Segments

So, can you look at this customer data set and automatically discover market segments and automatically group your customers into different market segments so that you can automatically and more efficiently sell or market your different market segments together?

Line segments

Vectors Segments

So, you can sell to them separately or serve your different market segments better.

Change segments to curves

Change segments to lines

This lecture is organized into three segments.

I've organized this lecture into two segments.

And today's lecture is just two segments.

One is market segmentation, where you may have a database of customers and want to group them into different market segments.

And this lecture is organized into two segments.

So today's lecture is, organized into three segments.

The length of segment AB must be the same as the length of segment DC, and both segments are horizontal segments.

In this lecture, I've organized it into two segments.

So this first lecture will be organized into two segments.

Each work that I make is comprised of three segments.

AC is splitting DB into two segments of equal lengths

When you have a site like Facebook that has features all over it, that's the result of having to meet so many different segments needs.

And this is in fact kind of an example of market segmentation where you're using K Means to separate your market into 3 different segments.

I decided to cut this very big undertaking into three segments.

What pains and gains are you creating for what customer segments?

So in understanding our customer segments, it was really helpful to pictures up and as we build an archetype of who our three potential customer segments are.

We've talked about value props, customer segments, channels, customer relationships, revenue streams.

We aren't going to try to collapse everything into two minute segments.

Now, the last piece in understanding customer segments is understanding their pains.

Now, genes are short segments of DNA that code for amino acids.

Generally speaking is measurement, but I'll break this lecture up into two segments.

The lectures will be in short video segments followed by easy comprehension questions.

Different because of different local, different resolution, different font size, or different speed.

So number one, as you can now see that there are not only two customer segments, but there are two value propositions, that is, there is a value proposition that matches each one of the segments and there's a revenue stream that matches each one of the segments.

Different, (Laughter) more different, (Laughter) still different.

They thought that their customer segments was going to be professional sports game attendees.

They have different food, different culture, different art.

Different people have different ideas.

Different strokes for different folks.

Different strokes for different folks.

looking different and being different.

Different neurons for different locations.

And different times, different generations.

I could actually price on specific customer segments or on features I know they need.

We know what percentages scores fall in certain uh, segments or intervals of the distribution.

If I add up all of these segments, right what do they add up to?

We've already talked about value propositions, customer segments, distribution channels, customer relationships, and revenue streams.

So let's follow our Jersey Square team and see what they did with customer segments.