A playbook for understanding what to look at, what the numbers actually mean, and when to take action vs. when to take a breath.
If you've ever opened your analytics dashboard, felt your stomach drop at a chart you didn't understand, and quietly closed the tab, you're not alone. You open the dashboard, see a dozen charts, and one of three things happens: you close it and move on, you find one number that looks off and spiral into a full content overhaul, or you make a change based on a single week of data that was almost certainly just a one-off fluctuation.
None of those responses move your business forward. What does? A consistent, calm practice of looking at the right numbers, in the right order, with a clear filter for when to act and when to wait. That's what this playbook builds.
What This Playbook Will Help You Do:
Where to find it: Analytics → Subscriptions → Trials
Benchmark: 50% or higher
If off benchmark: Below 50% consistently means new members are not experiencing value quickly enough.
Next step: Open the Onboarding Playbook.
Where to find it: Analytics → Subscriptions → Churn
Benchmark: 10% or below monthly; 5% or below annually.
If off benchmark: Above 10% monthly for two or more consecutive months means the weekly habit is breaking down or your re-engagement system is not catching members before they cancel.
Next step: Open the Combat Churn Playbook. Use the Retention Cohort chart (Analytics → Subscriptions → Churn) to identify when churn is spiking (Month 1 vs. Month 3+). Each row is a cohort of new subscribers — consistent drop-off at Month 2 across multiple cohorts signals a gap at a specific point in the member journey.
Where to find it: Analytics → Subscriptions → Engagement → Active Users Over Time, set to Week
Benchmark: Active members watching at least 1 video per week.
If off benchmark: Watched Content trending down for two or more consecutive weeks means the weekly habit is breaking. Members are staying subscribed but gradually disengaging.
Next step: Open the Combat Churn Playbook: Weekly Retention Operating System section. One clear reason to return each week, consistently delivered, is what moves this number.
Also look at the Subscribers by Last Active Date chart. If your Lapsing and Inactive segments are growing as a share of total subscribers over multiple weeks, your re-engagement automations need to be running.
Where to find it: Analytics → Overview or Analytics → Subscriptions → MRR
Benchmark: Positive month-over-month growth. Even consistent small growth is healthy.
If off benchmark: Flat or declining MRR means new subscriber revenue is not outpacing churn and contraction.
Next step: Use the MRR Breakdown view to identify which component is driving the issue. Rising Churn MRR, falling New MRR, and high Contraction MRR all have different fixes. A business with high New MRR but also high Churn MRR is running a leaky bucket — acquiring fast but losing just as quickly.
Where to find it: Analytics → Marketing → Automations (Email Performance section)
Benchmark: Active subscriber sequences average 35–45% open rates; best-performing sequences to paid members reach 45–55%+. The most consistent predictor is a trend: are your automation open and click rates holding steady or declining?
If off benchmark: Open rates declining month over month means sequences are not landing. Subject lines, preview text, and send frequency are the first things to review. Click rates consistently low means your copy or call-to-action needs reworking.
Next step: Review the Email Performance by Automation comparison table. Rewrite subject lines first (open rate), then calls-to-action (click rate). Do not add more automation steps until existing steps are performing. Check this monthly.
Navigate to: Analytics → Subscriptions → Engagement → Subscribers by Last Active Date
This chart shows every current subscriber grouped by the last time they were active. It tells you not just whether people are subscribed, but where they are in their engagement lifecycle right now.
These are your healthiest members. The habit is holding. Keep the system that got them here running consistently — the weekly content drop, the newsletter, the community prompt.
This is your most important segment to watch. Members here are not gone — they are slipping. Something interrupted the habit and they have not found a reason to come back. The window is still open.
One well-timed, personal-feeling message often brings lapsing members back. Something like: "We haven't seen you in a little while. Here's what's been added this week, and here's a great place to pick back up."
The Member Stops Watching automation is your best tool for catching this group automatically. Go to Marketing → Automations, look for the Member Stops Watching template, and confirm it is active.
Members here are at real risk. They are still subscribed but have not engaged in over a month. A more direct, personalized approach works best. Reference what they signed up for. Acknowledge the gap without making them feel guilty. Offer one specific, easy starting point.
The Member Becomes Inactive automation is the right tool here. Navigate to Marketing → Automations and look for it. Set the threshold to match this window (30 days). The Combat Churn Playbook walks through the full setup.
This is your highest-risk group — members who have been gone for over two months but are still subscribed.
What to do:
Do not assume dormant members are dissatisfied. Many are still subscribed because they intend to come back. They just need a reason and a moment.
