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MarginWard VS PerUnit

Compare MarginWard VS PerUnit and see what are their differences

MarginWard

Gross margin per customer for AI SaaS

Rating
0 reviews
Alternatives Is it good?
PerUnit

Know your AI costs per customer, per feature, per tier. PerUnit attributes every dollar of AI provider spend to the customers and features driving it.

Rating
0 reviews
Pricing
Paid $99 / Monthly
Alternatives Is it good?
ANNA For Creators
Chatting & Selling Automation for OnlyFans. ANNA handles objections, spots buyers, and closes more sales, so you can scale without limits. Cheaper than a human team, and sells better, detect and take care of each whales on your account. sponsored

Which is more popular?

AI popularity
34% vs 66%
alternatives listed
13 vs 14

Base details

Website, pricing, platforms and company facts side by side.

MarginWard
PerUnit
Website marginward.com perunit.ai
Pricing
Official pricing
Paid $99 / Monthly Official pricing
Platforms
Web SaaS REST API
Web SaaS
Company Startup from France · 1 - 9 employees · 2026 —
Listed in
SaaS Analytics AI FinOps Developer Tools +2
AI AI Tools Cost Management Software Analytics +1

About MarginWard and PerUnit

In their own words, as submitted to SaaSHub.

MarginWard
PerUnit

MarginWard shows gross margin per customer for AI SaaS. It joins your LLM costs (Langfuse, OpenRouter, or a simple ingest API) with your Stripe revenue, flags customers who are unprofitable, and alerts you the moment one turns red. Free calculator, no signup. Paid plans from $29/mo.

Read more about MarginWard

Your AI bill is growing — but which customers, features, and pricing tiers are driving it? OpenAI, Anthropic, and Google dashboards show totals. Totals don't help you decide who to charge more, what to gate, or where to cut. PerUnit breaks down AI spend by customer, feature, and pricing tier so...

Read more about PerUnit

Features and specs

What each product offers, as listed by its team.

MarginWard 11 features
PerUnit 7 features
  • Gross margin per customer
    Joins your LLM cost with Stripe revenue to show the true gross margin of every customer.
  • Unprofitable-customer alerts
    Get pinged by email or Slack the moment a customer's token cost crosses the revenue they pay.
  • Customers to watch
    Your accounts ranked by worst margin first, each with a cost-vs-revenue gauge.
  • Margin by plan
    Gross margin grouped by Stripe plan, so you see which tiers actually make money.
  • LLM cost integrations
    Connect Langfuse, OpenRouter, or a simple ingest API to feed in per-customer token cost.
  • Read-only Stripe sync
    A restricted, encrypted, revocable read-only Stripe key, no write access to your billing.
  • Cost & margin history
    Track how LLM cost and margin per customer move over time (up to unlimited history).
  • Weekly margin digest
    A short email summary of your margins and any customer that turned red this week.
  • Model price overrides
    Override per-model token prices to match your real negotiated rates.
  • CSV export & API
    Export margins to CSV or pull them programmatically via the API.
  • Free margin calculator
    A no-signup tool to check any single customer's margin in seconds.
  • AI Cost per customer
    See which customers drive AI spend
  • AI Cost per feature
    See which features use the most tokens
  • AI Cost by pricing tier
    Free vs paid user breakdown
  • Stripe integration
    Connect AI costs to revenue
  • Customer ID tagging
    Via SDK or request metadata
  • Margin views
    Cost vs revenue by account
  • Unit economics dashboard
    Cost per customer, feature, tier

Analysis

An editorial look at what each product does well and who it suits.

MarginWard
PerUnit

Overall verdict

  • I don't have verified information about MarginWard (marginward.com), so I can't confirm whether it's a legitimate or good product/service. Before using it, I'd recommend researching independently through trusted review sites, checking regulatory status if it involves financial services, and looking for verifiable user feedback.

Why this product is good

  • I do not have reliable data or verified details about this specific website or service in my knowledge base
  • The name suggests it may be related to margin trading or financial services, which typically require regulatory verification
  • Without independent verification, I cannot confirm legitimacy, safety, or quality of the offering
  • Unverified financial platforms can carry risks including scams or unregulated operations

Recommended for

  • Not recommended without further independent research
  • Only consider using after verifying regulatory compliance if it involves financial or trading services
  • Suitable only for users who have independently confirmed legitimacy through trusted third-party reviews, regulatory bodies, or verified user testimonials
  • Exercise caution and consult financial advisors before engaging with unfamiliar trading or margin-related platforms

Overall verdict

  • I don't have verified, up-to-date information about PerUnit (perunit.ai) to make a confident assessment of its quality, features, or performance. It may be a newer or niche AI/software product that isn't well-documented in my training data, so I'd recommend checking recent reviews, the official website, and independent user feedback before drawing conclusions.

