Ad Badger Software

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. How to Find This Profits Data in Amazon Seller Central To cross-reference your Ad Badger metrics against your actual Amazon ledger, you can find the native ground-truth data inside Seller Central using either of the following methods: - Direct URL: sellercentral.amazon.com/economics - Menu Navigation: Open the main menu in Seller Central and go to Menu ➡️ Reports ➡️ Selling Economics And Fees ➡️ Profit Analytics. 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.

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.

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.

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.

Requesting Amazon Marketing Cloud (AMC) Access

How to Get Started Want access to Amazon Marketing Cloud? Just fill out this form and we'll help get you set up. What You Need to Know Where you'll find AMC: AMC lives inside Amazon Marketing Cloud in your Amazon account - not in Ad Badger. You'll access it directly through Amazon's platform. Getting help: Our software customers get 1-on-1 coaching to help create AMC audiences and optimize your strategy as part of our hourly support available for purchase, or attend one of our included office hours calls.    Want AMC in Ad Badger? If you'd like to see AMC audiences integrated into Ad Badger, drop a feature request at adbadger.com/roadmap. What Happens Next After you submit your request, we'll review it and guide you through the setup process. AMC access usually takes 5-10 business days once approved.   Ready to get started? If you're an Ad Badger Software client, contact support with "AMC Request" in the subject line, and we'll take care of the rest.

How to Take Bulk Actions inside Ad Badger

How to Use the Bulk Actions Menu: Taking bulk actions in Ad Manager tables is easy if you follow these steps: 1. Select the row or rows for which you want to take action. 2. Locate the Bulk Actions menu button in the top left corner of the table. 3. If you do not see the button, there are no bulk actions available on the table you are viewing. 4. Select the action you wish to take and follow the prompts. Tips for Selecting Rows There are many ways to select rows in Ad Badger tables! Here are some of our favorites: - Select a single row's checkbox to select that row. - Select a row's checkbox, hold down the "Shift" key, and select a lower row's checkbox to bulk select those two rows and all rows in between. - Select the checkbox in the table's header to bulk select all rows on the page. - Click anywhere in the row (except on a link) to select that row. Want to watch a video demo?

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?

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.

What is ACOS Power Ratio?

Watch the video below to learn about ACOS Power Ratio

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 |

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!

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.

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.

Displaying the Euro Symbol Correctly in Excel with Ad Badger CSVs

When opening CSV files downloaded from Ad Badger software in Excel, you may notice that the euro currency symbol (€) is incorrectly displayed as €. This is due to a difference in character encoding between the CSV file and Excel's default settings. Here is the way to ensure the euro symbol displays correctly: 1. Launch the Text Import Wizard: 2. Open Excel. 3. Go to the Data tab. 4. In the Get External Data section, click From Text/CSV. 5. Locate and select the UTF-8 file you want to import. 6. Click Import. 7. Specify File Origin and Delimiter: 8. In the Delimiter section, select Comma delimited. 9. Under File Origin, choose 65001: Unicode (UTF-8) from the dropdown list. 10. Click Load. If you have further questions or require additional assistance, don't hesitate to reach out to our PPC team. We're here to help you make the most of your campaigns!

The Negative Keyword Nightly Hunt

Check out our walkthrough video below: https://www.youtube.com/watch?v=aHBdedQ2kGA If you have any questions, let us know!

Getting Started with Ad Badger: How Bidding Works

I am unable to view the history for the changes shown on the bid optimization dashboard. How do I view them?

To access and review changes made inside the account for a specific keyword, follow these steps: 1. Navigate to the campaign associated with the keyword. 2. Within the campaign, locate the ad group related to the keyword you are interested in. 3. If there is only one ad group, as in the case of Sponsored Brands, proceed to enter that ad group. In summary, to see the modifications made for a particular keyword, go to the respective campaign, find the relevant ad group (in the case of Sponsored Brands, there's typically only one ad group), and then access that ad group to examine the changes.

How Many Filters Can I Use?

The great thing about Ad Badger is you can choose as many filters as you want. There is no limit!

I'm attempting to view all keywords associated with a particular portfolio

To review all the keywords linked to a specific portfolio, utilize our Ad Manager tool. It provides a comprehensive overview of your keywords and targets. You can streamline your search by applying filters based on the portfolio you're interested in, making it easy to access and manage the specific data you're looking for. If you have further inquiries or need additional assistance in navigating the Ad Manager for portfolio-specific insights, feel free to reach out. We're here to help you make the most of your Ad Badger experience!

