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    from raw data to a shipped change

    AI marketing automation that measures itself.

    Turn a finished analysis into a Loop that runs on a schedule, or a team automation on Cloud. Each run ships its changes with the tools you granted and is measured like any other ticket. The good loops run again.

    Start freeCloud for teams · book a demo

    or from your own AI

    claude mcp add --transport http cogny https://app.cogny.com/mcp

    what AI marketing automation does, and how it differs from rule-based workflows

    AI marketing automation uses an agent to do recurring marketing work across channels: reading the numbers, deciding what to change, making the change and reporting on it. Rule-based automation does exactly what you programmed. An agent reads the situation each time, so the same weekly job can pause an ad one week and propose a new audience the next.

    Cogny connects the agent to your stack, 72 integrations across ads, analytics, search, email, e-commerce and CMS, and gives the automation two things rule engines lack: a log of every write with who authorised it, and a measured verdict on every change. That's what lets you keep an automation running with a straight face.

    On Solo, Cogny AI and Cogny Pro, you create a Loop from a chat that went well: the same work, on a schedule, with the tools you picked. On Cloud, scheduled reports from over 70 templates, ticket generation across all channels and automations do the same for a team.

    The difference between a workflow and a loop is the verdict.

    these keep marketing teams in reactive mode

    • Campaign sprawl

      Dozens of campaigns across channels, each wanting daily attention.

    • Audiences in silos

      Segments built in the CRM never reach the ad platforms, or arrive out of date.

    • Silent creative fatigue

      Ads wear out quietly. The CPA rises before anyone notices.

    • The reporting bottleneck

      Hours a week rebuilding the same report, stale before it's sent.

    from one good chat to a loop

    1. 01

      Do it once

      Analyse and ship a change in a chat, with your approval.

    2. 02

      Make it a Loop

      Create Loop, pick the schedule and the tools it may use.

    3. 03

      It runs

      Each run reads fresh data and ships its changes. Every write is logged.

    4. 04

      Verdict

      Each run is a measured ticket. Keep the loops that work, stop the ones that don't.

    automation runs, on the record

    changeshipped inmeasured inresult
    Weekly: pause creatives with falling CTRshipped in Meta Adsmeasured in GA4 purchases · 3 daysCPA −6%worked
    Weekly: sync high-value segmentshipped in Klaviyomeasured in Shopify orders · 7 days+3% repeat orderspartial
    Monthly: bid up on top converting keywordsshipped in Google Adsmeasured in GA4 conversions · 3 daysCPA +18%didn't work

    Example rows, not customer data.

    end-to-end automation, with an audit trail

    • Cross-channel work

      Google, Meta, LinkedIn, TikTok, email, CMS and shop, from one agent.

    • Audiences where they're needed

      Segments and custom audiences created in Klaviyo, Meta and the ad platforms, after approval.

    • Creative watched in the data

      Falling CTR and rising CPA read per ad, with a proposed fix.

    • Reports that write themselves

      Scheduled reports on Cloud; a daily update on what moved on paid plans.

    where AI marketing automation replaces manual work

    • Cross-channel campaign management

      One weekly Loop reads Google, Meta and LinkedIn against GA4, pauses what stopped converting and proposes where the budget goes next. Your team sets the targets; the loop does the rounds.

    • Audience orchestration

      Your first-party data is the advantage. A loop can rebuild segments from your shop and email data and create matching audiences in the ad platforms, each change measured.

    • Creative performance

      A loop reads CTR and CPA per creative, flags fatigue and proposes a rotation before the cost climbs.

    what it doesn't do

    • It doesn't run tools you haven't granted. A Loop uses exactly the tools picked when it was set up.
    • It doesn't keep a loop running because it ran. Each run gets a verdict; you decide what stays.
    • It doesn't include Loops on Free. Loops start on Solo; scheduled reports and automations are Cloud.

    the record.

    Published case studies, each one linked.

    −56%cost per lead in January, with 75% more leadsGoogle Ads · January 2025Stockholm Trädgårdstjänst →+53%influenced pipeline at the same spend levelLinkedIn data + CRM · 2026 YTDB2B fintech →80×new users in 45 days, building paid acquisition from zeroMeta Ads · 45 days, 2026AI companion app →

    what it costs.

    • Free $015 MCP calls a month and 50 one-time chat credits, no card
    • Solo $9unmetered in your own AI, fair use
    • Cogny AI $18150 credits
    • Cogny Pro $901,500 credits
    • Cloud $4995,000 credits, for teams

    Per month. Solo, Cogny AI and Cogny Pro have one seat each. Every change is recorded on every plan; Solo measures 3 a month, Cogny AI and Pro measure every one and add monthly credits. Teams need Cloud. Compare plans →

    the good loops run again.

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