Landing Platform Research Report 03 · 2026 Original analysis · n = 214 accounts

The Attribution Gap 2026

Across 214 accounts' closed-won deals, 52% of won revenue had no reliable source. The stack captured a median of 6 touchpoints on journeys that actually took ~27. When tools don't share data, most of what marketing earns can't be traced back to what marketing did.

SAMPLE 214 accounts WINDOW Jan–Jun 2026 SEGMENT B2B, closed-won deals METHOD Deal-source reconciliation
Key findings
52%

of closed-won revenue had no reliable source attribution

6/27

buyer touchpoints the stack captured, of the ~27 actually taken

24%

of spend went to channels that couldn't be tied to revenue

38%

of marketers actually measure ROI across the whole funnel

Summary

Marketers are confident. The data underneath them is not.

Between January and June 2026 we reconciled the closed-won deals of 214 B2B accounts on Landing Platform against the source data their stack had captured — first touch, channel, campaign — to see how much of won revenue could actually be traced back to a marketing action.

Just under half could. 52% of won revenue carried no reliable source — the deal closed, but why it closed was a guess. That squares with the wider picture: 84% of marketers say they're confident in their ROI measurement, yet only 38% actually measure it holistically across channels.1 Confidence is high; capability isn't.

The cause is structural. When the ad platforms, the site analytics, the CRM and the email tool each hold a slice of the journey and never reconcile it, the full path is never assembled. The stack doesn't lie — it just can't see. And you can't optimise what you can't attribute.

Methodology at a glance
214Accounts reconciled
6 moWindow, Jan–Jun 2026
Closed-wonDeals traced to source
B2BMulti-touch journeys

Figures are from Landing Platform's own account base; full limitations below. Independent research is cited inline wherever it measures the same thing.

Finding 01 — The confidence gap

Sure it works. Can't prove how.

There's a wide gap between believing marketing drives revenue and being able to show it. Nearly everyone believes; far fewer can demonstrate; fewer still measure it properly end-to-end.

Belief vs. proof, across marketersNielsen & Ruler Analytics
Believe marketing drives revenue84%
Can reliably show ROI60%
Measure ROI across the full funnel38%
Read: proving ROI is the single biggest challenge for 31% of marketers3, and 28% name siloed data as the obstacle to attribution.4 The gap between 84% and 38% is the attribution gap.1
Finding 02 — The invisible journey

The buyer takes 27 steps. The stack sees 6.

Modern B2B buying is long, non-linear and mostly anonymous. Forrester puts the average at 27 interactions before a decision — up from 17 in 2019.6 Gartner finds buyers spend just 17% of the journey with any supplier.5 In our data, the median stack recorded only 6 of those touchpoints.

Touchpoints: taken vs. capturedForrester (taken) · this study (captured)
Touchpoints the buyer takes27
Touchpoints the stack captured6
Read: roughly three-quarters of the journey happens where no single tool is looking. Some benchmarks put the full B2B path near 76 touchpoints over ~211 days10 — however you count it, the stack captures a fraction, and the first touch (the one attribution needs most) is usually the one it misses.
Finding 03 — The cost of not knowing

What you can't measure, you overspend on

The attribution gap isn't just a reporting inconvenience — it's a budget leak. When you can't tell which channels produced revenue, spend keeps flowing to the ones that merely produced clicks. In our data, a median 24% of spend went to channels that couldn't be tied to any won revenue.

Marketing spend, by measurabilityn = 214 · median share of spend
Tied to won revenue76%
Couldn't be tied to revenue24%
Corroboration: marketers waste an average of 26% of their budgets on ineffective channels, and about half misspend at least 20%.9 It compounds with sprawl — the average marketer now pulls from 15 data sources7, and 10–30% of leads leak in the hand-off before anyone even measures them.8
Finding 04 — What closes the gap

One shared journey, not four half-journeys

Attribution isn't a model you buy — it's a data problem you close. When the ad clicks, site sessions, form fills, CRM deals and email opens for a contact all resolve to one timeline, the path assembles itself. In accounts that moved capture and CRM onto one system, traceable revenue roughly doubled.

Before — split tools
48%
of won revenue traceable to a source
After — one shared timeline
~84%
traceable; +36 pts of visibility
The honest caveat: no setup attributes 100% — dark social, word of mouth and offline touches stay fuzzy. The gain is going from "we're guessing on half" to "we can trace most of it," which is enough to reallocate budget with confidence.

