Growth through economically sustainable and data-driven digital marketing

When someone buys a product or books a service, it’s extremely rare for them to have had just a single touchpoint with a brand. It might start with a video that pops up while they’re scrolling through their feed. Days later, they might do a Google search, followed by another interaction via a retargeting ad, and finally, they place an order. This sequence plays out in countless variations, across different devices, platforms, and time frames.

Multichannel advertising turns this reality into a strategy. Companies that coordinate their advertising channels guide potential buyers through the entire decision-making process, rather than focusing on a single moment. This article explains how such a strategy is structured, where the challenges lie, and what factors should guide a sensible choice of channels.

Every October, it’s the same story: Suddenly, everyone is searching for Christmas gifts, Black Friday deals, and Advent calendars. Companies that haven’t yet published relevant content, prepared campaigns, or set up seasonal landing pages by this point watch as their competitors rake in the visibility. Search engines can take anywhere from days to weeks to index content, and Meta and Google Ads also need time to learn. So if you start in November, there’s no guarantee you’ll be ranking and converting by December.

Seasonality in marketing means knowing these patterns, planning them out systematically, and leveraging them consistently before demand arises—not after it’s already there. This article highlights which occasions are relevant, how seasonality impacts various disciplines of digital marketing, and what a structured annual approach looks like in practice.

A medical practice treats dozens of satisfied patients every day. Wait times are kept to a minimum, the staff is friendly, medical care is provided efficiently, and the results speak for themselves. And yet, the practice’s Google Business Profile shows an average rating of 3.8 out of 5. The reason: the satisfied majority of patients remain silent, but the one person who waited 40 minutes does not.

Review management for healthcare facilities operates under different rules than in other industries. The special protection of personal health data severely limits what can be responded to, and legal frameworks dictate how proactively reviews can be solicited. And since May 2026, Google has even been publicly displaying how often a facility has had reviews removed due to defamation. Those who know how to navigate the specific restrictions in the healthcare sector and learn to work with them rather than against them can still actively shape their facility’s review profile.

There are companies that have been producing high-quality content for years and achieving solid search engine rankings as a result. And yet, they simply don’t appear in the responses from ChatGPT, Perplexity, and other LLMs. Not because their content is poor, but because AI systems simply can’t make sense of it. Today, anyone who writes for humans must also ensure that machines understand who or what is behind that content. This is exactly where grounding pages come in.

Fifteen years of clinical experience. A medical specialty certification earned after a long training process. Daily interactions with numerous patients, regular continuing education, and perhaps even publications in professional journals. To everyone in the practice, this doctor’s expertise is obvious. But for search engines and AI tools, it simply doesn’t exist if it isn’t documented digitally anywhere.

This is precisely the core problem for many medical institutions in the digital space. It is not a lack of expertise, but a lack of documentation of that expertise. E-E-A-T, Google’s evaluation framework for content quality assurance, offers a concrete way to change this. Those who understand the four pillars and strategically address them create digital visibility based on genuine substance—and thus ensure long-term success.

Max-Raphael Feibel met Daniel Kleiboldt during a discussion about the EU AI Act and immediately realized that he thinks differently from most people who write about compliance. No alarmism, no abstract references to legal provisions. Instead, concrete architectural decisions and a thesis that immediately piqued Max’s interest as a healthcare marketing specialist: that legally compliant AI systems not only prevent liability but actively strengthen patient trust. And in healthcare marketing, trust is the currency with the highest ROI.

Are your Meta campaigns not delivering the expected results? Costs are rising while conversions are falling, or your ads are suddenly barely being shown. Performance issues with Meta Ads usually have specific, fixable causes. The key is to take a structured approach and focus your optimization efforts on the right areas. In this article, we’ll show you the seven most common pitfalls and how to overcome them.

There are many certifications in the agency market. Some can be earned after completing an online course, while others can simply be purchased for a fee. Google Premium Partner status doesn’t work that way. It can neither be bought nor quickly attained, which makes it one of the most credible accolades a Google Ads agency can hold. That’s why we’re thrilled that Partner & Söhne achieved Partner & Söhne status in 2026. It confirms what we’ve understood for years as the foundation of our work: thinking sustainably, working for the long term, and delivering results that stand the test of time.

Brands are increasingly losing control over the context in which they appear. An elaborately designed website, well-thought-out navigation, consistent corporate identity. All of this loses visibility when content appears fragmented in AI responses, search results, or feeds. The brand framework that was supposed to classify statements is disappearing.

In AI-generated responses in particular, content is taken out of its original context and reassembled. Large language models (LLMs) summarize information from various sources and present individual statements without the surrounding website. But what remains when the brand framework is missing? The source. And sources with recognizable authors are currently considered more credible by these systems than abstract organizations.

