, Net Units After Returns | | Returns | Refunded Sales, Refunded Units, Return Rate % | | PPC | Ad Spend SP (Sponsored Products only) | | Cost of Goods Sold | Pulls directly from your Amazon settings | | Fees | Total Fee Amount + 13 individual Amazon fee types | | Profit | Net Profit Total, Cost per Unit, Gross Profit | 3. Understanding the Fee Breakdown The Fees group is the most robust section of the dashboard, pulling every possible Amazon expense into one view. This includes: - Fulfillment & Storage: FBA Fulfillment, Storage, and Long Term Storage Fees. - Logistics: Inbound Transportation and Convenience Fees. - Transactional: Referral, Refund, and Coupon Redemption Fees. - Inventory & Promotions: Disposal, Removal, Customer Return, and Lightning Deal Fees. Important Data Notes - PPC Coverage: The PPC column currently reflects Ad Spend SP (Sponsored Products). Other ad types (like Sponsored Brands or Display) are not included in this specific dashboard at this time. - COGS Source: Cost of Goods Sold (COGS) data is pulled directly from Amazon. If you have not provided this information within your Amazon Seller Central account, it will not populate here. Customizing Your View Toggle Time Aggregation You can analyze your profitability at different levels of granularity depending on your needs. Use the Period Segment dropdown located above the data table to switch between: - By Month: Best for long-term strategic planning and monthly bookkeeping. - By Week: Best for monitoring the immediate impact of price changes or new ad campaigns. Manage Column Visibility If the table feels too crowded, use the Column Visibility tool (the column icon above the table) to search for specific metrics or hide entire groups like "Fees" to focus only on Sales and Profit. Filter by Product or Marketplace Use the Global Filter (top right) to view data for all products or drill down into specific SKUs and marketplaces for a more targeted economic analysis. Why Use the Profits Dashboard? - Identify "Profit Bleed": Spot products with high return rates or excessive FBA fees that are eating into your margins. - Validate Ad Spend: Ensure that your PPC investment is actually leading to bottom-line growth, not just "vanity" sales. - Real-Time Economics: Avoid waiting for your monthly accounting reports; see your success in real-time and make data-driven decisions with ease. 💬 Need Help? Reach out to our Support Team anytime through the Live Chat bubble in the lower-right corner of the tool.

Last updated on May 24, 2026

All Campaign Placements Dashboard

The All Campaign Placements view gives you a consolidated, high-level look at how your Amazon ads perform across Top of Search, Product Pages, and Rest of Search—all in one place. Instead of checking placements campaign by campaign, this dashboard helps you quickly understand where your spend, impressions, and sales are really coming from, so you can make faster and more confident optimization decisions. With All Campaign Placements, you can: - View performance across all campaigns and placements in one table - Compare results between Top of Search, Product Pages, and Rest of Search - Identify which placements deserve more budget or bid adjustments - Spot underperforming placements before they waste spend 📍 How to Access All Campaign Placements 1. Click Ad Manager in the left-hand menu. 2. Select View All Placements. You’ll land on the All Placements dashboard, showing placement-level performance across your selected date range. How It Works - Data is aggregated across all eligible campaigns - Each row represents a campaign + placement combination - Metrics include impressions, clicks, spend, CPC, sales, orders, CVR, ACOS, and ROAS - Use the date selector to analyze trends over specific time periods Understanding the Placement Categories Amazon divides your ad traffic into three distinct buckets, all of which are tracked in this view: - Top of Search (First Page): Sponsored Brands and Sponsored Products ads that appear on the very first page of search results. This usually has the highest CTR and CPC. - Product Pages: Ads that appear on product detail pages (where your competitors’ products live) and other "off-search" placements like the add-to-cart page. - Rest of Search: Ads that appear in the middle or at the bottom of search results, as well as on the second page of results and beyond. 💡 Tips for Best Use 1️⃣ Start With the Big Picture - See which placements drive results overall - Identify clear winners and losers before drilling down This helps you avoid optimizing in silos. 2️⃣ Compare Placements, Not Just Campaigns A campaign may look fine overall—but placements often tell a different story. - Strong Top of Search, weak Product Pages → shift bids - High spend, low sales in Rest of Search → consider lowering placement adjustments Placement-level insights lead to cleaner optimizations. 3️⃣ Use It to Guide Budget Reallocation Look for: - High ROAS or low ACOS placements → scale confidently - High spend with no sales → reduce exposure This dashboard makes it easier to move budget where it actually performs. 4️⃣ Pair With Placement Adjustments After identifying trends: - Adjust placement modifiers at the campaign level - Re-check performance after changes using the same view This closes the loop between insight → action → validation. 5️⃣ Monitor After Major Changes Review All Campaign Placements after: - Bid strategy updates - Budget increases or cuts - Seasonal pushes or promotions It helps confirm whether changes improved placement efficiency. 🚀 Why All Campaign Placements Matters Placement performance often explains why a campaign succeeds or fails. This view helps you: - See the full landscape, not just isolated metrics - Make smarter allocation decisions faster - Optimize with confidence instead of guesswork It’s another way Ad Badger helps you see both the forest and the trees. Need Help? 💬 Reach out to our Support Team anytime via the Live Chat bubble in the lower-right corner of the app.

