Discover how the generative artificial intelligence of Audience Assistant can help you filter your contacts quickly, even with advanced logic. You can create specific audiences for your campaigns and get more and more information about your target audience.
Not always a trivial task
The first campaigns often target your entire database or are subdivided by language or genre. As your initiatives evolve and you need to be more relevant, the audiences become more and more complex and articulated.
With magnews, you can filter and create audiences on a wide range of attributes, characteristics, assets, tags and behavioural elements. This makes the process more flexible, but also more complicated at times.
Examples of complex audiences
Here are some examples of audiences you can create:
- Customers who have made a purchase in the last 30 days, with an average receipt over €60 and interested in women's fashion
- Contacts who have interacted more than once with the tag ‘bags’ but have never purchased products in the ‘BAGS’ category
- Contacts who clicked on the communication ‘Summer Sale July 2024’, did not interact with ‘Winter Sale January 2024’ and have never made a purchase
- Registered contacts, with low engagement, who have not opened communications for more than a year.
These examples require the use of multiple filters involving contact attributes, behaviour and order history.
Audience Assistant to your rescue
Thanks to Audience Assistant, creating an audience becomes as immediate and simple as writing it. Within Profile Studio, in all contact list sections of any database, you can use Audience Assistant and describe the target audience you want to reach. Artificial intelligence will take care of transforming the description into a series of filters and logical connectors (AND, OR, NOT).
Next to the classic Filter button, you will find the AI button. Enter the audience description and press the Go button to launch the filter generation.
Once you have entered the sentence, more or less long and articulate, describing the Audience you want to achieve, pressing the Go button launches the generation of the filter.
After a few seconds, the AI interprets the sentence, breaks it down and translates it into clauses on the various attributes and fields of your account. The filter is generated and applied immediately, showing the resulting clauses and number of contacts.
It is important to check that the AI has interpreted all indications correctly and has selected the right attributes and fields. You can work on the filter, adapt or enrich it to obtain the desired result.
Using the filter
Once the filter has been set up you can:
- create a dynamic Audience built with the rules you have identified
- use Audience Insights to find out more about that group of contacts and better align your campaign strategies to the right targets
- use the Audience as a target for your campaigns and automation
Examples of the use of Audience Assistant
eCommerce Scope
We are in the eCommerce domain and we want to create an Audience with all the contacts who are members, have made more than 10 purchases in their history, with an average receipt of more than €60 and the last purchase made in the last year or with an average receipt of more than €200 and the last purchase made in the last 3 years.
To do this, we can either work on the sides of the filters as we always do, or we can get help from Audience Assistant, at least for an initial construction of the rules; let us then try to tell our target audience to the assistant.
The intelligent assistant reasons out the request based on all the attributes available in the database, proposing the filters and related conditions that best suit the request.
In this case, it correctly interprets both the fields to be used and the advanced AND and OR logic with which to put together the various rules.
In any case, it is always better to check both the fields selected and the values entered on time, as the interpretation is not always precise.
Still in the field of eCommerce, we can reason about all male customers, belonging to the millennial generation, who have made at least one purchase in the last 90 days.
Interesting to note that in this case, the Audience Assistant, with the support of generative artificial intelligence, correctly interpreted the concept millenials, breaking it down into two rules on the date of birth of the contact in the correct period.
Non-profit field
In the non-profit sphere, on the other hand, the Audience Assistant can help us create clusters based on the data of our donors and their donations or relevant actions performed; for example, we want to create an audience with all donors who have made at least one donation in the last year, with an average donation of more than 100 € and who have purchased solidarity gifts.
The intelligent assistant reasons out the request based on all the attributes available in the database, proposing the filters and their conditions that best suit the request.
In this case, it correctly interprets both the fields to be used and the basic AND and OR logic with which to put together the various rules.