Building a Marketing Dashboard That Actually Reflects Human Behavior

Your Dashboard Tracks Activity, But Does It Understand Buyers?

Marketing departments today have never had more access to information. The dashboards can show you all kinds of performance statistics in real-time – from website visits to leads and conversions, from campaign performance to cost-per-acquisition, and even beyond. Such reports are extremely valuable to measure the level of marketing activities, but still, there is one more crucial question to be answered. What is it that has made your buyers choose your company?

It is not always possible to find an answer to this question within a dashboard. Current B2B buyer research shows that buyers explore solutions by listening to podcasts, reading executive thought leadership blogs, taking part in private communities, receiving peer recommendations and customer referrals, as well as conducting internal conversations long before sending out a request for a demo.

Thus, companies today need a marketing dashboard that is true to buyer behavior. Rather than just counting clicks and conversions, modern dashboards must merge both qualitative and quantitative buyer insights.

Why Traditional Marketing Dashboards Miss Real Buyer Behavior

Marketing dashboards are developed to show digital interactions. Website visits, sources of traffic, emails, ads, forms filled out by the visitors, conversion rates – all this data shows useful information about the success of marketing campaigns and provides insights on business development.

At the same time, traditional marketing dashboards fail to capture all the conversations that happen outside of those digital worlds. They don't allow you to see the conversation that happened before a buyer landed on the website.

For instance, an executive might hear about your company in a podcast, get a recommendation from a known person, or discuss your product in a private Slack chat. None of these conversations is expected to appear in any attribution report.

Therefore, marketing dashboards typically show marketers where the buyer converted, rather than the reasons why they converted.

The Problem With Measuring Only Clicks and Conversions

Marketing teams tend to optimize performance according to the data found in their dashboards. The channels that yield clicks, conversions, and form submissions get the most budget because of the results that they deliver.

While this approach makes sense from an analytical standpoint, it often favors demand capture but neglects demand creation.

For example, think about the buyer who got to know about your business thanks to a podcast. They will spend some months following your leadership on LinkedIn, consuming your educational content, discussing your product or service with their peers, and searching for your website until they request a demo.

A classic dashboard will give credit to Organic Search since that is the last interaction that was recorded. The podcast, the LinkedIn content, and the conversations with peers will be overlooked even though they played a crucial part in demand creation.

The Role of Human Behavior in Modern B2B Buying

When a business buyer makes a purchasing decision, it is never due to one action. Rather, the process goes through several phases: learning, evaluating, validating, and gaining confidence.

This starts with listening to podcasts, reading articles written by experts in the industry, participating in webinars, and interacting with other people in relevant professional communities. Later, during their research, buyers compare various vendors, study customer stories, and talk to colleagues and other people who become stakeholders in their decision-making process.

Such actions are prompted by trust, expertise, recommendation, and relations rather than any ad or website visit.

The dashboard that solely considers online transactions will not be able to provide such data. Organizations need to realize that human behavior is non-linear. Every buying journey goes through multiple points of contact, and many of them happen off the grid.

The modern marketing dashboard has to capture not just actions but also the human experience behind purchasing decisions.

Building the Human-Centered Marketing Dashboard

There are three different elements in building a marketing dashboard that will reflect human behavior. Firstly, we have to combine a variety of inputs, instead of sticking to marketing analytics alone. The first input is quantitative software data, such as website traffic, campaigns, conversions, pipeline creation, and revenue data.

The second input is Self-Reported Attribution. Asking buyers about the way they heard about the product shows sources of demand that could be overlooked by analytics platforms. Buyers can point to podcasts, referrals, LinkedIn thought leadership, community events, or customer recommendations that affected their decision-making process long before they visited the website.

The third input is Sales Discovery Insight. We know that Account Executives can get information about the reasons behind choosing the particular product or service, as well as about the influence of content and participants of the buying process.

By combining these three elements, we will transform our marketing dashboard into a platform that will show human behavior.

How Self-Reported Attribution Changes Marketing Reporting

One of the easiest changes an organization can implement is asking Self-Reported Attribution questions on high-intent forms. One simple question, like "How did you really hear about us?", reveals details that might be missed otherwise.

The customer could share that they first met the CEO at a podcast appearance, heard about the company through a customer referral, or spent several months consuming their LinkedIn content prior to requesting a demo.

Without knowing this, the dashboard might show that the lead came in from Organic Search since that was the last measurable touchpoint.

With the combination of software attribution and the buyer's response, the marketing team receives a much deeper insight into demand generation. It helps to discover common patterns of activities that create awareness and trust despite being non-converting.

Such insights will optimize budgeting, content creation, and attribution in the future.

Measuring Influence Instead of Just Attribution

Existing attribution models are aimed at allocating credits for generating leads and conversions. These metrics are helpful but sometimes too simplistic because they only reflect part of the customer journey process.

An approach that would be more useful here is influence measurement rather than attributing all the credits for the final purchase to one specific channel.

An influence-based model considers the fact that various marketing initiatives impact at various stages of the buying process. The podcast introduces the buyer to the company. Thought leadership establishes its credibility over several months. The customer success stories lower the risk level during evaluation. And finally, the Organic Search brings the demand to the demo request.

Each of these interactions helps to reach the end goal.

The dashboard, which takes into account the behavior of humans, takes into consideration these influences rather than assigning credits for one interaction only.

Connecting the Marketing Dashboard With RevOps Strategy

Human-centric dashboards do not only help marketing professionals. This tool allows building a common vision of the buyers' behavior for Marketing, Sales, and RevOps.

Marketing gets visibility into what activities drive brand awareness and trust. Sales get a better understanding of how buyers evaluate products prior to discovery calls. RevOps can build more accurate reporting by incorporating data from software with data from customers. The management team can be sure that they make the right decisions regarding budgets as they have a full picture of the revenue creation process.

This level of alignment is one of the core objectives of the Hybrid Attribution Framework. Rather than analyzing separate reports of various departments, organizations can see the whole picture of buyers' behavior, incorporating both quantitative and qualitative data.

The dashboard stops being merely a tool for measuring performance and becomes a strategy tool reflecting the way buyers evaluate solutions.

Common Mistakes When Building Marketing Dashboards

Organizations think that the use of metrics should increase when it comes to dashboarding. In reality, many dashboards are overloaded with information that doesn't contribute much to the understanding process.

A typical mistake is an excessive focus on vanity metrics such as clicks, impressions, and web traffic, but at the same time, neglect of buyer intelligence that comes through sales conversations or Self-Reported Attribution. The other mistake is the belief that attribution software gives the whole truth.

Some companies collect valuable information from customers in terms of qualitative feedback but do not incorporate it into their reporting process. The consequence is that important insights are separated from marketing performance metrics.

The goal of today's dashboards is not an increased number of metrics shown.

It is information useful in making decisions. Simplicity is better than complexity.

Conclusion: Create Marketing Dashboards That Understand Buyers

Modern marketing dashboards excel at analyzing digital behaviors, but B2B marketing requires much more than just tracking clicks and conversions. Podcasts can sway today's buyers, peer influence, thought leadership, customer advocacy, and private conversations – elements that existing analytics systems are incapable of capturing.

Creating a marketing dashboard that captures human behavior is possible by bringing together software analytics and Self-Reported Attribution with sales discovery insights. Both data sets together offer an end-to-end understanding of the buyer journey – providing insights into not only where the conversion happened but also why the buyer engaged. This is especially important as enterprise buyers increasingly shift from search engines to peer networks.

Such an approach will help organizations refine their attribution accuracy, foster collaboration among Marketing, Sales, and RevOps, and make informed investment decisions.