A “Nudge” is a signal, contextual or environmental, that influences and bring changes in people’s behaviour or decision making.

Leveraging on different strategies e.g. default setting, information as incentive and right context, companies are able to influence consumers’ behaviour.

Nowadays, in a digital driven society, individuals haven’t time anymore for processing each decision. They, in fact, rely on social cues and heuristics for decision makings, therefore their behaviour are easier to understand and to predict.

People make a huge amount of (data-recorded) decisions every day, and each decision is a personalised nudge opportunity for companies.


1. Influence your customers for better choices.

Choice architecture and environment design are pervasive and unavoidable, as main influencers of unprocessed choices.

Data science made possible to reconstruct both the choice architecture and context, by registering customers actions and choices from every single interaction with smart devices,  through geo-tagging and browsing data.

Data from customers get registered with pattern-recognition approaches and it gets divided in…. Find out more!




Everyday marketers get huge amounts of data from fast-moving web environment. To be competitive they need accurate micro-targeting and acting effectively on true one-to-one basis, while ensuring higher ROI to their companies (and to their CFOs).

To play with metrics is not an option when it is a matter of market and revenue shares.

Marketers aim is to show hyper-relevant and hyper-meaningful content at the right time through the right channel, and on the right device.

Getting information displayed in nice infographics is only half of the solution, and cluster indicators are not a valid solution for effective communication.

Then, is there a solution to maximise advertising effectiveness and get higher ROI?  

Yes. Implementing Decision Engine and Predicting Behaviour models.

A Decision Engine is a powerful search engine that gathers and elaborate inputs from users retrieving what will be more relevant for them. Its technology combines rule-based filters with predicting behaviour models. When does it works?

A decision engine works when it gets capable to respond to customers quicker, and more coherently with their latest registered actions. It is more likely to happen when it deploys predicting behaviour models and artificial intelligence, because these analyze in depth engagement, communication channels and audience psychography and allow to forecast accurately customers’ behaviour.

How Decision Engine suggest customers the right solution? Basing on profiling data….  Find out more!





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