Our machine learning algorithms will perform a traffic analysis and will suggest the most relevant audiences for your website.
If you don’t want to use technical metrics to create audience membership conditions yourself, we offer “suggested audiences”. These audiences are composed by us, and directly available for use once they appear in your dashboard. They will contain members from the start, so you can use the audience immediately.
After you signed up, you will find these audiences in your active audience list by default.
After just a short time (depending on your traffic volume), we start to auto-detect and suggest audiences for you. They come in two kinds: relevant and intuitive audiences.
We will suggest audiences based on relevance, using metrics like:
These audiences will automatically appear after they have become relevant: with a minimum number of members and if the segment size makes sense to personalize for. This typically happens if the audience is sizable, but not too big. We may surprise you with the results.
Human metrics will allow you to segment your traffic like an intuitive sales rep: we will automatically group your visitors by the probability of visitor success, their attention span, their expected engagement or the likelihood that they will come back later. The first intuitive audiences are based on predicted customer success.
Depending on traffic and if you created at least one goal, black-box audiences will appear that will group visitors by the probability of conversion. These audiences contain your potentially most successful visitors - your hot leads. The audiences are based on machine learning patterns and will improve over time.
Depending on your goal type, you will see:
You can use these audiences across your websites and across your goals. Different behavior for each of those will be applied by the algorithm automatically. Soon, we will also add “Least likely to…” audiences, so you can also decide what to do with your cold leads.