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Use per-signal performance charts to understand which filters and signal types produce the best data for your credit spend — then scale what works and refine what does not.

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Metrics per signal

MetricMeaning
Hiring managers sourcedNew contacts returned by Job Listening or Market Mapping runs
Hiring signals detectedHiring-related posts found from Monitor Connections
Credits spentTotal credits consumed by sourcing, monitoring, and exports for this signal
Avg. cost per hiring managerCredits spent divided by hiring managers sourced

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Weekly review

1

Check volume

Are hiring managers sourcing at the cadence you expect? Job Listening should add contacts after each 24-hour cycle if filters match active postings.
2

Check relevance

Spot-check titles and companies. Over-broad job filters waste credits on irrelevant hiring managers.
3

Check credit efficiency

Compare avg. cost per hiring manager across signals. High email enrichment on low-intent lists increases cost without improving outbound quality.
4

Adjust one variable

Change filters, enrichment choices, or export strategy on underperforming signals — one change at a time.

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When to pause a signal

Pause signals that consistently source irrelevant hiring managers or burn credits without usable exports. Fix filters before resuming.
  • Low relevance — many sourced contacts do not match your niche
  • Zero results — filters may be too narrow; broaden location or title keywords
  • Credit pressure — reduce enrichment columns or tighten filters before upgrading plans

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Scaling winners

When a Job Listening signal produces steady, relevant hiring managers at a reasonable credit cost:
  1. Duplicate the signal with adjacent title keywords or geographies
  2. Enable auto-stream to your Instantly or HeyReach campaign
  3. Keep Monitor Connections running for warm network overlap