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Raw Data Export

Raw Data Export lets you download detailed, row-level CSV files for the three most-used dashboard widgets—Daily Engagements, Post Types, and Reach & Impressions—so you can run deeper ad-hoc analysis than the on-screen charts allow. Each export is a point-in-time snapshot (up to 10,000 rows) delivered by email and arranged so the rows in your file reconcile exactly with the counts shown in the corresponding chart.

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Feature overview

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Why use Raw Data Export?

  • Drill into the who, what, where behind peaks and dips surfaced by dashboard widgets.
  • Combine consistent column sets across widgets to answer cross-cutting questions (e.g. “Do power commenters prefer video posts?”)

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What you get

WidgetFile(s) sentQuick descriptionTypical questions answered
Daily Engagementsposts.csv, comments.csv, reactions.csvRow for every post, comment/reply or reaction created on each selected day.When did engagement spike? Who were the drivers?
Post Typespost_types.csvOne row per post with full creator & target details.Is video creation up since our campaign?
Reach & Impressionsreach.csv, impressions.csvOne row per post that was viewed on each day (regardless of when it was created).Which older posts resurfaced last week?

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How to export

  1. Select Content menu and set your date range. The widget refreshes immediately.
  2. In the widget’s header, click Download icon.
  3. Confirm your email address (pre-filled from your account).
  4. Press Generate. You’ll see an in-app toast confirming the request.
  5. Check your inbox. When the file is ready you’ll receive an email with separate links for each CSV mentioned above.
    &#xNAN;Large files may take a few minutes; the email stays valid for 24 h.

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Understanding the CSV columns

Below is a high-level field reference.

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Common fields

ColumnMeaning
dateDay the action occurred (UTC, ISO 8601).
postId / commentId / reactionIdUnique content IDs, useful for joins.
posterUserId / commenterUserIdID of the user who created the content.
targetType / targetIdcommunity, userFeed, etc.—where the content lives.

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Widget-specific highlights

  • Daily Engagements – posts.csv adds postText, postType, deletion flags and tag arrays so you can text-mine captions or filter by type.
  • comments.csv includes parent comment references to let you rebuild threaded views.
  • Post Types focuses on one row per post and inherits all post-level fields above.
  • Reach & Impressions pairs date with postId so you can build time-series views of visibility.

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Data freshness & live-data policy

Each export is generated on-demand and reflects the current state of the selected timeframe:
  • Deleted items are omitted.
  • Edited captions show their latest text.
Think of it as a “frozen screenshot” taken the moment you clicked Generate.

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Best practices

  • Start narrow. Filtering to a shorter date range keeps files under the 10k row limit and speeds delivery.
  • Join files for richer insight. All CSVs share consistent keys (postId, user IDs, targetId) so you can quickly combine them in Excel, Google Sheets or BI tools.
  • Look beyond totals. Pivot by posterUserRole to highlight power users, or chart postType trends week-over-week.
  • Archive large jobs. Re-running the same export later will create a fresh snapshot that might differ if posts were edited or removed.

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Limitations

AreaDetail
Row limit10,000 rows per CSV. Split your timeframe if you expect more.
FrequencyManual on-demand only (scheduled exports are on the roadmap).
File formatUTF-8 CSV, comma-delimited, double-quoted where needed.
These limits align with other SaaS analytics tools to keep file sizes manageable and email delivery reliable.

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FAQ

Q : Can I get more than 10,000 rows?
A : Not yet. We chose 10k based on common SaaS thresholds; larger datasets are best handled via our API or data warehouse integrations (coming soon). Q : Does the export include private community data?
A : Yes—exports respect your dashboard permissions. If you can see a widget, you can export its detailed rows. Q : How can I automate weekly exports?
A : Until scheduled exports land, set a recurring calendar reminder and use the same date-range preset each week. Q : Why don’t I see lifetime reaction counts?
A : Raw Data Export captures events (e.g., a reaction added on 14 Apr), not roll-up metrics.