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.

How Often Does the Software Adjust Bids?

Our software is designed to ensure that your bids are constantly optimized to enhance your campaign's performance.  Here's how it works: 1. Daily Bid Updates: We utilize our Bids by Badger Algorithm to update bids on a daily basis. This algorithm evaluates the expected revenue versus the cost of each keyword. This regular optimization process ensures that your bids remain competitive and effective. 2. Frequency: While we can't specify the exact number of times the software updates bids each day, rest assured that it's a continuous process aimed at keeping your campaigns in peak condition. Our software takes into account keywords that may not have received clicks. Here's what you need to know: - Automatic Bid Adjustments: The software will automatically raise bids on keywords that haven't received clicks but are still deemed valuable based on the algorithm's evaluation. - Campaigns with No Data: If your entire campaign has no clicks, no orders, and every keyword lacks data, we recommend manually increasing the bid to a range of 1-2 dollars to kickstart data collection and optimization. For more in-depth information on how Ad Badger software manages bids, you can refer to our comprehensive guide here: Ad Badger Software Bidding Guide. If you have further questions or require additional assistance, don't hesitate to reach out to our PPC team. We're here to help you make the most of your campaigns!

Is there a keyword ranking tracker?

Yes! We're excited to announce that Ad Badger now includes a Keyword Rank Tracker. This tool helps you monitor your organic and sponsored rank for your most important keywords, giving you a clear view of your product's organic visibility on Amazon. You can access the new Rank Tracker directly in your account here: Go to Rank Tracker Results

Sick Badger Error Message

We never like our tools to let you down. Unfortunately nothing is perfect (even if we try to be). If you are receiving the Sick Badger error message: There are a few actions you can take: 1) Refresh the page 2) Ensure Ad Blocker is not enabled 3) Log out and log back in If none of these work, please "Report this Error" and contact us at thebadger@adbadger.com. Please include the campaign you are looking at, the marketplace, and what action you are performing in your message. 

Is there a way to see which search terms the keyword harvesting tool has added?

Absolutely, you have the ability to view the keywords that the tool has added for you. To do this, simply head over to your History tab. Within the history tab, you'll find a comprehensive record of all the changes and updates made to your campaigns.  By checking your history tab, you can easily identify the specific keywords that have been incorporated into your campaigns. This offers a transparent view of the tool's contributions and the impact it's having on your campaign's keyword landscape. Feel free to explore the history tab to stay informed about the keywords added by the tool and any other changes to your campaigns. If you have any more questions or need further assistance, the Ad Badger team is here to help!

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. 

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.

What do I do if I have a product missing from the Product Dashboard?

If there's a product missing from the Product Dashboard, your product must be in your top products with sales from their Sponsored Products or Sponsored Display campaigns. Questions? If you have any additional questions, contact us at thebadger@adbadger.com. 

Can I Create Never Negatives in Bulk on Ad Badger?

Never Negatives allow you to inform the Negative Keyword Nightly Hunt to prevent adding a search term as a negative *even* if it meets the requirements of your NKW nightly hunt rule.  Can you add Never Negative in Bulk? Well, this depends on how you define your bulk action. - Bulk definition 1: Adding several never-negatives at once to the same location is not possible. - Bulk definition 2: Adding one never-negative to many locations at once **is **possible. How Do I Add 1 Never Negative in Bulk? To add one Never Negative to many ad groups at once, leave the 'campaign and ad group' selection blank when creating a Never Negative, as shown below. Questions? If you have any questions or need assistance, please do not hesitate to reach out to our support team at thebadger@adbadger.com

