Calculating minimal detectable effect with 0 historic conversions

I'm new to conversion rate optimisation, I'm currently prioritising my test ideas based on the effort and impact.

Am I right in thinking that the MDE is the minimum uplift from baseline to be confident in the data?

Example:

• Current monthly conversions = 23
• Monthly traffic = 1000
• Duration of A/B Test = 4 weeks
• MDE = 54.78% (CXL tool)

This would mean if control got 16 conversions during the test, Variation A must get a minimum of 24 conversions to be statistically significant?

If this is correct, how would I measure this with current avg conversions being at 0 due to lack of tracking?