Last updated on May 24, 2026

Search Trends - Share of Search Performance

Search Trends shows how much of Amazon search demand your brand actually captures—over time and at the keyword level. Powered by Amazon’s Search Query Performance (SQP) data, this report helps you understand where your brand is winning visibility, where competitors are ahead, and which search terms offer the biggest growth opportunities. With Search Trends, you can: - Track your share of impressions, clicks, and purchases - Monitor performance changes over time - Identify high-volume keywords worth defending or scaling - Spot visibility gaps before they impact revenue 📍 How to Access Search Trends - Click Analytics in the left-hand menu. - Select Share of Search (BETA) → Search Trends. You’ll see the Search Trends (Beta) page with keyword-level performance tied to your top-performing products.           How It Works Product Coverage - Search Trends automatically identifies your top 100 products by revenue - If a product doesn’t appear in the table or ASIN selector for a chosen date range, it means it was not among your top performers during that period. Data Refresh Cadence - Weekly reports are added every Sunday. - Monthly reports are added on the first day of each month. Viewing & Filtering Data - View data across All Products or select specific ASINs. - Use the date selector to compare performance across time periods. - Filter and search within the table to focus on specific queries or products. Understanding the Table Each row represents a search query–ASIN combination with the following key metrics: - Search Query – The customer keyword searched on Amazon - ASIN – The product receiving impressions - Product – Product title and image for quick identification - Search Query Score – Relative importance of the query based on Amazon SQP weighting - Search Query Volume – Total customer search volume for that keyword - Market Impressions – Total impressions across all advertisers and organic results These metrics help you understand both demand (volume) and visibility (impressions) at the keyword level. 💡 Tips for Best Use Get the most value out of Search Trends by using it as a decision-making tool, not just a reporting dashboard. 1️⃣ Review Trends Regularly (Not Just Once) Search visibility changes quickly. Check Search Trends: - Monthly for strategic planning - After major bid, budget, or listing updates - During peak seasons or promotions Consistent reviews help you spot issues before they impact revenue. 2️⃣ Start With All Products, Then Drill Down - Begin with All Products to understand overall brand visibility - Switch to specific ASINs to diagnose performance issues or wins This top-down approach helps you prioritize where to focus first. 3️⃣ Use Time Comparisons to Validate Changes Whenever you: - Adjust bids or budgets - Launch new campaigns - Optimize listings or pricing Use time comparisons to confirm whether those changes actually improved your Share of Search. 4️⃣ Watch for Early Warning Signs Look for: - Declining Brand Impression Share % on important keywords - Stable impressions but falling clicks - Strong clicks with weakening purchases These signals often appear before revenue drops. 5️⃣ Prioritize High-Volume, Low-Share Keywords High search volume + low Brand Impression Share usually means: - Competitors are winning visibility - There’s room to scale efficiently These keywords are often your biggest growth opportunities. 6️⃣ Pair Search Trends With Listing Reviews If metrics drop: - Low clicks → review images, titles, pricing - Low conversions → review bullets, A+ content, reviews Search Trends tells you where the problem is—your listing helps fix it. 🚀 Why Share of Search Matters Share of Search helps you see where you truly stand in Amazon search—not just how much you spend. By understanding visibility trends over time, you can invest confidently in the keywords that grow your market share, revenue, and brand authority. 🚧 Beta Notes - Data comes directly from Amazon’s SQP reports via SP API - Some keywords may be excluded due to Amazon reporting thresholds - Metrics and availability may evolve during the Beta phase Need Help? 💬 Reach out to our Support Team anytime through the Live Chat bubble in the lower-right corner of the tool.

Last updated on May 24, 2026

Cross-Marketplace: Performance (Beta)

The Cross-Marketplace: Performance dashboard allows you to view and compare key advertising metrics across all your connected Amazon marketplaces — all in one place. This helps you gain a clear overview of how your ads perform globally, identify trends, and make data-driven decisions faster. Note: This feature is currently in Beta. Your feedback during this phase is invaluable as we continue improving the dashboard. Accessing Cross-Marketplace: Performance 1. Click Dashboards in the left-hand menu 2. Select Cross-Marketplace (BETA) → Marketplace Performance Using Cross-Marketplace: Performance Compare Multiple Marketplaces - View all connected marketplaces to identify top-performing regions Analyze Over Any Timeframe - Use the date selector (upper-right corner) to choose custom ranges (e.g., last 7 days, last 30 days) - You can also enable time comparison in the date picker to compare performance between two different time periods — helping you quickly spot performance shifts. Sort and Filter Metrics - Click column headers to sort by spend, sales, ACOS, or other key metrics - To identify where attention is needed most, sort by ACoS increase to see which marketplaces have higher costs compared to the previous time frame. - Apply filters to focus on specific marketplaces or campaigns Track Trends and Make Decisions - Hover over charts for detailed metric values - Spot trends across marketplaces to guide campaign adjustments and budget allocation Tips for Best Use - Use time comparison regularly to understand performance changes between periods. - Export data for deeper analysis or reporting. - Check trends frequently to identify top-performing regions and optimize your strategy Need Help? 💬 Reach out to our Support Team anytime through the Live Chat bubble in the lower-right corner of the tool.

