AI Features in Activations

“What To Measure”

You can now add KPIs for activations that measure changes in AI Features, whether they are pre-built by Wandz or custom ones you’ve created. This opens up new ways to measure the effectiveness and ROI of your activations. For example, you can track the portion of visitors who open another tab following an Interaction you launched, giving you more insightful data on user behavior and engagement. 

AI Features in Prediction Models: 

You can now use AI Features in the Prediction Models you create in Wandz. This allows you to predict if a certain AI feature—either provided by Wandz or a custom one—is going to change to a specific value. This enhancement adds to the richness and power of the prediction models, enabling you to make more accurate forecasts and data-driven decisions.

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This feature enables seamless collaboration by allowing you to share specific pages or sections of the platform with clients and stakeholders—whether or not they have a Wandz.ai account.

For the first time, clients can share these pages internally with team members, including those outside the platform, promoting broader alignment and transparency.

How it works:

• Sharing with Wandz.ai Members Only
   Grant access exclusively to logged-in Wandz.ai users. Anyone without credentials will be blocked, ensuring strict content control and data security.
  
  
• Sharing with Non-Members
   Enable external access via a secure, public link. Logged-in users retain full access to the platform, while non-members view the shared content in an interactive, read-only mode—with no ability to edit, delete, or navigate outside the shared section.

This functionality empowers smarter, more inclusive collaboration—without compromising platform integrity or data governance.

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We have updated the way scoring functions are displayed—now shown as percentages—and introduced a new capability that allows clients to build audiences based on the raw function score, rather than just the true/false decision of the model. This enables more refined audience segmentation and activation.

Why it matters:
More flexibility to define and activate highly targeted audiences based on prediction models scoring values.

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We’ve enhanced how prediction model scores are presented—now displayed as raw, percentage-based values.

This update allows for easier interpretation of user likelihoods and segment performance, enabling more accurate and data-driven decisions.
Gain deeper insights and achieve greater precision in your audience analysis.

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Dynamic Date Selection for Wandz Activations 

Clients can now choose from predefined or custom date ranges when configuring activations—enabling more precise analysis of performance over specific time periods.

Why it matters:

• For clients: Greater control over performance evaluation, with the ability to compare interactions across defined timeframes and uncover actionable trends.
• For client-facing teams: Deeper visibility into behavioral patterns, empowering smarter, data-driven recommendations for optimizing activations.

Focused analysis. Sharper insights. Better outcomes.

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You can now define a Secondary Target for your activations—currently supported for Wandz Interactions and Custom A/B Tests. This enhancement allows clients to run a single experience while measuring multiple KPIs, enabling a more comprehensive view of impact and performance.

Smarter measurement. Deeper insights. More informed decisions

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Configurable Data Persistence

This feature allows clients to define how long each data element is retained within the customer journey before it is reset or recalculated. 

For example, if a user qualifies for a specific segment, the persistence can be set for the session, a defined time window, or indefinitely.

This capability applies across all layers of the platform, enabling greater control, precision, and adaptability in customer experience design.

Use cases are highly flexible and can be tailored to your business needs—let’s explore them together in our upcoming sessions.

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Improved Design for Creating Custom AI Features 

We've redesigned the Custom AI Feature creation flow to make it significantly more intuitive.  

It’s now easier than ever to build features from scratch or quickly locate and import existing ones from browser storage or external vendors. 

Faster setup. Smarter access. Greater control.

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You can now create events that detect when a visitor views, clicks, or closes a Wandz.ai Interaction—either a specific one or any interaction type. 

These events can then be used to build audiences and power more adaptive, personalized experiences.

Each event can combine multiple conditions, including:

• Page-level triggers (e.g., URL visited, page title, section)
• Clicks on any HTML element
• Interaction-specific events (view, click, close)

Leverage user behavior to drive smarter segmentation and engagement.

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The upgraded Events Builder allows you to trigger events not only based on user interactions but also on specific page-level conditions—such as when a visitor lands on a particular section, URL, or a page with a defined title.

We've also introduced support for "AND" logic, enabling the configuration of event sequences that must occur together on the same page. These events are stored in memory within the page context, allowing for more precise behavioral targeting and journey orchestration.

Build smarter, more contextual event logic—tailored to real visitor behavior.

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