◈ Marketing

Ship the campaign.
Skip the ticket
to infrastructure.

Marketing now runs on software: sites that change daily, personalisation that runs on every visit, content that is drafted by models and checked by people. Compute gives marketing teams and the engineers who support them one place to run all of it, priced below the leading cloud where the comparison is like for like and billed only for what was used.

Used by in-house teams, agencies, and marketing engineering groups at Fortune 500 companies.

30%
Under the leading cloud’s hosting builds on builds
Git
To live site, in one step
Per-token
AI content billing
Zero
Minimum term

What this looks like in practice

◆Campaign sites and brand microsites◆Personalisation and recommendation services◆Content drafting and localisation with AI◆Email and lifecycle data pipelines◆Marketing analytics and reporting◆Asset libraries and media storage◆Preview environments for every review◆Campaign sites and brand microsites◆Personalisation and recommendation services◆Content drafting and localisation with AI◆Email and lifecycle data pipelines◆Marketing analytics and reporting◆Asset libraries and media storage◆Preview environments for every review
What holds true here

Four things you stop arguing about

◆

Every branch a preview

Panel builds each change into a link reviewers can open. Approval happens on the real page, not a screenshot.

◇

Content at a known price

Draft, translate and summarise with AI inference billed per token, at 30% under the leading cloud’s model service for the same model.

◈

Assets in one place

Images, video and documents in Cloud Services object storage, in the same account as the sites that use them.

○

Budgets that hold

Published prices and per-second billing mean the infrastructure line in the marketing budget is a forecast, not a surprise.

The shift

Marketing stops queueing for engineering time

The slowest step in most campaigns is not the idea or the creative. It is waiting for someone to stand up a site, wire a form and check the bill. When that work is a branch and a published price, the queue goes away.

The usual arrangement
  • ✕Launch dates set by the infrastructure backlog
  • ✕Reviews done on screenshots of a page nobody can open
  • ✕AI content spend on a separate, unpredictable bill
  • ✕Microsites left running long after the campaign
  • ✕An the leading cloud invoice nobody in marketing can read
What replaces it
  • ✓A launch that is a merged change
  • ✓A preview link for every revision
  • ✓Tokens priced and billed alongside everything else
  • ✓Retired sites that stop costing anything
  • ✓One bill, itemised in terms marketing recognises
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud’s hosting builds
Per build minute
30%
Under the leading cloud’s model service
General-model tokens
Per-second
Machine billing
For personalisation and data jobs
One
Bill
Sites, data, models and domains
Closer in

Marketing, specifically

The launch that does not need a meeting

A campaign site is a repository in CodeGraph, built by Panel, served on a domain registered in the same account. Reviewers get a preview link, approval is a merge, and the site is live. Nobody has to provision anything, and when the campaign is over, nobody has to remember to switch it off for the bill to stop.

Personalisation without the peak

Recommendation services on Compute Instances, billed by the second, so a busy launch week costs what it costs and a quiet one does not.

Localisation at scale

Translate and adapt copy across markets with AI inference, with a person still deciding what ships.

Faster at the edge

Deploy with Nexus so pages render close to visitors wherever a campaign runs.

Data that reconciles

Lifecycle and reporting data in CosmoBase, at 30% under the leading cloud’s managed databases per database-hour.

Against the leading cloud

Marketing on Compute, against the leading cloud

Build minutes
$0.007 / build minute
Leading cloud $0.01 / build minute · Managed hosting build minutes
30% less
General & code model — output
$0.455 / million tokens
Leading cloud $0.65 / million tokens · The same open-weight model, output tokens
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

Is this a marketing platform?+

No. It is the cloud your marketing software runs on. Your sites, data pipelines, personalisation and AI content tooling run here; the strategy remains yours.

Can non-engineers use it?+

The day-to-day loop is a preview link and an approval, which anyone on the team can do. Setting up a site the first time is a job for someone comfortable with git.

What about agency work across many clients?+

Each client can be its own project with its own sites, domains and data, kept apart from the others, and billed so you can see exactly what each one used.

Is storage for our media cheaper than on the leading cloud too?+

We make the 30% claim only where it holds: machines, databases, build minutes, tokens and support. Storage and bandwidth prices are published on the pricing page so you can judge them for yourself.

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.

Customer Acquisition

Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.

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.