Observed Signal · Aug 5, 2026 · Opinion · Source: The Drum · Impact: 2/5 · Sentiment: Positive
Attribution Limits B2B Growth, Urges Broader Investment
Chris Bagnall, CEO & Founder of Transmission, argues that an overreliance on tidy attribution metrics (especially last-click) constrains B2B marketing growth by diverting budget toward immediately measurable touchpoints and away from brand, community, and creator work that drives future demand. The piece cites research from Gartner, Forrester, McKinsey and Brand Finance to show most of the B2B buying journey occurs out of view of dashboards and involves multiple decision-influencers. Bagnall recommends broader measurement — including account-based attribution platforms (e.g., Dreamdata), incrementality/holdout tests, marketing-mix modelling, brand tracking, and self-reported attribution — and argues businesses should fund activities they cannot fully trace.
Opinion piece highlights limitations of last-click attribution and promotes broader measurement approaches; useful to B2B marketers and measurement vendors but not a platform policy change or major technical release.
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Key Takeaways & Evidence Grounding
- The author (Chris Bagnall) contends that reliance on neat attribution numbers is capping B2B marketing growth and encourages funding work that cannot be fully tracked.
- The article cites Gartner saying more than 80% of the B2B buyer journey is not captured by typical dashboards.
- Gartner is cited as finding B2B buying groups usually include 6–10 people, and Forrester is cited as finding there can be up to 13 decision-influencers in buying networks.
- The piece references Gartner data claiming buyers increasingly start purchases inside an "AI Overview", leaving vendors to capture roughly 17% of buyers' time.
- The article states strong B2B brands outperform weak ones by around 20% (McKinsey) and can carry roughly a 65% premium on forward earnings multiples (Brand Finance).
Connected Companies & Entities
7 Entities mapped“You understand that it’s mostly fiction built to appease those in charge of the purse strings. ... the [more than 80% of the buyer journey](...”
“The true extent of the buyer journey: a single considered purchase now runs through a [6-10 person buying group](https://www.gartner.com/en/...”
“Better B2B attribution platforms (such as Dreamdata) model the whole account journey far more honestly than Google Analytics or last click e...”
“With last-click (or an opaque ‘data-driven’ model no one can crack) becoming the only attribution models left on Google Analytics, B2B marke...”
“Gong is a great example within our industry. In 2019, they coined ‘revenue intelligence’ as a category, and then owned it....”
“What can’t be tracked also greatly contributes to a business’ performance: strong B2B brands outperform weak ones by [around 20%](https://ww...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Stop seeking a perfect attribution model
The article argues that expecting a single attribution model to explain modern B2B buying journeys is unrealistic. Three shifts — structural (longer, multi-contact journeys), technical (signal loss from privacy controls, cookie restrictions, ad blockers, AI-driven search, and identity fragmentation), and organizational (different stakeholders needing different answers) — have changed attribution’s role. Rather than searching for one perfect model, successful organizations combine multiple attribution models with complementary methods: server-side tracking, conversion APIs, identity resolution, marketing mix modeling, experimentation, incrementality testing, CRM-connected measurement, and qualitative research. The recommendation is to build a measurement stack that assembles the highest-confidence buyer journey from available signals and uses each method where it best answers specific business questions.
Attribution: A Shield, Not a Solution for Accountability
The article argues that marketing attribution—multi-touch models and dashboards—measures activity but does not establish ownership or leadership responsibility. Attribution grew as a defensible tool amid fragmented channels and budget pressure, but models are built on partial data and assumptions (platform bias, missing offline/partner influence, time-lags). The piece urges senior marketing leaders to clearly declare ownership (pipeline, CAC, retention, channel investment), dependencies (sales, product, pricing, support), and assumptions, and to redesign reporting around decisions rather than polished certainty. It also highlights structural martech issues—fragmented stacks, overlapping analytics, inconsistent definitions—and recommends procurement frameworks, clarified governance, and accountability-focused reporting to rebuild credibility and improve decision-making.
Attribution Must Evolve as Consumer Behavior Fragments
Drive Social Media told MarTech Series that as consumers move across search, social, streaming, email, reviews and websites before buying, traditional last-click attribution no longer captures the full customer journey. The piece says marketers are increasingly adopting multi-touch attribution and customer-journey analytics to understand which channels create awareness, nurture consideration, and drive conversions. It also highlights that privacy regulation, reduced tracking, and third-party cookie changes are raising the importance of first-party data and cross-platform data connection. A Drive Social Media spokesperson emphasized that measurement must adapt to diverse, multi-step buying paths so businesses can allocate budgets more confidently and improve marketing efficiency.
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