Last updated on May 24, 2026

Time Comparison: A Guide to Comparing Date Ranges

How to Use Time Comparison View: Getting started using Time Comparison in Ad Badger is as easy as 1 - 2 - 3. 1. Navigate to any* Ad Manager table view. 2. Use the enhanced Date Picker to select a range and a comparison period. 3. Enjoy expanded columns in your table! *Not yet available for the All Search Terms table. Using the Enhanced Date Picker 1. Use Shortcuts to select your primary range easily. 2. Use the Calendar view to select your primary range manually. 3. Use the Form Fields to set your primary range manually. 4. Check the 'Compare with' box to enter Time Comparison mode. 1. With the 'Compare with' checked, access the 'Compare To' dropdown. 2. Compare to Previous Period, Previous Month, Previous Quarter, or Previous Year. 3. Click the 'Apply' button to apply your new primary and/ or secondary date ranges. Reading Expandable Column Groups Once entered into Time Comparison mode, your Reporting Metrics columns will become expandable groups. Each group will contain four inner columns: - Value for the Primary Range - Value for the Secondary Range (Previous) - The absolute amount changed from the previous value. (Delta) - The percent change from the previous value. (% Change) Time Comparison Analysis Tactics One of the best use cases for Time Comparison is to answer questions related to the following:  - Find campaigns that have increased ACOS in the past month.  - Find keywords that had an increase in sales in the past week.  - Find keywords that had a sales decline in the past month. Let's check out that first use case. You could quickly identify campaigns with an increased ACOS by setting your primary range and compare to "Previous Month" in the All Campaigns table. Then just sort by ACOS - Delta and find your biggest offenders! Boost Analysis with Filters A great way to work Time Comparison into your workflow is to filter for changes you wish to track.  For example, filtering the All Keywords table for keywords with an ACOS - % Change > 0 will show you all your keywords with an ACOS increase for the time period selected.  That's all there is to it! Get Optimizing! Want to watch a video demo?

Last updated on May 24, 2026

How do I use Bids By Badger?

Bids By Badger (BBB) is Ad Badger's automated bidding tool for optimizing Amazon PPC campaigns. Using advanced algorithms and data, BBB ensures your bids are always at the ideal level to maximize performance and ROI, removing the guesswork from manual adjustments. It continuously fine-tunes your bids to align with your campaign goals and budget, resulting in increased efficiency, better ad placements, and more profitable campaigns while saving time and effort. To enable BBB, start by activating it at the campaign level. Once enabled, all targets within that campaign will also have BBB activated, setting the Target ACoS, minimum, and maximum bids at the ad group and keyword/target levels as well. You can make individual adjustments, turning BBB on or off and making changes at any of these levels, including specific items if needed. All adjustments must be made in the new Bids by Badger table mode. Below, you'll find a step-by-step guide on how to activate BBB at the campaign level and make adjustments at other levels using the table mode. NOTE: Using the "super search" at the top of the screen doesn't give you the option to enable Bids by Badger. In this document we will cover: 1. How to turn on Bids By Badger at the Campaign level 2. How to Access Bids by Badger Table Mode and Make Adjustments 3. Exiting Bids by Badger Table Mode and Returning to Ad Manager Mode How to turn on Bids By Badger at the Campaign level 1. Using the menu at the top of the screen, Click on "Ad Manager", Then choose "Campaigns". 2. Select the campaigns you want to enable BBB for by clicking the checkbox next to the campaign and clicking the  "Enable Bid Optimization"  button. 3. A pop-up menu will appear, allowing you to set your Target ACoS and choose your minimum and maximum bids. Think of the Min and Max bids as guardrails for Bids by Badger; the bid automation will never exceed these limits. Fill out these values and click "Enable bid optimization". (Note: The suggested Min and Max bids are based on the campaign's Average CPC over the last 30 days. The Min Bid is set at half the Average CPC, while the Max Bid is set at three times the Average CPC. Keep in mind that these are just recommendations.) 4. A pop-up will appear confirming your success.  5. Congratulations! You have successfully enabled your first bid optimization using Bids by Badger. Go ahead and close the pop-up. How to Access Bids by Badger Table Mode and Make Adjustments 1. Click the "Table Mode" button in the Ad Manager while viewing Campaigns, Ad Groups, Keywords, or Targets. This will allow you to enter the Bids by Badger table mode and make changes to the individual settings fpr BBB at any level. 2. Choose "Bids by Badger" to enter the table mode. 3. In Bids by Badger table mode, the table results will be shaded, indicating that you are in BBB mode. If the table is shaded, you're in BBB mode; if not, you're in the standard Ad Manager mode. 4. In BBB mode, you can modify your targets by selecting the checkbox next to the Campaign, Ad Group, Keyword, or Target you wish to adjust. A new set of buttons will appear: Enable/Pause BBB, Update Target ACoS, and Update Bid Limits. These options allow you to make individual or bulk changes as needed. 5. Selecting "Enable/Pause BBB" will either pause or activate the BBB algorithm on the selected target. A pop-up window will appear, allowing you to choose between enabling or pausing bid optimization. Make your selection and click "Update Bid Optimizer Status" to apply the changes. (Pro Tip: Alternatively you can click the Badger icon in the column labelled Bids by Badger to turn the automation on or off.) 6. Selecting "Update Target ACoS" will allow you to update the target ACoS. A pop-up window will appear, allowing you to choose your new target ACoS. Enter your target and click "Update Target ACoS" 7. The final option is "Update Bid Limits." Clicking this button allows you to adjust the bid limits for the selected item. You can set the limits to a specific number or adjust them by a specific amount or percentage. Once you've made your changes, click "Update Bid Limits" to apply your preferences. | | | Exiting Bids by Badger Table Mode and Returning to Ad Manager Mode 1. There are two ways to leave BBB mode.   2. Click the "x" next to the words "Bids by Badger" above the table. 3. Or use the table mode selector and choose "No table mode" In this document we covered everything you need to know about using Bids By Badger (BBB) to boost your Amazon PPC campaigns.  We walked through enabling BBB at the campaign level, setting your Target ACoS and bid limits, and making adjustments in the Bids by Badger table mode. We also explored how to pause or update BBB, tweak your Target ACoS, and adjust bid limits, as well as how to switch back to the regular Ad Manager mode.  With these steps, you'll be well-equipped to efficiently manage and optimize your bids for better performance and profitability. Questions?  If you have any additional questions, contact us at thebadger@adbadger.com.

Last updated on May 24, 2026

How to Choose the Right Saved Filters for Ultimate Performance?

