Not all participants in an event necessarily need to view the same content, receive the same information, or follow the same path.
With AppCraft, targeting goes far beyond simple segmentation by participant category. A participant’s profile, form responses, selections made, status, access rights, or a combination of these criteria can determine what a participant sees or receives.
However, this advanced customization can make configuration more complex. That’s where artificial intelligence comes in: the organizer describes the desired logic in natural language, and the AI helps generate the corresponding conditions.
The goal: to make complex event workflows easier to build, without taking away the organizer’s control over their logic.
A single event can bring together participants with very different backgrounds, needs, and life experiences.
An employee, a speaker, a VIP, or an exhibitor does not necessarily need access to the same information.
Conditional display allows the elements shown or accessible to be automatically adjusted according to rules defined by the organizer.
The goal is simple: to deliver the right content to the right person at the right time, while managing the various customer journeys from a single event platform.
Customizing an event isn't just about creating a "VIP," "employee," or "exhibitor" category.
With AppCraft, conditions can be based on much more specific criteria and can be combined with one another.
In particular, the logic can take into account the participant's profile, their responses to a form, the choices they have made, their status, their access rights, or various data available throughout their journey.
This makes it possible to create more nuanced rules to tailor the participant's experience to the specifics of each event.
The value of conditioning becomes particularly apparent when multiple criteria must be applied simultaneously.
Let's take an example: an organizer wants to display information only to participants who belong to a specific group AND who have provided a specific answer on their form, or send a message to people who meet several criteria defined in their path.
These combinations make it possible to create highly personalized experiences.
But the more rules there are, the more time-consuming and complex it can become to configure them manually.
It is precisely at this stage that artificial intelligence can assist the organizer.
Instead of manually creating each rule, the organizer can describe what they want to achieve directly in natural language.
For example: “I want to display this content only to participants who have selected Workshop A and meet the criteria defined for this track.”
AI then helps translate this request into actionable conditions within the event configuration.
This allows the user to start with their business logic, rather than having to begin by translating that logic into a series of technical parameters themselves.
This is an important point: the goal is not to let artificial intelligence determine the participant's experience.
The logic is still defined by the organizer.
He is the one who knows his event, its attendees, its constraints, and the experience he wants to create.
AI acts as a configuration assistant: it helps to more quickly transform an intention expressed in natural language into rules that can be used within the platform.
This approach allows for continued human control over the process while simplifying its technical implementation.
When an event involves numerous populations and customization rules, manually creating conditions can account for a significant portion of the configuration work.
AI-assisted generation aims to reduce repetitive tasks and the time spent translating each requirement into terms and conditions.
This allows the organizer to spend more time designing the course and less time configuring it.
This becomes particularly important for events involving numerous scenarios, criteria, or combinations of rules.
Framing is not limited to a single aspect of the event.
Depending on the configuration in place, this approach can help personalize various stages of the customer journey: forms and registrations, content, communications, practical information, programs, access, or elements displayed to participants.
A single piece of data or a single choice can thus help create a consistent experience throughout the event.
The goal is no longer simply to segment a participant base, but to tailor the experience based on information relevant to each individual.
Let's imagine an event that brings together several groups of people with different programs.
When registering, a participant fills out a profile and provides various details. Based on this information, certain conditions may then determine which information, content, or program elements are presented to the participant.
Another participant, with a different profile or different responses, can thus follow a different path, without the need to create a separate event for each group.
The organizer maintains centralized management while offering multiple experiences within a single event.
For groups with different backgrounds, having conditions within a single event avoids the need to organize multiple events. An employee, speaker, VIP, or exhibitor can thus view different content, information, or program elements depending on their profile, their responses during registration, or their selections. The organizer maintains centralized management while offering multiple experiences. This approach is particularly useful when there are numerous groups, criteria, and scenarios. If the need is limited to distinguishing between just a few categories of participants, simple segmentation may suffice.
You must describe your business logic in natural language, specifying what should be displayed or sent and to whom. For example: “I want to display this content only to participants who have selected Workshop A and meet the criteria defined for this track. ” An effective request specifies the relevant criteria (profile, form responses, selections, status, access) and how to combine them—for example, a specific audience AND a specific response. The generated conditions can then be applied at various stages: registration, content, communications, practical information, the program, or access.
AI helps translate a logic, but it does not define it in place of the organizer. The organizer is the one who knows their event, its target audiences, its constraints, and the intended experience. A vague intention will therefore struggle to produce relevant rules, and the generated conditions must remain under the organizer’s control. Furthermore, the benefit is proportional to complexity. It becomes significant when rules multiply and combine, as configuring them manually becomes time-consuming. For an event with few target audiences and few rules, manual configuration often remains straightforward.