Why this product is good

  • Unable to confirm specific features or capabilities without verified data
  • No access to current user reviews or independent benchmarks for this product
  • Claims about performance or pricing should be verified directly from the vendor and third-party sources

Recommended for

  • Users willing to do their own due diligence by checking the official site, recent reviews, and community forums
  • Those who can request a demo or trial to evaluate the product firsthand
  • Buyers who prioritize verifying vendor claims through case studies or references before committing

Videos

Walkthroughs and reviews on video.

MarginWard 1 video + Add
PerUnit 0 videos + Add

MarginWard — gross margin per customer for AI SaaS

No PerUnit videos yet. You could help us improve this page by suggesting one.

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
MarginWard
PerUnit
34% 34%
AI
66% 66%
0% 0%
AI Tools
100% 100%
100% 100%
Developer Tools
0% 0%
100% 100%
SaaS
0% 0%

Questions & Answers

As answered by people managing MarginWard and PerUnit.

What makes your product unique?

MarginWard's answer

MarginWard is the only tool that joins your LLM costs with your Stripe revenue to show gross margin per customer. Cost-tracking tools show spend; revenue analytics show MRR, neither tells you which customers cost more than they pay. MarginWard does, and alerts you the moment one turns unprofitable.

PerUnit's answer:

PerUnit is built for AI unit economics, not just cost tracking. We break down AI spend by:

Customer — see which accounts drive costs Feature — see which AI features burn through tokens Pricing tier — free vs paid user breakdown We connect AI costs to revenue via Stripe. Provider dashboards show totals; observability tools show tokens. PerUnit shows who's driving costs and whether they're profitable. No data warehouse or pipelines — direct API sync to OpenAI, Anthropic, and Google.

Why should a person choose your product over its competitors?

MarginWard's answer

Observability tools track your LLM spend but don't know your revenue; SaaS analytics track revenue but ignore token cost. MarginWard is built for the intersection, gross margin per customer, with alerts on unprofitable accounts. Read-only Stripe key, plugs into Langfuse/OpenRouter or a simple ingest API, set up in ~15 minutes. Flat pricing, never a percentage of your spend. There's also a free calculator, no signup.

PerUnit's answer:

PerUnit is built for product and pricing decisions, not observability. Competitors focus on tokens, latency, and traces. We focus on:

Cost per customer Cost per feature Cost per tier — connected to revenue If you need to know who to charge more, what to gate, or where to cut, PerUnit gives you that. No pipelines, no data engineering, no data warehouse.

How would you describe the primary audience of your product?

MarginWard's answer

Founders and teams building AI SaaS on flat or subscription pricing, products where LLM tokens are a real per-customer cost. From solo founders to small product teams who need their true unit economics, not just their MRR.

PerUnit's answer:

Founders, product managers, and CFOs at companies building AI-powered products. Anyone who needs to answer:

Which customers cost the most? Are free users profitable? Should we gate AI behind paid plans? Teams that care about unit economics and margins, not just total spend.

What's the story behind your product?

MarginWard's answer

MarginWard was built by a solo founder running his own AI SaaS. One month he realised his biggest customers were also his least profitable, burning more in LLM tokens than they paid, and Stripe never told him. So he built the tool he wished existed: the real margin of an AI product, customer by customer.

PerUnit's answer:

We've shipped products with AI and watched margins disappear without knowing why. The AI bill was one number — we couldn't see which customers or features were driving it. Every product and pricing decision was a guess.

We built PerUnit so product teams can have the same clarity on AI costs that they have on revenue and headcount.

Which are the primary technologies used for building your product?

MarginWard's answer

Next.js, TypeScript, Supabase (PostgreSQL), Stripe, Vercel, Tailwind CSS, Resend, with Langfuse and OpenRouter integrations for LLM cost data.

PerUnit's answer:

Frontend: Next.js, React, TypeScript, Tailwind CSS Integrations: OpenAI, Anthropic, Google APIs, Stripe Deployment: Vercel

Who are some of the biggest customers of your product?

PerUnit's answer:

PerUnit is in early access. We're onboarding a small group of teams who need clarity on their AI unit economics. Our early users are founders and PMs at companies building AI features — from early-stage to growth — who want cost attribution before scaling further.

User comments

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