We're doing what a smart analyst would do manually: reading every post, scoring it against known patterns. In 3 minutes instead of 3 hours.
We're doing what a smart analyst would do manually: reading every post, scoring it against known patterns. In 3 minutes instead of 3 hours.
We pull the last 90 days of your public posts. For private metrics, you authorize read-only access. Takes 90 seconds, nothing stored beyond what the analysis requires.
Hook scoring, hashtag specificity, engagement pattern detection, CTA placement, posting cadence. Finishes in 2–4 minutes. Every post is analyzed, not a sample.
Not a PDF. A short list ordered by expected impact. The item at the top is what to fix first. Re-analyze in two weeks and track whether the score moves.
Not industry benchmarks or platform documentation. Actual numbers from accounts we've run through the system.
Accounts using 5–7 tags in the 50K–500K post range consistently outperformed those flooding posts with broad tags. Pattern held in 74% of analyzed accounts.
If the first line explains context rather than earning attention, most readers are gone before line two. This is measurable from save and share patterns across the full dataset.
Not 7. Not 1. Consistent 4× posting with strong hooks outperforms daily posting with weak openers. Frequency without quality makes performance worse, not better.
Instagram · cooking · numbers verified by the creator
Dropped all broad tags. Replaced with 6 niche-specific ones under 500K posts. Reach per post increased within 3 days of the first post with the new set.
Every caption was opening with 'Today I'm making…'. Switched to question-first and specific-detail openers. First test post got 4× the usual saves.
'Let me know below!' became 'Save this for your next dinner party' — one change, saves doubled within two weeks.
6 weeks between first and second analysis