Subscription Churn Analytics

How long members stay

Of every member who starts paying, 89.0% are still paying a month later and 70.6% after a year. A monthly churn rate of 4.35% sounds small; compounded, it replaces about 41% of the subscriber base every year.

Net revenue retention (T12M)
77.7%
Feb 2017
Gross revenue retention (T12M)
76.0%
Excludes upgrades
Still paying after 6 months
77.6%
Across 18 cohorts
Still paying after 12 months
70.6%
Across 12 cohorts

Revenue retention, trailing twelve months

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Revenue this month from the members who were paying twelve months earlier, divided by what they paid then. This is the standard definition, and not the one-month ratio that is often mislabelled as NRR: a monthly figure of 99% compounds to about 89% over a year.

Show data table
MonthNRR (T12M)GRR (T12M)NRR (1-month)GRR (1-month)
Jan 201676.5%74.3%94.2%94.1%
Feb 201674.3%72.2%93.8%93.7%
Mar 201672.7%71.0%92.6%92.5%
Apr 201676.1%70.6%95.8%95.2%
May 201672.2%69.7%94.8%94.5%
Jun 201672.7%71.0%95.9%95.7%
Jul 201671.9%70.2%94.7%94.5%
Aug 201673.7%72.1%96.0%95.9%
Sep 201674.5%72.6%96.0%95.8%
Oct 201674.5%73.0%95.8%95.5%
Nov 201675.4%73.8%96.3%96.1%
Dec 201675.3%73.7%94.7%94.5%
Jan 201776.2%74.5%95.4%95.1%
Feb 201777.7%76.0%95.7%95.4%

Monthly subscriber churn rate

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Members paying at the start of the month who were not paying at the end, as a share of those paying at the start. New members are not in the denominator.

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MonthPaying at startChurnedChurn rate
Jan 2016893,56047,8265.35%
Feb 2016941,80852,7625.60%
Mar 2016980,10068,7427.01%
Apr 2016973,86341,6684.28%
May 2016986,70449,4235.01%
Jun 2016989,93837,0113.74%
Jul 20161,011,42948,3144.78%
Aug 20161,040,74936,9573.55%
Sep 20161,085,71738,2473.52%
Oct 20161,101,05941,4863.77%
Nov 20161,107,40535,9633.25%
Dec 20161,127,09657,7895.13%
Jan 20171,131,38748,4884.29%
Feb 20171,156,24244,6573.86%

Cohort retention

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Each row is the group of members whose first paid month was that month; each cell is the share still paying n months later. Only fully observed cells are shown, so the triangle shape is the data running out, not members leaving.

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CohortSizeM1M3M6M12
Mar 2015112,74494.9%89.4%85.2%77.2%
Apr 201541,59285.4%77.5%65.0%57.0%
May 201537,17182.3%75.7%68.4%59.8%
Jun 201534,87285.7%77.1%66.5%60.7%
Jul 201550,42990.8%78.5%79.1%73.5%
Aug 201556,37387.8%81.4%77.0%71.2%
Sep 201551,85088.5%82.5%77.1%72.7%
Oct 201561,82890.6%84.3%80.4%75.6%
Nov 201561,07389.4%84.7%79.3%74.7%
Dec 201555,80688.4%76.9%76.1%69.9%
Jan 201678,94791.6%77.5%79.8%69.0%
Feb 201661,89288.9%81.3%79.7%69.1%
Mar 201648,59989.4%76.8%77.0%–
Apr 201629,47885.5%75.4%72.4%–
May 201634,80688.3%81.4%76.3%–
Jun 201639,05886.8%82.5%76.5%–
Jul 201648,17190.5%85.1%80.2%–
Aug 201644,69989.5%82.8%77.7%–
Sep 201633,20786.4%77.9%––
Oct 201633,13388.8%82.1%––
Nov 201635,89988.1%84.0%––
Dec 201642,65684.4%–––
Jan 201736,96187.5%–––
Feb 201737,413––––