Glossary

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Glossary / Evaluation and implementation guide

Account Signal Intent Score

An Account Signal Intent Score is an internal scoring model that converts raw intent signals — third-party topic research, first-party content visits, review-site activity — into one account-level number.

It differs from the raw signal catalog and from a composite priority score that also mixes fit and pipeline; here the model itself is the decision: which sources count, how much, and how fast scores decay.

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A practical example

Example: a team weights first-party pricing-page visits at 3 points, third-party topic spikes at 2, applies a 30-day decay, and sets 8 as the alert threshold for rep outreach.

What to evaluate before investing

  • Can the platform expose per-signal contributions so reps see why an account scored high?
  • Does it support custom weights and decay windows, or only vendor-defined scores?
  • Can thresholds trigger routing or alerts without engineering work?

Limitations and tradeoffs

Vendor intent scores are typically opaque and non-comparable across providers; building your own model requires clean signal feeds and ongoing recalibration, or the score drifts into noise.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.

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