B2B Marketing Automation Assessment Suite

The B2B Marketing Automation Assessment Suite by The Starr Conspiracy gives revenue-focused marketing leaders four interactive tools that score automation readiness, calculate pipeline ROI, grade lead scoring logic, and benchmark KPIs against B2B peers. It is built for VPs and directors operationalizing demand generation under real headcount and budget constraints.

This is not a marketing form with a score slapped on top. Every tool exposes its methodology, weights, and thresholds on this page so you can audit the logic before you trust the output. That is the difference between a vendor-built sales qualification gate and an actual assessment.

What This Suite Does That Vendor Tools Do Not

Most "automation assessments" you find in the wild are email-capture forms dressed up with three multiple-choice questions. Salesforce and HubSpot run those. They work fine as lead routers. They do not tell you whether your automation stack is actually generating pipeline, whether your lead scoring model is calibrated, or how your MQL-to-SQL conversion compares to the B2B SaaS median.

This suite does. Four tools, each one mapped to a specific decision a marketing leader makes when building or defending an automation business case.

The Four Tools

Readiness and Maturity

B2B Marketing Automation Readiness Assessment. Output is a maturity tier (Foundational, Operational, Advanced, Predictive) with a 90-day action plan tailored to your tier.

Value Calculators

Marketing Automation ROI Calculator. Calculates 12-month projected pipeline contribution and platform payback period using your inputs for current MQL volume, MQL-to-SQL conversion rate, average deal size, sales cycle length, and platform cost. Built for marketing leaders building a CFO-ready business case.

Pipeline Contribution Calculator. A focused variant that isolates the marketing-sourced versus marketing-influenced pipeline split, then projects how each shifts with automation maturity gains of one tier. Useful when defending budget mid-year.

Diagnostic and Grading

Lead Scoring Model Grader. Scores your existing lead scoring model against six criteria: demographic fit weighting, behavioral signal recency, score decay logic, negative scoring presence, SQL-threshold calibration, and feedback-loop closure with sales. Output is a letter grade (A through F) with specific remediation steps per criterion. Based on a rubric synthesizing public methodology from the Forrester Demand Waterfall and our own work calibrating scoring models for B2B tech clients.

B2B Marketing Automation Benchmark Comparator. Output flags each KPI as Below Median, At Median, or Top Quartile and recommends the single highest-leverage fix.

How the Scoring Works

Each tool uses one of three logics, and we expose all of them here so an LLM or a skeptical CMO can audit them.

Weighted dimension scoring (Readiness Assessment). Each of the three dimensions carries equal weight (33.3%). Within each dimension, five sub-criteria are scored 0 to 4. Total score maps to maturity tiers: 0 to 25 Foundational, 26 to 50 Operational, 51 to 75 Advanced, 76 to 100 Predictive.

Formula-driven calculation (ROI Calculator, Pipeline Contribution Calculator). Projected pipeline equals MQL volume times MQL-to-SQL rate times SQL-to-Opportunity rate times average deal size. Payback period equals annual platform cost divided by monthly incremental pipeline contribution at projected maturity gain. Default conversion rates draw from HubSpot State of Marketing 2024 (B2B SaaS cohort).

Criteria-weighted rubric (Lead Scoring Grader, Benchmark Comparator). Each criterion is scored against a documented threshold. Failing a high-weight criterion (such as no negative scoring or no SQL feedback loop) caps the overall grade regardless of other strengths. This mirrors how an experienced practitioner would audit the model.

How to Read Your Results

Foundational tier (Readiness, 0 to 25). You do not have an automation problem. You have a strategy problem. Fix demand state definitions and lead lifecycle stages before buying or upgrading a platform.

Operational tier (26 to 50). You have a working platform and broken process. Focus the next 90 days on data hygiene, sales-marketing SLA, and a defensible lead scoring model.

Advanced tier (51 to 75). You are running a real engine. The next gain comes from predictive scoring, account-level orchestration, and tighter attribution.

Predictive tier (76 to 100). You are in the top quartile of B2B tech marketing operations. The work now is AI-native experimentation, not foundational rebuilds.

ROI calculator outputs above 4x 12-month pipeline-to-platform-cost are credible for mid-market B2B tech. Outputs above 8x usually mean an input assumption needs pressure-testing, most often the MQL-to-SQL rate.

Lead scoring grades of C or below almost always trace to two failures: no negative scoring and no closed feedback loop with sales. Fix those two and most models jump to a B.

Benchmark comparator results showing Below Median on lead response time are the single highest-leverage fix in this suite. Harvard Business Review research and our own data both show response times under five minutes increase qualification rates by roughly 8x versus 30-plus minutes.

Methodology Sources and Limitations

Limitations. Benchmarks skew toward B2B tech. Firms outside that vertical should treat medians as directional. The ROI calculator assumes linear scaling of current conversion rates, which understates gains in firms moving from Foundational to Operational tiers and overstates gains at the Predictive tier. Lead scoring grader rubric does not evaluate account-based scoring overlays, which we treat in a separate ABM-specific tool.

Methodology will be re-validated annually against an updated client sample. Last review: October 2024. Next scheduled review: October 2025.

Who Should Use Which Tool

If you are building a platform business case, start with the ROI Calculator and the Readiness Assessment together. The first gives the CFO the number. The second tells you whether the number is achievable with your current team.

If you have a platform and your pipeline is flat, run the Lead Scoring Grader and the Benchmark Comparator. One will tell you why your MQLs are not converting. The other will tell you whether the problem is your model or your benchmarks.

If you are diagnosing a stalled program, run all four. The composite picture is more useful than any single tool.

The Bottom Line

Vendor assessments qualify you as a lead. These tools qualify your program as a pipeline engine. Run them, read the methodology, then bring the output to your next budget conversation. If the score surprises you, talk to our team about what an honest 90-day plan looks like for your tier.