Saved filters in Ad Badger software allow users to quickly access specific sets of data by storing their frequently used search criteria. This feature streamlines the process of managing and analyzing ad campaigns, helping users to efficiently track performance, optimize bids, and adjust strategies without manually setting up filters each time. By utilizing saved filters, advertisers can save time, maintain consistency, and enhance their overall productivity. Here are some examples: | Filter Category | Filter Type | Criteria | Purpose | Recommended Action | | Keyword + Targets | High Spend, No Orders | Spend > 15 Orders = 0 Usually, 30 day time frame | Keep your campaigns efficient, ensure we're not wasting spend | Potentially Pause these KW's, decrease bids, or reduce max bid cap in Bids by Badger | | Keyword + Targets | High Orders | Orders =>5 in a 30 day timeframe | Ensure our top keywords/targets have visibility, ample bids | Ensure not budget limited, ensure we're not bid capped, ensure the ACOS is where you want it | | Keyword + Targets | High ACOS KW's | ACOS > 75% Clicks > 10 Usually over 30 days | Find our highest ACOS KW/Targets | Potentially Pause these KW's, decrease bids, or reduce max bid cap in Bids by Badger | | Search Terms | Negative KW Finder | Clicks > 25 Orders = 0 | Find expensive search terms that haven't converted, find new negative exacts | Consider these to be added as ad group negatives | | Branded | Branded keywords | Keyword contains brand name | Ensure your bids are where you want them, no overspending | optimize for low ACOS | | Non-Branded | Non-branded Keywords | keyword DOES NOT contain branded name | Ensure that our branded keywords aren't saving our non-branded traffic...i.e. what is my ACOS for non-branded traffic | Have 2 goals (one for branded VS non-branded | | Competition Keywords | Keywords of your competitors | keywords contains = competitor name, keyword contains competitor name | To identify and leverage relevant and high-performing keywords used by competitors | enhance the visibility and competitiveness of your own product listings through strategic ad targeting | | Low impressions | Keywords with low impressions | Impressions > 0, Impressions <5000 | Viewing low-impression keywords helps identify untapped potential and optimize your targeting for better results. | Should I increase bids for these KW's to get data, am I indexed for them | | Campaign Bidding Strategy | View Campaigns by bidding strategy on Amazon | Filter for different bidding strategys i.e. 'Up & down' & down only & fixed bids | See how each bidding strategy is doing | Shows how bid adjustments affect conversions, helping you choose an aggressive or conservative approach. | | No Negatives | Campaigns with no negatives on the campaign or ad group level | Campaign negatives = 0, Ad group negatives = 0 | Look for opportunities to add negatives | Run NKW Nightly Hunt | | Search Terms by Match Type | No orders with Match type of Broad | Orders = 0, Match Type = Broad | Look for keywords that can be graduated (RPSB) | Run PKW Nightly Hunt |

Last updated on May 24, 2026

How do I use Tags on Ad Badger?

Enhance your Ad Badger experience with tags! Ad Badger's tagging feature allows you to categorize and organize your advertising entities efficiently. Easily track, filter, and manage your portfolios, campaigns, ad groups, keywords, negative keywords, and product ads with customizable tags, ensuring you stay organized and maximize your PPC performance. Ready to optimize your ad management? Here’s a quick guide on how to use tags in Ad Badger! Add a Tag 1. Navigate to the Ad Manager to any of the following entities: portfolios, campaigns, keywords, campaign negative, negative keywords, negative targets, or product ads. Basically, everything except search terms can be tagged. We will be using the "Keywords" section for our examples. 2. Select one of the entities (keywords) by clicking the check box next to any of the keywords. 3. Then, click the "TAGS" button. 4. The "Manage Tags" screen will appear on your screen. To Create a new Tag click "Create New Tag". 5. Choose a Name and add a description if you would like. The Description field is not mandatory. 6. You may also choose a color for the tag by clicking on the palette button OR use "Randomize" to pick a random color for the tag.  7. Once you have added a name you can click "Save Tag" and the tag will be saved and added to your list of tags. These tags can be used in any of the Ad Manager sections where tagging is available. Apply a Tag to an Entity 1. To add a tag to an entity, first select the entity you wish to tag using the checkbox to the left of the item. 2. Then, click the "TAGS" button. 3. Click the checkbox next to any of the tags that you wish to apply to the entity (a keyword in this case). You may choose as many tags as you wish here. 4. Finally, click "Apply Tags" to apply these tags to the entity. Alternatively, if you have chosen tags in error you can click "Reset Selection" instead and the tag selection will return to the original choices from before you made any changes. 5. Congratulations! You have successfully applied your first tag. Detach a Tag 1. To detach a tag from an entity, first select the entity you wish to untag using the checkbox to the left of the item. 2. Then, click the "TAGS" button. 3. Click the checkbox next to any of the tags that you wish to detach from the entity (a keyword in this case). This will remove the checkbox 4. Finally, click "Apply Tags" to detach these tags from the entity. Alternatively, if you have detached tags in error you can click "Reset Selection" instead and the tag selection will return to the original choices from before you made any changes. 5. The tags have now been detached from the keyword. Edit a Tag 1. To edit a tag, first select any entity to bring up the "TAGS" menu. 2. Then, click the "TAGS" button. 3. Choose the tag you wish to edit and click the "pencil" icon next to it. 4. This brings up the "Edit Tag" screen. From here you can change the name of the tag, the description or the color. This is done the same way as in the first section titled "Adding a Tag".  5. Once you have made your changes click "Save Tag". If you made a mistake just click "Cancel" and all of your changes will be discarded. Delete a Tag 1. To delete a tag, first select any entity to bring up the "TAGS" menu. 2. Then, click the "TAGS" button. 3. Click the "Trash can" icon next to any tag to delete that tag. This will delete the tag and remove it from all entities.  4. When you click the "trash can" icon another screen will come up with a warning "This operation cannot be undone. Are you sure you want to delete this tag?". Be sure you wish to remove this tag from all entities in the app before proceeding. If you are certain you want to do this click "Delete Tag". 5. Task complete. The tag has been deleted and removed form all entities in the Marketplace. Filter by Tag(s) You may have noticed by now that there are tags showing in the table. These tags are a powerful way to organize your data and streamline your workflow. Now, I'll explain how you can filter by tags to quickly find exactly what you're looking for, making your ad management even more efficient. 1. Click the "Filter" button from the Ad Manager screen that you are using. 2. From here, choose the Column called "Tags". Then, select an Operation. You have two choices here: "Is any of" and "Is empty". 3. If you choose "Is Empty" this will filter your results down to everything that DOES NOT have a tag. Alternatively you can choose "Is any of" and pick one or more tags to filter your results by. Choose the values you wish to filter by. 4. Click "Add Filter". You can also choose to add other filters at this time. Once you have made your selections, click "Apply Filters". 5. And now your table will show you the results that you specified in your filter selections. In this guide, we've explored how to effectively manage tags within Ad Badger to optimize your PPC campaigns. Starting with Adding a Tag, we've walked through the basics of assigning tags to your entities, enhancing your organizational capabilities. We then covered how to Apply and Detach a Tag to an Entity, ensuring you can swiftly update your tagging as needed. Next, we discussed Editing a Tag to maintain accuracy and relevance in your tagging system, followed by instructions on Removing a Tag and the process for completely Delete a Tag when they're no longer needed. Finally, we wrapped up with steps on Filtering by Tag(s), allowing you to efficiently sift through your data to find exactly what you need. By mastering these steps, you’ll be able to leverage the full power of tags to keep your ad campaigns organized and running smoothly. Happy tagging!

