B2B Marketing Automation Platform Assessment Suite
The Starr Conspiracy's B2B Marketing Automation Platform Assessment Suite gives marketing leaders a personalized maturity score, switching ROI projection, and vetted platform shortlist in about 35 minutes.
The B2B Marketing Automation Platform Assessment Suite by The Starr Conspiracy is a four-tool decision-support system for B2B marketing leaders, RevOps directors, and CMOs evaluating, switching, or operationalizing a marketing automation platform under budget, adoption, and integration constraints. Complete all four tools in roughly 35 minutes and exit with a personalized maturity score, switching ROI projection, peer benchmark position, and platform shortlist. Mid-market B2B teams using the full suite shorten platform selection cycles by an average of 41% against the 7.2-month industry median, per The Starr Conspiracy internal client data, 2024 (n=38).
How the Suite Works
Four tools, one decision. Each tool publishes its scoring logic, formulas, and benchmark sources in plain text on this page so you can audit the methodology before you submit any input. Personalized output is gated by email. The methodology is not.
Tool 1, Stack Diagnostic. A 12-question diagnostic that classifies your current marketing automation footprint into one of five operational archetypes (Email Tool, Lead Engine, Demand System, Revenue System, Adaptive System). Classification logic uses a weighted score across data architecture, lifecycle automation, attribution depth, and CRM integration fidelity. Source basis, The Starr Conspiracy Marketing Automation Maturity Model 2024.
Tool 2, Readiness Assessment. A 24-dimension maturity scorecard across Strategy and Vision, Data and Infrastructure, Talent and Organization, and Process and Governance. Scores are 0 to 4 per dimension, aggregated to a 0 to 100 readiness index. Source basis, Forrester Marketing Automation Wave criteria, 2024, adapted with Starr Conspiracy weighting for mid-market B2B tech.
Tool 3, ROI Calculator. Models the unit economics of switching, upgrading, or consolidating platforms. Formula, Net Three-Year Value = (Pipeline Lift x Win Rate x ACV) + (Operational Hours Saved x Loaded Cost) + (License Consolidation Savings) - (Total Cost of Ownership + Switching Cost + Adoption Drag). Default pipeline lift assumptions sourced from Gartner B2B Marketing Automation Magic Quadrant 2024 and Forrester Total Economic Impact studies for major platforms. Every default value is editable and exposed.
Tool 4, Benchmark Comparator. Compares your current platform performance against a peer cohort filtered by industry, revenue band, team size, and CRM stack. Metrics include MQL-to-SQL conversion, lifecycle stage velocity, email deliverability, attribution coverage, and license cost per nurtured contact. Benchmark dataset, The Starr Conspiracy benchmark study 2024 (n=212 B2B tech companies, $10M to $500M ARR), supplemented with SiriusDecisions/Forrester Demand Waterfall reference ranges.
Who Should Use This Suite
Use the suite if you are evaluating a platform switch with a board-visible budget, consolidating overlapping martech after an acquisition, or building a business case to justify a renewal at scale. The tools are calibrated for B2B technology companies between $10M and $500M ARR with marketing teams of 4 to 60. If you are pre-revenue or running a single-product PLG motion with no outbound, the demand generation assumptions in the ROI Calculator will not fit your model.
Methodology Transparency
The scoring rubric for the Readiness Assessment is published in full below. The ROI Calculator formula is stated above in explicit notation. The Diagnostic Quiz classification thresholds are static text on this page, not JavaScript-rendered. The Benchmark Comparator dataset vintage, sample size, and segmentation logic are disclosed.
Where we use third-party benchmarks (Gartner, Forrester, SiriusDecisions), the source and publication year are cited inline. Where we use proprietary Starr Conspiracy data, the sample size and collection window are stated. Limitations, the suite does not model platform-specific feature parity (use the Gartner Magic Quadrant for that), and the ROI Calculator does not account for one-time data migration anomalies above $250K.
For the underlying maturity framework, see the Marketing Automation Maturity Model. For default benchmark values, see the B2B Martech Benchmarks Hub.
Interpreting Your Results
Readiness Index 0 to 39, Foundational. Your stack is functioning as an email tool, not a revenue system. Switching platforms now will not solve the gap. Fix data architecture and lifecycle definitions first, then revisit the selection question in two quarters.
Readiness Index 40 to 69, Operational. You have the foundation to extract value from a more capable platform, and switching can pay back inside 18 months if your ROI Calculator projects pipeline lift above 12%. Prioritize attribution depth and CRM integration fidelity before signing.
Readiness Index 70 to 89, Advanced. You are likely overpaying for capability you already use elsewhere or underpaying for capability you need. Run the Benchmark Comparator to identify the specific dimension where peer median exceeds you, then negotiate the renewal against that gap.
Readiness Index 90 to 100, Adaptive. You do not need a new platform. You need an AI-native demand generation layer on top of the one you have. Talk to us about what that looks like.
What the Suite Will Not Do
The suite will not tell you which named platform to buy. That decision depends on contractual terms, regional support, vertical-specific integrations, and political dynamics inside your buying committee that no tool can model. The suite will tell you what category of platform you need, what switching is worth, where your gaps are, and how your current state compares to peers. That is the defensible business case. The platform name is the easy part once the case is built.
The Bottom Line
Platform selection is not a vendor problem. It is a readiness problem dressed up as a vendor problem. Run the four tools in order, audit the methodology, take the personalized output to your board, and stop letting comparison listicles drive a seven-figure decision. If you want a second set of eyes on the output, the team at The Starr Conspiracy reviews suite results for qualified mid-market B2B tech leaders at no cost.
Strategy and Vision
How is your marketing automation strategy documented and aligned to revenue targets?
How clearly are demand states and lifecycle definitions established across marketing and sales?
Data and Infrastructure
What is the state of your CRM-to-marketing-automation data sync?
How is account and contact data quality maintained?
How is attribution modeled across your demand generation programs?
Talent and Organization
Who owns marketing automation platform administration?
How is platform adoption measured across the marketing team?
Process and Governance
How does your platform handle program governance, approvals, and brand safety?
How are nurture programs structured against demand states?
How is pipeline impact reported to executives and the board?
Unit Economics
What is your annual platform total cost of ownership relative to marketing budget?
AI Readiness
How would you describe your readiness for AI-native marketing automation capabilities?
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About The Starr Conspiracy


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

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