◈ Customer acquisition

Spend on customers.
Not on the machinery
that finds them.

Acquisition teams run on infrastructure they rarely see: landing pages, tracking endpoints, attribution jobs, onboarding flows, the warehouse that ties them together. Every pound that goes on that machinery is a pound that did not go on reaching someone. Compute runs the same machinery for less than the leading cloud, billed for what it actually did.

Used by growth teams at startups, midsize businesses and Fortune 500 brands alike.

30%
Under the leading cloud on CPU instances
Per-second
Billing on machines
Minutes
From commit to live page
One
Bill for the whole funnel

What this looks like in practice

◆Landing pages and campaign microsites◆Tracking and event collection endpoints◆Attribution and conversion modelling jobs◆Sign-up, trial and onboarding flows◆Referral and promotion services◆Audience and segment pipelines◆AI-written variants for testing◆Landing pages and campaign microsites◆Tracking and event collection endpoints◆Attribution and conversion modelling jobs◆Sign-up, trial and onboarding flows◆Referral and promotion services◆Audience and segment pipelines◆AI-written variants for testing
What holds true here

Four things you stop arguing about

◆

Pages live in minutes

Panel builds and hosts from git. A new landing page is a branch, and build minutes cost 30% under the leading cloud’s hosting builds.

◇

Pipelines that bill by the run

Attribution and segment jobs run on Compute Instances billed by the second, and stop costing money when they finish.

◈

Cost per acquisition, honestly

Infrastructure is part of what a customer costs to win. A published price beside the leading cloud’s makes that part knowable.

○

Room to test

No commitment means a campaign can be tried at full size for a week and switched off without a contract to unwind.

The shift

Infrastructure stops eating the acquisition budget

Growth infrastructure tends to accrete. Each campaign leaves a page, a tracker and a job behind, and the bill for all of them arrives as one unexplained line. The fix is not austerity. It is paying less for each piece and only while it is working.

The usual arrangement
  • ✕Old campaign stacks still running and still billing
  • ✕Launches waiting on an engineer to provision something
  • ✕Attribution jobs on machines sized for the worst day
  • ✕Infrastructure cost missing from cost per acquisition
  • ✕Experiments sized to fit a reservation
What replaces it
  • ✓Pages and jobs that cost nothing once retired
  • ✓A launch that is a merged branch
  • ✓Jobs billed by the second, for the seconds they ran
  • ✓A per-campaign cost you can actually attribute
  • ✓Experiments sized to the question
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud’s hosting builds
Per build minute on Panel
30%
Under the leading cloud on CPU
Same vCPUs and memory, cheapest the leading cloud match
Per-second
Machine billing
No reservation, no minimum term
Published
Prices
With the leading cloud’s own price beside them
Closer in

Customer Acquisition, specifically

The campaign that pays for its own stack

A launch needs a page, a form, a tracker and somewhere for the data to land. On Compute those are a Panel site, a CosmoBase database and a job on a Compute Instance, all on one bill. When the campaign ends, so does the cost, and what it did cost is a figure you can put next to the customers it brought in.

Domains with the page

Register the campaign domain and point it at Panel in the same account. One-time for the registration, nothing to reconcile.

Events at the edge

Collection endpoints deployed with Nexus, close to the visitor, so the tracking is not the slow part of the page.

Onboarding that changes weekly

Sign-up and trial flows reviewed in CodeGraph and shipped through Panel on an ordinary cadence.

Variants written for you

Generate copy variants with AI inference, billed per token at 30% under the leading cloud’s model service for the same model.

Against the leading cloud

Customer Acquisition on Compute, against the leading cloud

Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
30% less
4 vCPU / 8 GB server
$0.0941/hr
Leading cloud $0.1344/hr · Its cheapest machine with 4 vCPU and 16 GiB
30% less
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less

Compared with the leading cloud's own published on-demand prices, US East. Every comparison.

Questions we are actually asked

Answers without the hedging

Does Compute do our acquisition for us?+

No. Compute is the infrastructure your acquisition runs on: the pages, the pipelines, the databases and the models. Your tools and your team decide what to run on it.

Can we keep our existing analytics and CRM tools?+

Yes. Anything that runs on a machine, a database or a git repository runs here. Most teams move the pieces they own first and leave third-party tools pointed at the new endpoints.

What does a small team pay to start?+

Two databases, 10 GB of object storage and 10 repositories are included before you pay anything. After that it is usage: build minutes, machine seconds and tokens, at published prices.

How do we compare this against our the leading cloud bill?+

The compare page lists our price beside the leading cloud’s published price for the same item. Take a month of your current cloud usage, price it at both, and the difference is the answer.

Other industries

Where else this goes

AI Agents

Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.

Marketing

Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.

Lead Generation

Run the forms, enrichment jobs, scoring models and routing that turn interest into leads, for less than the same infrastructure costs on the leading cloud.

Sales

Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.

Creator Economy

Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.

SaaS

Run your product, its databases, CI and AI features on one platform that costs less than the leading cloud for the same machines, databases and models.

Start where it matters most

Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.

No migration required to begin. Nothing to tear down if you stop.