Case Study: Solving Attribution in a Privacy-First Era with UTM Precision, CRM Integration, and Automated Reporting
First-Party Data as a Competitive Advantage
Discover how our client rebuilt its marketing foundation with first-party data, end-to-end UTM attribution, and automated reporting across SAP.
Reclaiming Clarity: First-Party Data That Turned 0% Tracking Into +70% Attribution
The decline of third-party cookies has left many marketing, sales, and leadership teams operating with limited visibility into lead attribution and the true impact of their channels on performance, spend, and revenue. To address this challenge, we guided a client through the full data maturity matrix, leveraging their existing systems and tracking infrastructure. By implementing a robust UTM framework and converting it into high-quality first-party data, we enabled end-to-end mapping of user behavior and value—from initial website interaction all the way into the CRM. The outcome: UTM capture rates increasing from 0% to +70%, a 43-point improvement in the Lead-to-MQL ratio, and fully automated daily reporting accessible to every stakeholder.
About the Client
Our client operates in the Healthcare sector, with a primary objective of leveraging PPC campaigns to generate high-quality leads from both doctors and medical clinics.
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Third-party cookies, once essential for tracking, targeting, and attribution, are being phased out.
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Privacy regulations like GDPR and CCPA limit how personal and behavioral data can be collected and used.
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Browsers such as Safari and Firefox block third-party cookies by default through ITP and ETP.
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Consent-based tracking reduces the amount of data available for ad optimization and attribution.
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Feeding reliable data into advertising platforms is becoming increasingly difficult.
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Users increasingly prefer brands that prioritize transparency, privacy, and control over their data.
The phase-out of third-party cookies is fundamentally changing how marketers track, target, and measure performance. Once the backbone of digital advertising, these cookies are disappearing due to growing privacy demands and technical restrictions, making attribution and optimization increasingly difficult.
Key drivers of this shift include:
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Privacy regulations such as GDPR and CCPA, which limit how personal and behavioral data can be collected and used.
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Browser restrictions, with Safari and Firefox blocking third-party cookies by default via ITP and ETP.
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Rising user expectations for transparency, privacy, and control over their data.
As a result, businesses must rethink their data strategies and move toward privacy-first, first-party solutions.
Focus on privacy: Shifts in data collection that impact the business
Project Prerequisites
The Challenge: How to build a strategy while going blind
With third-party cookies fading, walled gardens’ closed measurement tools create dependency—and often overstate their own impact.
Loss of Granular Visibility:
Harder to understand cross-channel user journeys, weakening attribution and optimization.
Fragmented Data Ecosystem:
Data sits in disconnected tools, making a unified customer view difficult to reconstruct.
Over-Reliance on Platforms:
Walled gardens provide closed measurement, limiting transparency and inflating perceived performance.
Compliance & Trust Pressure: Privacy rules require careful, transparent data practices to maintain user confidence.
Strategic Uncertainty:
Planning and budgeting become harder as familiar tracking signals disappear.
Ultimately, this creates several key challenges for the business. Blind spots in lead attribution make it impossible to see where leads originate, turning ROI tracking into guesswork. Marketing and sales teams lose alignment, as sales lacks context on which campaigns drive meaningful leads and revenue.
At the same time, PPC budgets become vulnerable to waste because campaign decisions are based on incomplete data. Without CRM-level UTM insights, teams are forced to optimize with only part of the picture, leading to inefficient spend and missed opportunities.
Working with SAP
Platforms such as HubSpot and Salesforce offer straightforward native integrations with ad platforms and tracking pixels. With SAP, the same outcome is possible, but it requires more tailored solutions. For this use case, we worked with SAP and leveraged automation tools such as Make to send and map all relevant data directly into the SAP Marketing Cloud.
Even when working with different website content management systems—such as NEOS and Webflow—we were able to establish consistent connections by applying the same logic to different technical setups of forms. Once the data was flowing into SAP Marketing Cloud, we could link leads and by handing information to SAP Sales cloud also deals to original traffic source while ensuring that critical tracking information (captured via Google Tag Manager, such as source, medium, and campaign) persisted at the deal level.
This setup allowed us to finally connect the dots between contacts’ website touchpoints and deals, making it possible to report on key performance metrics such as cost per MQL or cost per contract directly within SAP on a channel level. By automatically linking campaign data with deal revenue, we can now calculate ROI with far greater accuracy and less guesswork. Additionally we also have full transparency of the tracking gap.
