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Auto-optimize sequence for performance

Auto-optimize sequence for performance

This prompt runs autonomously to analyze all outbound sequences from the past 30 days. It identifies inactive or low-performing campaigns based on open, reply, and interest rates, then generates short diagnostic notes for each sequence. The Assistant highlights likely causes such as poor targeting, subject line fatigue, or insufficient steps, followed by actionable recommendations for optimization. The output concludes with 3–5 general best-practice tips to guide ongoing outbound improvement, presented in a clear and professional format.

Example prompt:

Act as an outbound strategy consultant. Review my sequences from the past 30 days and identify which are underperforming based on open rates, reply rates, and interested prospect rates. Focus on sequences with low engagement or no recent activity.

For each low-performing sequence, provide a short diagnostic note that includes:

A quick observation of what's likely wrong (e.g., subject line fatigue, poor targeting, over-sending).

A clear recommendation on how to optimize — whether through copy changes, timing adjustments, better segmentation, or sequence length improvements.

Close with 3–5 general best-practice recommendations for improving outbound performance across all sequences. Keep everything short, data-driven, and written like professional outbound advice.

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