For demand gen and marketing-ops teams

Score every AI agent across your campaign stack.

Campaign planners, audience builders, attribution agents — they all pitch faster cycles and better lift. AgentScore reads your CRM and campaign data and tells you which agents move real pipeline and which make the dashboard look better than the funnel.

What you see in the dashboard

  • Per-agent score across pipeline-influenced revenue, campaign cycle time, MQL → SQL conversion, and spend efficiency.
  • ImplementationScore for the marketing org — workflow integration with the CRM and campaign tools, learning loops from agent-vs-human campaign deltas.
  • Recommendations that point at the channel or audience where the agent is quietly underperforming — fix the briefing, not the dashboard.

The agents

What AI in a marketing-ops team typically looks like.

Briefing, audience, and attribution work — same eight factors as every other vertical, weighted for demand operations.

Campaign planner

Drafts campaign briefs, lays out target audiences, suggests channel mix from historical performance.

Audience builder

Generates segments from CRM + product usage. Tracks segment drift and suggests rebuilds when relevance falls.

Attribution agent

Reads campaign + pipeline data, attributes revenue across touches, surfaces which channels actually compound.

Creative drafter

Writes ad copy, landing-page variants, email sequences — each tied to a campaign brief and a target audience.

Lead-quality watchdog

Watches MQL → SQL conversion by source, calls out sources where lead quality is degrading before quota does.

The signal

What we read from HubSpot, Salesforce, and your campaign tools.

OAuth read-only. Pipeline + cycle data only — we don't ingest individual prospect PII.

What we read from your stack
  • Pipeline-influenced revenue

    Revenue from cycles where the agent's campaign or audience touched at least one motion.

  • Campaign cycle time

    Median time from brief to live, on agent-led campaigns vs. team baseline.

  • MQL → SQL conversion

    Lead quality on agent-built audiences vs. human-built segments.

  • Override rate

    How often a marketer rewrites the agent's brief, copy, or audience.

  • Spend efficiency

    CAC delta on channels the agent allocates against the team-managed baseline.

B2B SaaS marketing · 12-person team · 3 campaign agents

A creative agent that won the demo, lost the pipeline.

The agent generated 3x more ad creative variants per campaign — a clean number on the demo. AgentScore caught MQL → SQL conversion dropping 11 points on agent-led campaigns specifically.

Brief inputs tightened, target audience refresh added to the workflow, conversion recovered without giving up the velocity gain. Pipeline math finally matched the dashboard math.

SOC 2 in progress

Type II audit kicked off Q3 — interim report on request.

Read-only data access

OAuth scopes never request write to your CRM, jobs platform, or call data.

Algorithm-only scoring

Every score computed by ASAM. No manual overrides — not for customers, not for us.

Anonymized at ingest

Identifiers stripped before any aggregate analytics. We never train on identified rows.

See which campaign agents move pipeline.

Connect HubSpot or Salesforce. 48 hours to first score.

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