Opinionated Intelligence
for Gaming teams
Advanced root cause analysis
Separate signal from noise
What was revenue last week?
$1.89M last week, down 10% from the week before.
Powered by Sundial’s Root Cause Analysis™
Catch churn while you can still stop it
Flag players at risk weeks before they leave
Which players are about to churn?
1,240 returning players are showing early churn signals this week, but they're still active, so your current model hasn't flagged them yet.
Their session length has dropped 30%+ over their last three sessions and they've stopped touching the social features that predict retention. On your existing model they look healthy until the week they disappear; here you've got roughly a 3-week window to intervene while they're still playing.
Retained on paper, disengaging in behavior
| Week | Retained? (current model) | Avg session length | Social features used | Sessions/week |
|---|---|---|---|---|
| 3 weeks ago | Retained | 24 min | 4 | 6 |
| 2 weeks ago | Retained | 19 min | 2 | 5 |
| This week | Retained | 16 min(−33%) | 0 | 4 |
Spot patterns across titles
Analyze all your games at once
Is the level-3 difficulty problem in Nova Strike happening in our other titles too?
Yes, two of your five live titles show the same pattern.
Players stall at the first hard difficulty gate and D7 retention drops with them, strongest in the two titles that share the v2.4 combat-tuning module. The other three, which never adopted that module, are unaffected. It looks like a shared-code issue, not three separate design problems.
Know if your LiveOps event actually worked💰Summer Vault
Sundial tells you whether an event lifted retention or just pulled spend forward.
Turn Discord and reviews into signal#feedback
Sundial reads player sentiment alongside your metrics, so complaints connect to numbers.
See which UA channels bring players who stay
Sundial connects acquisition source to long-term retention and LTV, not just installs.
& so much more....
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