What could you do? Well, it would be pretty easy to observe when that browsing behaviour occurred and then plot the churn or attrition event out over time. I hear a lot about attrition and churn triggers – such as browsing competitor websites. Secondly, the answers are probably in your data.
#Sas option dropover download
For example, if you reduce a customer’s download speed as they approach their limit you help the customer avoid incurring overages – it is clear that more rapid decisioning will result in better responses. Well, first of all, I would just like to give a shout out to marketing nous (i.e., common sense) because in fairness, some of these things can be obvious. So, how do you find out what kind of profile is the most useful for the particular action that you want to take? Making an offer to a customer on an abandoned cart can come too quickly – equally there are overtones of Big Brother here. The blue shows that if you act too quickly, you may actually destroy responsiveness (or more likely value).filling out a form – if you don’t help them immediately, they may go away, never to return. The black line suggests that real-time execution of a decision is essential – if you don’t act quickly, the moment has gone, as has your customer! This is more akin to perhaps helping a customer who is having difficulty on line – e.g.It depends on the cost to execute and the overall ROI. I’m not sure it’s quite as linear as this, but essentially, this is a case of ”the sooner the better”, and so real-time decisioning is important – but I would argue not essential. The red line shows that response can drop over time.Realistically – if you send a message to a customer after they have hovered over the mortgage product on your website – it isn’t really going to seal the deal there and then. A good example of this would be high-ticket items or a mortgage, perhaps. The green line – just going flat over time – suggests that sometimes response doesn’t vary much over time.I’ve drawn four lines on this graph to help make the point: So have a look at the graph below – with the x axis being time, and the y axis being some kind of KPI measure – for example, response (or perhaps the effect on net promoter score). I guess the reason for wanting to do this is to balance the view that everything can be actioned by trigger event campaigns executed in real time. I wanted to share some thoughts about when real-time decisioning is actually necessary.
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