How to Create, Apply, and Save Custom Filters

When you are managing large campaigns, sorting through hundreds of rows of search terms or keywords can quickly become overwhelming. Instead of exporting raw CSV files to crunch the numbers manually, you can use Ad Badger’s Filter Engine to segment your data in seconds. Whether you want to isolate bleeding search terms with zero conversions or find highly efficient hidden gems, custom filters let you surface actionable insights instantly. Accessing the Filter Menu You can filter data on almost any main table within Ad Badger (such as the Ad Manager, All Search Terms, or Duplicate Hunter tables). 1. Locate the funnel icon (Filter Results) in the toolbar directly above your data table. 2. Click the icon to open the Filter Results configuration modal. Creating a New Filter The filter modal is divided into two tabs: New and My Saved. To build a filter from scratch, ensure you are on the New tab: 1. Select Column: Click the first dropdown to choose the metric or attribute you want to filter by (e.g., Search Term, Match Type, Orders, Spend, etc.). 2. Choose Operation: Select the comparison logic (e.g., Equals =, Greater Than >, Contains, etc.). 3. Enter Value: Input your target threshold (e.g., 0 for Orders, or 15.00 for Spend). 4. Add Multiple Conditions (Optional): Click + Add Another to combine criteria. This creates an "AND" sequence (for example: Orders Equals 0 AND Spend Greater Than or Equal To $15.00). Applying vs. Saving Your Filters Once your filter logic is set, you have two options at the bottom right of the modal: Option A: Only Apply (One-Time Use) If you just want to run a quick, temporary check on your data, click the green Only Apply button. The modal will close, and your table will instantly update. - Note: This filter will not be saved for future sessions. Option B: Save & Apply (Repeatable Custom Filters) If this is a search pattern you plan to run regularly (e.g., a weekly check for zero-order bleeders), click the yellow Save & Apply button. This opens the Save Filter wizard, where you can customize how the filter behaves: - Filter Group Name: Give your custom filter a clear, descriptive name (e.g., 0 orders). - Filter Group Description: Add details about the logic so you remember exactly what it does (e.g., 0 spend > 15 clicks). - Share Filter with Account Users: Check this box to make this custom filter available to everyone else who has access to your Ad Badger account. - Apply Filter to All Marketplaces: Check this box if you want this filter template to be accessible across your other international marketplace dashboards. - Save: Click the yellow Save & Apply button at the bottom right to finalize and run it. Managing Your Saved Filters To use a filter you’ve previously configured: 1. Open the filter modal by clicking the funnel icon above your table. 2. Switch to the My Saved tab at the top right of the modal. 3. Select your named filter from the list to instantly apply it to your current view. Clearing Active Filters If you want to remove your active filters and return to the complete, unfiltered view of your data: 1. Click the funnel icon again to open the filter modal. 2. Click the red Clear Filters From Table button in the bottom left corner of the popup. 💬 Need Help? Reach out to our Support Team anytime through the Live Chat bubble in the lower-right corner of the tool.

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.

Can I filter a list of keywords by match type in Ad Badger

Yes, you can! You can filter by match type (broad, phrase, exact) in Ad Manager. - Be sure you are looking at keywords. Tip: You can view all your keywords across all your campaigns at this link: http://v2.adbadger.com/#/manager/keywords - Click the filter button. - Select 'Match Type' as your filter. - Bonus tip: Save the filter for quick access in the future!

How do I do Product-Level Analysis in Ad Badger?

Wondering how a specific product performs to gauge whether you're over or underspending? We'll help! How to View Performance by Product in Ad Badger Note: Your marketplace MUST be connected to the Connect Selling Partner API (SP-API) in order to utilize this dashboard. Not connected yet? Learn how to connect now. - Log in to your Ad Badger account. - Click on "Dashboard." - Go to "Product Performance," the furthest right option in the upper subheader. - Note: This is where you will see your sum of sales, sum of orders, sum of spend, and ACOS per product ads. - Go to Ad Manager. - Select "View All Product Ads" from the search bar on the left-hand side. - Search the product ad number you seek. - Voila, determine the product's performance at a glance. If you're more of a visual learner, watch the following video for a detailed explanation of how to view performance at the product level within the Ad Badger App, as well as a brief intro explaining why this strategy is useful. Questions? If you have any additional questions, contact us at thebadger@adbadger.com.

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.

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.

How does Ad Badger manage bids?

We update Bids by Badger’s bid algorithm several times a year. We analyze results, make adjustments, and continue to improve it. In the video below, Mike explains the basic theory at the heart of Bids by Badger. We have a FULL blog post that goes into detail on how Ad Badger’s Bid Management works here: https://www.adbadger.com/blog/how-ad-badger-manages-amazon-keyword-bidding/ Common questions about how Target ACOS & Bid Optimization Settings works: - After you turn on Bids by Badger for a campaign, you can set a different Target ACOS for different keywords. - You can use Bids by Badger on Automatic Campaigns, or Manual Campaigns. - You can use Bids by Badger on Auto campaigns, Keyword-targeting campaigns, or Product-Targeting Campaigns.   We hope this article is helpful. If you still have questions, please contact us at thebadger@adbadger.com. Thank you for checking us out!

