Marketing · Source connector
X Organic Analytics ELT Connector
Extract brings X Organic Analytics marketing data into data warehouses and databases for analysis with the rest of your business data. Teams use it to compare channel performance, audience engagement, and campaign trends. Flexible scheduling keeps reporting current for routine analysis and time-sensitive decisions.
View setup guide
Use cases
What teams use this connector for
Marketing performance analysis
Compare X Organic Analytics channel, campaign, and engagement trends to identify opportunities for improvement.
Audience and content analysis
Use X Organic Analytics data to understand which audiences, content, and activities contribute to engagement.
Cross-channel reporting
Combine X Organic Analytics metrics with other marketing and business data for consistent performance reporting.
Flexible reporting cadence
Refresh X Organic Analytics reporting every 15 minutes, hourly, daily, or on a custom schedule as business needs change.
Warehouse and database analysis
Use Extract to make X Organic Analytics marketing data available in data warehouses and databases such as Snowflake, BigQuery, Redshift, and PostgreSQL for governed analysis.
Connector data
Available streams
| Stream | Description | Sync mode |
|---|---|---|
accounts | Fields include name, business_name, timezone, timezone_switch_at. | Full refresh |
organic_report | Fields include date, id, account_id, entity. | Incremental |
scheduled_tweets | Fields include account_id, name, completed_at, text. | Full refresh |
tweets | Fields include account_id, coordinates, retweeted, source. | Full refresh |
Schema
Data model at a glance
accounts
namestringbusiness_namestringtimezonestringtimezone_switch_atstringidstringcreated_atstringupdated_atstringindustry_typestring
organic_report
datestringidstringaccount_idstringentitystringplacementstringengagementsintegerimpressionsintegerlikesinteger
scheduled_tweets
account_idstringnamestringcompleted_atstringtextstringuser_idstringscheduled_statusstringidstringnullcastboolean
tweets
account_idstringcoordinatesstringretweetedbooleansourcestringentitiesobjectdisplay_text_rangearrayfavorite_countintegerin_reply_to_user_idstring
No verified relationships are available in this schema preview.
Connector pairings
Popular destinations
Commonly paired with X Organic Analytics in Extract workflows.
Why Extract
Why Extract for X Organic Analytics
- Rust-native performanceUse Rust-native data movement to refresh X Organic Analytics reporting every 15 minutes, hourly, daily, or on a custom schedule as volume grows.
- Full run transparencyInspect X Organic Analytics API activity, execution steps, and timing in Extract's run-level logs when data needs review.
- ELT + Reverse ETL in oneCombine X Organic Analytics data with customer and finance models, then send approved outputs through a separately configured Reverse ETL destination.
FAQ
Frequently asked questions
How does Extract handle incremental and full X Organic Analytics syncs?
An incremental sync processes only new or changed data since a stored checkpoint or new date partition, while a full sync processes the complete selected dataset or date range again. By avoiding repeated processing and writes for the full dataset, incremental syncs can reduce destination database updates and warehouse compute costs. Stream schemas define full refresh, partition-based extraction. Behavior varies by stream and configuration. Extract records run details so teams can verify each sync.
Can I backfill historical X Organic Analytics data with Extract?
Historical coverage for X Organic Analytics: Backfill (Days) (backfill): The backfill setting revisits and updates data from the past X days, ensuring the most current and accurate information replaces any previously pulled owned-account tweet and organic analytics data. Use the setup guide and run details to confirm the available source records and selected settings.
How can teams monitor X Organic Analytics data quality and freshness?
Compare expected reporting periods and record totals in your models, then use Extract's run-level logs to inspect X Organic Analytics API activity, execution steps, and timing. This helps teams distinguish a source-data delay from a failed or incomplete run.
How often can Extract sync data from X Organic Analytics?
Extract supports schedules every 15 minutes, hourly, daily, or on a custom cadence. Teams can choose a frequency that matches routine reporting, time-sensitive monitoring, or operational activation needs.
What does the X Organic Analytics data model look like in the destination?
The Available streams table describes the datasets Extract can read from X Organic Analytics. The inline schema previews entities and fields. Only relationships verified from the exported schema are shown. Use the full schema link for more details.