Optimise your targeting approach thanks to Smart Targeting
Targeting can be done with Custom Targeting: you choose situations in which notifications are displayed or not. However, it is not easy to anticipate which situations are the most appropriate to display notifications and create all targeting rules that are necessary to correctly deal with each specific case.
That is when Smart Targeting comes up: our intelligent method automatically targets visitors at the right moments.
What is it?
Visitors are targeted whenever the system detects that they are very likely to start a chat conversation if notification is displayed. It, therefore, avoids visitors who could be disturbed by such notifications. It really focuses on visitors for who a conversation makes a difference between a purchase and a bounce.
This method can be chosen at step 3 of a campaign creation :
So that you can easily control the targeted audience, you can choose between two options:
- Volume management and targeting quality you wish to enable. The more people your targeting strategy addresses, the more visitors you will target whilst maintaining your performance according to your objective.
- You can also restrict the targeting by URL and therefore create a Smart Targeting campaign according to some specific categories:
How does it work?
Smart Targeting is based on a Machine Learning system that is specifically built up and trained for your website. It measures how likely a visitor is willing to chat at a given moment by using what is known about this visit at this moment and the impact of displaying/not displaying a notification. If the difference between displaying and not displaying is high, the visitor is more likely to be targeted.
Limitations & evolutions
The machine has its own limitations and has to discover statistical regularities on its own to make decisions that could be obvious for a human user, with the help of its specific knowledge. If you precisely know which visitors have to be targeted on your website, then Custom Targeting may be more performant. Only a comparative usage and test can tell you for sure.
It is our very first version of this feature and it focuses on one indicator optimisation: the conversion rate. If required, we will consider an evolution to optimise new indicators: average basket value, turnover or click rate so that we can better choose the appropriate moment to display a notification.