Library/Prospecting & Pipeline Creation/Multi-Channel Sequence Building/Design a 12-Touch Multi-Channel Outbound Sequence
TestedProspecting & Pipeline CreationQuick Win (under 10 min)
About this prompt
This prompt designs a complete 21-day, 12-touch outbound sequence for a defined ICP, covering email, phone, LinkedIn, and pattern interrupt touches — with the messaging intent for each step and the logic behind the sequencing. Use it when building a new outbound motion or when your current sequences are underperforming and you need to rebuild with channel diversity.Single-channel outreach dramatically underperforms multi-touch sequences — this prompt builds the full architecture. Provide your [ICP] and [offer] to get a 21-day, 12-touch plan with timing, channel, and messaging intent for every touch: what each email is trying to accomplish (curiosity, insight, social proof, urgency), what the phone touches are aiming for (intro, follow-up, last attempt), and how LinkedIn weaves in between as a non-intrusive presence builder. Pattern interrupt touches — a video message, a direct mail piece, or an unconventional format — are included and positioned strategically. Use this over a generic cadence template when you need channel-specific logic built in, not just a schedule. Tip: the first three touches carry the most weight — review the intent and framing of the open, follow-up, and 'teaching point' touches carefully before accepting the rest of the sequence.The prompt
Design a 12-touch multi-channel outbound sequence for [ICP] over 21 business days. Include email, phone, LinkedIn, and “pattern interrupt” touches with messaging intent for each step.
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Variables to replace
ICP
How to run it
- Copy the prompt and paste it into Claude, ChatGPT, Gemini, or Copilot — it's tuned to run in any of them.
- Replace the variables — swap each bracketed token for your deal's specifics. The variables list above explains every field.
- Make it yours — run it, keep what's strong, and tighten your inputs on the next pass. The prompt improves with your context.
What good output looks like
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