🤔 Every email marketing campaign will succeed or fail, but how do you categorize something as a success or a failure? That's where metrics come in: online.datasciencedojo.com/blogs/measure-…
1. A conversion is characterized as a completed action towards a goal. Whether it's signing up for a newsletter or buying a pair of sunglasses, someone performed an action that brought you closer to completing your goal.
2. CTR is the number of clicks on links within your email that take potential customers to a landing page. It could be a button, picture, or text,but the important thing is someone clicked-on something that was meant to be clicked on.
3. The Click to Open Rate (CTOR) measures the number of unique clicks versus the number of total unique opens an email had. Unlike CTR, it doesn't take into account the people who didn't open the email.
4. Unsubscribe Rate, Unsubscribes aren't all bad. In fact, people that unsubscribe are saving you time because you'll no longer be sending an email to someone who won't convert.
5. The bounce rate is the number of emails that "bounce back" after being sent. The person who the email was intended for never receives the email, and the sender receives a message saying the email was never sent.
6. Spam percentage measures the percentage of individuals who sent your email to spam versus the total number of emails sent. The higher the percentage, the more likely your emails will automatically be marked as spam.
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Histogram: The chart above is a simple histogram of the “total_bill” variable. At a glance, we can see that a single meal at this restaurant generally costs around $10 to $25, and there is a positive skew due to some diners ordering more expensive food with prices above $50.
Count Plot: Now, let’s look at the number of male and female diners at the restaurant, to determine the gender that visits the eatery more often.
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1. Numpy is a library that handles data, particularly one that helps us to manage large multidimensional arrays along with a huge collection of mathematical operations.
2. TensorFlow is an end-to-end python machine learning library to run numerical high-end computations.
1.Loguru:Loguru is a library that aims to make logging in Python enjoyable. Loguru provides many interesting functionalities, but one functionality that is the most helpful is the ability to catch unexpected errors and display which value of a variable causes your code to fail.
2. snoop: snoop is a Python package that prints the lines of code being executed along with the values of each variable by adding only one decorator.
1. Growth in adoption of cloud software: As companies in all industries and sizes adopt various cloud-based software to run their businesses, they have had to deal with data sprawl across a number of different sources and systems.
2. Increase in the volume of accessible data: Movement to the cloud and the growth of software users around the world has also generated more data at an exponential rate.