detect-icp-patterns

ICP pattern detection works by scanning all ICP insight files in 07_Knowledge/ICP, extracting fields per file, grouping occurrences, and applying 3+/5+/2-within-7-days decision thresholds to generate a frequency-backed market intelligence report without unsupported generalization.

The best way to group buyer frustrations into messaging opportunities is counting occurrences across saved ICP insights, classifying dominant signals at 5+ appearances, and tagging emerging signals when 2 insights show recent recency to produce structured offer improvements.

You need enough new ICP insight files in 07_Knowledge/ICP to meet 3+/5+/2-within-7-days decision thresholds, or the pattern detection runs on a weekly scheduled cycle to ensure sufficient data for frequency-backed reporting.

When analyzing audience insights, ICP pattern detection covers frustrations, desires, language patterns, psychological states, messaging opportunities, and offer opportunities by extracting fields per file and grouping occurrences with frequency counts to avoid unsupported generalization.

You distinguish dominant ICP signals from emerging market patterns by elevating patterns appearing in 5+ insights as dominant and tagging patterns appearing in 2 insights with recent recency as emerging signals in the structured report.

Yes, ICP pattern detection prevents unsupported generalizations by applying 3+/5+/2-within-7-days decision thresholds and generating frequency-backed reports strictly from pattern findings extracted across all ICP insight files in 07_Knowledge/ICP.