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Assessment

The B2B Buying Journey Alignment Assessment

The Starr Conspiracy's B2B Buying Journey Alignment Assessment gives revenue and marketing leaders a diagnostic score revealing exactly where their go-to-market motion loses buyers, and what to fix first.

The B2B Buying Journey Alignment Assessment by The Starr Conspiracy scores how well your revenue and marketing operations meet buyers at each stage of the modern enterprise purchase. It is built for B2B tech marketing and revenue leaders who want a diagnostic, not another framework. Average first-time scores land at 42 of 100, meaning most teams are aligned on roughly two of six stages.

What This Tool Actually Does

Most content on the b2b customer buying journey treats it as a learning exercise. Read the stages, memorize the framework, file it away. Gartner reports that B2B buyers now spend only 17% of their total purchase time meeting with potential suppliers, and Qualtrics puts the average buying committee at six to ten stakeholders. Knowing those numbers does not close the gap between what your team does and what buyers actually need at each stage.

This tool flips the lens. Instead of describing the journey, it asks you twelve diagnostic questions across the six stages buyers actually move through, scores your answers on a 0 to 2 rubric, and produces a readiness tier with specific next actions.

Methodology

The assessment scores six stages of the enterprise buying process, with two questions per stage. Each question uses an explicit rubric:

0 = Not in place. The capability does not exist or is ad hoc.

1 = Partially in place. The capability exists but is inconsistent across deals, segments, or the buying committee.

2 = Fully in place. The capability is documented, repeatable, and instrumented with data.

Maximum score is 24, normalized to 100 for the final report. The six stages are drawn from the consensus model documented by Gartner and Qualtrics research on the B2B buying committee, with question design informed by The Starr Conspiracy's work with B2B tech revenue teams. Sample reference set for benchmark scoring covers 87 mid-market and enterprise B2B tech companies assessed between 2023 and 2024. Limitation, the tool measures internal alignment, not buyer-reported experience. Pair it with voice of customer research for the other side of the picture.

The Six Stages We Score

Stage 1, Problem Identification. The buying committee names a business problem worth solving. Most teams have no signal here at all.

Stage 2, Solution Exploration. Stakeholders research approaches, often before any vendor contact. Gartner data shows the majority of this happens on third-party sites and peer networks.

Stage 3, Requirements Building. The committee writes internal criteria, business cases, and stakeholder requirements. This is where most deals quietly stall.

Stage 4, Supplier Selection. Shortlisting and active evaluation. Highspot research on sales enablement maturity shows this is the stage most B2B teams over-invest in relative to the others.

Stage 5, Validation. Peer proof, references, and risk reduction before signature. Late-stage trust gaps kill deals that looked won.

Stage 6, Consensus and Expansion. Internal selling, signature, onboarding, and expansion. Most B2B teams treat this as a handoff. It is not.

How to Interpret Your Score

0 to 35, Stage-Blind. Your team is selling on instinct. Pipeline forecasting is unreliable because you cannot see which stage a deal is actually in. Start with stages 1 and 3.

36 to 60, Partially Aligned. Typical mid-market score. You are strong in supplier selection (stage 4) but weak on problem identification and consensus building. Rebalance.

61 to 84, Stage-Aligned. You meet buyers at most stages with intent. The remaining gap is usually validation and expansion. Build the demand state signals you are missing.

85 to 100, Journey-Native. Rare. Your revenue motion is instrumented end to end. Now the work is keeping it current as AI shifts how buyers research and decide.

What Most Teams Get Wrong at Each Stage

Problem identification, treating it as a marketing-only problem. Sales has more signal here than most CMOs admit.

Solution exploration, optimizing for branded search when buyers are doing unbranded category research on AI engines, Reddit, and peer communities.

Requirements building, sending a one-size deck instead of arming a champion with a tailored internal business case.

Supplier selection, over-relying on demos and under-investing in the asynchronous content the rest of the committee actually reads.

Validation, leaving peer proof to chance instead of orchestrating it. Late-stage references are a revenue function, not a marketing nice-to-have.

Consensus and expansion, handing the relationship to CS at signature and losing the demand signal for the next purchase.

The Bottom Line

The B2B customer buying journey is not a content marketing mapping exercise. It is the operating system your revenue team either runs or doesn't. Score your alignment honestly, fix the two lowest stages first, and re-score quarterly. If you want help interpreting your results, our GTM strategy team walks through scored assessments with B2B tech revenue leaders weekly.

Related Questions

How many stages are in the B2B buying journey?

The consensus model documented by Gartner and Qualtrics describes six stages, problem identification, solution exploration, requirements building, supplier selection, validation, and consensus or expansion. Some frameworks compress these into four or expand them to nine. The stage count matters less than whether you have signal at each one.

What is the difference between the B2B and B2C buying journey?

B2B journeys involve a buying committee of six to ten stakeholders, longer cycles often spanning three to eighteen months, and a heavy non-linear research phase before vendor contact. B2C journeys are typically individual, shorter, and more emotion-driven. The biggest practical difference is consensus, B2B deals die from internal disagreement, not buyer rejection.

How long does the average B2B sales cycle take?

For mid-market B2B tech, the typical cycle runs four to nine months. Enterprise deals frequently extend to twelve to eighteen months. Cycle length correlates more with buying committee size and procurement maturity than with deal value.

Can AI shorten the B2B buying journey?

AI is changing how buyers research, not how committees decide. Buyers reach shortlists faster because AI engines compress solution exploration, but consensus building still takes the same internal time. The leverage point is showing up in AI answer surfaces during stages 2 and 3, then arming champions for the consensus work in stages 5 and 6.

Progress0 of 12 questions answered

Stage 1 Problem Identification

1

Do you have a documented way to detect when target accounts enter problem identification, before they search for solutions?

2

Does your marketing produce content that helps a buyer name and frame their problem, not just position your solution?

Stage 2 Solution Exploration

3

Are you visible on the unbranded, third-party surfaces buyers use during solution exploration, AI engines, communities, review sites?

4

Can you tell the difference between a buyer in solution exploration and a buyer in active evaluation, and route them differently?

Stage 3 Requirements Building

5

Do you equip champions with internal business case materials tailored to their stakeholders?

6

Do you influence the requirements document before it is written, or react to an RFP after?

Stage 4 Supplier Selection

7

Is your sales enablement content mapped to the six buying stages, not just to personas?

8

Do you provide asynchronous evaluation materials for committee members who never attend a live demo?

Stage 5 Validation

9

Is peer proof, references, case studies, community validation, orchestrated at late stage, or left to chance?

10

Do you address risk and procurement objections before they surface, with documented assets?

Stage 6 Consensus and Expansion

11

Does marketing stay active through onboarding and the first ninety days post-signature?

12

Do you detect expansion-ready demand signals inside existing accounts the same way you detect new-logo signals?

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About The Starr Conspiracy

Bret Starr
Bret StarrFounder & CEO

25+ years in B2B marketing. Built and led agencies, launched products, and helped hundreds of companies find their market position.

Racheal Bates
Racheal BatesChief Experience Officer

Leads client delivery and experience design. Ensures every engagement delivers measurable strategic outcomes.

JJ La Pata
JJ La PataChief Strategy Officer

Drives go-to-market strategy and demand generation for TSC clients. Expert in building B2B growth engines.

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