SEO and marketing decision

Crush AI

A small team or capable engineer can build a narrow ad-campaign management and reporting replacement, but reproducing a full paid digital-advertising platform (connectors, polish, support, and ongoing ad-network compatibility) is operationally heavy and better kept as a paid service.

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You pay

Not priced

No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.

You’d pay instead

$100one-off160 h to build

$200/mo6 h/mo upkeep

No published price to break even against.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Crush AI alternatives, with the arithmetic →

What a replacement has to do

  • Create and manage ad campaigns, connect ad network accounts, generate/adapt creatives via AI, schedule/rule-based spend, and view aggregated performance reports.

What it still won’t have

  • Out-of-the-box integrations with many ad networks and ongoing connector maintenance
  • Polished UI/UX, onboarding flows, and enterprise support
  • Any proprietary models or data the vendor may use for ad optimization
  • SLA-backed uptime, billing, and compliance assurances

What remains hard

  • Product polish and ongoing maintenance
Read the build prompt

First-year cost

No published price

Crush AI does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying
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Subscription price × seats × 12

Build it
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AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal ad campaign management service in Node.js + Express, Postgres, and React. Core features in scope: OAuth connections to Google Ads and Meta Ads (mockable if API access unavailable), campaign CRUD (name, budget, start/end, creatives), a scheduler worker (node-cron) that pulls metrics from connected accounts and aggregates KPIs into Postgres, an endpoint that calls an LLM (OpenAI or similar) to generate text creative suggestions, and a React dashboard showing campaign list, KPIs, and CSV export. Out of scope: marketplace billing, multi-tenant enterprise features, and advanced automated bidding. Include input validation, error handling, unit tests for API endpoints, integration tests for the scheduler, and deployment scripts (Dockerfile and a terraform or simple cloud run guide).
How we checked2 sources · 2/3 runs agreed · evidence score 58

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 2 cited sources+1
  • Evidence score58

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 2

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 1 moat recorded