Small test groups can be problematic because they often lack statistical significance. This means that any observed differences in outcomes, such as open rates or click-through rates, may be due to chance rather than a true effect of the changes being tested. With a small sample size, it's challenging to determine if the results are reliable or if they will replicate in larger campaigns.