feat: ICP geography classification for the company page - #2
Open
sashaorlyk-cell wants to merge 4 commits into
Open
feat: ICP geography classification for the company page#2sashaorlyk-cell wants to merge 4 commits into
sashaorlyk-cell wants to merge 4 commits into
Conversation
|
Important
This repository does not receive automatic reviews because it has fewer than 10 stars. ⚙️ Run configurationConfiguration used: Organization UI Review profile: ASSERTIVE Plan: Pro Plus Run ID: Thanks for using CodeRabbit! It's free for OSS, and your support helps us grow. If you like it, consider giving us a shout-out. Comment |
- geo_classify.py: pure classifier mapping LinkedIn location strings to ICP buckets — US (ICP target), Ukraine (team/internal), India+China (off-ICP), Other (off-target). US convention: metros with no country suffix are US. - parse-page-xls.py: emit a `geography` block (visitors + followers buckets, ICP % and country breakdown) into monthly.json, from the Location sheets. - build-page-dashboard.mjs: add an "ICP geography" row — US-ICP share stat tiles (red<30 / orange / green>=50) + ICP-bucket bar gauges for visitors and followers. - linkedin-page.json + monthly.json regenerated with the geography data. First real read on S&F's page: only 25.6% of visitors are US (ICP); India is the largest off-ICP block (560, 9.3%). Aggregate over 12 months; per-post is the next step. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
oleksandr-orlyk-source
force-pushed
the
feat/geography-icp
branch
from
August 20, 2026 17:48
0a9a55c to
24610ee
Compare
- geo-monthly.py: build a per-MONTH geography trend from one Visitors XLS export per calendar month (LinkedIn demographics have no date column, so a monthly trend needs one export per month). - dashboards/li-stats/page/geo-monthly.json: 6 real monthly points (Mar-Aug 2026) — US-ICP share and India/China share per month. - build-page-dashboard.mjs: two new monthly charts in the ICP-geography row — "US · ICP share of visitors by month" and stacked "Visitor geography by month" — rendered like the page-views trend. - linkedin-page.json regenerated (pushed live to Grafana). The trend is actionable: Mar 11% US / 17% India (worst), Jun 53% US (best), Jul regressed to 19% US. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Monthly charts held static inline data with the month as a LABEL, not a date,
so Grafana's time picker could not filter them. Fix: a $month Custom variable
plus a Selected-month row whose stat tiles filter via a backend-parser inline
target with filterExpression month == ${month} (parser simple ignores it).
Verified live: 2026-03 = 11.3% US; 2026-06 = 53.3% US.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The ICP-geography headline used the full 365-day export (12 months) while the rest of the dashboard is 6 months. Now the visitor aggregate is the sum of the 6 monthly exports (Location is additive views): US-ICP share 29.4% over Mar-Aug 2026 (was 25.6% over 12mo). Followers stay the current-base snapshot (a stock, not a 6-month flow) and are relabelled '(base)'. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds a geography → ICP classifier and surfaces it in Grafana next to the page dashboard.
geo_classify.py— maps LinkedIn locations to buckets: US (ICP), Ukraine (team), India/China (off-ICP), Other.parse-page-xls.py— emits ageographyblock intomonthly.json.build-page-dashboard.mjs— new ICP geography row: US-share stat tiles + ICP-bucket bar gauges.First real signal: 25.6% of visitors are US (ICP), India is the largest off-ICP block (560 / 9.3%). This is the 12-month aggregate; per-post geography is the next step.
🤖 Generated with Claude Code