Use Raw Data Export when you need to move from dashboard trends to precise, joinable event rows—enabling custom pivots, cohort retention, feature adoption deep-dives, and external BI modeling.
What You Can Answer
- Engagement Spike Root Cause
- Long Tail Visibility
- Format Performance
- Role Analysis
- Cohort Retention
Which users & post types drove yesterday’s reaction surge?
Export Workflow
1
Select Date Range
Adjust widget timeframe (e.g., last 7 / 30 days). Smaller ranges export faster & reduce row truncation risk.
2
Open Widget Menu
In the target widget header (Daily Engagements, Post Types, Reach & Impressions) click the Download icon.
3
Confirm Email
Pre-filled from your account; update if you need to CC an alias that’s allowed.
4
Generate Snapshot
Click Generate to queue export—toast confirmation appears.
5
Retrieve Email Links
Email contains signed URLs for each CSV; links valid 24h.
6
Archive & Version
Store files with a date-stamped naming convention (e.g., posts_2025-08-17.csv).
7
Join & Analyze
Combine on shared keys (
postId, user IDs, targetId) in your BI / spreadsheet tool.Available Files
All files capped at 10,000 rows. Split large periods or narrow filters (community, post type) when approaching limit.
Column Reference
Common Core Fields
File Specific Highlights
posts.csv
posts.csv
Includes
postText, postType, tag arrays, and deletion flags for content mining & classification.comments.csv
comments.csv
reactions.csv
reactions.csv
Lightweight engagement events; join to posts for reaction intensity per post type.
post_types.csv
post_types.csv
One row per post with full creator, timing, and type metadata for mix / composition trends.
reach.csv
reach.csv
Each row = post + day; reflects distinct viewer exposure irrespective of creation date.
impressions.csv
impressions.csv
Frequency dimension per post + day; compare with reach to compute repetition (Impressions/Reach).
Data Freshness & Snapshot Semantics
Governance & Limits
For larger ongoing pipelines plan migration to forthcoming API / warehouse sync instead of stitching multiple manual exports.
Joining & Derived Metrics
Troubleshooting
Best Practices
Narrow First
Narrow First
Export smallest viable slice; expand gradually to avoid hitting limits.
Version Files
Version Files
Use ISO date naming; store in a controlled folder for reproducibility.
Pre-Join Profiles
Pre-Join Profiles
Create small dimension tables (user roles, community metadata) and join post-import.
Automate Later
Automate Later
Prototype insights manually before investing in pipeline automation.
Retention Modeling
Retention Modeling
Use impressions.csv to build decay curves for evergreen content strategy.
parentCommentIdenabling thread reconstruction & depth analysis.