Customer Profitability Analysis
That Finds What Your P&L Hides
Your customers are destroying profit — and you don't know which ones. Margin Levers finds the profit drag, surfaces the recommended move, and delivers the action kit — all in one place.
Analyze your customers free with CSV or sample data. Upgrade when you’re ready to act.
A cumulative profit curve ranks customers by profitability to reveal which create value and which destroy it. Based on Activity-Based Costing research from Harvard Business School.
What your P&L isn't telling you
Profit Drag = margin destroyed by customers who cost more to serve than they pay.
Benchmarks and examples are drawn from Activity-Based Costing research and the WP Engine Profit Curve case study. See the methodology references.
The real blocker
Revenue is visible. Cost-to-serve is scattered.
Stripe shows what each customer pays. Support, onboarding, cloud usage, and implementation effort show what they cost. The hard part is joining those signals fast enough to make a renewal or pricing decision.
1. Start
Upload revenue
Begin with Stripe, CSV, or sample data even if customer costs are incomplete.
2. Estimate
Build cost-to-serve
Use delivery-model assumptions and cost methods to turn rough signals into a usable cost column.
3. Decide
Act on named accounts
See which customers to reprice, restructure, protect, or release with the math attached.
Cost confidence
Start with revenue alone. Costs follow.
Upload what you have. Margin Levers estimates costs from your SaaS model—gross margin, tier, implementation effort—then flags where precision matters and where it doesn’t.
Revenue-only start
Use known customer revenue first, then layer in costs.
SaaS cost methods
Estimate by gross margin, usage tier, implementation effort, or manual overrides.
Validation flags
Spot zero-cost rows, suspicious outliers, and accounts that need review.
Action confidence
Focus on customers whose reprice/restructure/release call stays stable.
What You're Replacing
Same methodology the consultants use. Fraction of the time and cost. See detailed comparison
| Feature | Spreadsheets | $50K+ Consulting | BI Dashboards | Margin Levers |
|---|---|---|---|---|
| Time to insight | 2–4 weeks | 4–6 weeks | Ongoing setup | 5 minutes |
| Cost | 40+ hrs of your time | $50,000+ | $500–2,000/mo | $249/mo |
| Profit drag analysis | Not included | Included | Not included | Included |
| Named action lists | Not included | Included | Not included | Included |
| AI action plans | Not included | Not included | Not included | Included |
| Ongoing monitoring | Not included | Not included | Included | Included |
| Self-serve | Included | Not included | Included | Included |
Spreadsheets
2–4 weeks · 40+ hrs of your time
No profitability analysis or action plans
$50K+ Consulting
4–6 weeks · $50,000+
One-time snapshot, no self-serve
BI Dashboards
Ongoing setup · $500–2,000/mo
Shows revenue, not profitability
Margin Levers
5 minutes · $249/mo
Profitability analysis + AI action plans + named lists
Real results
The $340K Discovery
How a $5M ARR vertical SaaS exposed what their P&L was hiding
- Top 23 customers generated 67% of all profit
- 3 of their "top 10 revenue" accounts were profit-negative
- $340,000/year destroyed by 147 customers
- P&L showed 32% GPM. Reality: 24% effective
"We thought we knew our margins. We were off by $340K."
Illustrative example based on the Jason Cohen methodology — used at WP Engine to find $1M in hidden losses
Actions taken
$251K
annual improvement recovered
Profit Drag: $340K → $89K
Your P&L says you're fine. Are you sure?
Secure enough for your most sensitive numbers.
Stop Guessing. Start Seeing.
Upload your customer data and see which customers to reprice, restructure, or release. Results in 5 minutes, before your next renewal or pricing decision.