Deal Analytics

Video Transcript:

All right, let me explain you how Deal Analytics work in Dreamdata. First of all, you want to select the pipeline stage you want to be looking at, meaning that we can tell you all about how what's the characteristics of your one deal, but you can also keep going further back into your funnel. That's for this exercise. Say we want to look at new bus. Then we'll tell you, given the time period, how many deals did you win? How many contacts did you see? What's the average deal size? How much revenue did you bring in?

This will also show you how long an average deal takes to get for your company, which is very important, which ... How can you call it? It's kind of like a sense of the pulse of your company. So if an average deal takes for this company takes 81 days from first touch to new bus, that means that I cannot judge my ad spent in the same month as I make it, because in an average it takes three months to get a new customer.

So if you invest 100,000 euros in ads this month, the fair time where you can actually judge whether it's worth or not is actually 81 days later. If you then scroll further down, you can then see which channel brings in the most revenue. What's the average deal sizes? Which countries do we see most business from? Are there any particular sectors that are interesting for us? Are the deals converting faster or slower? Are we getting better at making deals happen?

We can also break it down to even more specific segments. So saying could there be certain countries that is more relevant than others? Like is there certain countries we see a bigger deal size from that takes a shorter time? Again, you'd see here the average journey, given your revenue model. So 1.6 companies or contacts for this demo account, almost three channels, seven sessions, and 81 days, which highlights really the importance of being able to understand things in a multi-touch perspective, because you at least need seven sessions to convert a customer to a deal. So if you're judging your ad spend on a single touch, it's completely impossible to understand what's going on.

Seems like US is by far the biggest market here. Let's see what else is there. But it's actually a slow market, so it takes 91 days to bring in the deals, whereas Spain only had three deals, but it only takes 13 days. That might be interesting.

Might also be certain industries that converts faster or slower or bigger or smaller. Can also be that you want to look at how many employees does the company have. Should we adjust our messaging based on how we can see we sell best? It might be an example. It might also be that there's certain channels that is a lot faster or provides a lot better leads than what we already know of.

But essentially this deal analytics tells you a whole lot about the customers who have reached a certain stage. How do they look and what knowledge can we take out of them that we can use to repeat, and what has worked successfully before?