Your paywall is losing money.
Voltaire tracks exactly why.

Run /voltaire. Voltaire connects your Stripe, reads your codebase, installs its own SDK, and proposes a targeted fix. One command.

Claude Code plugin

$ curl -fsSL https://mcp.hivoltaire.com/install | bash

Then run /voltaire

terminal · week 4
$ /voltaire
✦ Loading your context...
28 days of data · fix applied Mar 3 · conversion 1.8% → 2.3% ✓
✦ This week
Conversion: 2.3% (benchmark: 3.2% · gap closing)
Bounce rate down: 47% → 31% · paywall timing fix worked
✦ Recommendation
Add social proof: show plan count + logos above CTA
Est. impact: +$1,400/mo · Apply? [Y/n]

It gets smarter every week

Not a one-time fix. A loop that compounds.

1
First run

Run /voltaire

Voltaire connects your Stripe, reads your codebase, installs its own SDK, and wires 6 behavioral events automatically. No manual setup. First fix in the same session.

2
Between runs

Data accumulates

Sessions, feature usage, paywall events flow in. Voltaire emails you when anomalies spike or when you hit a new milestone. The more data, the sharper the next analysis.

3
Next run

Full context. Sharper fix.

Run /voltaire anytime. It reads everything that happened since the last run, knows what the first fix moved, and goes straight to what matters next.

Lumière Intelligence

Three agents. Every /voltaire.

  • Timing: when your paywall fires vs the optimal moment, with confidence rating based on data volume.
  • Cohort: what differentiates users who paid vs users who left. The one feature that predicts conversion.
  • Churn: MRR health, monthly churn rate, median days before cancel, top cancellation reasons from Stripe.
analyze_paywall · Lumière Intelligence
✦ Timing ★★☆
Signal: high_early_dismiss (paywall fires at session start)
Optimal trigger: after feature:export (used by 71% of converters)
✦ Cohort ★★★
Key differentiator: export (4.1% CR with vs 1.6% without)
Rec: gate paywall after first export attempt
✦ Churn ★★☆
MRR: $2,840 · churn: 4.2%/mo · median: 18d
Signal: high_early_churn (users churn before value moment)
Behavioral intelligence

Not just revenue data. Behavior data.

  • Sessions, features used, paywall drop-off. 6 events wired directly into your codebase by Voltaire.
  • Stripe revenue is always current. Benchmarked against your SaaS category, not generic averages.
  • Voltaire reads the patterns, explains the why, and writes the fix with file and line number.
analyze_paywall · day 14
✦ Conversion funnel
Sessions (30d): 4,210
Paywall views: 2,841 (67% reach paywall)
Conversions: 51 → 1.8% (SaaS median: 3.2%)
✦ Behavioral signals
Bounce rate (<3s dismiss): 47% - shown too early
Avg time on paywall: 8s
Median sessions to convert: 4.2
✦ Feature correlation
used "Invite" before paywall: 4.1% CR
didn't use "Invite": 1.6% CR (2.5x gap)
Top features before converting: invite, export, bulk_edit

The data is already there. Start reading it.

One command. First fix today.

$ curl -fsSL https://mcp.hivoltaire.com/install | bash

Then run /voltaire in Claude Code