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Christopher Smid-Sawall

Performance Marketing & Data Analysis Specialist
Christopher Smid-Sawall combines data-driven performance marketing with the development of strategic AI systems for marketing teams. His focus: precise conversion tracking, robust attribution logic, and AI workflows that support an entire team, not just one person. Particularly in the B2B and lead generation sectors, he ensures that budgets are allocated where they produce measurable results and that AI doesn’t remain an experiment but functions as a system.
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Christopher Smid-Sawall's Areas of Expertise

At the intersection of performance marketing, AI systems, and data-driven decision-making.

Performance Marketing with Substance

Campaigns derive their value not from clicks, but from qualified leads and revenue. Christopher develops performance strategies that are consistently focused on business results, with a clear hierarchy of goals, well-structured accounts, and an optimization approach that doesn’t blindly follow every platform algorithm but instead deliberately targets what actually drives results.

AI Systems for Marketing Teams

Many teams use AI, but hardly anyone uses the same system. Christopher builds AI frameworks that support an entire team: tailored to CI, strategy, and real-world use cases, and fully documented and transferable. The focus is on Claude-based workflows that don’t disappear with the next employee’s departure, but instead become genuine internal knowledge. The goal isn’t just another workshop, but a system that the team can manage on its own.

Tracking, Attribution, and KPI Systems

Reliable data is the foundation for any optimization decision. Christopher designs tracking setups that go beyond traditional front-end tracking: server-side implementations, offline conversion tracking for B2B pipelines, and KPI systems that differentiate between lead volume, lead quality, and actual revenue contribution, so that sales and marketing can work from a shared, robust data foundation.

About Christopher Smid-Sawall

Performance Marketing, Google Ads, Conversion Tracking, GA4, Attribution Models, AI Systems for Marketing Teams, Claude Workflows, and Data-Driven Campaign Management
Effective performance work doesn't start with the campaign, but with the question of whether what we're measuring is actually the right thing.
Christopher Smid-Sawall

3 Questions for Christopher Smid-Sawall

Tracking is often viewed as a purely technical issue. Why is it, in reality, a strategic decision?

Tracking determines the reality a company perceives through its marketing. Those who measure only website conversions often overlook the very inquiries that come in by phone, occur across multiple sessions, or don’t appear in the CRM until weeks later—and thus evaluate campaigns based on incomplete data. The crucial question, therefore, is not “How can we track as much as possible?” but rather “Which signals actually reflect our business?” Only once that has been clarified does it make sense to discuss server-side tracking, offline conversion transfers, or differentiated GA4 events.

There are many attribution models, and none of them perfectly reflects reality. How can a company deal with this in a pragmatic way?

The first step is to let go of the idea that there is a “correct” model. Each one is a simplification, and which one makes sense depends on the business model. A pragmatic approach is to view attribution not as a one-time decision, but as a tool for hypothesis-building. Different models offer different perspectives: A last-click model reveals what drives conversion at the end of the journey; a data-driven model shows how channels interact; and an incremental analysis answers the question of what would have happened at all without that channel. Those who compare these perspectives side by side make significantly better budget decisions than those who rely on a single number.

AI in marketing is everywhere, and yet it rarely works effectively in most teams. Why is that?

Because most teams treat AI as a tool-based problem rather than a systemic one. One person is testing ChatGPT, another is using Midjourney, and a third has Claude in their browser. That’s not a system—it’s AI fragmentation. Knowledge is locked into individual prompts and isn’t transferable. Output that isn’t documented isn’t used. And if someone leaves, that AI knowledge is lost.

What actually works: Don’t introduce AI as a standalone tool; instead, build it as a shared infrastructure. A common language, documented workflows, and systems that support the entire team—not just one person. That sounds like a lot of work, and it is at first. But it’s the only approach that will pay off in the long run, because the knowledge then stays within the company—not just in a browser tab.

Magazine articles by Christopher Smid-Sawall

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Which KPIs are truly relevant in B2B lead generation?

You invest your budget in ads, build content, and generate hundreds of leads per month. The conversion rate is steadily increasing. Your marketing dashboard looks good. Nevertheless, sales remain below expectations. The problem is not a lack of marketing activity, but rather incorrect success indicators. Many B2B companies focus on metrics that look impressive but say little about actual business success. The key KPIs are not at the beginning of the funnel, but where leads actually turn into paying customers. This article shows you which metrics really matter and how you can use them for strategic decisions.

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Attribution models: How to evaluate the actual value of your marketing channels

You invest in Google Ads, run meta campaigns, and engage in content marketing. The conversion happens—but which channel actually influenced the purchase decision? Attribution models promise clarity by assigning conversions to different touchpoints. But the reality is more complex: modern customer journeys span multiple devices, channels, and weeks—while classic attribution captures only a fraction of this journey. This article shows how different attribution models work, where their limitations lie, and which model is suitable for which use case.

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GA4 Standard Events for Lead Generation: Complete Transparency Across the Entire Funnel

Do you really know which of your marketing campaigns are actually generating value? Or do you rely on lead numbers that may sound impressive but often don't allow you to draw conclusions about real business results? This is precisely where the fundamental problem with traditional tracking methods lies: they end with the form submission and provide no insight into what happens next. GA4 Standard Events for lead generation provide complete visibility across the entire lead funnel—from initial contact to contract signing. Instead of making decisions based on incomplete data, you get the foundation for value-based marketing decisions. In this article, you'll learn how to leverage this transparency for your business goals.

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Offline conversion tracking: How to successfully master lead generation online

Which of your online measures actually lead to high-quality leads that later become customers? The answer lies in offline conversion tracking - a method that closes the gap between your digital lead generation and actual sales.

I look forward to hearing from you

Book a free initial consultation with Christopher Smid-Sawall now, or contact us by email, phone, or LinkedIn.

hello@partnerundsoehne.de
+49 621 533 999 82
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Meet our team

Discover more expert articles on SEO, performance marketing, content, e-commerce, and digital transformation.

Lennart Kappes

Automation & Development Manager
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Johanna Luding

Advertising & Content Manager
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Max-Raphael Feibel

Strategy & Performance Marketing Specialist
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Katrin Kratz

Strategy & SEO/GEO Specialist
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Maximilian Hohenstatt

Strategy Specialist
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