B2B Intent Data Assessment Suite for ABM Revenue Teams

What This Assessment Does

The B2B Intent Data Assessment by The Starr Conspiracy scores how effectively revenue operations and ABM teams convert fragmented third-party intent signals into account prioritization that sales accepts and works. It is built for B2B tech marketing and RevOps leaders who already pay for at least one intent data subscription but cannot prove pipeline impact. Most teams we score land between 32 and 48 out of 100 on first run.

The assessment evaluates four operational dimensions where intent data programs typically break, and it produces a maturity classification with prioritized fixes. It is the first of four interactive tools in our intent data suite, paired with the ABM Intent Data ROI Calculator, the Intent Data Provider Comparison Tool, and the Intent Data Stack Diagnostic.

How The Scoring Works

Each response carries a weighted value from 1 to 4. We weight Data Integration and Sales Activation more heavily than Signal Sourcing and Measurement, because Bombora's 2023 B2B Marketing Data Study and G2's Buyer Intent methodology documentation both show that signal quality is rarely the constraint. The constraint is what happens after the signal lands in your CRM.

Four dimensions, twelve questions, a 12 to 48 raw score normalized to a 0 to 100 maturity index. The dimensions are Signal Sourcing and Coverage, Data Integration and Hygiene, Account Prioritization and Scoring, and Sales Activation and Feedback Loop.

Benchmark anchors used in interpretation are drawn from Bombora's published coverage methodology, G2's Buyer Intent documentation at documentation.g2.com, Demandbase's ABM benchmark reporting, and The Starr Conspiracy's internal review of 40-plus B2B tech ABM programs assessed between 2023 and 2025.

How To Read Your Score

A score under 40 means your intent data is functionally a cost center. You are paying for signals your sales team does not trust or does not see. A score between 40 and 64 means you have functional plumbing but inconsistent activation, the most common state. A score between 65 and 84 means you are operationalized but not yet differentiated. A score of 85 or above is rare and indicates a program generating measurable pipeline lift attributable to intent.

Limitations to know. This is a self-reported assessment, so scoring reflects your team's perception of program maturity, not an audit of your actual signal accuracy. Industries with very long sales cycles, such as enterprise infrastructure, may score lower on activation metrics without that reflecting a real problem.

Related Reading

For signal definitions, see our intent data glossary entry. For the operational model behind the scoring, see our account prioritization framework. For provider coverage data, see the intent data provider benchmark.

The Bottom Line

Intent data does not fail because the signals are bad. It fails because the integration, scoring logic, and sales feedback loop are not built to convert signals into accepted accounts. Score yourself honestly, then fix the lowest-scoring dimension first. That is where the pipeline is hiding.

Related Questions

Does intent data actually drive pipeline?

Yes, when operationalized. Demandbase's 2024 ABM benchmark data shows programs with mature intent integration produce 2x to 3x higher account-to-opportunity conversion than programs treating intent as a standalone score. The variable is operational maturity, not the data itself.

How many intent data providers do I need?

Most mature ABM programs run two complementary sources, typically one topic-based provider like Bombora and one review-platform provider like G2. Stacking more than three providers without a deduplication and weighting model creates noise, not coverage.

What is the fastest way to improve my score?

Fix the sales feedback loop first. If your AEs cannot tell you which intent-surfaced accounts they worked last quarter and what happened, no upstream improvement matters. Activation is where most programs lose the ROI argument.