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Transcript

Hey everybody, this is Doug. In this video, I want to talk to you about the formatting options for metrics when you鈥檙e setting up a new data view in Customer Journey Analytics. So, you can see here we have revenue selected, and so this one鈥檚 going to be pretty easy. When we go over to the formatting section, we can choose currency. Right, we have a few different options. You鈥檝e got decimal, time, percent, currency. How do you want it displayed? Well, obviously, revenue we want to display it as currency, and so we鈥檒l have that. When you choose currency, of course, you get to choose down here which currency. So, we鈥檝e got a lot of different options. In this case, we鈥檙e going to just leave US dollars there. And this is just the currency that it will display in. And then you can also choose whether you want to show those two decimal places or whether you鈥檇 rather just kind of have, you know, dollars instead of dollars and cents. The next setting down here is whether to show the upward trend as good or bad. Of course, with revenue, it鈥檚 going to be good, up is good, and so we鈥檒l leave that the way that is. Now, if I jump up here to these app crashes right here, you鈥檒l see that, you know we have the same formatting options here but instead of, you know, these other ones, time, percent, or currency, we鈥檒l leave that one as decimal. And in this case, we want to show an upward trend of app crashes as bad. And so we will have that set as bad. More crashes is not good in this case. Now the next section down here is behavior. And in many cases you鈥檒l want to count the values because if you have app crashes, you know, if you have three of them or two of them or one or whatever, you want to count those values. If you have revenue, of course, you want to count those values. You want to add up the values of the revenue. However, you have the option to count an instance instead of the values, and this is kind of a hidden gem here, because for example, in revenue, let鈥檚 say you don鈥檛 have an orders metric. Well, you can use revenue basically as an order鈥檚 metric if we just duplicate that. So, let鈥檚 duplicate the revenue metric. Boom. Now, if I scroll to the top, I have another revenue metric, but for this one, I鈥檓 going to change it to just count the instance. And so regardless of the amount of dollars, amount of revenue, it just counts it as one because it鈥檚 an instance of that component or of that metric being set, which also means of course we鈥檇 want to change the name of that from, you know, revenue, probably to orders, but it allowed us to actually just take that revenue metric and make a new metric out of it which is in this case orders. And the same thing could be used on any of your different metrics. Now, another little tip is that if you have a dimension that you want to count as a metric, we already talk about this in another video, how you can set a dimension as a metric, but what that gives you in reference to what we鈥檝e just been talking about, if I click for example, search keyword, and if I don鈥檛 have a metric that is, you know, searches, that people did a search, I can just say, you know what? If there鈥檚 something in this search keyword field, I know the people did a search, right? So if I duplicate that one, and then I scroll up to the top, and I grab that, and I change this from a dimension to a metric. Now I can just change this name to, you know, searches, because it鈥檚 going to count the number of searches. Now, since this is a string, you actually won鈥檛 see that behavior section down there because there鈥檚 no reason for you to count the value. That鈥檚 not a thing, right? The value is a string. And so you鈥檙e just going to count the instances, and that鈥檚 automatically going to be treated that way but it allows you to do that same thing that we鈥檝e been talking about with this, you know, revenue here, being actually orders, and that鈥檚 bugging me, right? So I鈥檓 going to change that to orders. But in any case, these settings allow you to do some really great things with Customer Journey Analytics. Hope those tips were helpful and you have a great day. - -