An online store for sports shoes launches a new campaign. Flashy banners advertise a 20 percent discount, a countdown timer shows "Only 3 left in stock," and retargeting ads follow interested customers across all channels. Meanwhile, a dental practice is planning its marketing strategy for the coming season. No discounts possible, no dramatic scarcity messages allowed, every word legally reviewed. The difference could hardly be greater.

Anyone who works in healthcare marketing is familiar with this discrepancy from their daily business. The rules of the game are fundamentally different from those in classic e-commerce or B2B marketing. Strict legal requirements, increased data protection requirements, ethical boundaries, and a completely different trust dynamic shape every single decision. These special features make healthcare marketing one of the most demanding disciplines in digital marketing—and require specialized know-how that goes far beyond classic performance marketing.

People talk to AI systems differently than they search on Google. "Project management tool remote team" becomes "I'm looking for a solution for project management in a distributed team of ten people." This natural language fundamentally changes how content is found and, therefore, how you need to measure whether your content is even discoverable. Traditional keyword rankings are ineffective when the majority of people are no longer searching for keywords. So how can you track your brand's performance in AI tool search results? Prompt Monitoring provides the answer to this question. It systematically records when and how AI systems talk about your company, which sources they use, and how you are positioned compared to your competitors. In this article, you will learn how prompt monitoring works, why it differs fundamentally from classic keyword tracking, and what specific options for action it offers.

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.

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.

Imagine you spend $10,000 on advertising and your reporting shows 100 sales. Sounds good. But how many of those 100 purchases would have happened without your advertising? Because customers already knew your brand, wanted to buy anyway, or would have found you through other channels? Incremental attribution answers precisely this question. It separates genuine advertising impact from random hits. The result: you find out which campaigns actually generate additional sales and which are only credited with conversions that would have happened anyway. The topic sounds complex. However, the methodology behind it is simple: part of your target group does not see any advertising (control group), while the rest does. The difference in purchasing behavior shows the real contribution of advertising. Why is this important? Because classic attribution models systematically deliver overly optimistic figures. They measure correlations, not causes. This leads to misallocations in the budget. Money flows into campaigns that look good but have little effect.

Rankings are stable, visibility is on the rise, but traffic is plummeting. This seemingly contradictory situation is currently confusing many website operators. The cause lies in a fundamental change in the search landscape: AI-powered search engines are changing how users search for and consume information. This development requires a rethink of how success is measured in digital marketing. Traffic and click numbers are becoming less meaningful, while new metrics are coming to the fore. The question is no longer just "How many clicks are we generating?" but "How present is our brand in the answers users receive?"

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.

Two channels, double the effort? Not necessarily. Both traditional and AI search engines work with your content, but evaluate it according to different criteria in some cases. Some of your SEO measures will therefore automatically work for GEO as well, while others will need to be adapted and still others will be completely ineffective. Knowing these differences saves resources and increases your visibility across both channels. In this article, we'll show you which of your SEO basics continue to work for GEO and where you need to adjust your strategy.

Meta Ads campaigns now fail less often due to incorrect targeting than due to monotonous advertising media. Whereas advertisers used to spend hours fine-tuning the perfect target group definition, it is now the diversity of their creatives that determines success or failure. This shift is no coincidence: Meta's Andromeda system has fundamentally redefined the rules of the game. The system no longer personalizes advertising primarily via demographic characteristics, but via behaviour-based signals. Your creatives themselves become a targeting tool. Meta continuously learns which advertising material has the strongest effect on which person. The prerequisite: you provide the system with enough different options. In this article, you can find out how you can best use this for your campaigns and what points should be taken into account.

Loading times are like good background music in a restaurant: no one consciously notices them as long as they are right. But as soon as a website loads too slowly, visitors often become impatient, bounce and prefer to look for a new page. What many underestimate: These brief moments of impatience have measurable consequences. Every second of additional loading time costs not only visitors, but also Google rankings, conversion rates and cash for online stores. The good news? WordPress offers numerous levers that can be used to noticeably improve performance - often with surprisingly little effort. In this article, we will show you which measures have the greatest effect and how they can be implemented.

How much budget do you really need for successful Google Ads campaigns? This question is a daily concern for marketing managers. The good news is that there are proven calculation methods that help you to systematically calculate your budget instead of guessing a figure or "just starting with 1,000 euros". With the right formulas, you can plan your advertising budget on the basis of measurable business figures. This will help you avoid both underinvestment without meaningful results and budget waste without a clear profitability perspective. In this article, we present three fundamental calculation approaches and use specific examples to show you how to apply them to your company.