How do I connect Ad Badger to Claude or ChatGPT?

Connect Ad Badger to Claude or ChatGPT and you can simply ask about your Amazon Ads data in plain English. "Which of my campaigns had the highest ACOS last month?" The Badger goes digging and comes back with an answer pulled from your own account. The connection is read-only. Honey badgers are famously fearless. This one is famously well behaved: Claude and ChatGPT can look at your advertising data all they like, but they cannot change your bids, adjust your budgets, pause anything, or delete anything. Setup takes about five minutes, and you only do it once. Then the Badger stays put. Before you start You'll need: - An Ad Badger account. This works on every Ad Badger plan, free trials included. - At least one Amazon Ads account connected in Ad Badger. If you haven't connected one yet, do that first. Even a badger can't dig up data that isn't there. - A Claude or ChatGPT account that supports custom connectors. See the notes in each section below. You do not need Amazon API keys, AWS credentials, or a developer account. The address you'll need Both Claude and ChatGPT ask for the same address: https://ai.adbadger.com/mcp/ads Copy it exactly, including the /mcp/ads on the end. The Badger is particular about its address. Entering just ai.adbadger.com is the single most common reason setup fails. Connect Claude Claude is Anthropic's product, not ours. We don't control how it looks or works, and these steps can change at any time without notice. The instructions below match the Claude desktop app as of the last time we checked. If what you see on your screen doesn't match, always go by Anthropic's own documentation. It's the authority, and it's kept current: Get started with custom connectors using remote MCP. That guide is also where to check whether your Claude plan supports custom connectors. 1. Open your profile menu and choose Settings. Claude's profile menu open, with Settings at the top of the list. 2. At the bottom of the left sidebar, click Customize. Claude's Settings window. Customize sits on its own at the very bottom of the left sidebar, below the Desktop app section. 3. Choose Connectors. The Customize panel, with Skills, Connectors and Plugins in the left sidebar and Connectors selected. Discover and Add buttons sit at the top right. 4. Click Add in the top right. (Not Discover. That's Claude's directory of pre-built connectors, and Ad Badger isn't listed there.) The Add button at the top right of the Connectors panel, which opens the Add custom connector dialog. 5. Fill in the two fields: - Name: Ad Badger - Remote MCP server URL: https://ai.adbadger.com/mcp/ads 6. Click Continue. The Add custom connector dialog with Name set to Ad Badger and Remote MCP server URL set to https://ai.adbadger.com/mcp/ads. 7. The next screen shows Authentication and OAuth client options. This is the one spot where setup usually goes sideways, so read the note below before you touch anything. Leave them exactly as they are. Claude inspects our server and pre-selects the right settings for you. They're the ones marked Detected. Don't switch to "Use Anthropic's hosted client metadata," even though it's marked Recommended. Ad Badger doesn't use that method, and choosing it will stop the connection from working. The correct options are the pre-selected ones: Always required and No client ID — register one automatically. The same goes for anything under Advanced: the transport setting is filled in from the address automatically. The Authentication and OAuth client screen. Always required is selected and marked Detected. Under OAuth client, No client ID - register one automatically is selected and marked Detected, while Use Anthropic's hosted client metadata is unselected but labelled Recommended. The Advanced section showing Transport set to Streamable HTTP, with the note that it is set from the URL automatically. 8. Click Add. 9. An Ad Badger sign-in screen appears. Sign in with your normal Ad Badger email and password. The Ad Badger sign-in screen, asking for your email address and password. 10. Check that the consent screen says read-only, then approve it. 11. You'll see "Checking connection…" briefly, and then Ad Badger appears in your connectors list. That's it. A Checking connection progress screen with the Ad Badger badger logo. On Claude for web, the path is the same: Customize → Connectors → Add. On a Team or Enterprise plan, you may not see an Add button at all. Custom connectors are usually added once for the whole organization by an owner, under Organization settings → Connectors. If you can't add it yourself, ask whoever administers your Claude workspace. Connect ChatGPT ChatGPT is OpenAI's product, not ours. We don't control it, and these screens change often. OpenAI describes this area as still rolling out, and says functionality, UI and permissions may change as they iterate. If what you see doesn't match what's written here, go by OpenAI's own guide: Developer mode and MCP apps in ChatGPT. That's also the place to check whether your ChatGPT plan supports this, since it varies and changes. 