Continuous learning for building profitability

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Learning is another key factor that comes into play in the process of building profitability. An optimization process in marketing campaigns encompasses both human and algorithmic learning . Here's how and why:

Human learning
It often takes time to fully understand a business and its target audience , especially ecuador phone number list working with specialists outside your company. At the same time, advertising platforms require a period of learning through advanced machine learning algorithms.

These algorithms use techniques such as goal-based optimization and resource allocation to improve the effectiveness of campaigns. These algorithms involve real-time decision making based on user feedback. Once they understand who your company's ideal customers are, they search for new potential customers.

At this point, you need to look at how these algorithms work on each account, and then use them in the most effective way possible to improve your ROI . When dealing with platforms, patience is key, as any sudden change or mistake can reverse all the learning acquired.

Learning the algorithm
When starting with the strategy, it is necessary to monitor and evaluate constantly, waiting at least 10 days to make significant changes . This time may vary slightly depending on the platform used. But, that is the time needed to be able to analyze the data obtained and avoid circumstantial factors.

The first data obtained may not be the most qualified. For this reason, a lot of thought and analysis is required when developing accurate tools, which are then also evaluated to determine whether further changes are necessary. This whole process can take quite a while and should not be rushed.