PRISM

Stop guessing why MRR changed.
See which features drive retention. Fix churn before it spreads.

Prism connects Stripe revenue data to product usage analytics—showing you exactly which cohorts are churning and what they stopped using.

MRR dropped 8% last month.

But which users churned and why?

Stripe shows revenue. Analytics shows usage. But nothing connects them.

Turn revenue data into actionable insights.

Connect Stripe to product analytics

Automatically sync Stripe subscription data with Mixpanel, Amplitude, or PostHog. See MRR, churn, and expansion revenue alongside feature usage—no SQL required.

Unified data view

Identify churn patterns by cohort

Filter churned users by plan, signup source, or usage tier. Discover which segments are bleeding revenue and why they're leaving.

Reduce churn 30%+

Track feature adoption vs. retention

See which features high-LTV customers use daily. Spot at-risk accounts who've stopped engaging with key workflows before they cancel.

Predict churn early

Measure product-led revenue impact

Prove which product changes actually drive upgrades, expansions, and renewals. Stop shipping in the dark—tie every release to revenue outcomes.

Faster revenue growth

Operational outcomes teams actually feel.

Prism is built to move metrics, fast — not add another dashboard to check.

Risk signals routed in minutes

Ops, product, and finance aligned on one thread so ownership was never ambiguous.

Time‑to‑decisionin 6 weeks

−38%

Support noise cut sharply

Product and CX shared the same context, so escalations stopped bouncing between teams.

Inbound escalationsin 8 weeks

−27%

Decisions moved to same‑day

Experiment calls were tied to bookings and surfaced in Slack the moment signals shifted.

Experiment velocityin 4 weeks

+19%

Signal → Context → Action. In one Slack thread.

See the whole picture

Prism connects product, marketing, billing, and support signals so you catch what no single tool can surface.

Understands your business

It pulls context from goals, docs, and org structure to explain why a change happened — not just that it happened.

Activation rate

% of users completing onboarding

Takes action

Create Jira tickets, pause spend, or trigger campaigns instantly.

Issue refund

Draft winback campaign

Reply to customer

Trigger feature flag

Open ticket

Send in-app nudge

Open upsell opportunity

Pause ad campaign

Generate PRD draft

Issue refund

Draft winback campaign

Reply to customer

Trigger feature flag

Open ticket

Send in-app nudge

Open upsell opportunity

Pause ad campaign

Generate PRD draft

Proactive by design

Prism watches quietly, learns baselines, and escalates only when movement is meaningful.

Your first 30 days connecting Stripe to product usage.

Day 1

Join revenue and product data

Connect Stripe, product analytics, CRM, and support to Prism.
Define segments (plan, cohort, ARR tiers) to monitor for revenue swings.
Set up Slack alerts for finance, product, and RevOps stakeholders.

Day 7

See why MRR moved

Daily digests explain expansions, contractions, and churn drivers.
CS gets save playbooks triggered by usage + billing signals.
Product understands which features top-paying customers rely on.

Day 30

Revenue ops runs proactively

Forecasts update automatically as Prism adjusts for live signal changes.
Expansion plays launch the moment usage hits upgrade thresholds.
Leadership reviews one feed linking product actions to revenue outcomes.