Most teams aren't wrong about marketing working — they're just unable to prove which part. When half your won revenue has no traceable source, every budget decision is a coin toss dressed up as a dashboard. Close the data gap and the story was in there the whole time.

TP
Tait Pollack  Founder & CEO, Landing Platform
Method & limitations

What this study is — and what it isn't

The boundaries, plainly.

  • It is our own account base. 214 B2B accounts on Landing Platform — not a random industry sample. B2B, multi-touch journeys; B2C and pure e-commerce attribution behaves differently.
  • "Attributable" means traceable to a captured source, not causal. We measured whether a won deal could be tied to a recorded first/last touch — not a controlled proof that the touch caused the sale.
  • The 27-touchpoint figure is Forrester's, not ours. We compared our captured-touchpoint median against Forrester's published journey length; different studies count touchpoints differently.
  • The +36 points is for accounts that consolidated capture and CRM. It reflects teams that unified tracking, not every account that switched.
  • Some sources flagged. Where a figure is a vendor benchmark (e.g. journey-length estimates) rather than peer-reviewed, it is attributed as such below.
Cite this reportLanding Platform (2026). The Attribution Gap 2026: how much pipeline goes unattributed in a fragmented stack. Analysis of 214 accounts' closed-won deals, Jan–Jun 2026. switchtolanding.com/attribution-gap-2026
Questions

The attribution gap, in five answers

How much marketing revenue goes unattributed?

In this analysis of 214 B2B accounts, 52% of closed-won revenue had no reliable source. Industry-wide, 84% of marketers feel confident in their measurement but only 38% actually measure ROI holistically across channels.1

Why is B2B attribution so hard?

The journey is long and mostly anonymous: buyers take around 27 interactions before deciding and spend just 17% of the journey with suppliers.56 When each tool captures only its slice and they never reconcile, the full path — especially the first touch — is never assembled.

What does poor attribution actually cost?

Budget. When you can't tell which channels drove revenue, spend flows to the ones that drove clicks. A median 24% of spend in this study couldn't be tied to won revenue; industry-wide, marketers waste around 26% of budgets on ineffective channels.9

Do more attribution tools fix it?

Rarely — they add another data island. The average marketer already pulls from 15 data sources.7 Attribution is a data-unification problem: it improves when touchpoints and deals share one timeline, not when you bolt on another model.

Can you ever attribute 100% of revenue?

No — dark social, word of mouth and offline touches stay fuzzy for everyone. The realistic goal is going from "guessing on half" to tracing most of it. In our data, unifying capture and CRM took traceable revenue from ~48% to ~84% — enough to reallocate budget with confidence.

References

  1. Nielsen — 2024 Annual Marketing Report. 84% of marketers are confident in their ROI measurement, but only 38% actually measure holistic (traditional + digital) ROI. nielsen.com
  2. Nielsen — Annual Marketing Report (2022). Only 26% of global marketers are fully confident in their audience data; 54% confident measuring full-funnel ROI. nielsen.com
  3. Ruler Analytics — Marketing Attribution Statistics (2025). 84% believe marketing impacts revenue, ~60% can reliably show ROI, and 31% name proving ROI their biggest challenge. ruleranalytics.com
  4. Ruler Analytics — Marketing Attribution Statistics (2025). 28% of marketers cite siloed data as an obstacle to effective attribution. ruleranalytics.com
  5. Gartner — The B2B Buying Journey. A typical complex purchase involves 6–10 decision-makers; buyers spend only ~17% of the journey meeting with suppliers. gartner.com
  6. Forrester — 2021 B2B Buying Study. B2B buyers averaged 27 interactions before deciding, up from 17 in 2019. forrester.com
  7. Salesforce — State of Marketing, 8th Edition (2022). Marketers use an average of 15 data sources (up 50% year on year), expected to reach 18. salesforce.com
  8. LeanData — Lead Leakage. 10–30% of leads are "leaked" (never actioned or misrouted) due to inaccurate lead routing. leandata.com
  9. Rakuten Marketing survey (2018), via eMarketer. Marketers waste an average of 26% of budgets on ineffective channels; about half misspend at least 20%. Rakuten, via eMarketer
  10. Dreamdata — B2B customer-journey benchmark (2025). Vendor benchmark: the average B2B journey spans ~76 touchpoints over ~211 days. dreamdata.io
  11. Forrester, via Inc. An estimated 60–73% of all enterprise data is never used for analytics. Forrester, via Inc.
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