Digital marketing metrics: general indicators
Posted: Sun May 25, 2025 5:34 am
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How many metrics are really necessary to evaluate the health of our digital marketing and know which actions are working? The answer will depend on the channels we're using and the goals we've set, but it's almost always "fewer than you think."
In the world of digital analytics, quantity doesn't kenya phone number list quality. Instead of creating long-winded reports that accumulate data willy-nilly, it's better to be crystal clear about the numbers we're really interested in and how they're calculated. And to help you out, I've compiled the most important metrics for each type of digital marketing campaign. Ready to get started?
Discover the most important digital marketing metrics . The 130 you shouldn't lose track of! Click here to download the comprehensive ebook.
1) Customer lifetime value ("LTV")
Customer lifetime value is the total benefits a customer will generate throughout their entire relationship with the brand . To calculate it, we multiply the average purchase value by the number of repeat purchases.
How many metrics are really necessary to evaluate the health of our digital marketing and know which actions are working? The answer will depend on the channels we're using and the goals we've set, but it's almost always "fewer than you think."
In the world of digital analytics, quantity doesn't kenya phone number list quality. Instead of creating long-winded reports that accumulate data willy-nilly, it's better to be crystal clear about the numbers we're really interested in and how they're calculated. And to help you out, I've compiled the most important metrics for each type of digital marketing campaign. Ready to get started?
Discover the most important digital marketing metrics . The 130 you shouldn't lose track of! Click here to download the comprehensive ebook.
1) Customer lifetime value ("LTV")
Customer lifetime value is the total benefits a customer will generate throughout their entire relationship with the brand . To calculate it, we multiply the average purchase value by the number of repeat purchases.