With UTM data consolidated in the CRM, the opportunities expand significantly. You gain the ability to run true multi-channel analyses and build strategies based on accurate, trustworthy data that you fully control. Most importantly, this approach proves that it is possible to respect user preferences while still preserving the level of insight needed to drive business growth.
Our Approach: The Strategic Value of First-Party Data
At Kemb, we view the decline of third-party cookies not as a loss but as a turning point for digital marketing. It’s an opportunity for companies to differentiate through transparent data practices, build stronger direct relationships with users, and shift from tracking everything to a privacy-first, trust-based approach. While it may mean less data, it doesn’t mean fewer insights—provided the data that is collected is structured well, integrated into the CRM, and supports a full view from first touch to closed deal.
A key part of this shift is distinguishing between personal and non-personal data. Even without relying on walled gardens’ black-box identifiers, businesses still have enough first-party information to understand user origins while remaining compliant with consent rules.
This is where UTMs become essential—serving as the bridge between anonymous website visits and identified leads within the CRM.
Options for capturing UTMs on Landing Pages
Query parameter parsing via GTM or JavaScript:
You fully control how UTM data is collected and processed, and when UTMs are missing, you can use referrers to populate source and medium in all forms.
Storing UTMs in cookies/local storage/session:
Storing data in your own cookies ensures no outside entity can access it, and you control exactly when and how it’s used.
The key difference is that when UTMs are missing, we apply our own logic to fill the gaps and identify source and medium. This allows us to capture not only paid traffic but also organic channels and pass that information into the CRM.
Passing UTMs through forms
Hidden fields in forms auto-populated with stored UTM values:
- You can use the store cookies to fill hidden form fields that are sent into your CRM with the form submission
Dynamic insertion for multi-step forms or chatbots:
- The routines are automatic and adjust to your forms structure without the need for human intervention
CRM Integration
Mapping hidden form fields to CRM lead fields.
- Ensuring the CRM can receive this data allows seamless handover to teams like sales and provides a clear view of which channels users come from.
Handling overwriting rules (first-touch vs. last-touch UTMs)
- Depending on the CRM, you can overwrite UTM data with each form submission, track first vs. last touch, or—with a more advanced setup—record all touchpoints where consent allows.
Visual Insights
The Result: From Incomplete Tracking Into Complete Attribution
Through this process, we worked with our client in moving across the full data maturity matrix. Beyond establishing strong data collection and system integrations, we focused on team enablement and making data accessible across the organization. This empowered the business to use data not only for analytical purposes but also for activation—fueling better performance, smarter decision-making, and the development of new strategies.
As a result, several KPIs improved. The enhanced infrastructure alone allowed us to identify more leads and accurately trace where they were coming from.
At the start of the project, there was no transparency or understanding of how each traffic channel contributed to lead generation.
At the end of 2025, we consistently achieved +70% visibility across all leads generated.
With this improved visibility, we can now clearly identify which channels perform best, where to allocate efforts for greater impact, and which weak points require correction.
We built a data flow that maps the full lead journey and feeds insights back into each channel.
This feedback loop highlights what works, what doesn’t, and improves performance as more data is collected.
Higher UTM capture and better Lead-to-MQL rates reduced unassigned revenue and clarified each channel’s true value.
Improved attribution increased ROI by enabling smarter PPC reallocations and reducing wasted spend.
We began with no transparency into the data.
We then moved to having data available, but only through high-effort, manually created reports.
After improving our processes, reporting became more frequent and far less time-consuming.
Today, all stakeholders have daily access to key information, without teams needing to spend time collecting, cleaning, or visualizing their most important KPIs, all within SAP.
Conclusion & Next Steps
Our client’s transformation shows what becomes possible when a company takes control of its own data. By moving from zero visibility to a fully connected, privacy-first tracking ecosystem, they unlocked the clarity, efficiency, and strategic advantage that modern marketing demands. With UTM capture rates rising from 0% to +70%, a 43-point jump in Lead-to-MQL ratio, and daily automated reporting available to every stakeholder, first-party data has become a true growth engine.
The lesson is clear:
In a world without third-party cookies, the companies that invest in first-party data will be the ones that win.
If your organization is still struggling with incomplete attribution, unclear lead sources, manual reporting, or disconnected systems, this is the moment to act. You don’t need more data—you need the right data, structured in a way that gives you full control, complete visibility, and the ability to activate insights across every channel.
Start building your competitive advantage today.
Invest in your first-party data, create transparency, and transform your marketing into a system that learns, scales, and delivers results—just like our client did.