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Monetisation
Revenue report with bar charts, a calculator and a laptop on a finance desk

Find every way your business can make money

Monetisation reads your site, pricing and revenue data and shows the next ways to earn more, each with an estimate in dollars. Then it tests them for you.

No card, no account Public pages only Every estimate shows its method

Example workspace with sample numbers. Every figure marked as an estimate shows its range and method in the product.

16

revenue streams checked in every audit

40+

opportunity types in the library

3

numbers per estimate, low, expected and high

1 min

for a sample audit of your public pages

See the next dollar across your whole revenue stack

Most businesses earn from one or two streams and leave the rest to chance. Monetisation checks all sixteen, marks which you use, which can grow and which are missing, and puts a monthly range on each gap.

  • Subscriptions

    01

    Annual plans, yearly default, lifetime deals turned into renewals

  • Pricing

    02

    Plan prices, a Pro or Enterprise tier, seats, regional prices

  • Usage pricing

    03

    Overages above plan limits, usage tiers, metered add-ons

  • Paywalls

    04

    Memberships, metered paywalls, paywall timing in apps

  • Hands rearranging printed plan cards during a pricing workshop

  • Advertising

    05

    Display ads, ad yield, promoted listings, rewarded ads

  • Affiliate

    06

    Commissions on the products your content already recommends

  • Sponsorship

    07

    Newsletter and site sponsors with a published rate card

  • Upsell and cross sell

    08

    Upgrade prompts at 80 percent of limits, checkout extras

  • Bundles

    09

    Paid add-ons and packages for the features people ask for

  • Take rate and fees

    10

    Tiered commission, buyer service fees, payment fees

  • Licensing

    11

    AI crawler licensing and content licences

  • API and data

    12

    API access by usage tier, aggregated data licences

  • Premium features

    13

    Seller subscriptions, courses, communities, premium tools

  • Trials

    14

    Trial length, card upfront, free plan replaced by a trial

  • Discounts

    15

    Discount leakage from coupons that never expire

  • Retention

    16

    Pause and downgrade offers, failed payment recovery

Connect, find, test, in that order

Connections are read-only. Monetisation builds one revenue model from them, runs the opportunity engine over it and closes the loop with a measured experiment.

1 Connect

Read-only sources

  • Stripe
  • Website
  • Google Analytics 4
  • Search Console
  • HubSpot
  • Salesforce
  • Product database
  • Google Ads
  • Meta Ads
  • CSV import

2 Find

Revenue model and opportunity engine

MRR
$42,800
ARPU
$64
Annual share
9 percent
Discounted MRR
$2,140
Monthly churn
3.1 percent

Example values. The engine checks 40+ opportunity types against them.

3 Test

Experiments with a verdict

  • Snippet variants on your pricing page or paywall, with a holdout group
  • Billing changes you make, measured against the baseline trend
  • Playbooks with a checklist for ads, sponsors and licensing
Growth team looking at a revenue dashboard on a meeting room screen
Analyst highlighting discounted lines on printed invoices

Pricing

Increase Team plan price 12 percent

214 accounts on Team at $49 a month bring $10,486 MRR, and the plan has not changed price in 18 months.

Estimate, per month

+$2,930

$1,460 to $3,610

Medium confidence Effort low Risk medium
Method and first steps

214 accounts on Team at $49 a month bring $10,486 MRR. A 12 percent increase adds $1,258 per month on those accounts, and we subtract 4 percent assumed extra churn. The range uses 6 to 15 percent increases with 3 to 4 percent extra churn. Example figures. This is an estimate, not a guarantee of results.

  1. 1Raise the price for new customers first and watch conversion for 14 days
  2. 2Give existing customers 60 days notice
  3. 3Track churn of the plan against the baseline
Run experiment Hypothesis, metric, baseline and window are prefilled.

Every number shows how it was made

An estimate you cannot check is a guess. Each opportunity carries a low, expected and high monthly value, a confidence label, effort and risk, and the method in plain words: which inputs, which assumption, which range.

  • Your own numbers first

    With billing connected, the estimate uses your plans, accounts, discounts and churn. From public pages alone it uses your revenue band and says so.

  • Ranges, not promises

    The expected value sits inside a range, and overlapping plays are combined, not added, so the total stays honest.

