Use the power for auto-adjustive machine learning models (the same fabric behind Facebook popular ad platform) to find the best-performing variant for your copy.
Watch how to Use AI for AB Testing Your Best Cold Emails.
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Why is this important? A/B testing as a marketing principle is fundamental to find the best working messaging that pierces through the logical barrier of your potential lead right through to the emotional decision-making mechanisms that influence them to click on the "buy" button.
So, with that said - here's how you can use Smartlead's AI A/B testing system to find the best-performing variant and drive up revenue for your business through booked meetings.
As you watch the tutorial below, note that there are 3 ways you can use Smartlead's updated A/B testing system.
Manual Equal Distribution
In this case, you don't need to add anything else, it will equally distribute the variants across all the leads
Note: The manual percentage variant distribution works perfectly only with multiples of 10. Any value less than 10 will not be considered.
AI Distribution
In this case, you need to add the winning metric that decides which variant gets the priority. You can use any of the following to make that decision
Open Rates
Click Rates
Reply Rates
Positive Reply Rates
Lead Sample Percentage, meaning - what percentage of the lead list you uploaded do you want to be used for experimentation in finding the variant that achieves your above-defined winning metric the fastest and most consistently.
Manual Distribution
In this case, you need to allocate the percentage distribution on a sequence variant level, it will select the first 10 that add up to 100% in total distribution for variance allocation. For this option, you can only have a max of 10 variants when doing variant distribution as we saw from experiments that a minimum of a 10% pool is needed to make any form of an effective decision in finding the best performing A/B variant.