Exercise

How many visitors could your site get (3)?

In the last exercise, you updated the probability distribution over the underlying proportions of clicks (proportion_clicks) using new data. Now we want to use this updated proportion_clicks to predict how many visitors we would get if we reran the ad campaign.

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The result from the last exercise is still in the data frame posterior, but if you look at posterior$n_visits you'll see it's just 13 repeated over and over again. This makes sense as posterior represents what the model knew about the outcome of the last ad campaign after having seen the data.

Assign posterior to a new variable called prior which will represent the uncertainty regarding the new ad campaign you haven't run yet.