1. Turn on Developer mode Go to Settings → Security and login and switch on Developer mode. ChatGPT's Security and login settings, with the Developer mode toggle switched on and marked ELEVATED RISK. You'll see OpenAI label this ELEVATED RISK, warning that it "allows you to add unverified connectors that could modify or erase data permanently." That warning is about developer mode in general, not about Ad Badger specifically. It applies to any connector OpenAI hasn't reviewed. The Ad Badger connection is read-only: it cannot modify or erase anything in your account. Depending on your plan, Developer mode may sit elsewhere: under Settings → Plugins, or in workspace/admin settings if you're on a Business or Enterprise account, where an administrator may need to enable it for you. ChatGPT's Plugins settings page, listing installed plugins with Browse plugins and Developer mode at the bottom. 2. Create the connector 1. Go to Settings → Plugins and click the + button to open New Plugin. The empty New Plugin dialog with fields for Name, Description, Connection, and Authentication, and a warning that custom MCP servers introduce risk. 2. Name: Ad Badger (an Icon and Description are optional, so skip them) 3. Connection: leave the toggle on Server URL (not Tunnel) and enter: https://ai.adbadger.com/mcp/ads 4. Authentication: choose OAuth. 5. Leave Advanced OAuth settings alone. ChatGPT reads the correct settings from our server once you've entered the address. If you open that panel, you'll see Registration method set to Dynamic Client Registration (DCR). That's right, and there's nothing to change. You may also see a note reading "CIMD is unavailable because the server did not advertise CIMD support." That's expected and harmless. CIMD is a different sign-in method that Ad Badger doesn't use. ChatGPT is telling you it noticed, and has already picked the right one. The New Plugin dialog filled in with the Ad Badger endpoint, alongside the OAuth advanced settings panel showing Registration method set to Dynamic Client Registration and a note that CIMD is unavailable. 6. Tick "I understand and want to continue." The text beside it says OpenAI hasn't reviewed this MCP server. That's true of every connector that isn't in their reviewed list, including ours. 7. Click Create. 3. Sign in 1. A screen appears headed Add Ad Badger to ChatGPT. Click Sign in with Ad Badger. The Add Ad Badger to ChatGPT screen with a Sign in with Ad Badger button, and notes about permissions and data control. 2. Sign in with your normal Ad Badger email and password. 3. Check that the consent screen says read-only, then approve it. 4. Use it Open a new chat, type @, and pick Ad Badger to bring it into the conversation. Ask your first question Whichever one you connected, start here: Which Amazon Ads profiles do I have connected in Ad Badger? Ask this first. It points the Badger at the right burrow. Every other question needs to know which advertising account you mean, and this is also how a phrase like "my UK account" gets matched to the right one. If this returns your profiles, you're connected properly. If it doesn't connect None of this is fatal. Badgers are hard to discourage. "Couldn't connect" or the address is rejected. Check you entered the full address including /mcp/ads, not just ai.adbadger.com. "Subscription is not active." Your Ad Badger account doesn't currently have an active plan or trial. Contact support and we'll sort it out with you. No profiles come back. Your Amazon Ads account may not be connected inside Ad Badger yet. Check that first, then try again. You can't find Connectors, or there's no Add button. In Claude, Connectors sits under Customize, not in the main Settings list. If there's still no Add button, you're likely on a Team or Enterprise plan where an owner adds connectors for everyone. In ChatGPT, it fails before you ever see a login screen. That's the connector being created, not your Ad Badger login. Double-check the address and that Authentication is set to OAuth. You changed one of the OAuth options and now it won't connect. Remove the connector and add it again, leaving the pre-selected settings untouched. It worked before and now it doesn't. Sign-in sessions can expire. Reconnect the connector and sign in again. In Claude this shows as a Reconnect button next to Ad Badger in your connectors list. Still stuck? Contact support and tell us which assistant you're using and where in these steps it stopped. What happens to your data The connection is read-only. It can look at your advertising data, and it cannot change anything in your account. The Badger is a watcher, not a meddler. Ad Badger never uses your advertising data to train AI models. What Claude or ChatGPT do with your conversations is governed by the data settings on your own Claude or ChatGPT account. Questions? You don't need to be stuck to get in touch. We like hearing from you. If you're unsure whether this is right for you, want help getting your first question working, or something in these steps doesn't look like what's on your screen, contact Ad Badger support. We're happy to walk through it with you. Next Now that you're connected: What can I ask once Ad Badger is connected to Claude or ChatGPT?. It covers example questions, the difference between keywords and search terms, and what to expect from the answers.

