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Trialectics

Optimize

Consumer data is worth money, but acquiring it also costs money in foregone sales, so our algorithms ensure that you don’t pay more for data than it’s worth.

Reinforcement Learning

Even firms without large databanks can generate their own data by observing user behaviour as we change parameters, like the colour of a logo. There’s no need to muck around with analytics: just leave the experimenting to an algorithm.

Evolutionary Marketing

Consumer preferences are constantly adapting, so that marketers need to run as fast as they can just to stay in the same place. Keep up with the times, and stay curious, rather than just doing what you’ve always done.

Portfolio Management

When investing your limited budget in a set of options whose payoffs you are still learning, get the most value for your money while remaining agile as the market changed. Base your decisions on real-time data, rather than office politics.

Automatically Learn As You Go

For events like one-day sales where you don’t have time to experiment, dynamically allocate traffic rather than going all-in on one marketing strategy

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