http://tomblomfield.com/post/81105143223/customer-churn-can-kill-your-startup
The thin cohorts at the bottom of the graph are the loyal users who
signed up at the start, and who are still paying for your service 18
months later. The orange tip in the top-right are the users who just
signed up, and have only contributed to revenue in month 18.
If you simply looked at the top-line of the graph (total
monthly revenue), without considering the cohorts, you’d think the
high-churn business was doing much better until at least month 13-14.
But one-and-a-half years in, it’s clear that the low-churn business is
on a path to success, while the high-churn business needs to execute a
substantial pivot to avoid failure.
Startups are about growth, and
of all the different possible metrics, startups often focus on user
growth - if people aren’t using your new product or service in greater
and greater numbers, it’s a good sign that you’re not on the right
track. And, as long as your business-model is solid, user growth is a
leading indicator of revenue and profit growth.
But there’s another key metric that can be the making of
your company, or the death of it - churn, or the proportion of existing
customers who become ex-customers during a period of time (generally a
year).
In the early days, it’s very hard to measure your churn
because you simply haven’t been around long enough. The early revenue
growth curves for high- and low-churn companies may look identical.
In fact, high-churn businesses often have exceptionally
impressive growth numbers in their first months or years because they’ve
found some viral loop, the crack cocaine of startup-land, which
provides an explosive catalyst for new-user acquisition.
However, problems often start to appear after the first
year or so - occasional weak months look exceptionally bad, since your
business model relies on new customers in the top of the funnel to
replace those flooding out. And even if you manage to keep finding new
people to push into the top of your funnel for several years, you will
eventually churn through your entire addressable market.
Then your business implodes.
The prime examples are Zynga and Groupon - both of which have been catastrophically failing over the last year or two.
Conversely, low-churn businesses often have relatively
modest initial user-acquisition growth curves. Often, the nature of
low-churn businesses (in particular, high switching costs) makes it
incredibly hard to gain your first few users before you’ve established
credibility. However, these same hurdles present considerable long-term
advantages, and the occasional slow month in terms of user-acquisition
still increases monthly revenue. Once you’ve built up a loyal customer
base, it becomes an extremely attractive business model - costs are
often fixed & up-front, and the marginal cost to serve each customer
every month is minimal.
When talking to startups, my favourite graph to look at is
their revenue by monthly cohort. That is, splitting each months’
revenue by the month in which it the users originally signed up to the
service.
In a low-churn business, the graph looks like a
layer-cake, with each new month of users adding a layer of revenue on
the top of the business.
In the best low-churn businesses, the revenue provided by each cohort can actually grow over time - each cohort gets “fatter” - if you can successfully up-sell new services.
In a high-churn business, the cohorts decay alarmingly
quickly, and once new-user acquisition starts to slow, the business
implodes.
Indicators of Churn
So what are the characteristics of high- and low-churn businesses, and what techniques can you use to minimise churn?
High Switching Costs
- if it’s slow, painful & costly to switch providers, you will
experience very low customer churn. This is clearly the case with retail
banks, email providers and recurring payment processors. I still bank
with the same provider I chose 15 years ago, despite their crappy
service and barely-functional website.
New competitors have developed clever tactics to solve
this problem - developing onboarding tools to reduce switching costs, or
focussing on new customers before they’ve committed to an incumbent
provider. This is one reason Stripe focusses so hard on serving other
startups, and banks target teenagers.
Strong Brand Loyalty / Personality - the best brands position themselves as expressions of their customers’ personality.
Cigarette companies and beverage manufacturers are the
best example of this - products are often indistinguishable from each
other, and the switching costs are minimal. The customer can just reach
for a different can on the shelf. Companies combat this by investing
heavily in marketing to position their products in customers’ mind as
extensions of themselves.
There’s an interesting phenomenon in the drinks industry
where a couple of faceless mega-corps control a wide variety of
incredibly powerful brands with basically indistinguishable underlying
products - MillerCoors and Anheuser Busch.
Sales Architecture - the way
a product is priced & sold is often designed to minimise churn.
Gyms & dating sites are the best examples here. People come out of
the Christmas & New Year vacation period feeling unhealthy, lonely,
and determined to change. One large dating site books over 70% of its
annual revenue in the first quarter of the year.
So What?
To some extent, you’re stuck with the churn inherent in your industry. But you do have some level of control.
If you enter a market like payment processing, be prepared
for the long-haul. You’ll likely struggle to establish your credibility
early-on, and finding innovative ways to acquire new customers be
vital. You’ll need to raise significant amounts of early capital to
invest in infrastructure that will only start to pay off years later.
If you’re part of an industry in which you can acquire
customers incredibly cheaply and monetise them quickly, you’ll generally
need less early capital. You’ll often reach profitability very early
on, and it may fee like you’re on a startup rocket-ship. But make sure
you’re providing sustainable, long-term value to your customers,
otherwise you risk running out of fuel and crashing painfully back to
earth.
Discuss this post on Hacker News
Comments
Post a Comment