Segmentation, Targeting and Positioning - Learn Customer Analytics

What is segmentation, targeting and positioning? Learn customer analytics, data science, and how the two work together!

Leading companies are always on the lookout for savvy data scientists to join their fast-growing Customers Analytics teams. In that sense, considering a career as a data scientist in customer analytics is a super smart choice. But here’s why exactly:

First, companies need people who know how to use data to understand their customers' needs. Once they understand their needs, they can provide the products customers want to buy.

Second – and that’s a bit more technical – companies need people who have the skills to build the analytics capabilities that will help them provide these innovative customer experiences.

In these videos, we’ll be focusing on the customer part of customers analytics. Why? Because even if you know how to do the technical analyses well, unless you understand the customer, you won’t be able to meaningfully help your company. So let’s build those foundations!

365 Data Science is an online educational career website that offers the incredible opportunity to find your way into the data science world no matter your previous knowledge and experience. We have prepared numerous courses that suit the needs of aspiring BI analysts, Data analysts and Data scientists.

We at 365 Data Science are committed educators who believe that curiosity should not be hindered by inability to access good learning resources. This is why we focus all our efforts on creating high-quality educational content which anyone can access online.

#CustomerAnalytics #Segmentation #Positioning

[PatriciaMorrisey-gb]

Thank you so much for this video. Very instructive.

[akhrorbekibodullaev]

This video is very helpful to my assignment. Thank you

[LindaMoss-rj]

Thank you so much for this video. It was very interesting.

[EsosaOsaro]

Great video even after watching for the first time in 3 years!

[nysasamsuddin]

been working for market research for 2 years, finally can find the summarize overview :P

[raychelleinjete]

I thoroughly enjoyed this video. I've learnt alot. Thanks

[chabearwholesome]

following because how they explain the content and easy to catch up, thx

[akitosohmasama]

I want to have some videos or tutorials about customer analytics like this video. How does the data scientist analyzes the customer based on their behavior, etc? So where must I see the next steps or videos of this video? thanks

[didasssendagi]

@365 Data Science Do you have any Customer Analytics Course using MS Excel

[FM-gitk]

Does your course teach how to find this data? For example using FB audience insights, and other methods of actually finding this data.

[darrellmartinquinn]

Very useful! Watch yours and Vanna Excel together!

[josemfcheo]

What a useful video! Hype for the next!

[inote]

nice content, never missed a video ! keep it up :)

[kimphilipeterosa]

hi what software is used to make this presentation?

[andin]

Hi, does it mean when we make a segment for customer we only chose one of the groups (demographic, geographic, psychographic, behavioural) ?

[sohandahal]

Very well explained, I subscribed immediately.

[hobbylos]

Am I the only one who thought that this guy was scratching his balls on the couch? (Targeting section). But yes great Video!

[priyankarenusharma]

You don't need this much studies for desi sharab in India. 😁Cx are loyal no matter what 😀 they comes back anyway and are loyal AF.