B2B Lead Generation Assessment Suite for Tech Marketing Leaders

The B2B Lead Generation Assessment by The Starr Conspiracy scores B2B tech and SaaS marketing leaders across seven demand-engine dimensions, then returns a maturity tier, a pipeline gap estimate, and a 90-day rebuild plan. Most teams we score land in the 38 to 52 percent range, which Forrester's 2024 B2B Marketing Survey corroborates: roughly half of B2B marketing organizations rate their pipeline predictability as low or inconsistent.

What This Assessment Actually Measures

Your old playbook isn't broken because the channels stopped working. It's broken because your team is still optimizing for a buyer who doesn't exist anymore. The assessment evaluates whether your demand engine has caught up to that reality.

The scoring covers seven dimensions grouped into three categories. Strategic foundation: ICP precision, messaging differentiation, and demand state mapping. Operational engine: data infrastructure, channel mix, and sales-marketing alignment. Measurement discipline: pipeline attribution and ROI accountability. Each dimension is scored 1 to 5, weighted, and rolled into a composite that maps to one of four maturity tiers.

Methodology and Data Sources

The scoring rubric draws on three inputs. First, the Ten Demand States model, which replaces the legacy funnel with a behavior-anchored view of how B2B tech buyers actually move. Second, benchmark ranges from Forrester's 2024 B2B Marketing Survey, Gartner's 2024 CMO Spend Survey, and the Forrester Demand Waterfall (revised 2023). Third, an internal dataset of 140 B2B tech and SaaS pipeline audits we conducted between 2022 and 2024, with company sizes ranging from 50 to 4,000 employees.

Two limitations worth naming. The assessment is calibrated for B2B tech and SaaS specifically; results for services firms or industrial B2B will be directionally useful but less precise. And the pipeline gap estimate assumes your CRM data is at least 80 percent complete on opportunity stage and source attribution. If it isn't, fix that first.

Methodology is fully exposed on this page. Scoring thresholds, dimension weights, and tier definitions are public. Only the personalized output (your score, gap estimate, and rebuild plan) requires an email.

How Scoring Works

Each of the seven dimensions has four to six diagnostic questions. Responses map to a 1 to 5 score per dimension. Strategic foundation dimensions are weighted 1.5x because our pipeline audits show ICP and messaging weakness account for 60 to 70 percent of pipeline shortfall in stalled B2B tech engines. The weighted composite produces a percentage score, which maps to a maturity tier.

The Four Maturity Tiers

Tier 1, Reactive (0 to 35 percent). Your engine runs on tactics, not strategy. Lead volume is unpredictable, sales doesn't trust the leads marketing sends, and pipeline forecasts are educated guesses. Typical pipeline gap versus plan: 40 to 60 percent.

Tier 2, Functional (36 to 55 percent). The fundamentals are partially in place but not integrated. You have an ICP document nobody uses, a martech stack with redundant tools, and attribution that breaks at the MQL handoff. Typical pipeline gap: 20 to 35 percent.

Tier 3, Aligned (56 to 75 percent). Brand, demand, and operations are pulling in the same direction. Sales and marketing share definitions and forecasts. Attribution is imperfect but defensible. Typical pipeline gap: 5 to 15 percent.

Tier 4, Compounding (76 to 100 percent). The engine improves itself. AI-native workflows are operational, not experimental. Pipeline is predictable enough that the CFO stops asking questions. Less than 5 percent of B2B tech organizations score here.

Interpreting Your Result

A Tier 2 score is not a Tier 3 problem with extra effort. The dimensions that pull a Tier 2 score down are almost always strategic foundation, not operational. Adding more SDRs, switching marketing automation platforms, or buying intent data will not move you to Tier 3. Fixing ICP precision and messaging differentiation will.

The rebuild plan returned with your score sequences the work in the order that produces pipeline fastest. Strategic foundation first. Operational engine second. Measurement discipline third. Teams that reverse this sequence (the most common pattern in our audit dataset) spend 9 to 14 months rebuilding tooling before they fix the underlying strategy, and pipeline gets worse before it gets better.

Where This Sits in the Broader Suite

This assessment is the entry point. Once you have a maturity score, the B2B Pipeline ROI Calculator translates the tier into a dollar projection your CFO can defend. The Lead Gen Benchmark Comparator shows where your conversion rates, CAC, and pipeline velocity sit against tech sector benchmarks. The Outbound Strategy Diagnostic classifies your outbound archetype and maps it to a play set that fits your ICP and sales motion.

Use them in that order. Score first, project second, benchmark third, diagnose fourth. Each builds on the previous output.

Related Questions

How is this different from a typical lead generation audit?

Most audits inventory your tactics. This scores your strategy. An audit will tell you your email open rates are below benchmark. The assessment will tell you whether your ICP definition is the reason your email open rates are below benchmark, which is usually the actual problem.

How long does the assessment take to complete?

The interactive version takes 12 to 18 minutes if you have the answers ready. If you don't, the questions themselves are the diagnostic. A marketing leader who can't quickly answer "what percentage of pipeline closes from your top three accounts" has already learned something useful.

Can we use this if we're a services firm or non-tech B2B?

Directionally, yes. The strategic foundation dimensions translate across B2B. The operational engine benchmarks are calibrated to B2B tech and SaaS, so adjust those ranges by 10 to 15 percent for services firms. Industrial B2B should treat the channel mix scoring as illustrative rather than prescriptive.

What happens after we get our score?

You get the score, the tier, the pipeline gap estimate, and a 90-day rebuild plan sequenced to your weakest dimensions. If you want to talk through the result with the team that built the methodology, book a working session. No pitch deck. A working session means we look at your actual data with you.

The Bottom Line

If your board is asking why pipeline is down and your team is debating whether to buy more AI tools or hire more SDRs, you are asking the wrong question. The right question is whether your demand engine has the strategic foundation to make either investment pay back. Score the engine first. Decide second.