Customer churn can kill your startup
tomblomfield.com
tomblomfield.com
1. Network effects: Your product is a key (or highly integrated) part of an industry's value chain.
2. Process lock-in: Your product is a key (or highly integrated) part of your customer's work flow/process.
3. High ROI and/or Low Cost of Ownership for the Customer: Use of your product generates compelling economics for the customer.
4. Behavioral lock-in: The network effects are eroding, the work flow is changing, and the ROI is shrinking, but the customer still uses your product out of habit/familiarity/convenience/culture/loyalty/etc.
I always had a problem with Groupon's model, but I couldn't explain it as well as the author did.
I think people often lose sight of the most important part of a business, that your customers really enjoy and like it, this makes sure they stick around.
Groupon's problem is that no one really gets a lot of value out of it. The businesses that use Groupon often don't see the customers returning and they usually lose money from the Groupon promotion.
Even people who use Groupon often complain that the business can't handle the massive rush that Groupon causes, so they usually have a subpar experience when they actually try to use the discount.
Groupon is only really good for one party, Groupon. Everyone else is left with a bad taste in their mouths.
I'd be interested in knowing what he used to create these graphs, and if they have a special name.
It's a form of cohort analysis, and I've heard the graphs called "Cohort Revenue".
It's pretty simple to construct - you can download the Excel file I used at http://www.filedropper.com/churn
EDIT: I downloaded the cohort data for my SaaS from Recurly and injected all this into a google spreadsheets. With maybe 10 minutes of work I had my data, and it's pretty good. Thanks again :-)
I just made our cohort graph yesterday in keynote, based on data exported from Stripe.
The input for the graph is a very simple table. One row for each cohort (or colored bar in the graph), and one column for each month in your timeline. In the cells you simply put the amount of revenue you earned from customers in each cohort in that month.
Am I wrong here? Is there some sort of viral concept for business-to-business companies?
EDIT: Just to clarify what I mean by the fuzzily defined term 'media companies', I mean companies whose product is in one of the low/no fee media spaces, like social media or digital media.
There are b2b companies with very high churn (Groupon's merchant acquisition is arguably an example) and those with very low churn (Stripe, GoCardless).
As an aside, there are some b2b companies with a pretty high viral coefficient. B2B invoicing platforms are a good example - a business might bring all of its suppliers/customers onto a platform. This is basically Tradeshift's strategy.
I think viral is a loaded word.
A great way to see how you can reduce customer churn and increase customer loyalty is actually asking if your customers would recommend your business to a friend or colleague. Since word of mouth is very valuable, knowing where you rank on a scale of 0-10 can be insightful in understanding how to improve your business.
One system to manage such engagement is called Net Promoter Score (http://en.wikipedia.org/wiki/Net_Promoter).
Note: I work for Promoter.io which provides a service to do this.
I amended my comment to better explain my position.
NPS (Net Promoter) is generally looked at through the lens of driving growth by understanding who your most loyal customers are, why, and encouraging recommendations/referrals.
The other major benefit when instituted properly (regular quarterly engagements for most subscription services) is the early warning you get from detractors who have a very high likelihood of churning within a 90 day period, if not sooner. Nothing tends to be more accurate than a customer self-selecting and letting you know they are either having a bad experience or they don't understand the product, not seeing the value, etc.
Unfortunately a lot of companies/services optimize for churn at the point of cancelation which is way too late. You've got to interact and engage those at-risk accounts ahead of time.
Using tools like NPS (properly of course) along with some key behavioral metrics and the commitment to have meaningful conversations with those accounts can have a drastic impact on churn in most organizations. We've seen it first-hand.
With regards to the article...couldn't agree more. Never enough focus on churn it seems.
They featured pretty prominently in every investor pitch deck we wrote at GoCardless.
Is it just me or is it just a myth of the startup world that a good product is a sensible idea for businesses?
For some reason, many business people seem to take a bad (or at least nondifferentiating) product as the default assumption. Maybe because that's where you need them the most, and companies creating good products are most in need of good engineering talent.
1. A homepage which seems over-optimized for new customer signup ("how do I get past this splash screen?") versus supporting existing customers
2. An over-emphasis on committing to a year/over-generous discount for an annual commitment
3. An extremely short trial period
They fail to account for cost-of-acquisition vs life time customer value because the VC money keeps the snowball rolling forward fast enough that they think they're doing it by themselves. As soon as you shut off the marketing the whole thing crashes straight into the ground because of churn.
Modeling churn is a very important activity and modeling it correctly allows you to decide whether your ugly duckling is really a swan or actually just an ugly duckling.
What I do come across is that such insights are not welcome and that they make you an 'unbeliever'.
Funny little culture this 'tech startup' culture...