B2B Multi-Touch Attribution Assessment

The B2B Multi-Touch Attribution Assessment by The Starr Conspiracy scores revenue marketing leaders across four readiness dimensions (data hygiene, journey instrumentation, sales alignment, model governance) and returns a maturity tier with a prioritized fix list. It is built for B2B SaaS CMOs and VPs of Revenue Marketing deciding whether to invest in attribution infrastructure. Forrester's 2024 B2B measurement benchmark found that only 23% of B2B marketing organizations rate their attribution as 'mature enough to inform pipeline forecasting.' The other 77% are guessing.

This assessment tells you which group you're in, and what it takes to move up a tier.

Why Most B2B Attribution Projects Stall

The attribution conversation in B2B has been hijacked by platform partners. Tools like Improvado, HockeyStack, Dreamdata, and ZoomInfo Pipeline publish 'readiness assessments' that score you against their product's capabilities. That's a sales qualification form wearing a methodology costume. Matomo and Mouseflow go the other direction, framing attribution as a tracking problem (UTMs, pixel placement, session stitching), which misses the actual reason B2B attribution fails.

B2B attribution is not a tracking problem. It is an organizational readiness and model governance problem.

When attribution projects collapse in B2B SaaS, the failure is rarely the pixel. It is one of four things: dirty CRM and marketing automation data that cannot survive joining across systems, journey instrumentation that ignores the four to eight stakeholders on a typical enterprise buying committee, sales and marketing leaders who disagree on what counts as a touch, or zero governance on how the model gets revisited when the GTM motion changes. This assessment scores all four.

Methodology

The scoring rubric draws on three named sources plus our own work with B2B tech marketing organizations:

• ITSMA account-based attribution framework for the multi-stakeholder journey dimension, specifically the buying-group attribution logic that treats account-level signal as the unit of analysis rather than lead-level touches.
• Forrester B2B Revenue Waterfall (formerly the SiriusDecisions Demand Waterfall, refreshed in 2023) for the demand-state mapping that defines what stages your instrumentation must cover.
• Forrester 2024 B2B Marketing Measurement Survey for the benchmark percentiles that anchor each maturity tier.
• The Starr Conspiracy B2B Attribution Maturity Model, refined across 25 years of B2B tech marketing work, for the four-dimension scoring structure and the tier thresholds.

Each question maps to one of the four dimensions and carries a 1-to-4 score. Total possible score is 48. Maturity tiers are calibrated to Forrester's mid-market and enterprise B2B sample distributions, so your tier reflects where you actually sit against peers, not against a vendor's wish list.

The scoring formulas and tier thresholds are published in full below. The interactive tool produces a personalized result and prioritized recommendation, which is the only output we email-gate. The methodology is open.

How to Use Your Score

Your total score places you in one of four maturity tiers. Each tier has a characteristic profile and a single highest-leverage next move. Do not try to fix everything at once. B2B attribution maturity compounds, and the wrong sequence wastes 12 to 18 months.

• Tier 1, Foundational (0 to 16): Your CRM and MA data cannot reliably join. Fix data hygiene first. Nothing else matters until account, contact, and opportunity records resolve cleanly.
• Tier 2, Functional (17 to 28): Data joins, but you are still scoring lead-level touches in a buying-group world. Move to account-level attribution logic before adding more channels.
• Tier 3, Operational (29 to 40): You have account-level attribution and sales-marketing agreement on the model. Now invest in governance, specifically a quarterly model review tied to GTM motion changes.
• Tier 4, Strategic (41 to 48): You are in the top quartile. Your next move is predictive, not descriptive. Apply the model to pipeline forecasting and channel mix optimization.

For the underlying definitions of account-based attribution and the B2B Revenue Waterfall, see the linked glossary entries. The full diagnostic logic lives in our B2B Attribution Maturity Model framework page.

What This Assessment Will Not Do

It will not pick a platform for you. Platform selection is downstream of model selection, and model selection is downstream of readiness. If your score lands in Tier 1 or Tier 2, buying HockeyStack or Dreamdata will not save you. The platform will accurately reflect your broken data back at you, and your CFO will ask why you spent six figures to confirm what a spreadsheet already told you.

It also will not tell you what to say to your CEO on Monday. For that, pair this assessment with the Attribution Infrastructure ROI Calculator, which converts your tier and pipeline volume into a dollar-value business case.

The Bottom Line

If you cannot name your attribution maturity tier and the one dimension dragging your score down, you are not ready to invest in attribution infrastructure. Take the assessment, read your tier honestly, and fix the dimension the rubric flags first. That sequence is the difference between an attribution project that proves marketing's pipeline impact and one that quietly gets defunded in next year's budget cycle.