Investment strategies

Contact Decay Detection

Contact decay detection identifies when relationship paths degrade—emails bounce, titles change, roles shift, gatekeepers rotate—so coverage teams don’t rely on dead routes to decision-makers.

Contact Decay Detection is the systematic identification of when contact information and relationship routes become stale. In allocator ecosystems, contact decay happens constantly: people change roles, move firms, adopt new domains, shift responsibilities, or stop being decision-relevant. Without detection, teams waste cycles on bounced outreach, misrouted follow-ups, and outdated relationship maps—creating false negatives (“allocator is unresponsive”) and reputational damage.

Contact decay is not only a data hygiene issue. It is a decision-timing issue: the right contact at the wrong time (or the wrong contact forever) destroys conversion probability.

How allocators define contact decay risk drivers

Teams evaluate contact decay through:

  • Deliverability signals: bounce rates, spam traps, reply patterns
  • Role drift: titles change, coverage sleeve changes, authority changes
  • Organizational shifts: reorgs, consultant changes, new gatekeepers
  • Engagement changes: previously responsive contacts go silent
  • Routing changes: new assistants/aliases, new CRM entry points
  • External evidence: new bios, announcements, filings, conference roles
  • Recency controls: last-verified timestamps and refresh cadence

Allocator framing:
“Are we contacting decision-relevant people through live pathways—or shadow routes that no longer exist?”

Where contact decay matters most

  • allocators with frequent staff turnover
  • firms with centralized inbound channels and gatekeeper rotation
  • long sales cycles where contact routes change mid-process
  • coverage teams operating across many institutions and geographies

How contact decay changes outcomes

Strong contact decay control:

  • improves response rates and relationship continuity
  • reduces wasted outreach and reputational friction
  • increases speed to sponsor formation
  • prevents late-stage stalls caused by misrouting

Weak contact decay control:

  • inflated pipeline with non-real opportunities
  • repeated “no response” misreads
  • increased spam risk and deliverability harm
  • slow decisions due to broken stakeholder mapping

How allocators evaluate discipline

Confidence increases when teams:

  • treat contact validity as a monitored metric, not a static field
  • log verification evidence and recency
  • link contacts to decision roles, not just titles
  • update relationship maps when org signals change

What slows decision-making

  • stale contacts creating false silence
  • missing the new sponsor after an org change
  • relying on a single route (one person) to an institution
  • delayed detection because refresh cadence is too slow

Common misconceptions

  • “If email exists, it’s valid” → validity is deliverability + decision relevance.
  • “Contact decay is a minor ops issue” → it directly affects conversion.
  • “LinkedIn updates are enough” → role relevance needs mapping, not just titles.

Key allocator questions during diligence

  • How do we detect bounces, role changes, and routing changes quickly?
  • What defines a “decision-relevant” contact for this sleeve?
  • What is the refresh cadence and evidence standard for verification?
  • How do org changes trigger contact remapping?
  • How is contact decay separated from true allocator disinterest?

Key Takeaways

  • Contact decay is a conversion killer and a deliverability risk
  • Detection requires recency, evidence, and role-based mapping
  • Org change signals should trigger contact remapping automatically