What can I ask once Ad Badger is connected to Claude or ChatGPT?

Once Ad Badger is connected, you can ask about your Amazon Ads profiles, campaigns, keywords, and search terms in ordinary language. No report builder, no filters, no exports. Those four are what the connection can read; anything outside them stays in Ad Badger or Amazon's Ad Console. This article covers what to ask, and what to expect from the answers. Haven't connected yet? Start with How do I connect Ad Badger to Claude or ChatGPT? Always start with your profiles Which Amazon Ads profiles do I have connected in Ad Badger? Ask this at the beginning of a conversation. Every other question needs to know which advertising account you're asking about, and this is how a phrase like "my UK account" gets matched to the right one. Questions that work well Campaign performance Which of my campaigns had the highest ACOS last month? Wasted spend Which keywords are spending money without producing sales? Search term mining What search terms triggered my ads but converted badly? Comparing accounts Compare my UK and US accounts on spend for the last 30 days. The pattern that works: name the account, and give a date range. "Last month," "the last 30 days," and "May 2026" all work. Without a date range you may get a default period that isn't the one you had in mind. Keywords and search terms are not the same thing This is the distinction most worth knowing, because getting it wrong produces an answer that looks perfectly reasonable and is about the wrong thing. - Keywords are what you bid on. - Search terms are what shoppers actually typed into Amazon. So "which keywords should I add as negatives?" and "which search terms should I negate?" are different questions with different answers. If you're hunting for junk traffic to exclude, you almost always want search terms. If you're managing bids on what you've already chosen to target, you want keywords. If an answer seems off, it's worth asking again and naming which of the two you meant. What to expect from the answers It can look, but it can't touch. The connection is read-only. Ask it to pause a campaign or change a bid and it will decline. That's working as intended, not a bug. Make those changes in Ad Badger or in Amazon's Ad Console. Recent days will look empty or low. Amazon's advertising reports lag roughly 24–48 hours. Yesterday's numbers genuinely aren't available yet, so an empty or unusually low figure for the last day or two is the reporting delay, not a real drop in your spend. This is Amazon's reporting window, not a fault in Ad Badger, and it catches a lot of people out. Money is shown in each account's own currency. If you advertise in more than one marketplace, figures should be presented side by side (£ next to $) and never added together into one total. A single combined number across two currencies would be wrong, so if you ever see one, let us know. Totals cover everything; the list you see doesn't. When you ask a question that returns rows (campaigns, keywords, search terms), you'll see the top 25 rows by default, and up to 100 if you ask for more, not every row you have. Any total or summary is still calculated across all of your matching data. That's why adding up the visible rows won't match the stated total, and the total is the number to trust. "All my campaigns" returns the first 25, not all of them. Asking for everything gives you a limited number of rows (25 by default, 100 at most) rather than a complete export. Narrowing the question, with a tighter date range or one account at a time, brings the rows you care about into that visible slice. The totals in the summary always cover everything regardless. There's a limit on how fast you can ask. The connection allows 60 requests a minute and 600 an hour per Ad Badger account. An ordinary back-and-forth conversation is nowhere near either limit. If you do reach one, wait for the minute or the hour to roll over and ask again. Nothing is broken and nothing is lost. If the numbers don't look right Compare the same profile and the same date range in Ad Badger or Amazon's Ad Console. If the figures still disagree, contact Ad Badger support and include: 1. The exact question you asked, word for word 2. Which profile and marketplace 3. What it answered, and what you expected instead That's enough for us to reproduce it. Questions asked slightly differently can produce genuinely different answers, so the exact wording matters more than you'd think. Questions? If you're not sure how to phrase something, or you want help getting a particular answer out of it, contact Ad Badger support. We're glad to help.