So, we're going to go from 10000 to 100000 samples as shown here:

A = np.random.normal(25.0, 5.0, 100000) 
B = np.random.normal(25.0, 5.0, 100000) 
 
stats.ttest_ind(A, B) 

You can see in the following output that actually the p-value got a little bit lower and the t-test a little bit larger, but it's still not enough to declare a real difference. It's actually going in the direction you wouldn't expect it to go? Kind of interesting!

But these are still high values. Again, it's just the effect of random variance, and it can have more of an effect than you realize. Especially on a website when you're talking about order amounts.