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Amazon PPC’s Automatic Sponsored Product Campaigns-- everybody’s favorite, right? Usually not. We often see auto-campaigns with unruly, high ACOS.
Should we segment our automatic sponsored product campaigns? In other words, should we create four separate campaigns, one each for compliments, substitutions, close match, and loose match?
Michael and Michael analyzed a few million ad groups from Ad Badger’s software community and tested this theory on a client’s campaigns.
You won’t want to miss the first-ever episode that PPC Den Podcast recorded over several weeks while compiling data and running the test.
The results surprised us, and it’s changing the way we optimize our Amazon Ads.
We’ll see you in The Badger Den!
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Highlights:
0:00 Should You Segment Your Automatic Sponsored Product Campaigns?
2:20 Podcast Episode Intro
3:30 How Auto Campaign Segmentation Works
6:30 Potential Benefits of Segmenting Campaigns
9:15 Potential Drawbacks of Segmenting Campaigns
11:20 How We’ll Test Our Auto Campaign Theories
17:34 Two Weeks Later: Testing Theory Project Update
19:50 Auto Segmentation Data - Initial Reactions
25:05 Final Results of Automatic Ad Group Segmentation Performance
28:35 Summary, Takeaways, and Advice
+ If you like what you hear, please give The PPC Den a 5-star review and share with your friends!
Links & Resources
Episode 68 of The PPC Den: “Adjust Bids by Placement” Settings Into Your Keyword Bids (Part 1: Single Keyword Campaigns)
Episode 69 of The PPC Den: “Adjust Bids by Placement” Settings Into Your Keyword Bids (Part 2: Multi- Keyword Campaigns)
Episode 40 of The PPC Den: Should You Segment Your Branded Keywords in Amazon Ads?
Check out the free Placement Bid Calculator for Amazon PPC here.
All our episodes and show notes are available at https://www.adbadger.com/podcast
Get the Ad Badger App here.
-
Host and Executive Producer: Michael Erickson Facchin
Guest Co-Host: Michael Tejeda
Senior Producer: Nancy Lili Gonzalez
Video and Audio Editor: Pedro Moreno ([email protected])
Graphic Designer: Emma Walker
4.9
9898 ratings
Amazon PPC’s Automatic Sponsored Product Campaigns-- everybody’s favorite, right? Usually not. We often see auto-campaigns with unruly, high ACOS.
Should we segment our automatic sponsored product campaigns? In other words, should we create four separate campaigns, one each for compliments, substitutions, close match, and loose match?
Michael and Michael analyzed a few million ad groups from Ad Badger’s software community and tested this theory on a client’s campaigns.
You won’t want to miss the first-ever episode that PPC Den Podcast recorded over several weeks while compiling data and running the test.
The results surprised us, and it’s changing the way we optimize our Amazon Ads.
We’ll see you in The Badger Den!
-
Highlights:
0:00 Should You Segment Your Automatic Sponsored Product Campaigns?
2:20 Podcast Episode Intro
3:30 How Auto Campaign Segmentation Works
6:30 Potential Benefits of Segmenting Campaigns
9:15 Potential Drawbacks of Segmenting Campaigns
11:20 How We’ll Test Our Auto Campaign Theories
17:34 Two Weeks Later: Testing Theory Project Update
19:50 Auto Segmentation Data - Initial Reactions
25:05 Final Results of Automatic Ad Group Segmentation Performance
28:35 Summary, Takeaways, and Advice
+ If you like what you hear, please give The PPC Den a 5-star review and share with your friends!
Links & Resources
Episode 68 of The PPC Den: “Adjust Bids by Placement” Settings Into Your Keyword Bids (Part 1: Single Keyword Campaigns)
Episode 69 of The PPC Den: “Adjust Bids by Placement” Settings Into Your Keyword Bids (Part 2: Multi- Keyword Campaigns)
Episode 40 of The PPC Den: Should You Segment Your Branded Keywords in Amazon Ads?
Check out the free Placement Bid Calculator for Amazon PPC here.
All our episodes and show notes are available at https://www.adbadger.com/podcast
Get the Ad Badger App here.
-
Host and Executive Producer: Michael Erickson Facchin
Guest Co-Host: Michael Tejeda
Senior Producer: Nancy Lili Gonzalez
Video and Audio Editor: Pedro Moreno ([email protected])
Graphic Designer: Emma Walker
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