Here are examples with beta priors and binomial likelihoods.

Suppose the prior distribution of the heads probability $\theta$ is $\mathsf{Beta}(10,10)$ and that $n = 100$ tosses of a coin yield
$x = 47$ Heads. Then the posterior distribution of $\theta$ is
$\mathsf{Beta}(10 + x, 10 + 100 - x) \equiv
\mathsf{Beta}(57, 63).$

One could say that the prior distribution is 'effectively' equivalent
to advance knowledge of $20$ tosses of the coin yielding 10 heads.