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    experiment across your whole stack

    every channel. one ledger of changes.

    Cross-channel campaign optimization without a new dashboard. Cogny reads Google, Meta, LinkedIn, TikTok and the rest against the same outcomes, proposes the next change, ships it once you approve, and gives it a verdict three days later.

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    or from your own AI

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

    what AI campaign optimization actually does, and why platform dashboards fall short

    AI campaign optimization means managing campaigns across several ad platforms as one system: comparing them on the same outcomes, deciding where the next change should go, making it, and checking whether it worked. Each platform's own optimiser only sees its own auction and grades itself on its own conversions.

    Cogny connects to your ad accounts, analytics and shop or CRM over OAuth and reads them together. It normalises what each platform reports against the conversions you trust, then proposes one change: a budget shift, a bid adjustment, an audience exclusion, a paused ad set. You approve it in the Cogny app or in your own AI, and it is made in the platform directly.

    Speed comes from removing the queue, not from skipping the check. The research that used to wait for an analyst takes minutes, the change ships the same day, and three days later Cogny compares before with after and closes the ticket with a verdict. Over a quarter that becomes a ledger of what moved results across channels, and what didn't.

    Platforms optimise their own auction. You need someone reading all of them.

    the hidden cost of managing campaigns across platforms

    • Platform silos

      Three tabs, three attribution windows, three definitions of a conversion. The spreadsheet that joins them is always a week old.

    • Budget follows habit

      Budgets move on last quarter's split, not on which channel returns the next customer cheapest.

    • Double-counted conversions

      Every platform claims the same sale, so the total looks better than the bank account.

    • Reporting overhead

      Hours spent building the deck that says what happened, and none on deciding what to change.

    from fragmented platforms to one loop

    1. 01

      Unify

      Connect the ad platforms, GA4 and your shop or CRM. Cogny reads them against the same outcomes.

    2. 02

      Analyse

      It finds which campaigns, audiences and creatives drive real outcomes, not platform metrics.

    3. 03

      Approve and ship

      One cross-channel change at a time, made in the platform once you approve.

    4. 04

      Verdict

      Three days later, before against after. The result decides the next change.

    cross-channel changes on the record

    changeshipped inmeasured inresult
    Shift 10% from Meta prospecting to Google brandshipped in Google Ads + Metameasured in GA4 purchases · 3 daysCPA −11%worked
    Exclude converters from LinkedIn retargetingshipped in LinkedIn Adsmeasured in CRM pipeline · 3 dayssame pipeline, spend −7%worked
    New TikTok ad group for 18–24shipped in TikTok Adsmeasured in GA4 sign-ups · 3 daysno change in sign-upsdidn't work
    Raise target ROAS on shoppingshipped in Google Adsmeasured in Shopify revenue · 3 daystoo little volume to callinconclusive

    Example rows, not customer data.

    cross-channel decisions you can defend

    • One reading of every channel

      Google, Meta, LinkedIn, TikTok, Bing, Reddit, X and more, compared on the outcome you choose.

    • Changes made where the money is

      Budgets, bids, status, targeting and audiences, shipped in the platform after approval.

    • A graph per KPI on the start page

      Each KPI's last 30 days against the 30 before, on every plan.

    • Verdicts, not vanity metrics

      Every change closes as worked, partial, didn't work or inconclusive, measured in your own data.

    where AI campaign optimization changes outcomes

    • Cross-channel budget allocation

      Cogny compares marginal return across channels on your real conversions and proposes the shift worth making next. Each shift is measured three days later, so allocation becomes a series of decisions with results instead of a quarterly guess.

    • Audience work across platforms

      Your best audience on Meta may not match your best converters on Google. Cogny reads both, proposes exclusions, lookalikes or new segments, and creates them in the platform once you approve.

    • Catching problems early

      On paid plans, a daily update says what moved on each KPI graph and why. A CPC jump, a tired creative or a tracking gap becomes a proposed fix instead of a surprise at month end.

    what it doesn't do

    • It doesn't reallocate budget automatically. You approve each change.
    • It doesn't replace the platforms' own bidding. It decides what to change around them, and measures it.
    • It doesn't merge your accounts into one multi-client dashboard. Agencies run one workspace per client.

    the record.

    Published case studies, each one linked.

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

    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 →

    every channel, one ledger.

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