Finally Know Which Features Are Worth Their Cost
You have usage analytics. You have customer feedback. But you don't know which features are profitable vs. which are burning infrastructure costs. CloudShip correlates feature usage with infrastructure spend and revenue—so you can make data-driven decisions about what to build, scale, or sunset.
You're Building Features Blind To Their Infrastructure Cost
Product has Amplitude showing usage. Finance has AWS bills. Engineering has cost breakdowns. Nobody can connect them. So you build features based on customer requests and usage metrics—without knowing if they're margin-positive or burning money on infrastructure.
Questions You Can't Answer Today
"Which features justify their infrastructure cost?"
Usage data in Amplitude. Cost data in AWS. Nobody correlates them.
"Should we sunset this feature or scale it?"
You see low usage. But is it unprofitable or just underpriced?
"What's the margin on our new enterprise feature?"
Sales closed the deal. But you don't know if infrastructure costs make it unprofitable.
"Which customer segment is most profitable?"
Need usage + revenue + infrastructure costs by segment. Data exists but isn't connected.
Product has Amplitude showing usage. Finance has AWS bills. Engineering has cost breakdowns. Nobody can connect them. So you build features based on customer requests and usage metrics—without knowing if they're margin-positive or burning money on infrastructure.
Leadership asks which features drive margin. You scramble to get Engineering to export cost data, Finance to map revenue, and correlate with usage analytics. Three weeks later, the data's outdated and the roadmap decision is already made.
You're making million-dollar roadmap decisions without knowing which features are actually profitable. Usage metrics aren't enough—you need feature-level economics.
Building The Wrong Things, Sunsetting The Right Ones
Without feature-level ROI data, you optimize for usage instead of margin. That viral feature with high engagement? It might be losing money on infrastructure. That niche feature with low usage? It might be your most profitable. You're flying blind on what actually drives business value.
Real Product Mistakes:
The Viral Feature That Lost Money
High engagement, great NPS. But infrastructure costs were 3x revenue. Took 6 months to discover it was bleeding cash.
Sunsetting Profitable Features
Low usage so you deprecated it. Turns out it was margin-positive and used by your most profitable enterprise customers.
Building For The Wrong Segment
SMB customers requested a feature. Built it. Realized later that SMB segment has negative margins due to infrastructure costs.
Without feature-level ROI data, you optimize for usage instead of margin. That viral feature with high engagement? It might be losing money on infrastructure. That niche feature with low usage? It might be your most profitable. You're flying blind on what actually drives business value.
Your competitors have feature economics. They know which capabilities drive margin and which burn cash. They double down on profitable features and cut unprofitable ones fast. They're making data-driven roadmap decisions while you're guessing.
Every quarter without feature-level ROI data is another quarter building the wrong things and sunsetting the right ones.
Real-Time Feature Economics: Usage + Revenue + Infrastructure Costs
CloudShip correlates your product analytics (Amplitude, Mixpanel) with infrastructure costs (AWS, GCP) and revenue data (Stripe, Salesforce)—automatically. See which features drive margin vs. which burn cash. Make roadmap decisions based on profitability, not just usage.
How You Make Roadmap Decisions Today:
- → Look at usage metrics (Amplitude/Mixpanel)
- → High usage = good feature, low usage = bad feature
- → Ask Engineering for cost estimates (rough guesses)
- → Make roadmap decisions without knowing actual margins
- → Find out months later some features are unprofitable
- → Scramble to fix pricing or deprecate features
With CloudShip Product Intelligence:
- → See usage + infrastructure cost + revenue per feature
- → Real-time margin by feature, by customer, by segment
- → Identify unprofitable features immediately
- → Make roadmap decisions based on actual economics
- → Double down on profitable features, fix or cut losers
- → Build what drives business value, not just engagement
CloudShip correlates your product analytics (Amplitude, Mixpanel) with infrastructure costs (AWS, GCP) and revenue data (Stripe, Salesforce)—automatically. See which features drive margin vs. which burn cash. Make roadmap decisions based on profitability, not just usage.
Feature-Level ROI
See exactly which features are margin-positive vs. margin-negative. Usage + infrastructure cost + revenue attribution, all connected.
Segment Economics
Enterprise vs. SMB profitability. Power users vs. casual users. Know which segments justify their infrastructure cost.
Real-Time, Not Quarterly Reports
Feature economics update as customers use your product. Catch unprofitable features in weeks, not quarters.
Make Roadmap Decisions Based On Margin, Not Just Usage
These are the decisions you make every quarter—now with actual economic data:
"Which features should we scale vs. sunset?"
See feature ROI: infrastructure cost per active user, revenue attribution, margin. Scale what's profitable, fix or cut what's not.
Usage + Infrastructure + Revenue data, unified
"Should we build this enterprise feature request?"
See enterprise segment margins. If they're already unprofitable due to infrastructure costs, maybe price it separately.
Customer segment economics
"Why is our AWS bill growing faster than revenue?"
Correlate infrastructure growth with feature launches and customer segments. Identify which features are driving disproportionate costs.
Infrastructure + Feature + Revenue correlation
"Which customer type should we optimize for?"
Unit economics by customer segment. See which types have healthy margins vs. which burn infrastructure dollars per customer.
Segment profitability analysis
"Should we reprice this feature tier?"
See actual infrastructure costs per pricing tier. Know if margins are healthy or if you need to adjust pricing.
Tier-level cost analysis
"Is this new feature cannibalizing profitable ones?"
Track feature adoption over time with costs. See if new features shift usage to more expensive infrastructure patterns.
Feature migration cost impact
This is product intelligence for margin-conscious roadmaps. Not just what customers want—what actually drives profitable growth.
Your CISO Won't Block This
Other product intelligence tools require uploading customer data and infrastructure credentials to vendor clouds. CloudShip is different: agents run in your infrastructure. AWS credentials, database access, analytics data—all stay internal. Only aggregated intelligence flows to the Platform.
Why this matters to product:
You get feature-level economics without security review blocking it for months. Engineering deploys agents locally. Your CISO approves because customer data and credentials stay internal. You get your product intelligence dashboard in days, not quarters.
Stop Building Features Blind To Their Cost
Get real-time feature ROI: usage, infrastructure costs, and revenue—all connected. Build what drives margin, not just engagement.