Sure! Bayes' Theorem helps us update our beliefs when we learn new information. Imagine you have two baskets, one with red and blue balls and the other with red and blue balls too, and you randomly choose one without knowing which. If you draw a red ball, Bayes' Theorem helps us calculate the chances that you picked the first basket based on the probability of drawing a red ball from each basket and the original chances of selecting each basket.
The attribution model you choose for your business depends on your specific goals and data availability. Some commonly used attribution models include first touch, last touch, linear, time decay, and position-based models. Consider factors such as customer journey complexity, the significance of different touchpoints, and the desired emphasis on specific channels when selecting your attribution model.
User
Which attribution model do I have to choose for my business?
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Explain to me the Bayes Theorem as if I were a ten-year-old child
Sure! Bayes' Theorem helps us update our beliefs when we learn new information. Imagine you have two baskets, one with red and blue balls and the other with red and blue balls too, and you randomly choose one without knowing which. If you draw a red ball, Bayes' Theorem helps us calculate the chances that you picked the first basket based on the probability of drawing a red ball from each basket and the original chances of selecting each basket.
The attribution model you choose for your business depends on your specific goals and data availability. Some commonly used attribution models include first touch, last touch, linear, time decay, and position-based models. Consider factors such as customer journey complexity, the significance of different touchpoints, and the desired emphasis on specific channels when selecting your attribution model.
User
Which attribution model do I have to choose for my business?
Tablet version
Explain to me the Bayes Theorem as if I were a ten-year-old child
Sure! Bayes' Theorem helps us update our beliefs when we learn new information. Imagine you have two baskets, one with red and blue balls and the other with red and blue balls too, and you randomly choose one without knowing which. If you draw a red ball, Bayes' Theorem helps us calculate the chances that you picked the first basket based on the probability of drawing a red ball from each basket and the original chances of selecting each basket.
The attribution model you choose for your business depends on your specific goals and data availability. Some commonly used attribution models include first touch, last touch, linear, time decay, and position-based models. Consider factors such as customer journey complexity, the significance of different touchpoints, and the desired emphasis on specific channels when selecting your attribution model.
User
Which attribution model do I have to choose for my business?
Mob version
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#analytics
#psychology
#programming
#finances
#languages
#management
20%
average increase in customer retention
25%
average increase in activation rate
35%
average increase in engagement rate
Allow not switch between different sources
Give own deep search
Explain anything you ask
Find the mistakes in the work
Give a feedback
Guide via materials
Don’t want to bother anyone
Managers are unavailable
Want to check themselves
Feel uncomfortable asking questions
Don’t clearly understand what they have to do
Don’t have a help
Enable your customers to get more especially if they
And Eva will
20%
longer stay on your platform
Prevent team burnout
40x
faster customer resolutions
Quicker answer students' recurring questions
60%
reduction in operational costs
Lower your costs with more efficient teams
Optimize your teacher experience
You will be able to
Train Eva
And she will answer as your support team
Fine-tuning
Setup Eva context for each page on your platform
Prompting
Eva give explanations
Teacher mode
Manage your clients' attention
Hints
Eva pushes students to make their tasks
Pushes
Interface customization
Branding
Take analytics to know weaknesses in your business processes
Analytics
Different AI agents for various problems.
Managing
First of all, it's easy
Installation takes a couple of minutes, with no technical skills whatsoever
Secondly, it's cheap
It costs the user a few cents, and no manager salary costs at that