Today’s announcement comes a few months after Travelport announces a distribution deal with Ryanair and reinforce Ryanair’s Strategy to get a bigger slice of the business travel pie.
Today’s announcement comes a few months after Travelport announces a distribution deal with Ryanair and reinforce Ryanair’s Strategy to get a bigger slice of the business travel pie.
To create desire for your product, you need to: – show people how using your product or service will either reduce pain or increase pleasure in their lives – reassure them that is a perfectly acceptable behavior to undertake. Airbnb creates desire for their service by using beautiful product images. By using professionally-shot photographs that showcase the properties at their absolute best, they increase individual incentive to stay at one. -> Adding appealing images, Airbnb increases expected pleasure/perceived quality and social approval for these non conventional accommodations.
To create desire for your product, you need to: – show people how using your product or service will either reduce pain or increase pleasure in their lives – reassure them that is a perfectly acceptable behavior to undertake. Airbnb creates desire for their service by using beautiful product images. By using professionally-shot photographs that showcase the properties at their absolute best, they increase individual incentive to stay at one. -> Adding appealing images, Airbnb increases expected pleasure/perceived quality and social approval for these non conventional accommodations.
With the advent of Big Data and faster and better data processing capabilities we are seeing a surge in predictive intelligence solutions; everyone is trying to predict the future to their advantage. The question though is, are they? Can the future be predicted? The main issue I have with predictive intelligence and “the next best …
The biggest shortcoming of predictive intelligence is that it looks for buying patterns to make “relevant” offers. The idea is that if it happened once in the past, will happen again in the same way. The main problem of Predictive intelligence is that it is not possible to complete replicate twice the context and intent, the most advanced predictors of behavior, in which the buyer acts.
A new model, anticipatory intelligence, tries to account for context, intent, but more importantly for the many different possible scenarios – instead of next best step, tries to derive nextmost likely scenarios all with different likelihood of happening, and present them all as anticipatory steps.
With the advent of Big Data and faster and better data processing capabilities we are seeing a surge in predictive intelligence solutions; everyone is trying to predict the future to their advantage. The question though is, are they? Can the future be predicted? The main issue I have with predictive intelligence and “the next best …
The biggest shortcoming of predictive intelligence is that it looks for buying patterns to make “relevant” offers. The idea is that if it happened once in the past, will happen again in the same way. The main problem of Predictive intelligence is that it is not possible to complete replicate twice the context and intent, the most advanced predictors of behavior, in which the buyer acts.
A new model, anticipatory intelligence, tries to account for context, intent, but more importantly for the many different possible scenarios – instead of next best step, tries to derive nextmost likely scenarios all with different likelihood of happening, and present them all as anticipatory steps.
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