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 |