Instagram posts
Rank, read and compare your saved posts.
Saved Instagram reports list possible order matches and the amount each report records; they do not prove that a post caused an order. The Code-method section shows possible Instagram post matches based on saved caption words and dates. Its technical labels FIRM and LIKELY are explained in the expandable method details and redacted export; they are not probabilities or confirmed buyers. The historical 0–100 buying-power formula found in the reviewed archive was marked as a proposal added without Victor, so it is not applied here. No new money or direct person-to-post ties are added.
| Select | Post · original visual & text | Saved metrics · mixed snapshot dates · click to sort | Selected activity dates · 30+ day tail | OCR & source state | Open / copy |
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Monthly comments & long tail Chart, saved counts and export
When your posts keep getting replies.
Monthly chart, counts & how to read the tail
| Comment month | Saved comments | Brand authored | Author not saved | At 30+ days | Age excluded |
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Filter by the publication dates of the posts and, independently, the dates their comments arrived. Click a month to inspect that period. Saved comments are not unique people; snapshot counters and collected rows measure different things.
Library coverage & OCR gaps Posts, saved images and source coverage
Facebook post performance and Facebook-tagged website activity stay in separate source rows.
Buying evidence below comes from Google Analytics source labels. It is not tied to individual Facebook posts. The post table keeps the original Facebook IDs, text, dates and measurements.
Findings & buying power
Read the saved records, then draw your own conclusions.
Opening the saved platform and purchase records…