● What marketing looks like at most companies● How purchasing decisions are made● Why companies are shifting to an omnichannel approach● The architecture of omnichannel tracking in 2026● The role of content in shaping demand● Lead magnet: a tool for evaluating a marketing system● What building an omnichannel system looks like● Our experience working with multiple acquisition channels within a unified ecosystem● Conclusion● Check where your marketing system is losing customers
If you were to map out the channels in a typical business, they usually consist of several independent components.
Google Ads drives traffic to the website. The content team publishes articles or maintains a blog. SMM manages social media. Email is used for newsletters or promotions.
Each of these elements serves its own purpose. The problem is that there is almost no data exchange between them. A person might first see a brand in a search, come across an article a few days later, then subscribe to a newsletter, and only return to the website a week or two later to submit a request.
Modern analytics tools already use data-driven attribution. For example, this model is standard in Google Ads and GA4. However, in multichannel marketing, this is often insufficient. Platform-based systems see only part of the customer journey, so companies are increasingly using specialized attribution tools, such as Triple Whale or other CDP solutions. These allow for the consolidation of data from advertising, CRM, and e-commerce systems into a single model of customer interactions with the brand.
Without a complete picture of customer interactions, a company begins to draw the wrong conclusions about the effectiveness of its channels. This is precisely where the need for an omnichannel marketing system arises.
If you look at customer behavior in B2B or complex B2C products, a pattern becomes apparent. People rarely make a decision immediately after their first interaction with a brand.
Usually, a series of micro-interactions takes place. First, interest in the problem arises. Then comes the search for information. Next, the person begins to evaluate different approaches to solving it. Only after that is a shortlist of companies or products formed.
This process can take anywhere from a few days to several months.
That is precisely why marketing built solely around advertising campaigns is gradually reaching its limits of effectiveness. Advertising works well at the moment when a person is already looking for a solution. It has a much weaker impact on the early stages of demand formation.
This is where the role of content, expertise, and repeated interactions with the brand begins to emerge.
At some point, companies begin to notice that certain transactions cannot be explained by the logic of individual channels.
One customer might say they read the company’s articles a few months ago. Another recalls a webinar or podcast. A third first heard about the product through a recommendation on LinkedIn.
When stories like these start to repeat themselves, it becomes clear: demand isn’t driven by a single channel, but by an entire ecosystem of interactions.
This ecosystem is what’s known as omnichannel marketing.
The idea is that every interaction with the brand—whether it’s an ad, content, email, webinar, or case study—becomes part of a unified environment. Data from these interactions is aggregated, and marketing begins to work with the full customer journey.
When a company sees the full picture, it becomes much easier to make strategic decisions regarding marketing investments.
Modern marketing systems rarely rely on just one analytics tool. They typically consist of several levels.
Let’s take a closer look at these levels.
Data passes through five sequential levels. First, at the Data Collection level, user events—website visits, ad clicks, form submissions, and product interactions—are collected via GA4, pixel tracking, and product analytics.
Next, these events go to Server-side Tracking, where they are processed on the server side, which reduces losses from browser privacy, improves accuracy, and allows data to be synchronized across platforms.
The third level—the Analytics Platform—is responsible for behavioral analysis: funnels, segmentation, BI dashboards, with GA4 as the primary tool.
At the fourth level, the Attribution Layer builds a model of channel impact through data-driven and multi-touch attribution; platforms like Triple Whale operate here.
CRM & Revenue Analytics links marketing data to actual sales and answers the key question: how much is a customer worth, and which channel delivers the most value.
In robust omnichannel systems, content takes center stage. The reason is simple: it works at stages where advertising has almost no impact.
When a person first begins to explore a problem, they look for explanations, other companies’ experiences, and examples of solutions. At this point, helpful content builds trust in the brand even before direct interest in the product arises.
That is why companies that actively work with content often observe an interesting pattern in their data. A significant portion of customers come via brand searches or direct visits, but their interaction history includes articles, case studies, or webinars.
A McKinsey study shows that customers typically engage with multiple channels before making a decision.
Lead magnet: a tool for evaluating a marketing system
For companies looking to understand the current state of their marketing system, an audit can be a useful first step.
We’ve prepared a 25-question checklist to help you assess:
● channel structure
● quality of analytics
● attribution capabilities
● content coverage of the customer journey
What the development of an omnichannel system looks like
In practical projects, the work usually begins with a detailed analysis of marketing data. The team examines traffic sources, customer journeys, conversion drop-off points, and channel economics.
When marketing consists of isolated tools, its results are almost always inconsistent. The channels work, but they don’t create a predictable growth system.
An omnichannel approach shifts the focus of marketing. The center is no longer the channel or the campaign, but the customer journey.
When data, content, and channels begin to function as a single ecosystem, the company gains significantly more control over how demand is generated and how it translates into sales.
It is at this point that marketing ceases to be a cost center and begins to fulfill its primary function—creating a predictable flow of customers.
Most companies lose 30–60% of potential leads due to:
● incorrect channel attribution
● gaps between marketing and CRM
● lack of content at key stages of the customer journey
incorrect tracking
The Osadchiy Team conducts a free audit of your marketing system to identify these loss points.
During the audit, we:
● analyze traffic sources and acquisition channels
● check tracking and attribution
● map the customer journey
● identify exactly where leads are being lost
As a result, you’ll receive:
1. A map of your marketing system
2. 3–5 growth opportunities that can be implemented immediately
3. An estimate of potential lead growth