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You have completed Introduction to Churn and Lifetime Value (LTV) Analysis!
You have completed Introduction to Churn and Lifetime Value (LTV) Analysis!
Preview
We introduce Cohort Reports, a graphical way of displaying data.
Example Files
- Click this to open a copy of the Cohort Report in the video
Additional Resources to Learn More About Cohort Reporting
- Hsu, Jonathan (Oct 2015). Diligence at Social Capital Part 4: Cohorts and (engagement) LTV
- Stancil, Benn (May 2015). Cohort Analysis That Helps You Look Ahead
- Han, Patrick (Sep 2017). A Beginnerβs Guide to Cohort Analysis: the Most Actionable (and Underrated) Report on Google Analytics
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Here we are looking at what
is called a cohort report.
0:00
A cohort report looks at different
groups or cohorts of our customer base.
0:04
In this example they are separated
out based on the month
0:11
that they first started using our service.
0:14
We call these monthly cohorts.
0:17
Along the y-axis in column A, we can
see the month that they signed up in.
0:19
And in column B, we can see the number
of customers that are in that cohort.
0:26
Then, going along the x-axis, or
0:32
row 3 in our example spreadsheet, we have
the monthly billing point of the service.
0:35
So in our July 2017 cohort, there were 74
customers that started paying us in July.
0:40
The data is showing the average
realized lifetime value of the cohort.
0:47
I'll explain what realized means in
this context in the next video.
0:51
But before that, let's look at
this cohort report some more.
0:56
We see that our first cohort, in
November 2016, we had 75 people sign up.
1:00
On average, each of those people
paid us $1,500 that first month.
1:08
Then the following month on average
each of those 75 people paid
1:14
us $2,471 over the course of those
two months for billing cycles.
1:19
You read the report the same for
all the different cohorts.
1:25
For the cohort in December 2017,
1:30
those 45 new customers on average
paid us $1,544 on the first month.
1:33
By the sixth month,
those 45 on average have paid $4,849.
1:39
So this is showing a cumulative
total of what we've
1:44
collected from the average customer
in that cohort over the time frame.
1:50
When you look at this data,
does anything stand out to you?
1:57
Pause the video and look at it.
2:02
Not for too long, just a minute or two.
2:03
How does it fluctuate by cohort and
over time?
2:07
Okay, welcome back.
2:10
There are lots of things that
might have jumped out to us.
2:12
But the answer I was looking for
is that this business
2:15
doesn't appear to have a set rate cart,
subscription price, or monthly fee.
2:18
Or to put it in different terms,
the ARPU is fluctuating month to month.
2:23
The first month payment is different for
every cohort.
2:28
It also does not scale linearly,
based on a set monthly fee.
2:33
So this suggests that the pricing for
2:38
this product is based on some
component of usage or consumption.
2:40
Maybe there is a satellite card or
2:46
minimum monthly payment with
an additional charge based on usage.
2:49
Or perhaps this is a cohort report for
different tiers of service, and
2:53
we just aggregated all new customers
from a given month into this report.
2:58
Let's contrast the Monthly
tab with the Annual tab.
3:03
On the Annual tab, we can see a clear
linear evolution for each cohort.
3:08
When their contractual obligations
terminate at the end of the year,
3:15
some renew and some don't.
3:19
So for example, we see the different
3:23
realized LTVs in billing cycle 13 here for
the different cohorts.
3:26
The larger the number here,
such as the more renewals there were,
3:31
less churn, higher retention.
3:36
And we can see here for
the January 2017 cohort,
3:39
the realized LTV didn't change at
all from month 12 to month 13,
3:44
suggesting no one was retained and
everyone churned.
3:48
There are a lot of different types of data
you can see presented in cohort reports.
3:52
ARPU, Churn, LTV, Activity,
3:57
Temperature, there's just a lot you can
present with these types of charts.
4:00
Also, you don't always have to
use a time frame on both axes.
4:05
Maybe you want to look at
months across the x-axis,
4:11
but different acquisition
channels along the y.
4:14
So you can compare how your earned
acquisition channels compared to paid.
4:17
In the teachers' notes you will find link
to a few articles on cohort reporting that
4:21
includes some additional
real world examples.
4:26
Let's move on to the next video and
and introduce what realized LTV means.
4:30
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