Last updated on May 24, 2026

How do I add Negative Keywords in Ad Badger’s Software?

Negative keywords play a crucial role in refining your advertising campaigns and ensuring your ads are shown to the right audience. In Ad Badger, you can incorporate negative keywords at the Ad Group level to improve the performance of your campaigns. Note: It's important to understand that, as of now, Ad Badger only supports manually adding negative keywords at the Ad Group level. Accessing Negative Keywords in Ad Badger (Option 1) 1. Log in to Your Ad Badger Account: Start by logging in to your Ad Badger account.  2. Select Your Campaign: From your Ad Badger dashboard, choose the specific advertising campaign to which you want to add negative keywords. 3. Select your Ad Group 4. Navigate to the Ad Group Level: - In Ad Badger, negative keywords are added at the Ad Group level. To access the Ad Group level, click on the campaign you selected. 5. Locate Negative Keywords Section: - Once you're inside the Ad Group, find the "Negative Keywords" section. Create Negative Keywords:  Click on the "Create Negative Keywords" button within the "Negative Keywords" section. Enter Negative Keywords:  1. Depending on your strategy, you can specify match types (e.g., negative exact, negative phrase) for your negative keywords. Be VERY careful adding negative phrase keywords. 2. Input the keywords that are irrelevant to your campaign's goals  3. Click "Add Negatives" 4. After entering the negative keywords and match types, save your changes to apply the negative keywords to the selected Ad Group by clicking "Create Negative Keywords" Adding Negative Keywords from 'Search Terms' Screens (Option 2) 1. Access 'Search Terms' Screen: - You can add negative keywords directly from any of the 'search terms' screens within Ad Badger. 2. Select the Term to Block: - Identify the search term that you wish to add as a negative keyword. 3. Click "Block Search Terms": - Click on the "Block Search Terms" option associated with the selected search term. 4. Choose your match type 5. Choose whether to block in the source ad group or a different one. 6. Click 'Block Search Term' Using the Negative Keyword Nightly Hunt (Option 3) How do I Use the Negative Keyword Nightly Hunt tool? Best Practices: 1. Always review your negative keywords to ensure they align with your campaign goals. 2. Continuously monitor your campaign's performance to identify new negative keywords. Conclusion: By following these steps, you can effectively add negative keywords at the Ad Group level in Ad Badger to optimize your advertising campaigns and reach the right audience. Note: If you have further questions or encounter issues, feel free to reach out to Ad Badger's customer support for assistance.

Last updated on May 24, 2026

How do I Pin Columns?

