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A/B Testing for Display Campaigns with Google Ads Campaign Experiments

A/B Testing for Display Campaigns with Google Ads Campaign Experiments

Client’s pain points/problems/challenges

  • Display campaigns had bottlenecked growth – unable to drive incremental leads.
  • Varying performance across display campaigns – some were driving constant # of leads, some have low volume of leads.
  • Client wanted to maintain existing spend levels.

 

What we have done?

A/B testing was introduced for Display campaigns to reduce the risk of losing the existing conversion levels. Campaigns with low volumes of leads were prioritized over those that were driving constant # of leads.

New targeting personas were created with audience segments from Google Analytics to target for each Display campaign, and the hypothesis was that the new personas will outperform the original ones.

Each campaign had a 50% split in the spend budget to test out the variant v.s. original versions. Campaigns on A/B testing were ran for at least 1 month period to conclude significant results statistically.

 

Key Achievements:

  • Not all the Display campaigns targeting the new personas  drove incremental growths in leads.
  • Those campaigns that showed significant improvements in lower CPC, CPA, and incremental leads for the variant version, were updated with the new audience persona targeting.

Case Details:

Client name:
E-Commerce
Location:
Hong Kong
Started:
24 Jan 2019
Completed:
23 February 2019
Scope:
Display Advertising
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