DynamicAdBook a call

Run marketing at the speed of the algorithm.

Algorithm‑led growth across the full marketing stack.

InsideLive targeting · Tailored experiences

We map the operating system to your acquisition model, then name the entry point that fits your stage.

Book a 30-minute call

30 minWith a founderPrepared read

Six layers. One operation. Each layer compounds the next.

OperatingAlways on · Algorithm-led · Human-approved

Two funnels. One signal contract. The layers compound differently.

B2B pipeline and DTC catalog run the same six layers against one signal contract, tuned to different funnel physics.

B2B PipelineLead OSPipeline engineered against your first-party signal. Every layer learns what closed.Run Lead OS on your accountDTC CatalogCommerce OSCatalog-native acquisition priced to cohort LTV. Every layer learns which cohort paid back.Run Commerce OS on your store

By 2027, nearly four in five ad dollars run on algorithms. Engineer the signal.

The mechanic is brute, not fashionable: auction cycles now run faster than human review, and the platforms reward whoever feeds them the cleanest signal. The bidder sets the pace. Three failures show up in every account that hasn’t caught up.

01TOOLS DON'T COMPOUND

Algorithm-led growth needs an operating system. Tool stacks don't compound.

An integrated operation runs six layers against one shared signal, so every layer the bidder sees compounds the next. Most stacks run 6 to 12 vendors in parallel, each optimizing its own slice with no handoff between contracts. Compounding never fires: total spend increases, total learning stays flat.

Solved byLead OS · Commerce OS

02TRACKING LIES

First-party tracking is engineered or inherited. Inherited tracking distorts every bid.

Engineered first-party tracking produces a clean revenue signal the bidder can learn against. Most accounts run attribution inherited from 2022, reporting CAC 25 to 45% above what actually deposits. Every reallocation, every kill decision, and every bid floor rides on a number the bank does not recognize.

Solved byDynamic Infra

03BIDDER CHASES THE PROXY

The bidder optimizes whatever signal you send it. Send a proxy, fund the proxy.

A calibrated signal contract routes spend to the customer cohorts with the highest predicted revenue return. Most accounts send first-purchase ROAS or a generic lead event as the optimization target. Bid caps set at that proxy underbid highest-LTV cohorts by 60 to 70%, while the dashboard reads positive.

Solved byDynamic Optimization

It aims the targeting. It builds the ads. The return compounds.

Not a faster agency. Not another dashboard. Fix what your stack gets wrong, and the loop produces three things neither one can.

Algorithm-speed targeting

Aimed at the platform’s clock, not yours

First-party signal and live conversion data, fed into the audience the algorithm actually optimizes.

Automation alone runs 12% lower incremental ROAS than human-operated media (Haus benchmark).

Audience-fit creative

A different ad for every audience, at volume

Each segment meets the ad built for it, at a volume no human roster ships in a quarter.

Every variant is signal. More in parallel, faster the loop learns.

Compounding return

A return that compounds, not plateaus

Lower CPM, compressed learning, less waste. Every cycle makes the next one more efficient.

Each cycle’s gain becomes the next cycle’s floor. No plateau.

Six layers run this loop. Pick where to start.

Pick one layer. The loop pulls the rest.

The full operating system runs as one loop. Each layer also stands alone. Start where the gap is loudest. Add the next layer when the signal says so, not when a contract says so. Always on. Algorithm-led. Human-approved at every layer.

Server-side tracking, consent-safe conversion routing, and the always-on landing surfaces that complete them.

Your tracking lies. Half the conversions the bidder sees aren't the ones that paid.

A live read on who your best customer is, what they cost, where the funnel leaks, and what competitors pay to reach them.

Your ICP is the document nobody updated. The algorithm is bidding off it anyway.

One plan the algorithm executes against. Channel mix, audience priority, offer architecture, creative direction. Chosen for compounding.

Every channel reports a winning ROAS. Your blended growth says otherwise.

Static, video, and UGC creative produced at the volume the algorithm learns from, with landing pages engineered into the same brief.

Your ads fatigue faster than your shipping cadence.

Spend allocated against the customer worth keeping. Winners surfaced by signal, losers retired by signal.

The bidder is scaling the wrong customer. First-purchase ROAS finds the ones who never come back.

Attribution, incrementality, cohort LTV, and the operational reporting stack. Reconciled into one number you run the business on.

