Services: Behavioral Analytics, VEGA Score & Conversational Commerce
VEGA combines three building blocks into one solution: Behavioral Analytics makes your visitors' behavior readable in real time, the VEGA Score translates it into a measurable emotional state, and Conversational Commerce turns it, at the right moment, into a conversation that leads to a close.
Behavioral Analytics
What is Behavioral Analytics?
Behavioral Analytics is the analysis of website visitors' actual behavior. While classic analytics tools count what happens (page views, clicks, bounces), Behavioral Analytics goes a step further and asks why: why does a visitor linger, why do they hesitate, why do they abandon their journey. Individual interactions become recognizable patterns that reveal interest, intent, and satisfaction.
The crucial difference lies in the nature of the data. Behavioral data isn't surveyed or estimated, it emerges directly from what visitors actually do, which is why it's considered an especially reliable basis for predicting the intent behind an action. Modern methods rely on machine learning for this: they continuously process large volumes of interaction data and detect connections within it that would stay hidden from a human observer.
How VEGA uses Behavioral Analytics
VEGA understands your visitors' behavior in real time, identifies critical moments in the buying process, and makes them specifically improvable. What sets it apart: VEGA measures not just actions, but the emotional state behind them. It's built on an AI developed over years together with the Austrian Institute of Technology (AIT) using real human data, making measurable something long considered impossible to measure — a visitor's emotional connection to what's on offer.
This insight opens up room to act: where classic analytics shows in hindsight that revenue was lost, VEGA reveals in the moment it happens why, and makes it possible to course-correct. More orientation leads to more trust, and more trust leads to measurably more revenue, without any extra advertising spend. Throughout, VEGA stays 100 % GDPR-compliant and stores no personal data whatsoever.
The VEGA Score
What the VEGA Score measures
Every person carries an inner state while shopping online — an interplay of interest, purchase intent, and uncertainty that decides between a purchase and a bounce, and that has escaped measurement until now. This is exactly where the VEGA Score comes in. It reflects the quality of a visitor's emotional connection to the range on offer and to the retailer, and is re-measured at every point in the session.
The score shows three central states: low interest, concrete purchase intent, and emerging uncertainty. It was developed over years together with the Austrian Institute of Technology (AIT), based on observing real people. This makes measurable a dimension that classic tools can't capture: not what a visitor does, but how they feel while doing it.
Why the trajectory matters
Psychology tells us that every decision process unfolds in two phases: an emotional phase, in which interest in a product forms, and a rational phase, in which that decision gets questioned again. It's exactly in this second phase that doubts arise — “Do I really need this?”, “Could I get it cheaper elsewhere?” — and many ready-to-buy visitors abandon their original decision after all. The VEGA Score makes this trajectory visible and detects when uncertainty rises despite high purchase intent.
If uncertainty climbs at a critical point, VEGA can automatically trigger the right action to keep the visitor on the page.
This turns the VEGA Score into a traceable mirror of what's really happening on a website.
Conversational Commerce
What is Conversational Commerce?
Conversational Commerce means commerce through dialog — selling and advising in a direct conversation, instead of the pure self-service of a classic online shop. In an era shaped by self-service and maximum automation, the personal, human-to-human conversation is experiencing a renaissance. Numerous studies and case reports show that online retailers offering the option to ask questions or get advice see significantly better close rates than fully automated shops trimmed purely for efficiency.
The need for this is real: consumers have learned to talk with AI and get advice, and increasingly expect that same support on websites too. They want to find, not search — and get the right answer at the right moment. At the same time, skilled advisory resources are scarce and costly for every provider. Their use therefore has to be planned wisely: it takes sound criteria to recognize which visitor still wants to browse undisturbed and who is right on the verge of a purchase decision. The latter want, on the spot, a capable point of contact who can deliver the decisive nudge toward closing.
How VEGA implements Conversational Commerce
This is exactly where VEGA comes in. The AI identifies a visitor's purchase interest and signals when action is needed. Before a visitor threatens to leave, VEGA can, for example, offer advice or a conversation via a pop-up — or an additional incentive like a temporary discount. The response is tailored to the visitor's situation: a new visitor with no discernible purchase intent is guided differently than an interested, confident visitor, for whom the right recommendations ease the close — and differently again from a ready-to-buy but uncertain visitor, where targeted support or a handoff to a human advisor prevents the drop-off.
Because VEGA only steps in when it truly helps, it avoids unnecessary interruptions just as much as the frustration of missing information. Natural-language connections to ChatGPT or other services can also be integrated as needed. Across all of this, VEGA preserves visitor anonymity, while every interaction feeds the AI's learning process. This makes it possible to get the most out of already existing visitor traffic — with no extra advertising spend.
Curious what these three building blocks could mean for your website?