Gauging how different touchpoints influence conversion is the ultimate trump card. But capturing this advantage requires a full-funnel measurement approach that most marketers don’t know how to embrace.
Full-funnel marketing has always been about offering a 360-degree experience to customers. It’s a broader and accurate picture of how customers experience your brand- from awareness to purchase and beyond. Addressing how each funnel stage affects a customer’s journey. What it’s not is a means of doing more across the funnel stages.
However, the rumor is that the full-funnel is being unhanded by marketers in 2026.
In 2021, McKinsey & Company published a report asserting how crucial full-funnel marketing is for all businesses to truly influence their bottom line. But such claims have only been aspirational in nature. In another one of their more recent report, the consultancy finds a much more concerning gap in terms of the maturity to structurally implement it.
In other words, McKinsey’s 15-20% ROI lift promise is substantially observational and comes with its own conditions- it’s not merely implementing demand + brand together. It also demands a significant shift in your media allocation to those channels that actually offer higher returns, and then A/B test optimization for all demand gen campaigns.
That’s why the idea works mostly in theory. And only a handful of full-funnel marketing campaigns have been able to make it through this darkened funnel. Something even last-click attribution can’t help you navigate.
Last-Click as the Full-Funnel Measurement Approach is Outdated
When it comes to full-funnel measurement, here’s where more tension arrives.
Only the last click has been rendered useless. It adds no greater value to the campaign influence that’s often sequential and invisible. However, it feels like the most comforting blanket for B2B marketers to fall into- now that the dark funnel has been added to the existing conundrum of multi-digital-channelism.
Your CMOs still must justify the marketing spend to CFOs and CEOs. The simplest answer with the cleanest narrative takes precedence over a probabilistic one. But always remember why last-click proved ineffectual in isolation.
Optimizing Correctly
Dark funnel isn’t a gap in your full-funnel marketing; it’s where your buyers also make purchasing decisions. It’s the 30%. All last-click will do is draw a line around the visible funnel components and call it 100%.
The same goes for optimizing your full-funnel marketing campaigns for specific metrics. You know which ones are significant to your campaign performance, but this presumption is a mistake. That’s why justifying incrementality is one of the toughest obstacles to marketing investing- you don’t always have the full picture, whether it’s retail or fintech.
The last few years have been troublesome for full-funnel measurement. It’s a blind spot that even the savviest marketers haven’t been able to navigate. Blame the poorly managed integrated data landscape. Because CMOs are waking up to realize that not all data is reliable. It’s become common sense.
That’s why last year, we witnessed a shift to more nuanced measurement tactics such as Multi-touch Attribution (MTA) and Marketing Mix Modeling (MMM). These seemed successful in connecting all the useful data to actual decision points, bridging the data silos.
But the question is, did these models still only present as buzzwords, or do they actually prove effective?
Shifting to Modern Full-Funnel Measurement Tactics: Is It Working?
The answer: the impact is a patchwork. The direction, every marketing professional knew, was right. But its operationality is where marketers are facing a snag.
The problem with MMM.
Traditional MMM is all about correlation. In marketing speak? The framework heavily relies on historical data. All the while offering a relatively bird’s-eye view of the customer journey. It’s a huge wall in today’s complex channel ecosystem- where marketers need a granular view for regular optimization.
Marketing Modeling Mix (MMM) operates on a specific number of observations, i.e., 265 data points at a yearly granularity level. Its success depends on striking a much-needed balance between reliability and granularity. That’s the ceiling, especially when marketing teams must optimize channels on a weekly basis.
There’s no silver bullet.
Simply planning a full-funnel marketing strategy isn’t everything. You must prove over time how the top and mid-funnel are valuable through a series of tests or indicators over the long haul.
So, even with MMM, there’s no straight answer. You might have an integrated full-funnel measurement system, but how do you prove its effectiveness? That takes patience- to run the tests, plan, and explain to leadership what you’re doing. You must continue conducting a series of re-tests.
MMM isn’t a plug-and-play solution that marketing has made it into.
This framework is expensive to hold up and often takes months to deploy. And historically, the reporting part of MMM is known to lag after each quarter, when the model requires an update. Marketers find that MMM appears too opaque and challenging to trust. And when they conduct more experiments, the results often contradict their attribution models.
