AI Media Buyer By Creatify - Your ads, managed by AI that gets smarter daily.
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Every media buyer knows the ritual: five dashboards, three hours of reports, still guessing what to do next. Creatify AI Media Buyer connects to your Meta, Google, AppLovin and TikTok ad accounts and does what a human buyer does audits campaigns, finds spend that's quietly bleeding, spots what's scaling, and acts on it. It generates new creatives from your actual winners and launches them, all through chat. And it remembers your account history, so its recommendations compound over time.
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Creatify
@mdkhurshed_sk Thanks! Consistency at volume is mostly a model selection problem, the pipeline picks per scene instead of forcing everything through one generator, which is what keeps output stable across regular use. And since new creatives generate from your actual winners, quality compounds rather than drifts. Easiest proof is the trial though make a few and judge for yourself 🙌
"spots what's scaling, and acts on it" is the part I'd want a kill switch for. does it auto-shift budget between campaigns on its own, or does it draft the move and wait for you to approve before touching spend?
Creatify
@sabber_ahamed it drafts the move and waits. Nothing touches spend, budgets, or campaign status without your approval; the agent preps the action with its reasoning and you sign off. So the kill switch you're describing is effectively the default state: it can't act on spend unilaterally. The "acts on it" part is that it does the full prep analysis, recommendation, ready to execute change. instead of just alerting you and leaving the work.
@gourav_chhabra2 good, approval-by-default is the right call for anything touching real budget. once someone's approved the same type of move ten times in a row, is there any path to a trusted auto-approve, or is every single recommendation a fresh sign-off forever?
Creatify
AI Media Buyer finally closes the loop for performance marketers making it an end-toend platform that studies your product, researches competitors, orchestrates a team of agents to build creatives, uploads assets directly to ad platforms, and manages the accounts.
An agent that actually runs the buying, not just drafts the creative, is where this gets interesting. The hard part is rarely generating variants, it is killing a losing ad fast enough for it to matter. I wonder how much control it hands back on budget guardrails before it starts spending, because that is usually the line between a helper and something people are scared to turn on.
Creatify
@liana_preston "Killing a losing ad fast enough for it to matter" that's exactly the job. The detection runs without you: continuous performance reads, verified against actual revenue, so losers get flagged same-day instead of at your Monday report pull. On guardrails approval first on everything. The agent preps the kill or budget shift with its reasoning, you approve, it executes. The scary autonomous version isn't the starting point; the speed win is that detection and prep happen without you, the decision stays yours.
The "staring at dashboards for hours trying to figure out what worked" ritual is painfully real. The part I'd need to trust before handing over spend: when it recommends cutting or scaling, does it surface the reasoning, or is it more "trust me"? For media buyers the fear isn't automation — it's an agent quietly killing a campaign that was about to turn. How much of the "why" does it show?
Creatify
@david_marko The reasoning is the whole product, honestly every recommendation shows the "why": what it read, what it found, what it suggests. Nothing gets killed quietly; you approve every cut. And the flip side: the founder note story is the agent catching a campaign a human had wrongly paused it was producing the highest value buyers. The reasoning layer cuts both ways.
curious about the approval flow can I set thresholds so small budget changes auto-apply but big ones need sign off?
@nyn531 @gourav_chhabra2 verifying winners against Stripe instead of Meta's attribution is the smart part here. Question from the operator side: when a winner starts to decay, can it tell creative fatigue from audience saturation? Those need opposite responses and most tools treat them the same. And does it touch the audience side at all, or only creative and budget?
The part I'd want to see is whether people are comfortable letting an AI make changes to campaigns instead of just recommending them. How much control does the user have before the AI actually launches or changes a campaign?
Solo founder here, I do all my marketing myself. What's the minimum monthly ad budget where this starts to make sense ?
Awesome product!