Marketing attribution models
Know which marketing euro really sells
We connect your media spend to actual revenue, so you set budgets based on data rather than each platform’s guesswork.
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Consulting
Marketing attribution that goes all the way to revenue
Google says Google drives sales. Meta says Meta does. And the sum of what each platform claims exceeds what you actually billed. The problem isn’t the platforms: each one measures from its own window. Marketing attribution models distribute the credit for each sale across the channels involved, using a common standard. At Trilogi we combine data-driven attribution, lightweight marketing mix modeling and revenue analytics connected to your CRM or ERP, so the conversation shifts from clicks and reported ROAS to revenue and margin.
- Consulting
- AI
- Marketing
- Design
- Technology
since 1999
The challenge
Measurement problems we solve
Overlapping platforms
Every channel claims the same sale and you don’t know how much each one really contributes.
Lost data
Ad blockers, cookie consent and restrictive browsers leave conversions untracked.
Marketing disconnected from sales
Leads and orders from the CRM or ERP never make it back to analytics, so you optimize for intermediate metrics.
Budget on autopilot
Channel allocation is based on history or habit, with no scenarios and no incremental return.
Stop measuring clicks and start measuring real business revenue
What we do
What we do in attribution and revenue analytics
Reliable measurement, understandable models and well-founded investment decisions.
Measurement audit
We review tagging, events, consent and data quality across analytics and platforms. We find what is measured wrong or not measured at all.
Server-side tracking and offline conversions
We implement server-side measurement and the platforms’ conversion APIs. We send each channel the sales closed in your CRM or physical store.
Data-driven attribution
We compare last-click, position-based and data-driven models on your data. We choose the one that best explains your business and document it.
Lightweight marketing mix modeling
We estimate each channel’s contribution, including those that don’t generate clicks, with affordable statistical models. Ideal for annual budget planning.
Revenue analytics
We bring spend, leads, opportunities, orders and margin together in a single view. You see cost per customer, lifetime value and return by channel and campaign.
Budget scenarios
We simulate what would happen if you shifted spend between channels. AI helps us spot patterns and diminishing returns.
How we work
How we approach your marketing attribution
Business questions
We define which decisions you want to make with your data and which metrics really matter.
Audit and cleanup
We fix measurement and make sure sales data flows back into analytics.
Modeling
We build and compare attribution models and, where relevant, a lightweight MMM.
Dashboard
We publish a revenue analytics dashboard your team understands and uses.
Decision and testing
We propose budget changes and validate them with incrementality tests.
What’s included
What the service includes
Who it’s for
Who this service is for
Multichannel advertisers
Companies investing across several platforms that need to compare their contribution on the same basis.
Businesses with offline or B2B sales
Companies whose sales close in the CRM, by phone or in store and never reach analytics.
Leaders who answer for results
Teams that must justify marketing spend to senior management or finance.
Keep exploring
Related services
Frequently asked questions
What we’re often asked.
What is a marketing attribution model?
It is the rule that decides how credit for a conversion is shared among the channels and touchpoints that led to it. Last-click gives all the credit to the final channel; other models split it by position or based on data. Choosing the right model changes which campaigns look profitable and, therefore, where you invest.
What is data-driven attribution?
It is a model that analyzes the journeys that end in a conversion and those that don’t, and assigns credit to each touchpoint according to its real influence. It needs a minimum volume of data and clean measurement. That’s why, before applying it, we audit and fix tracking so the model works on reliable information.
What is the difference between attribution and marketing mix modeling?
Attribution works with individual journeys and clicks, which makes it useful for optimizing day-to-day digital campaigns. Marketing mix modeling uses aggregated spend and sales data over time, and includes channels without clicks. They complement each other: attribution to optimize, MMM to plan the budget.
What is revenue analytics?
It is the analysis that connects all marketing and sales activity to actual revenue. Instead of stopping at impressions, clicks or leads, it follows the journey through to the order, the invoice and, where possible, the margin. It shows which channels and campaigns generate profitable customers, not just conversions.
How does cookie consent affect attribution?
When a user rejects cookies, part of their activity can’t be measured individually, which reduces the data available for attribution. We address this with proper consent management, server-side measurement, conversion modeling and aggregated approaches such as MMM, always in compliance with privacy regulations.
Next step
Our business is to grow yours
Tell us how you measure today and we’ll help you find out which part of your spend turns into sales.