For fast-paced marketing, it’s a structural and operational hazard.
MMM and attribution aren’t interchangeable. While the former works ideally for long-term planning and budget allocation, it’s less suitable for regular campaign steering.
That’s where incrementality models cue in. Because MMM was sold as a one-off solution when in reality, it’s a part of a three-legged framework.
Brands want the ability to measure the impact of their entire media mix.
That’s where incrementality stems as a necessity, by design. It doesn’t operate on correlation but on causal impact. To back the MMM impact with real-world validation- does the model drive actual impact, or does it reflect historical patterns that no longer hold?
Where the Marketers Cannot See: Full-Funnel Measurement Framework for Modern Customer Journeys
Tactics tell you what happened, but frameworks tell you the ‘why- and whether your marketing actually caused it.’
A significant number of conversions, often credited to ads, would have occurred without any interventions. That has led to budget misallocations and opportunities slipping through in the past. Why should brands spend confidently on prospects that were going to convert either way? Meanwhile, marketers starve channels that truly generate new demand.
The marketing industry is beginning to quantify this. Over 52% of US brands and agencies are leveraging and investing in incrementality testing. But even this approach isn’t sufficient all on its own.
Marketers must lean into integrated frameworks that answer questions at different altitudes- at the campaign and portfolio levels. But they must know where to start.
Here are three that actually get into the tidbits of full-funnel measurement. They aren’t strategies or tactics, but baselines that your brand must build upon.
A. The first one is easy- vertical funnel analysis. You don’t just assess surface-level metrics, but dive into the depth of each funnel stage- top, mid, and bottom funnel activities to get a 360-degree view.
B. The second is the all-seeing eye- omnichannel analysis. With this, you know you have a dynamic radar. You’re tracking impact across all channels- visible/invisible, online/offline. It requires integrating with third-party models and some complex attribution logic that focuses on the complicated interconnections of the buyer journey.
C. The third one is a closed-loop analysis. It means relying on zero and first-party signals- connecting the dots from exposure to awareness, and then from comparison to purchase. You spotlight the most impactful paths of conversion and attribute credits based on causal influence.
These baselines are imperative, and not merely nice-to-haves.
There are no gold standards or silver bullets that’ll do the work for you. From MMM to incrementality tests, such techniques accompany specific plans and strategies that turn raw data into informed insights. Whether it’s MTA, MMM, and incrementality testing- none of it works without an integrated approach.
Even getting the most out of incrementality demands a much broader framework and strategy- what to test, when to test it, and how to interpret the results. Incrementality is hard to run and decipher on its own.
So, rather than leaning on a single tactic, marketing requires an integrated framework- a future-proof alternative over others, especially in a privacy-conscious landscape. One that leans into what marketing causes, not what it accompanies as a byproduct.
That’s triangulation for you.
The Now of Full-Funnel Measurement: Triangulation
The majority of the focus of traditional full-funnel measurement falls on the finishing touches. Although MTA might highlight much of the process, it neglects some of the critical early-stage activities and movements that also contribute to a successful full-funnel marketing campaign.
Multiple unseen points contribute to an account’s conversion. MMM, MTA, and incrementality on their own miss on such sections.
As a solution, modern marketing is moving towards a new full-funnel measurement framework- triangulation.
Given the name already suggests, triangulation is a holistic and comprehensive framework that combines MTA, MMA, and incrementality. With such a model, marketers can capture and assess both above-the-line and below-the-line impact of advertising.
There’s no single source of truth here.
But an intermediary platform that allows you to align strengths, functions, and limitations to offer a better version of the truth. It offers an authentic base to help decision-makers make choices by adding on to existing experience and judgment.
Triangulation covers all bases. It provides a nuanced look into past behavior or functionalities that marketing has needed all along to make informed decisions about their future full-funnel campaigns.
The way we search and measure is changing. Rather than remaining hooked on playbooks that were effective once upon a time and metrics that said just enough about your customers, it’s time to pivot.
And triangulation could be the new pathway for modern marketers who are ready to invest in a more holistic approach.
