SaaSholic news #010
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SaaSholic news #010

SaaSholic news #010

SaaSholic
1 min
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0

What only the CEO can do

CEO is one of the posts most people want to occupy. You can see this just by looking at how many one-employee company CEOs we have on LinkedIn. But behind all this mystique, what does the person with the highest level of responsibility in an enterprise do?

We know the CEO of a company with one employee does everything in their business. But when you are responsible for a company like P&G with hundreds of thousands of employees, where you have a person for each metric you have to look at, what is it that only the CEO can do? It is explained in the text below.

https://hbr.org/2009/05/what-only-the-ceo-can-do

Understanding attribution models

Tracking is one of the never-ending jobs of a marketer. As hard as you try, you’ll never know the source and the steps of all your leads/clients. And even if you could figure out the origin of all your customers, how can you measure the influence that each step had on each conversion?

One of the miracle answers we have about this is to use attribution models. As with any magic tool, you need to pass through a precise ,well-defined process to make the magic happen. Here, Kaushik reveals the secrets behind the magic of attribution models.

https://www.kaushik.net/avinash/marketing-analytics-attribution-is-not-incrementality/

How to scale data

It is easy for organizations to settle into treating data as a set of tools or something a team can implement, meaning that the org thinks it just needs to adopt a new technology or grow the data team in a certain way to fix their data needs. Often the sources of data problems are in other areas.

Working with data is organizing the needles in a haystack; keep them safe, and always know how to find them. So, the process behind scale data requires a clear understanding of the environment so you can see where you are and what you need to get to where you want to go. Enjoy it.

https://www.reforge.com/blog/scaling-data