Multichannel Enrollment Rules

The problem

Running multi-channel outreach often leads to prospects getting double-messaged or receiving follow-ups after they have already replied. Disconnected data streams cause inflated conversion metrics and damaged brand reputation due to colliding sequences.

What it does

• Models enrollment as a single entity per person rather than separate per-channel rows.
• Establishes a centralized exit gate that halts all activity across all channels upon a single reply.
• Defines logical channel ordering and minimum time gaps to ensure messages reinforce each other.
• Creates explicit race condition rules to prevent simultaneous sends from different platforms.
• Standardizes attribution so one conversion is counted once, mapped to the specific source channel.

Why this beats prompting it yourself

Generic prompts often forget the technical friction of race conditions and shared identifiers. This skill enforces a data-first architecture that treats LinkedIn and email as attributes of a single prospect lifecycle, preventing the common "double-tap" error that occurs when AI is asked to just "write a sequence."

Use cases

• Adding LinkedIn touchpoints to an existing cold email infrastructure.
• Synchronizing outreach for teams using both automated and manual social touches.
• Consolidating fragmented prospect data into a single source of truth for attribution.
• Designing complex sequences where social proof must precede direct inbox outreach.

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