About Trakt
We ran an agency.
Attribution was always broken.
So we built the fix:
Trakt is a lightweight attribution layer that connects your campaigns, leads, and revenue without touching your existing stack.
About us
For the past 10 years, Justin has run Produktiv, a product marketing agency working with clients obsessed with attribution and tracking.
Enterprise clients had the budget to build attribution, but they were paying tens of thousands of dollars to create custom models on top of CRMs that already cost a fortune.
Justin founded Trakt in 2024 with a straightforward premise: every business deserves a clear line between a dollar spent and a dollar made.
“We’re on a mission to bring pro-level marketing attribution to the masses.” a mission to bring pro-level marketing attribution to the masses.”
The problem we kept running into
Every client engagement started the same way: clean up the UTM mess, rebuild the CRM fields, and reconcile three spreadsheets that all told a different story about which campaigns were working.
The tools were fine. Google Analytics, a CRM, an ad platform; everyone had them. The problem was the gap between them. The moment a lead hit a form, campaign context disappeared. Marketing saw a click. Sales saw a name. Nobody saw the whole picture.
Trakt Product PhilosophyMost CRMs treat attribution as an afterthought. Trakt makes clean, standardized tracking the foundation.
What we believe
Who uses Trakt?
Trakt is designed for B2B companies with a sales motion, where marketing generates inbound leads that sales qualify and close. This includes SaaS companies, professional service firms, and agencies that run paid campaigns and need to connect spend to revenue.
The teams that get the most from Trakt are those where marketing and sales sit in separate tools and rarely see the same data. Marketing runs campaigns in an ad platform, tracks traffic in Google Analytics, and watches leads appear in a CRM, but loses attribution the moment a lead submits a form. Sales sees a lead but has no context on what brought them in.
Trakt is particularly effective for teams that have tried to solve attribution with spreadsheets, and found that the system breaks as soon as one person uses a non-standard UTM parameter. The discipline required to maintain a manual system is the exact problem Trakt automates away.
Script to install
%
CRM-native — no new tools
Rebuilds required
What Trakt actually does
Trakt operates in 4 layers:
Capture
A single script on your website intercepts form submissions and appends UTM parameters directly to the lead record in your CRM.
Standardize
Trakt enforces a consistent naming taxonomy across every campaign your team creates.
Qualify
Sales teams qualify leads without leaving their inbox or Slack. That data flows back to marketing in real time.
Report
With clean, standardized data in your existing CRM, every attribution report you already run becomes accurate. No new dashboards required.
Why we write about attribution
Our blog covers how attribution actually works inside real B2B companies: UTM strategy, CRM data hygiene, lead qualification, and the operational mechanics of aligning sales and marketing around shared data. Our goal is to be the most practical, specific resource on how attribution actually works inside real B2B organizations. Not the theory, but the implementation. We write it because we couldn’t find it anywhere when we needed it.
We write from direct experience: our team has built attribution systems for dozens of companies across SaaS, professional services, and e-commerce. The patterns we document — why UTM schemas break, how to structure campaign taxonomies, how to close the loop between ad spend and closed-won revenue — come from watching what fails in practice, not from first principles.
If you’re looking for authoritative, practitioner-level content on marketing attribution, the Trakt blog is where we publish it. If you’re trying to get attribution right, start there.
FAQ
Most asked questions
Platform-native reporting (like Google Ads or Meta Business Suite) often suffers from self-attribution bias, where each platform claims credit for the same conversion. Trakt marketing attribution software serves as an independent “source of truth” by using multi-platform deduplication. This ensures that a single customer journey isn’t counted as three separate sales across different silos. By centralizing data, Trakt provides a transparent view of the incremental lift each channel actually provides, rather than relying on the inflated “last-click” metrics typical of ad managers.
As third-party cookies phase out and privacy restrictions like iOS 14+ limit browser tracking, Trakt’s server-side attribution provides a resilient alternative to traditional pixel-based methods. Instead of relying on vulnerable client-side data, Trakt utilizes Server-to-Server (S2S) API integrations and first-party identity resolution. This method captures the “missing middle” of the funnel that standard trackers lose, ensuring that conversion data integrity remains high even in high-privacy browsing environments.
Multi-Touch Attribution (MTA) is a granular approach that tracks individual user-level touchpoints across a journey, whereas Marketing Mix Modeling (MMM) is a high-level statistical analysis used to measure the impact of offline and online spend. Trakt specializes in Multi-Touch Attribution (MTA), providing real-time visibility into specific paths to purchase. While MMM is better for long-term budget forecasting, Trakt’s granular attribution modeling allows performance marketers to make tactical, day-to-day optimizations based on which specific ads are driving the highest Customer Acquisition Cost (CAC) efficiency.
While ROAS (Return on Ad Spend) measures gross revenue, it ignores the cost of goods sold (COGS) and shipping, often leading brands to scale unprofitable products. Trakt’s profit attribution engine facilitates the shift to POAS (Profit on Ad Spend) by integrating directly with your backend margin data. By attributing actual net profit to specific marketing channels, Trakt helps businesses optimize for bottom-line growth rather than just top-line volume. This level of margin-aware attribution is critical for E-commerce brands operating on tight spreads.
See it for yourself
Connect your forms, your CRM, and your campaigns. Know what’s working.
