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Successful A/B Testing - What It Looks Like

Archal Rami • June 13, 2021

Overview

  1. Receiving, processing, and leveraging data to make successful strategy shifts & pivots is key to a successful marketing strategy in the current decade. 
  2. There are multiple things that can be A/B tested, including demographics, advertising copies, and landing pages. 
  3. Run the campaign like a science experiment, with placebos and variables.

Data

Receiving, processing, and leveraging data to make successful strategy shifts & pivots is key to a successful marketing strategy in the current decade. With successful A/B testing, we are able to collect data and effectively transform it to be presentable and readable which allows us to look for gaps for expansion, see opportunities for improving marketing campaigns, and look for opportunities to scale forward or backward for efficiency & better allocation of resources.

87% percent of companies in the United States run 1 - 5 advertising test campaigns*, however, the best companies are running hundreds of ad sets per month testing against multiple variables. Running multiple campaigns allow businesses to find a winning formula that can be duplicated and invested in to create sustainable and predictable growth. 75% of Rami Consulting Group’s focus is to create sustainable growth that eventually leads to explosive growth. Sustainability and developing a formula for success are key.

Variables

A/B tested can be started like how any marketing campaign should be started with a strong buyer persona developed with demographics and psychographics. After, advertising copies can be used with comparables from competitors, and previous data comparisons to predict results against demographics. Ads sets should be started with a basis of anywhere from 20 to 40% of ad spend with multiple adsets with multiple ad copies against the same demographic. Then, advertising copies can be expanded to a different text, images, landing pages, and even multiple demographics/psychographics. All campaigns should be compared to previous campaigns serving as a placebo to see how effective certain changes were.

*Redeye Conversion Rate Optimization Report of 2014

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