Clarity across the funnel
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Full-funnel is one of the buzz words of the year – but it is often poorly understood
We want to understand marketers’ real-world perspectives on full-funnel measurement:
- how they define it
- what value they expect from it
- what challenges and frustrations they face in measuring it
- how the industry is evolving it
Because while the ambition is clear – connecting media investment to business outcomes – the reality is often more complex. Definitions vary, approaches differ and consistent measurement remains difficult to achieve.
We explore how the industry is navigating that today, and how marketers see full-funnel measurement evolving in the future.
Google Trends shows a sustained increase in searches for “full funnel” worldwide
Search interest over a specific time period, displayed on a relative scale from 0 to 100, where 100 signifies the peak interest for the time period of the chart. A value of 50 indicates half the popularity of the peak and 0 suggests insufficient data.
- 64% Male
- 36% Female
- 45% C-Suite
- 35% Senior Management
- 13% Middle Management
- 7% Business Owners
Australia
Brazil
Canada
France
Italy
Spain
Sweden
Turkey
United Kingdom
USA
Vietnam
What percentage of marketers do you think see value in measuring the full-funnel?
Correct!
Wrong!
Wrong
Wrong
Marketers want full-funnel measurement
But there is no single definition
How do marketers define full funnel measurement?
‘It’s a term we use to actually determine the impact of videos, from getting a cold lead to turning that lead into a customer’
Survey respondent
‘Full funnel measurement assesses marketing effectiveness across the entire customer journey, ensuring both short term performance and long-term growth are both understood’
Survey respondent
‘Combined metrics from the omnichannel approach’
Survey respondent
‘It’s a comprehensive marketing strategy that addresses every stage of the customer’s journey from initial awareness to the final purchase and it’s loyalty’
Survey respondent
Full-funnel measurement is a unifying label rather than a single shared definition.
At its core, it refers to a connected approach that links upper-funnel signals (such as reach and frequency) to lower-funnel outcomes (such as sales or brand impact) within a measurement framework.
While the principle is consistent, its application varies by advertiser -depending on industry, business objectives, and where value is created across the funnel.
As a result, marketers use many metrics and solutions
Measurement is used for both tactical and strategic evaluation
Measurement is clearly informing strategy and campaign optimisation but is less consistently applied to reporting and broader performance management – indicating it is not yet used consistently across the full measurement lifecycle
Sales uplift, Brand Tracking and MMM are most often used to evaluate brand marketing spend
Marketers rely primarily on agencies and media platforms to deliver measurement across the funnel
Measurement is primarily delivered by agencies and platforms, with independent providers playing a smaller role. As a result, measurement is often conducted within the same ecosystems that activates media, making independence and comparability more difficult to achieve across channels. Creating a structural imbalance.
Despite having different approaches, marketers face a common set of challenges
Consistency & quality of data are the primary challenges
The most commonly cited challenges relate to data consistency, integrity, and access to cross-platform data, highlighting that data quality and comparability remain key barriers across organisations.
These challenges degrade confidence in the data, and prevents measurement from being actioned
In addition, insights arriving too late, tools not integrated into planning, complex results and internal politics were cited as blockers to the adoption of full funnel measurement. At its core, full funnel measurement is a clarity and trust issue.
For most marketers, data quality is a must
For
quality and accuracy is the most important factor when deciding which tool to us
Given the challenges, it is clear why quality and accuracy rank significantly higher than any other factor, showing that data reliability is the primary consideration when selecting measurement tools. Achieving high level of reliability requires independent, validated measurement to ensure consistency and comparability across channels.
Marketers believe that full-funnel will improve
AI will act as an accelerator
- Automated insights across awareness → conversion → action
- Modelled outcomes to manage signal loss and to predict outcomes
- Improved operational efficiency to allow ‘always on’ or near real time
- Smarter tools
An expanded “cross” media
Not just across video, but brand and performance, online and offline, media and non-media drivers, multi modal solutions (MMM + MTA + brand lift + reach)
Takeaways
Marketers want full-funnel measurement
But there is no single definition across them
As a results, marketers use many metrics and solutions
Though approaches differ, challenges are shared
Data quality is the deciding factor
Marketers believe that full-funnel will improve, and AI will act as an accelerator
Clarity across the funnel
Measurement isn’t up for debate — marketers agree it’s essential.
But there is no single definition or approach to full-funnel measurement. As a result, organisations are using a wide range of metrics and solutions to plan, optimise and evaluate performance.
Despite this variation, the challenges are consistent. Data quality, consistency and comparability remain the biggest barriers to making full-funnel measurement work in practice.
At the same time, marketers are clear on what matters most: reliable, accurate data that supports confident decision-making.
The direction is clear. Full-funnel measurement is evolving, with a growing focus on improving consistency, efficiency and cross-media understanding — with AI acting as an accelerator of that shift.