Track 3 · Engine · lesson 8
Why customers stay, and what churn does to everything
12 min
Track 3 · Engine · lesson 8
12 min
A business adds 500 customers every month and loses five percent of the ones it has. It feels like growth. It is growth, for about two years.
Then it stops, permanently, at 10,000 customers, and no amount of extra effort on the acquisition side moves it. The leak and the tap have met.
Churn is the share of customers who leave in a period. It is the least dramatic number in a business and the one that quietly sets the ceiling on everything else.
Two consequences, both arithmetic rather than opinion. The average time a customer stays is one divided by the churn rate. And a business adding a fixed number of customers each month settles at that number divided by the churn rate, whatever else it does.
Five percent monthly churn is a twenty-month customer and a ceiling twenty times your monthly intake. Three percent is a thirty-three-month customer and a ceiling half as high again.
Every business has an answer, and the answers are not equally durable.
Because it keeps working and they never think about it. The strongest and quietest reason. It looks like nothing on a dashboard.
Because leaving is a project. Their data is in it, their team is trained on it, three other systems talk to it. This is a real reason and it has a shelf life, because resentment accumulates.
Because everyone else they deal with uses it too. Leaving means leaving the group, which is a much larger decision than leaving a product.
Because they forgot they were paying. Also real, also revenue, and the subject of an entire lesson two tracks from now.
Predict
Subscription lifetime value
Hypothetical model, not a forecast
Turns a monthly churn rate into an expected lifetime and a lifetime value, discounted and not.
It assumes
It ignores
One customer is worth 1,000 at the opening settings. Move churn alone until they are worth more than 2,000, then look at what happened to the share collected inside the sixty-month horizon.
| Month | Collected, undiscounted | Collected, discounted |
|---|---|---|
| 0 | 0 | 0 |
| 1 | 40 | 40 |
| 2 | 78.4 | 78.02 |
| 3 | 115 | 114 |
| 4 | 151 | 149 |
| 5 | 185 | 181 |
| 6 | 217 | 212 |
| 7 | 249 | 242 |
| 8 | 279 | 270 |
| 9 | 307 | 296 |
| 10 | 335 | 322 |
| 11 | 362 | 346 |
| 12 | 387 | 369 |
| 13 | 412 | 390 |
| 14 | 435 | 411 |
| 15 | 458 | 431 |
| 16 | 480 | 449 |
| 17 | 500 | 467 |
| 18 | 520 | 484 |
| 19 | 540 | 500 |
| 20 | 558 | 515 |
| 21 | 576 | 530 |
| 22 | 593 | 544 |
| 23 | 609 | 557 |
| 24 | 625 | 569 |
| 25 | 640 | 581 |
| 26 | 654 | 592 |
| 27 | 668 | 603 |
| 28 | 681 | 613 |
| 29 | 694 | 623 |
| 30 | 706 | 632 |
| 31 | 718 | 641 |
| 32 | 729 | 649 |
| 33 | 740 | 657 |
| 34 | 750 | 664 |
| 35 | 760 | 671 |
| 36 | 770 | 678 |
| 37 | 779 | 685 |
| 38 | 788 | 691 |
| 39 | 796 | 696 |
| 40 | 805 | 702 |
| 41 | 812 | 707 |
| 42 | 820 | 712 |
| 43 | 827 | 717 |
| 44 | 834 | 721 |
| 45 | 841 | 726 |
| 46 | 847 | 730 |
| 47 | 853 | 734 |
| 48 | 859 | 737 |
| 49 | 865 | 741 |
| 50 | 870 | 744 |
| 51 | 875 | 747 |
| 52 | 880 | 750 |
| 53 | 885 | 753 |
| 54 | 890 | 756 |
| 55 | 894 | 758 |
| 56 | 898 | 761 |
| 57 | 902 | 763 |
| 58 | 906 | 765 |
| 59 | 910 | 768 |
| 60 | 914 | 770 |
Not there yet — keep moving the controls.
Two things should have happened at once, and the second is the interesting one.
The lifetime value doubled. And the share of it you actually collect within five years fell — because at very low churn most of the value sits in months you have not reached yet. At two percent churn the customer is worth 2,000 and you will have seen about 70 percent of it after five years. At eight percent they are worth 500 and you have essentially all of it inside two.
Low churn moves value into the future. That is still a good thing, and it is not free: value in the future has to be funded from somewhere in the present, and a business is not paid in expected lifetimes.
This is why the discounted figure exists. It asks what those distant months are worth to somebody who has to make payroll between now and then.
Customer churn counts people. Revenue churn counts money. They come apart the moment customers are different sizes, and they come apart in opposite directions depending on who is leaving.
A business can lose eight percent of its customers and two percent of its revenue in the same month — the departures were all small accounts. The reverse also happens, and it is much worse news delivered in a much calmer voice.
There is also a third figure. Where existing customers grow — more seats, more usage, a higher tier — the revenue gained from the ones who stayed can exceed the revenue lost from the ones who left. Revenue then grows from the existing base with no new customers at all. It is rare, it is largely a property of what is being sold rather than of how well it is sold, and it is the single most valuable characteristic a subscription business can have.
Check
Plot one month's intake and follow it. The first two or three months lose a large share — people who were never going to stay, who misunderstood what they bought, who were experimenting. After that the line bends and the remaining customers churn far more slowly.
A single average churn rate mashes those two populations together, and the average is dominated by whichever group is larger this month. A business growing fast has a lot of new customers, so its average churn looks terrible. The same business stops growing and its average churn improves, with nothing having got better.
Everything in this lesson uses a single constant rate, which is exactly this simplification. It is the right first approximation and the wrong thing to run a retention programme on.