TheVigilante
Banned - Multiple Rules Violations
- Aug 31, 2010
- 14,993
- 16,105
Just came across this case study by Aistis Matulaitis which I thought would be useful to BHW peeps who are mostly into fb ads
He shared his whole process to scale an e-commerce business from $7k to $28k in just 28 days.
It’s a long and detailed read, but the main parts as below:
+ Creative testing: Many marketers suggest using the best-performing audiences to test your creatives. However, according to Aistis this isn’t always correct. Why? Because you don’t want to burn out your juiciest audience for testing purposes.
Therefore, test creatives on your second or third best audiences.
+ Only one ad per ad set, with the campaign budget being calculated as: Ad set numbers * 2x Breakeven CPA.
+ Email: Just by adding a few more emails to the existing flow, they grew the email rev from 7% to 22%. They created different flows for email too:
This gives a nice insight: Instead of looking at the best performing audiences shared on Facebook groups, you should look for patterns in your own data and use that to decide on your best performing audiences.
+ Scaling: His scaling structure consists of just one CBO campaign with six ad sets. He only targets three audiences:
You can view the case study here: https://drive.google.com/file/d/1iZHQs_zsg_xdvpNF7OYQUlTIzeUP1OEi/view
Virustotal: https://www.virustotal.com/gui/url/202688443f222dffc6cb0b952fe35b0a372009f9bdfcec16a21cfa77c62a32d2/detection
He shared his whole process to scale an e-commerce business from $7k to $28k in just 28 days.
It’s a long and detailed read, but the main parts as below:
+ Creative testing: Many marketers suggest using the best-performing audiences to test your creatives. However, according to Aistis this isn’t always correct. Why? Because you don’t want to burn out your juiciest audience for testing purposes.
Therefore, test creatives on your second or third best audiences.
+ Only one ad per ad set, with the campaign budget being calculated as: Ad set numbers * 2x Breakeven CPA.
+ Email: Just by adding a few more emails to the existing flow, they grew the email rev from 7% to 22%. They created different flows for email too:
- Abandoned cart flows: This is made up of a sequence of five emails.
- Welcome emails: This sequence contains seven messages, and the primary goal is to build a relationship with the subscriber. This also gets some conversions through discounts as well though. Like the cherry on top of the cake.
- How long does it take to make a decision for the product you’re selling?
- Are the buyers emotionally driven or logically driven?
- Are there any objections or angles?
This gives a nice insight: Instead of looking at the best performing audiences shared on Facebook groups, you should look for patterns in your own data and use that to decide on your best performing audiences.
+ Scaling: His scaling structure consists of just one CBO campaign with six ad sets. He only targets three audiences:
- Their best performing LLAs all combined into one ad set.
- Best performing Interests combined into one ad set.
- An ad set with no targeting, except for demographics such as location and age.
You can view the case study here: https://drive.google.com/file/d/1iZHQs_zsg_xdvpNF7OYQUlTIzeUP1OEi/view
Virustotal: https://www.virustotal.com/gui/url/202688443f222dffc6cb0b952fe35b0a372009f9bdfcec16a21cfa77c62a32d2/detection
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