  • Labelled every time

    Every figure is marked as an estimate. Never a guarantee of results.

Read how estimates work

Test the idea before you bet the quarter on it

One click turns an opportunity into an experiment with a hypothesis, a metric, a baseline and a test window. Results arrive as lift with an interval and a plain verdict. Losses are shown too, because a test that saves you from a bad price change is worth as much as a win.

Laptop showing the result of a pricing experiment with two variants

Yearly toggle preselected on pricing page

Snippet, 10 percent holdout, 21 days

Win

Lift

+14.2%

95% interval

+6.1% to +22.3%

Paid conversion 3.1% vs 2.7%, 4,820 visitors

Team plan at $55 for new customers

Billing change, baseline 90 days

Flat

Lift

+1.1%

95% interval

-3.4% to +5.6%

New MRR per week vs trend, 6 weeks

Paywall after first export

Snippet, 50 and 50 split, 14 days

Loss

Lift

-8.7%

95% interval

-15.9% to -1.5%

Trial starts 5.2% vs 5.7%, 6,140 visitors

Example results for illustration.

Finance and growth leads reviewing a stacked revenue chart

For the CEO and CFO, the cost of one missed price change

Move the sliders to your own numbers. The estimator shows what a year without one price change and without a yearly plan costs, as a range.

Missed in twelve months

Estimate

$25,313

Low $16,875High $31,350

That is about 43 times the yearly cost of Starter, $49 a month billed yearly.

This is an estimate, not a guarantee. Method: price change on current MRR kept by 50, 75 or 90 percent of customers, plus churn saved by yearly billing at 1, 1.5 or 2 points a month, compounded over twelve months.

Read-only by design

Monetisation never changes a price, a charge, a customer or a subscription in your accounts. It reads, computes and shows. Any change is yours to make.

How we handle your data
Hands on a laptop adjusting access settings in a quiet office

  • Restricted read-only keys

    Stripe connects with a restricted key that can only read. Analytics and CRM use read scopes.

  • Encrypted at rest

    Credentials and synced data are encrypted at rest and in transit.

  • No model training

    Your data computes your own model and results. It never trains AI models.

  • Roles and audit log

    Owner, admin, analyst and viewer roles. Every sign-in, export and source change is logged.

  • Retention you control

    Pick how long synced data is kept, or delete the workspace data at any time.

  • SSO and DPA on Scale

    SAML single sign-on, a data processing agreement and a security review pack.

How it compares with the other ways to grow revenue

Each option has its place. This is where Monetisation fits.

Monetisation Pricing consultancy Enterprise price suite Single-stream tool Spreadsheet
Covers every revenue stream Yes, 16 streams Usually pricing onlyPrice listsOne streamWhat you add
Time to first result About a minute WeeksMonthsDaysDays
Shows the method behind numbers Every estimate In the reportPartlyVariesIf you write it
Runs and measures tests Built in NoSomePaywalls or ads onlyNo
Keeps going as data changes Re-audits after each sync One projectYesYesManual
Cost From $49 a month, yearly Project feesSales-only contractsUsage or revenue shareYour time
Workshop room after a consulting session with slides and notes

A project ends. Revenue keeps moving.

Prices, churn and traffic change every month. Monetisation re-audits after each sync, so the list of next moves stays current long after a workshop.

Read the full comparison

Common objection

We are too small for this.

From public pages alone you get directional ranges and a clear list of what to try first. That is the point of the sample audit.

Common objection

An AI will make up numbers.

The engine computes estimates from rules and your data, and shows the arithmetic. AI writes the narrative, not the numbers.

Common objection

We cannot risk a pricing mistake.

That is why changes go through experiments with a holdout or a baseline, and the verdict can be a loss.

Built for any business that earns online

The opportunity library changes with your business type, so a publisher sees sponsorship and licensing while a marketplace sees take rate and seller subscriptions.

SaaS use case

SaaS

Annual plans, tiers, seats, overages

 Publishers use case

Publishers

Ads, sponsors, memberships, licensing

 Creators use case

Creators

Memberships, courses, sponsorships

 Apps and games use case

Apps and games

Paywalls, trials, rewarded ads

 Marketplaces use case

Marketplaces

Take rate, seller plans, promoted listings

 E-commerce use case

E-commerce

Price watch, bundles, subscribe and save

 API and data use case

API and data

Usage tiers, overages, data licences

Weighing a pricing consultant?

