B2B Growth Marketing and Performance Consulting
How much of your media investment actually turned into revenue?
For companies that need verifiable data.
The problem isn't the budget. It's the decision architecture.
When you can't separate the incremental return of each channel, you aren't optimizing—you are allocating resources based on data generated by the platforms themselves. This is a structural conflict of interest. The cycle that sets in:
- 01Platforms report high ROAS → you increase investment
- 02Cash revenue doesn't grow proportionally → the board questions marketing
- 03You cut channels that seem less efficient—but were actually sustaining the funnel
- 04Performance collapses, and the wrong diagnosis is repeated
The root isn't poor execution. It's that no platform has an incentive to tell you your return is inflated. Google Ads won't report that you could spend 30% less and get the same result.
Our Architecture: Measure → Capture → Expand
Order matters. You don't optimize what you don't measure correctly.
Measurement & Attribution
No media allocation decision is reliable while data comes from the same platforms that have an interest in reporting high ROAS. We build an independent attribution model—based on Media Mix Modeling with Google Meridian—that measures true incremental return without relying on pixels, cookies, or platform-declared data.
The result: allocation decisions based on auditable, actionable data disconnected from the interests of media buying platforms.
- Media Mix Modeling with Google Meridian
- Tracking Architecture (CAPI, GTM Server-Side, GA4)
Capture & Performance
With calibrated attribution, optimization stops chasing reported metrics and starts being driven by verified incrementality. Campaign structures, creatives, and landing pages are designed to scale acquisition without scaling CPA.
- Paid Media Engineering (Search, Social, Programmatic)
- Performance Creative & CRO
Demand & LTV Expand
Efficient acquisition is a necessary condition, not a sufficient one. The organic content ecosystem and retention flows exist so that every acquired client generates more margin over time—not just more volume at the top of the funnel.
- Organic Content Ecosystems with Purchase Intent
- Revenue Expansion (Upsell, Retention, Lifecycle)
How we work: diagnosis before execution
We don't start with campaigns. We start with the data that sustains the decisions.
Attribution Audit
Before any recommendation, you need to know where your data is wrong. We map the entire stack—platforms, pixels, CAPI, CRM, revenue—and identify the distortions guiding budget decisions. You leave this phase knowing what you didn't know: how much of your reported ROAS is real and how much is platform-inflated attribution.
Model & Architecture
With distortion data mapped, we build the MMM model with your history (minimum 52 weeks) and redesign the campaign architecture. For the first time, you have a view of the incremental return of each channel with confidence intervals—not exact numbers that lie. You can make reallocation decisions with verifiable foundations, not intuition or platform reports.
Optimization by Incrementality
With an established baseline, every iteration has traceable cause and effect. What changes for your business: you start reporting to the board in business language—attributed revenue, cost per profitable client, projected LTV—instead of defending metrics nobody outside of marketing can interpret.
Many agencies carry a conflict of interest intrinsic to the model: the fee grows with the budget, making the recommendation to spend less structurally incompatible with their business.
Large consultancies and holdings resolve this conflict on paper, but create another: you hire a capability and pay for a structure. The fee covers account layers, specialists shared across multiple clients, and overhead that has no direct relation to your project's outcome.
Pragoria operates with a fixed fee. The fee only grows when additional investment translates into real, verifiable growth.
When the budget grows without incremental results, the client's return is diluted—and increasing our fee in that condition is exactly what we do not do.
This alignment only works for a specific company profile. If it's yours, the conversation is worth the time.
This model was built for a specific company profile.
Makes Sense
For those investing $10k+ per month in paid media, who have at least 12 months of historical data, and already understand that the problem isn't campaign execution—it's the quality of the decisions the execution is serving.
Doesn't Make Sense
For those in the product-market fit phase, seeking agency-cost execution, or needing results in 30 days. Not because these goals are less legitimate—but because the model we deliver requires a baseline that takes time to build and an interlocutor who understands what they are buying.
The first conversation is a diagnosis, not a pitch.
We review your current attribution model and tell you if there is a real opportunity before any proposal. If there's no fit, we'll tell you that too.
Schedule Diagnosis