Subscriber Analytics

Activity

Last 30 days: 0 started · 0 converted · 0 updated · 0 cancelled · 0 stopped

No activity yet.

Subscribers over time

Total active vs. paying (non-trial), at each month's close · solid ends at today, so the dashes finish the current month first · dashed = next 12 months with new signups and churn — same model as the green MRR line, whose scenario range is on that chart

Subscribers per plan

Current active vs. paying by plan tier

Recurring revenue

MRR (annual amortized ÷12) and ARPU at each month's close, solid ending at today · dashed = next 12 months with new signups and churn; projected ARPU = projected MRR ÷ projected paying shops, through today's trials converting (~60 days) · shaded = MRR scenario range, not a confidence interval

Install → paid conversion

Mature cohorts only · monthly rate and EWMA

Conversion by trial day

Of shops still trialing at day x of their trial (started in the last 6 months), the share that eventually convert · bars: current trials at each day, by plan

Projected cashflow

Next 12 months · adds ~0 installs/mo (EWMA of 0 complete months) at 0.0% conversion, and paid churn of 0.0% in the first paid month then 0.0%/mo · shaded = scenario range, not a confidence interval

Monthly installs vs. fitted rate

First installs per calendar month against the inflow the projection runs on: 0.0 ± 0.0 installs/mo, an average of the last 6 complete months weighted toward the recent ones · faded bars are earlier months the fit ignores, hollow is the month in progress · the band is ±1 sd of the months in the window — the spread the scenario range moves inflow by

Paid churn by tenure month

The two rates the projection churns by, against the months they were fitted to: 0.0% in the first paid month (0 payers at risk) then 0.0%/mo (0) · marker size = payers at risk · whiskers = 95% interval · months with under 20 at risk not drawn · the model pools months 2+ into one rate; hollow = payers who started in the last 6 months

Monthly paying flows: actual vs. expected

Shops that started paying (up) and stopped paying (down) each calendar month · green marks = today's fitted rates applied to that month: 0.0% of the install cohort whose first bill lands in it, and 0.0% / 0.0% against the first-month / longer-tenured payers on the books when the month opened · a run of months on one side of the marks is drift the pooled rates have averaged away · the churn mark is approximate — the hazards are per 30.4-day tenure month, the bars are calendar months · hollow = month in progress

Backtest: paying subscribers

The same projection re-run as of months ago, fitted only to the events that existed then · each dashed line starts from the paying count actually measured at its origin, so its distance from the solid line is the model's error over that horizon · shaded = scenario range, so landing inside it is a sanity check, not a coverage statistic