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Peachblue

Reads ad creatives and daily performance from Meta, TikTok, Google Ads and Amazon DSP, scoring each creative and suggesting scale, cut or fix actions.

From $79/moActively maintained

MarketingAnalyticsEvaluation
peachblue.io ↗GitHub
Open peachblue.ioAlternativesSet it up for my team
Peachblue: data, price, alternatives
At a glancechecked Oct 28, 2026

not read yet

Use

For
Marketers running paid ads on Meta, TikTok, Google and Amazon DSP who want creative performance analysis
Price
From $79/mopricing page, read Oct 29, 2026Trial & discounts: free trial
Activity
Actively maintainedsite updated 5 days ago
Company
Peachblue Technologies Inc.terms of service
Used for
  • score ad creatives against their campaign objective
  • decide which ads to scale, cut or fix
  • ask an AI agent about account performance
read off peachblue.io on Oct 29, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 29, 2026

From $79/mo

Trial & discounts free trial

pricing page

Price Watch: every price change in the Atlas, weekly

Your datawhat they publish, each line with its page · read Oct 29, 2026

“We do not use your ad data to train AI models.”

privacy policy ↗

These are Peachblue's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP serverio.peachblue/peachblueverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-29
  • Address to connectapp.peachblue.io/api/mcp/mcp
  • MCP docspeachblue.io/mcpthe vendor's page ↗

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Marketingby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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Questions this page answers
  • What is Peachblue?

    Reads ad creatives and daily performance from Meta, TikTok, Google Ads and Amazon DSP, scoring each creative and suggesting scale, cut or fix actions. It is listed in the Atlas under Marketing and made by Peachblue Technologies Inc.

  • Who is Peachblue for?

    Marketers running paid ads on Meta, TikTok, Google and Amazon DSP who want creative performance analysis

  • How much does Peachblue cost?

    Paid plans start at $79/mo, per Peachblue's pricing page on 2026-10-29.

  • Is Peachblue free?

    No. Its pricing page showed no free plan on 2026-10-29.

  • Is Peachblue still maintained?

    Actively maintained: site updated 5 days ago.

  • Who owns Peachblue?

    Peachblue is run by Peachblue Technologies Inc., per its terms of service (2026-10-29).

  • Does Peachblue train AI on your data?

    No, per its privacy policy (2026-10-29): “We do not use your ad data to train AI models.”

  • Is Peachblue safe?

    We do not audit vendors. What Peachblue publishes, read 2026-10-29: SOC 2 stated on its privacy policy; on training with your data, “We do not use your ad data to train AI models.”.

  • Does Peachblue have a free trial?

    Yes, a free trial, per its pricing page (2026-10-29).

  • What are alternatives to Peachblue?

    In Marketing, by use: Sprites.ai, Madgicx AI, Blotato, Parse, Ads Uploader.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk