What does DISTRIKT actually do?
We run paid media and build the intelligence layer underneath it. Most companies have data, tools, and dashboards that don't talk to each other, so decisions get made on stale numbers or gut feel. DISTRIKT unifies your data into DISTRIKT AI, our decision engine, then a senior team acts on what it surfaces: bids, budgets, creative, forecasts. One flat fee. Zero markup on media. You always know what changed, when, and why.
How is DISTRIKT different from a typical paid media agency?
Most agencies earn more the more you spend. That's not an accident, it's the business model: a management fee on top, a markup inside your media cost, and no incentive to ever tell you to spend less. It's called arbitrage, and it's rarely disclosed. DISTRIKT takes no cut of media. One flat fee, scoped to your account, whether your budget goes up or down. We have nothing to lose when the data points away from spending more, so we're the only ones in the room with no reason to hide it from you.
How does pricing work?
One flat monthly fee. No management fee. No markup on media. No percentage of spend. 100% of your ad spend buys ads. Our fee is separate and visible on its own line. We scope pricing to your account size, not by the hour or by project, and it stays flat for the term regardless of how your spend moves month to month. No setup costs. Simple 3-month minimum. If you're spending real money on ads and still guessing what's working, this pays for itself fast.
What is DISTRIKT AI? How do we get access to it?
DISTRIKT AI is our proprietary decision engine. It connects to your CRM, ad platforms, financial systems, and data warehouses, and unifies everything into one intelligence layer. It's what tells us what's working, what's drifting, and where the next dollar should go, in real time. You don't log into it. Whether your team acts on what it surfaces or our senior buyers run your media end to end, every change gets made deliberately and logged. You'll always know what changed, when, and why.
What do you mean by "AI Agent" workflows?
First, DISTRIKT AI learns what's happening in your account. The "AI Agent" layer acts on it by recommending bid adjustments, budget reallocation, flagging risk, building forecasts, etc. Always on, always built on your actual data, nothing generic, nothing templated. It's the same three-layer system running underneath every account: Foundation, Intelligence, Activation.
Will this replace our team?
No. It removes the work your team shouldn't be doing. This includes pulling reports, reconciling conflicting numbers, guessing which lever to pull. That work goes away. Your team's judgment doesn't.
How does DISTRIKT integrate with our existing systems?
We don't replace your stack, we connect to it. CRM, ad platforms, analytics, financial systems, whatever you're running. DISTRIKT AI unifies those inputs into one intelligence layer. No rip-and-replace. Mapping your environment is day one of every engagement, and messy data doesn't slow that down, it's usually the reason you needed us in the first place.
Are we locked into specific AI models or vendors?
No. The infrastructure is model-agnostic by design. Most companies build directly on top of tools that will be outdated in 6–12 months. We separate your system from the model layer, so you can upgrade models without rebuilding and keep ownership of your data the whole way through. You're not betting on a tool. You're building a foundation.
What kind of companies do you partner with?
Companies with real ad spend and real complexity. Customer acquisition running across multiple channels, data sources that don't reconcile cleanly, and leadership that knows something's off but can't see exactly where. If your growth feels harder than it should, that's usually the reason.
How long does it take to see results?
It depends on the account, but the pattern holds. Our home warranty client saw 120% sales growth and $500K+ in new monthly revenue within 60 days. A nutraceutical client saw 340% return on Q1 ad spend and cut reporting time 92% within 90 days. Reporting time usually drops first. Revenue impact follows once budget's been reallocated to what's actually working.
What’s the biggest mistake companies make with AI?
Stacking tools without fixing the system underneath. More dashboards don't solve conflicting data, slow decisions, or misallocated budget. AI doesn't create an advantage by itself. The system it's built on does.
What happens if we do nothing?
The gap widens. Companies running on old data and fragmented systems move slower, misallocate budget, and lose ground to competitors making faster, better-informed decisions. At this point it's not a tooling problem. It's an operating model problem.
How do we get started?
Get a free Media Audit. Show us what you spend and where, and we'll show you what's working, what's bleeding, and what we'd scale first, live on the call. No obligation. Worst case, you walk away knowing exactly what your media should cost.
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