An honest comparison, including when a consultant is the better choice.

Read the comparison

Pricing that pays for itself with one change

Three plans, each a subscription. Yearly billing halves the monthly price. Every plan includes full audits with methods, experiments and the AI analyst.

Starter

For a founder who owns pricing and wants the next revenue move in dollars.

$49 per month

Billed $588 yearly

  • 3 connected sources
  • 4 full monetisation audits per month
  • 3 experiments running at once, 6 started per month
  • AI analyst, 100 questions per month
  • Weekly digest, CSV and PDF export
  • 2 seats

Growth

Recommended

For a growth team that ships a pricing or packaging test every month.

$199 per month

Billed $2,388 yearly

  • 10 connected sources incl. CRM, product database and ad platforms
  • 20 audits per month, re-audit after every data refresh
  • 15 experiments at once, pricing page and paywall variants with holdout
  • AI analyst, 500 questions per month
  • Discount leakage monitor
  • Competitor pricing watch, up to 10 pages
  • 5 seats, roles, Slack and email alerts

Scale

For companies with several brands or products and a security review to pass.

$599 per month

Billed $7,188 yearly

  • 30 connected sources, up to 5 brands or products
  • 80 audits per month, 60 experiments at once
  • AI analyst, 2,000 questions per month
  • SSO with SAML, audit log, retention controls
  • DPA, security review pack, invoices with your company details
  • 99.9 percent uptime SLA, priority email support
  • API access and webhooks
  • 20 seats

Not sure yet? Run a sample audit of your site first. No card needed.

Questions buyers ask first

Something else on your mind? Write to [email protected].

Notebook with a pencilled estimate range next to a chart
What is a monetization platform?

A monetization platform looks at how a business makes money today and finds more ways to earn from the same product, audience and traffic. Monetisation does this across 16 revenue streams, from subscriptions and pricing to ads, sponsorship, licensing and API fees, and then tests the best ideas.

Are the revenue estimates real or made up?

Every estimate is a range with a low, expected and high value, and it shows its method: the inputs used and the assumption behind them. From public pages alone the base is the revenue band you choose. With billing data connected, the estimate uses your own plans, accounts, discounts and churn. It is an estimate, never a guarantee.

Will you change my prices or touch my Stripe account?

No. Connections are read-only. You connect Stripe with a restricted key that can only read. Any price change is made by you in your own billing, or shown to visitors through the experiment snippet you install.

Does this work if we are not a SaaS company?

Yes. The opportunity library has plays for publishers, creators, apps and games, marketplaces, e-commerce stores and API or data businesses, including ads, sponsorship, memberships, take rates, seller subscriptions and AI crawler licensing.

How is this different from a pricing consultant?

A consultant runs a project and leaves a report. Monetisation keeps auditing as your data changes, shows the method behind every number, and measures each change with an experiment. It costs from 49 USD a month billed yearly. For a one-off repositioning of a large enterprise, a consultant can still be the better choice.

How much data do I need?

None for the sample audit: it reads up to five public pages of your site. For a full audit, connecting billing data gives the most precise ranges. Small businesses get directional ranges with a lower confidence label.

Is my data used to train AI models?

No. Your data is used only to compute your own revenue model, opportunities and experiment results. It is encrypted at rest and you can delete the workspace data from settings at any time.

Can I cancel any time?

Yes. You cancel from the billing page in a couple of clicks. Access lasts until the end of the period you paid for. Payments are final, as described in the refund policy.

Guides on monetisation and pricing

SaaS pricing · 11 min read

Usage based pricing, when it fits and how to run it without surprising customers

API and data · 11 min read

API monetization strategy, from free tier and rate limits to usage pricing and data licensing

SaaS pricing · 12 min read

SaaS pricing strategy, from value metric and packaging to price increases

Untapped monetisation

Find your next dollar in about a minute

Enter your website. See the first three opportunities with estimates, free of charge and without an account.

Earned today Untapped, estimated

No card, no account Public pages only Every estimate shows its method