Monetization intelligence
Pricing decision cockpit
Model price, demand, AI cost and margin before making the move.
● Scenario: Growth plan refresh
Projected MRR
$286.4K
+12.2% vs current
Projected ARR
$3.44M
+12.2% annualized
ARPU
$57.28
+16.9%
Gross margin
76.4%
+8.7pp
Conversion
8.2%
−1.8pp modeled

Revenue sensitivity

12-month scenario
Current
$3.06M
Proposed
$3.44M
Downside
$2.67M
The model prioritizes revenue durability, not maximum sticker price.

Recommendation

confidence 82%

TEST BEFORE ROLLOUT

Raise price while introducing a visible AI credit allowance. The modeled ARPU and margin gains outweigh the conversion risk—if validated in a holdout cohort.
Revenue upside+$32.2K MRR
Margin expansion+8.7pp
Primary riskHeavy-user churn
Pricing studio
Build the offer
Change the value metric, price and AI allowance. The cockpit recalculates instantly.

Pro plan scenario

Hybrid pricing

Unit economics

modeled
Projected conversion8.2%
Revenue / month$242.6K
AI cost / month$10.5K
Gross margin76.4%
Annualized revenue$2.91M

Economically attractive

Price captures more value without pushing modeled margin below the 70% guardrail.
Customer economics
Who should pay more?
Segment pricing around willingness-to-pay and cost-to-serve—not just company size.
SegmentShareARPUAI usageGross marginPricing action
SMB / Casual42%$39Low84%Protect
SMB / Power26%$58High68%Meter
Mid-market22%$129Medium79%Expand
Enterprise10%$410High63%Negotiate
Experiment lab
Price change, treated like a product experiment
Define guardrails before the launch so “more revenue” doesn't hide a retention problem.

A/B test design

Recommended
Control$49 / month
Treatment$59 + 1,000 credits
Primary metricNet revenue / visitor
Guardrail30-day churn ≤ +0.5pp
SecondaryAI cost / active account

Decision thresholds

pre-registered
Ship ifNRPV ≥ +8%
Investigate ifChurn +0.5–1.0pp
Kill ifNRPV < 0%
Sample guidance≈ 4–6 weeks

Do not optimize on conversion alone

A lower conversion rate can still be the right outcome when the customers retained have materially higher value.
Decision memo
The executive call
A concise rationale a PM can take to pricing, finance and growth.

Recommendation: run a controlled price test

Decision. Move the Pro plan from $49 to $59/month and bundle 1,000 AI credits, rather than adopting uncapped usage immediately.

Why. The modeled scenario increases ARPU and gross margin while preserving a predictable customer bill. A visible usage allowance creates a natural value metric for AI-heavy accounts.

Tradeoff. The model assumes conversion falls by 1.8 percentage points. That risk is acceptable only if net revenue per visitor improves and 30-day churn stays within the guardrail.

Next step. Run a 50/50 holdout experiment, pre-register the thresholds, instrument AI cost per account, and review the cohort after 4–6 weeks.

PM call: TEST, don't ship globally

This is a monetization hypothesis—not a forecast. The experiment converts uncertainty into evidence.