One of the lesser-known yet incredibly useful features of Ad Badger is the ability to pin columns in its interface. This feature enhances the user experience by allowing for more efficient data analysis and management. In this article, we’ll explore what column pinning is, its benefits, and how to effectively use it in Ad Badger. What is Column Pinning? Column pinning is a feature that allows users to "pin" or "freeze" certain columns within a table view. In the context of Ad Badger, this means you can select specific columns of data that remain visible on the screen as you scroll horizontally through your campaign data. This is particularly useful when dealing with extensive sets of data, where key columns such as 'ACoS' (Advertising Cost of Sale), 'Impressions', or 'Clicks' are critical to your campaign analysis. The Benefits of Column Pinning in Ad Badger - Enhanced Data Visibility: By pinning important columns, you keep vital information in view at all times, which is crucial when comparing data across a wide table. - Improved Efficiency: It saves time and reduces the need to constantly scroll back and forth to reference important metrics. - Customized Data Analysis: Each user can pin columns that are most relevant to their specific analysis needs, allowing for a more personalized approach to data evaluation. - Reduced Errors: Having key data always visible minimizes the risk of overlooking crucial metrics, leading to more accurate campaign management decisions. How to Pin Columns in Ad Badger 1. Access Ad Manager:  2. Access your Ad Badger account and proceed to the Ad Manager section where your Amazon Advertising data is presented. From there, select the option that corresponds to where you'd like to pin the columns. 3. Identifying Key Metrics: Determine which metrics are most important for your campaign analysis. These could vary based on your campaign goals, whether it’s maximizing visibility, profitability, or managing ACoS. 4. Pinning the Columns: Locate the column you wish to pin and hover over the column header. A 'three dot' menu should appear. Click on the menu and an option to 'Pin Left' and 'Pin Right' will appear. Select one of these options, and the column will be fixed to the left (or right) side of your table view. 5. Adjusting Pinned Columns: You can pin multiple columns as needed.  6. Unpinning Columns: If you need to unpin a column, simply select the 'three dot' menu again and select the 'Unpin' option. Best Practices for Column Pinning - Prioritize Metrics: Always pin the most critical metrics first. For instance, if you’re focused on budget control, pinning the 'Spend' column might be a priority. - Review Regularly: Your campaign focus may shift over time, so review and update your pinned columns periodically to reflect current objectives. - Combine with Filters: Use pinned columns in conjunction with filters for even more efficient data analysis. - Training and Onboarding: Ensure that new team members are trained on this feature to enhance their efficiency in managing campaigns. In conclusion, the column pinning feature in Ad Badger is a simple yet powerful tool for Amazon advertisers. By allowing for a more streamlined and customized data analysis process, it enables advertisers to manage their campaigns more effectively and make informed decisions. As you continue to navigate the complexities of Amazon Advertising, leverage this feature to enhance your campaign management strategy.

Last updated on May 24, 2026

Bid Change History

When it comes to gaining valuable insights into your ad campaign's bidding history, Ad Badger's Ad Manager offers a robust and user-friendly solution. Here's how you can delve into the Bid Change History feature with ease: Inside Ad Badger there are three ways to get Bid Change History for any keyword or target in your campaign.  The first is inside Ad Manager and clicking on a specific keyword or target: The second way is to go to the Ad Group level in Ad Manager. We list the History of Bid Changes for every keyword and target in that Ad Group: Our new tool History allows you to view Ad Group, Keyword and Target changes: For the Ad Group Default Bid Change History this is where we would list any changes to the Default Ad Group bid. The Keyword Bid Change History lists every keyword Bid Change across your entire account, every campaign, and every ad group. The colums within that data set, that are clickable, are Change Date (when we detected a change happened), Keyword Text, Ad Group Name, Campaign Name and Portofilio Name. You can click on any of those columns and be taken to that area in Ad Manager. Details will give you more info about the bid change itself.  ☞ Remember clicking on an ℹ︎ symbol will open a popup that displays more information. Change source will list the methods of how your keyword was changed. If you see Bids by Badger, that will let you know that the bid was changed by the algorithym. Some great ways to use this screen is finding bid changes for a specific keyword that contains a cerain word, like shoes for example: If you want to find things that have had a postivie change for example you can filter Another handy filter is "show me all of my keywords being optimized for a Target ACOS of 20%": And these can all be applied to Targets as well: We really hope you enjoy using this new feaature. If you have any support related questions please feel free to reach out to support@adbadger.com. If you need help with PPC you may contact PPC@adbadger.com.

Last updated on May 24, 2026

How does Ad Badger handle Total ACOS?

Total ACOS (Advertising Cost of Sales) is a metric used by Amazon sellers to evaluate the effectiveness and profitability of their paid advertising campaigns relative to their organic sales. This measure gives sellers an idea of the proportion of their sales that is going towards advertising. To calculate Total ACOS, you need to take your total ad spend and divide it by your total sales revenue. This figure is usually expressed as a percentage. The lower the ACOS, the higher the return on ad spend (ROAS), which is generally favorable for sellers. It should be known that this is not an official Amazon metric and is typically calculated differently by different companies. In September 2022, Ad Badger released its Product Dashboard which does the following: - Calculates how much ad spend, ad clicks, and ad revenue for your Sponsored Products & Sponsored Display campaigns per product. - Then, we grab your ASIN's total sales using the SP-API. This link is currently only available to Amazon Sellers, not Vendors. - We can then calculate your organic sales & Total ACOS. Other common questions: Why don't I see Total ACOS Per Keyword: You cannot have a Total ACOS per keyword because Total ACOS is a per-product, not a per-keyword metric. For example, you may a keyword that advertises 10 different products, and you cannot determine which product-keyword combination earned organic sales. By keeping the Total ACOS values in our Product Dashboard, you can identify your high Total ACOS products, and begin to optimize your keywords using this information. Here is a good rule of thumb: 1. Your products have a Total ACOS, and you can use this information to set individual keyword target ACOS. 

Last updated on May 24, 2026

How Do I Find and Manage Duplicate Search Terms With The Duplicate Hunter in Ad Badger?