Three dashboards, three answers. No one agrees what a customer is worth.

Already strong in some layers? We scope around what you run. The loop integrates with the work that’s already compounding.

Browse the standalone solutionsSix layers. Six entry points. Add layers when the signal calls for it.

Live accounts. Open readings.

01 · THROUGHPUT

Ship and read more variants in a week than a roster runs in a quarter.

02 · COMPOUNDING

Every cycle inherits the last one’s signal. The account you sign is not the account at day 90.

03 · AUDITABLE

Third-party instrumentation, third-party math. The operator owns the read.

· THE 90-DAY BASELINE COMMITMENT · EVERY ACCOUNT WE RUN ·

Across the first 90 days of an engagement, over 75% of accounts beat the baseline they arrived with. Same loop, live in Medistat (Lead OS · operating record published) and Apollo Palm Hotel (Commerce OS · first-cycle close publishes next).

MedistatB2B healthcare · Lead OS · liveApollo Palm HotelBoutique hospitality · Commerce OS · live

The questions buyers ask before they engage.

What is Dynamic Ad?
Dynamic Ad is the AI marketing operating system that runs paid growth as one engineered loop. Six layers (Infra, Intelligence, Strategy, Ad Engineering, Optimization, Analytics) compound against one signal contract. The algorithm runs the cadence. The operator approves every release. Always on, algorithm-led, human-approved.
How is Dynamic Ad different from an AI marketing agency?
Dynamic Ad is software that runs the account, not a roster billing hours against it. Agencies sell headcount. We run six layers on one signal contract, with the algorithm setting the cadence and a human operator approving each release. Same predictive capacity every week, no scaling tax, no vendor handoffs.
How is this different from Smartly, AdCreative, or Madgicx?
Point tools optimize one layer. Dynamic Ad runs six. Smartly is creative production. AdCreative is asset generation. Madgicx is Meta bid automation. Each is one layer inside the operating system we run end-to-end, where every layer’s output feeds the next layer’s input, so the loop compounds instead of plateauing per tool.
Why six layers as one operation, instead of best-of-breed in each layer?
Because best-of-breed across vendors stops compounding the moment the data has to translate. The angle library does not know which placements carried qualified buyers. The bidding model does not know which creative converted lead to opportunity. The channel plan does not know what cohort decay said about retention. Dynamic Ad runs the same data across all six layers without translation. The compounding is what best-of-breed cannot match at the same cost.
Who runs the algorithm, and where do humans approve?
The algorithm runs targeting, creative permutations, bidding, and reallocation at platform cadence. The operator approves every brand-sensitive release: new angles, new offers, new audiences, new spend bands. Two layers in Dynamic Ad: AI executes; human operator approves. No release goes live without operator sign-off.
What outcomes can we expect, and on what timeline?
More than 75% of accounts beat their pre-Dynamic Ad baseline within 90 days, or we publish why and extend the engagement at no cost. The baseline is defined in week one against your historical performance (qualified opportunity for Lead OS, contribution margin and LTV/CAC for Commerce OS). Each cycle’s gain becomes the next cycle’s floor.
Which version do we run, Lead OS or Commerce OS?
Lead OS runs B2B revenue accounts where the KPI is qualified opportunity (services, SaaS, HR-tech, healthcare, considered purchase). Commerce OS runs DTC catalog accounts where the KPI is contribution margin and LTV/CAC (DTC, subscription, CPG, wellness). Both run the same six layers against one signal contract, tuned to different funnel physics.
What does Dynamic Ad need to take over, and how long does it take?
Dynamic Ad needs ad-platform access, conversion API access, CRM or commerce data access, and one signal contract approved by your team. Standing up the operation takes two to three weeks. Engineered first-party tracking goes in first (every downstream layer reads from it). Six layers run live by week four.
How does pricing work, and what happens if it does not perform?
Pricing is a fixed monthly operating fee, no media markup, no per-asset billing. If your account does not beat its pre-Dynamic Ad baseline within 90 days, we publish why and extend the engagement at no cost. Six layers, one fee. The economics of an operating system, not an agency retainer.

Few accounts.

Engagement letterDynamic Ad · Confidential
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A 30-minute call with one of the founders
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On your calendar

One read of the acquisition operation, written by hand. The highest-leverage gap named, the wedge or stack path scoped.

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AI marketing operating system · Lead OS + Commerce OS | Dynamic Ad