Signed up but have never watched, signed in, or participated. This is almost always an onboarding gap — the Start Here path is unclear, the first email did not drive a single action, or life interrupted immediately after signup.
If this segment is large relative to your total subscriber base, open the Onboarding Playbook before doing anything else here.
This review takes about 10 minutes. It asks four questions. At the end you make one decision: act, or watch for another week.
Navigate to: Analytics (the Overview report). Look at the four sections: Net Sales, MRR, Active Subscriptions, Watch Time. Then look at the Net Growth chart (are new subscribers outpacing churn?) and the Active Users chart.
Ask: has anything moved significantly in a direction it has not moved before? If nothing stands out, move to Step 2. If something looks off, note it and follow up in the relevant section. Do not try to diagnose from the Overview alone — it is a signal finder, not a diagnosis tool.
Navigate to: Analytics → Subscriptions → Trials. Is your trial conversion rate at 50% or above?
| If it looks like this... | Do this |
|---|---|
| 50%+ and holding | Healthy. Move to Step 3. |
| Below 50% this week only | Note it. Observe one more week. Do not change anything. |
| Below 50% for 2–3 weeks in a row | This is becoming a pattern. Open the Onboarding Playbook. |
Navigate to: Analytics → Subscriptions → Engagement. Set the time frame to Week. Look at the Active Users Over Time chart, focusing on the Watched Content line.
Navigate to: Analytics → Subscriptions → Churn. Is your monthly churn rate below 10%? Scroll to the Retention Cohort chart. Are newer cohorts holding at the same rates as previous ones, or are they dropping faster?
If churn is spiking and it is a new cohort: something changed in your onboarding or early member experience. If it is happening to older cohorts: your ongoing engagement system has a gap.
| What you see | Why it's probably noise |
|---|---|
| Engagement drops one week | Holidays, school breaks, a slow community week, or a late content drop that week. |
| Churn spikes one month | End of a promotional trial period or a natural cohort milestone. Look at the Retention Cohort chart first. |
| Trial conversion dips one week | Often a small sample size. With under 10 trials in a week, one or two extra expirations moves the number dramatically. |
| Revenue dips one month | Annual subscribers renewing on a different schedule, a one-off refund batch, or a slow new acquisition week. |
| The mistake | Do this instead |
|---|---|
| Dropping the price when conversion falls | Pull the Cancellation Reasons first. Price is almost never the real issue. If the data points to expectations not matching reality, consider running an Audience Survey. |
| Just adding more content to fix churn | Check whether members are watching what you already have. More content without habit design does not fix low watch frequency. |
| Changing the onboarding sequence after one slow conversion week | Wait for a pattern across two to three weeks. One slow week has too many possible explanations to act on. |
| Only checking analytics when something feels wrong | A weekly check-in builds pattern recognition so you catch problems early. |
| What your data shows | System to look at | Go here first |
|---|---|---|
| Trial conversion consistently below 50% | Onboarding and early experience | Onboarding Playbook |
| High Never Active segment or Month 1–2 cohort drops | First 7–14 days experience | Onboarding Playbook |
| Watched Content declining, Lapsing segment growing | Weekly habit and engagement | Combat Churn Playbook / Customer Newsletter Template |
| Monthly churn above 10% for 1+ months, Month 3+ cohort drops | Ongoing retention and re-engagement | Combat Churn Playbook: Retention Automations |
| Automation open or click rates declining month over month | Email copy and subject lines | Combat Churn Playbook: The Regular Email Cadence |
| Cancellation reasons citing 'content' or 'not what I expected' | Positioning and audience alignment | Landing Pages Playbook + consider the Audience Survey Playbook |
| No new trials, acquisition rate near zero | Top-of-funnel and lead generation | Campaign Operating System or Funnels Playbook |
| Dormant and Inactive segments large across all cohorts | Re-engagement and win-back | Combat Churn Playbook: Retention Automations |
Uscreen has built an AI-powered analytics assistant directly into the dashboard. Instead of reading each chart manually, you can ask it a direct question and get an answer grounded in your live data:
Navigate to your analytics dashboard and look for the AI assistant interface. You can ask questions like:
Analytics only work when you actually look at them. Run the weekly review. Use the routing table when something looks off. Trust the pattern test before you make changes. Six weeks of consistent check-ins will tell you more about your membership than six months of guessing.
Post in the Ask the Community channel with a screenshot of what you're seeing and what you think it might mean — our coaches and fellow creators will help you read it and figure out what, if anything, needs to change.