Duplicate search terms can be a common issue for Amazon PPC campaigns, but they are also a missed opportunity for maximizing sales. Fortunately, finding and managing these duplicates is easier than ever before thanks to tools like the Duplicate Hunter.  In this article, we'll explore the benefits and drawbacks of duplicate search terms, when to negate them, and how to find them using Ad Badger's tool. What are Duplicate Search Terms? Duplicate search terms occur when the same keyword appears in multiple Amazon PPC campaigns or ad groups.  For example, if you have "mason jars for overnight oats" as a search term in both automatic sponsored products and manual sponsored brand campaigns, you have a duplicate search term. What are the Benefits of Duplicate Search Terms? Having the same search term in multiple campaigns can have benefits, such as ensuring good coverage across sponsored products, sponsored brands, and sponsored display campaigns.  This can help maximize the value of high-performing terms. Additionally, having multiple products appearing for the same search term can boost sales volume and push out the competition. What are the Drawbacks of Duplicate Search Terms? Duplicate search terms may not perform the same in every campaign type, and some products may not be relevant or convert well for a specific search term.  This is where managing duplicates becomes important. When Should I Negate Duplicate Search Terms? If a search term performs poorly in one campaign but well in another, consider negating it in the poorly-performing campaign and keeping it in the high-performing one. This will funnel more traffic to the high-performing campaign. When Should I Promote Duplicate Search Terms? If a search term is performing very strongly in one campaign, consider promoting it by adding it to another campaign with the same product. How Do I Use Ad Badger’s Duplicate Hunter Tool? Ad Badger's Duplicate Hunter is an easy-to-use tool that scans through all of your Amazon PPC campaigns and ad groups to find duplicate search terms.  Here's how to use Ad Badger’s Duplicate Hunter Tool: 1. Log in to your Ad Badger account and click the "Targeting Tools" tab. 2. Click on the "Find Duplicate Search Terms" button. 3. Ad Badger will initiate the scan, which should take no more than 20-30 seconds. 4. Once the scan is complete, you'll see a list of all the duplicate search terms found in your campaigns. 5. Ta-da! That’s it! Conclusion Managing duplicate search terms is an important part of keeping your Amazon PPC campaigns in check and maximizing sales.  By using Ad Badger's Duplicate Hunter tool and following the tips outlined in this article, you can easily find and manage duplicate search terms in your campaigns. Questions? If you have any questions or need assistance, please do not hesitate to reach out to our support team via chat or at thebadger@adbadger.com.

Last updated on May 24, 2026

How Do I Use Filters in the Ad Badger Software?

The easiest way to sort your data in a preset way  About Insight into one of Ad Badger’s most powerful features, Ad Badger Filters. We take a quick look around the tool and determine how and why you would use filters in Ad Badger. We will also show you how quickly creating and saving your custom filters is. Why use filters? So you got a lot of data, now what? Freak out? Export? No, just jump into Ad Badger and let us help you crunch that data. - Advantages of using Ad Badger filters How to use filters This is where the proverbial rubber hits the road. First steps first, we need to decide what data we want to see.  - What do we sort by?  - It all starts with the Green “VIEW ALL” button. - Filters to sort by - What data do we want to see? Do we want to see active, paused, number of clicks, ACOS? - Data Goals - What is the purpose of the filter you are trying to create? How to create and save filters  It’s like having a superpower. It takes a second to harness your new powers, but once you do, watch out, Amazon data, you’re mine! - First steps first - Once in the Ad Badger system, Click on “AD MANAGER” in the top nav. - Super Search - Next, click on the “VIEW ALL” green super search button in the top left corner. - Select Metrics - This is where you create the recipe for the perfect data set. - Use it or Save it - Is this a one-time search or a search you will repeat? This step allows you to run or save your filter. You have two options: - “SAVE AS FILTER SET” = Saved and repeatable filter in “My Filters” area - “APPLY FILTERS” = One-time use filter - The Badger being the Badger - The Badger has created some prefilled filters for you for some of our most commonly used filters. - Name your filters - Add text cues to your custom filters for easy identification and reference. Are you a visual learner? Check out Michael Erickson Facchin’s video about filters here.  Questions? If you have any additional questions, contact us at thebadger@adbadger.com.

Last updated on May 24, 2026

Does Ad Badger Have Rules like IFTTT or "If/Then" for Bidding?

Currently, Ad Badger does not have bidding rules, but they are in development. Some important notes: - Our Bidding Algorithm is powerful and **effective. **We optimize over 1,000,000 bids per day, so you're in safe hands with our algorithm. - You can customize the algorithm to fine-tune it, giving you the power of an algorithm with the customization of a rule. - Once released, you will be able to create 'If This, Then That' rules for scenarios like: "For this Keyword, decrease bid 15% if the ACOS is over 50% every Monday." In late 2022, you'll be able to create 'If This, Then That' rules for things like: - For this Keyword, decrease bid 15% if the ACOS is over 50% every Monday. If this feature is essential to you, but you want to join Ad Badger for our other powerful Amazon PPC tools, contact us, and we’ll come up with a custom price for you until we roll out this update. Lock in a great price for life and avoid future price increases. During major releases, we increase prices, but only for new customers. So, contact us and lock in a price today. You might wonder, "If Ad Badger doesn't have rules, how does it manage bidding?" Here's the truth: We have one of the most advanced and nuanced bidding algorithms out there, Bids by Badger™️. It's led to some pretty amazing results: https://www.adbadger.com/case-studies/. And we did all this without the rule builder. We optimize over a million keywords per day with our bid algorithm.  What's better yet - you can CUSTOMIZE the bidding algorithm to your specifications. If you think a keyword shouldn't go above or below a certain keyword, you can make it so. Learn more about how you can customize and fine-tune the algorithm unlike any other tool out there here: https://help.adbadger.com/article/42-setting-bid-limits-for-bids-by-badger Questions?  If you have any additional questions, contact us at thebadger@adbadger.com.

Last updated on May 24, 2026

Why is Data Different in Ad Badger than Amazon?

Most Common Reason Your Data is Different in Amazon Vs. Ad Badger A common question users have when using Ad Badger is, “Why are my ad spend, clicks, or revenue different in Ad Badger than in Amazon for the same time frame?” This has a lot more to do with Amazon than it does Ad Badger– or any Amazon tool you might use. Amazon’s Advertising API, which Ad Badger and other tools use, calculates data differently than Amazon’s Advertising Console or Seller Central does. Is this bad? Not exactly. Ad Badger has access to additional data metrics not found inside Seller Central. For example, Ad Badger is able to pull in extra data points like 30d conversions that illustrate 30-day conversions with a single click. Another point of difference is data delay. As you know, if you look at January’s revenue on February 1st, the numbers will be different than if you review it on February 15th. This happens in both the Advertising API and Seller Central. Amazon reports different data points and processes data differently in both. In short, the data difference is usually so small that there is no need for concern. 48 Hour Data Delay Amazon Advertising has a notorious 48 hour (sometimes 72 hour) data delay. This makes data from today, yesterday, and a bit of the day before unreliable. You will often see just a quarter of your orders for ""today"". To account for this data delay, Ad Badger works this data delay into our app. So if you are looking at data that includes the past 48 hours, it might look different than Amazon. We do incorporate this delay into all of our optimizations, to ensure we're making changes based on the best data. Attribution Windows What happens when a customer clicks on your ad on Monday, but doesn't buy until next Sunday? This is known as an 'attribution window' in which an order can happen and it would be attributed to the initial click. While this 'attribution window' is open, there may be a slight different between Ad Badger & Amazon. The attribution difference is typically only 1-2%. Ad Badger re-downloads your data to pull in the fresh attribution data on a regular basis, which eliminates the attribution difference. Attribution Windows on Sponsored Products Placement (Top of Search, Rest of Search, Product Pages) Fun fact about Amazon's data: the placement data we receive is set to a 14-day attribution window, where the 'normal campaign summary' is on a 30-day attribution window. It's our philosophy to use the longest attribution window wherever possible, so you never make decisions that potentially miss out on sales! You will notice slight differences between your placement summary (top of search + rest of search + product pages) due to this attribution window, but it is typically the same, or within 1% of each other. Amazon's Own Data Differences in their API, Search Term Reports, and Interface The information in Ad Badger (and every app) is slightly different than Amazon Ad Console. It’s because of Amazon, not The Badger. We get our data directly from Amazon’s Advertising API. The data itself is different. Fun Fact: the data you see in Amazon’s Ad Console is different than Amazon’s own API, as well as their downloadable search term reports, etc.. They simply have different data processing for different sources. It’s close, and if you ever notice it being significant, let us know. For sponsored products, Ad Badger uses a 30-day window, compared to the Amazon Ad Console attribution window of 14-days. We believe this gives you the most accurate data and reduces the risk of negating a keyword or downbidding on something that wasn’t reported on Amazon, but you indeed have sales for. This means that Ad Badger will have more conversion data available than Amazon’s Ad Console. Do note: we get this data directly from Amazon. We don’t know why they chose to display a shorter attribution window, but we assure you our data is accurate, and directly from Amazon’s API. For the product performance dashboard, Ad Badger uses same-sku attribution, to show you the purchases made on the product that received the sale. Questions? If you have questions, please contact us at support@adbadger.com.

Last updated on May 24, 2026

What is Ad Badger's Billing Policy?

1. Free Trial? 2. Money-Back Guarantee? 3. Software Opt-Out Policy 4. Refund Policy 5. Subscription Renewals 6. Ad Spend Overage Fee Policy Does Ad Badger have a free trial? No, Ad Badger does not have a free trial. We offer a 60-day opt-out period, though; please read below. Does Ad Badger have a money-back guarantee? Due to the high level of custom collaboration and support provided with our software, Ad Badger does not offer a money-back guarantee. We stand by our work. Does Ad Badger offer an opt-out on the software? As of January 25th, 2021, all new software plans of six or 12 months are able to opt out. You will receive a refund of the unused months back to the original method of payment, minus the Stripe processing fee. Please read our refund policy below. What is Ad Badger's refund policy? Refund Eligibility New subscribers only: You have 60 days to try our service risk-free. If you're not satisfied, you can cancel and receive a refund for unused months. How It Works - 6-month plans: Refund for 4 unused months (after 60-day minimum) - 12-month plans: Refund for 10 unused months (after 60-day minimum) - Processing fees: Stripe processing fees are deducted from refunds - Payment method: Refunds return to your original payment method Refund Requirements 1. 60-day minimum usage - You must use the service for at least 60 days 2. Contact support - Reach out to Badger support to start the process How to Request a Refund To initiate a refund, kindly reach out to Badger support. They'll be happy to assist you by providing the opt-out form and a link to schedule a call. Please note that refunds may only be processed once our prescribed procedure has been completed. Why was I charged again? All of our plans operate on a subscription basis. Important: To stop charges, you must cancel your subscription. To avoid future billing, you need to actively cancel your account subscription. If you don't cancel, you will continue to be charged according to your plan's billing cycle. Our opt-out process is designed to be clear and straightforward.** If, for any reason, you choose to disregard it, please be aware that we cannot be held responsible for any additional fees incurred. **Your attention to this matter is greatly appreciated. What is Ad Badger's Monthly Ad Spend Overage Fee? When Overage Fees Apply You'll be charged an overage fee when your monthly ad spend exceeds your plan's limit by more than 10%. Example: If your plan includes $25,000/month in ad spend, you won't pay extra until you exceed $27,500 (the 10% buffer zone). How It Works - Monthly review: We check your ad spend at the beginning of each month - Automatic billing: Overage fees are automatically added to your account - Recurring charges: You're charged each month you exceed the 10% buffer Overage Fee Amounts The fee equals the difference between your current plan and the plan that covers your actual spend, plus a premium. Examples: - Basic Badger (Annual) - $25k/month limit: $187 overage fee - Professional Badger (Semi-Annual) - $75k/month limit: $256 overage fee Check Your Ad Spend View your current ad spend in the Billing Overview section under Settings in your Ad Badger app. Need to Upgrade? To upgrade your ad spend tier and avoid overage fees, contact us at thebadger@adbadger.com. Questions? If you have any additional questions, contact Badger Support at thebadger@adbadger.com.

Last updated on May 24, 2026