Data source
Collect Twitter (X) Ads data. Deliver reports. Automate AI Insights.
Easily collect Twitter Ads data with OWOX Data Marts, store in your data warehouse, automate reporting across major BI Tools and AI Insights (the ones that matter) delivered straight to corporate messengers on a schedule.
The analytics system teams actually use
Marketplace users
175K+
teams running OWOX from the Google Workspace Marketplace
G2 rating
4.9
296 verified reviews on G2
Connector downloads
156K+
open-source connector installs via npm
GitHub stars
231
the platform is open source — star it, fork it, self-host it
Available connectors11
Available connectors
S01 · Why teams pick OWOX
Why collect Twitter (X) Ads data into your warehouse with OWOX?
Your Twitter (X) Ads data shouldn’t be trapped in a platform you can’t query. OWOX collects it into your warehouse on autopilot — no per-connector fees, no vendor lock-in. The entire platform is open-source on GitHub, so you can self-host it today and never worry about losing access to your own data pipelines.
Collect to your warehouse
No per-connector pricing — connect as many sources as you need, all included
Zero-maintenance syncs
Fully open-source on GitHub — self-host anytime, no vendor lock-in, your data stays yours
Full-funnel joins
Full transparency and control — every query, every schema, every schedule is visible and auditable
How it works
R01 · Collect
Collect all your Twitter (X) Ads data with zero engineering
Pull everything your company needs from Twitter (X) Ads without touching code or maintaining custom scripts. OWOX Data Marts handle the heavy lifting.
- Your Twitter (X) Ads data is stored in one place – your own infrastructure. OWOX Data Marts automatically land your data into BigQuery, Snowflake, or Redshift.
- Your Twitter (X) Ads data lands on a schedule: clean, complete, and ready to re-use across reports, dashboards, BI tools, and spreadsheets.
- No API maintenance, no broken scripts — just reliable daily syncs
R02 · Report
Build reports with Twitter (X) Ads data that everyone trusts
Once your Twitter (X) Ads data lands in your warehouse, OWOX Data Marts make it instantly reusable across spreadsheets and BI tools.
- Pre-built data marts for campaign performance, spend, and conversions
- Join Twitter (X) Ads with CRM, GA4, and revenue data in one query
- Self-serve reporting for marketing teams — no analyst tickets needed
R03 · Visualize
Visualize Twitter (X) Ads data instantly in your BI tools
With OWOX Data Marts, your Twitter (X) Ads data becomes instantly available for charts, dashboards, pivots, and spreadsheets.
- Whether you use Google Sheets, Looker Studio, Excel, or Power BI, OWOX delivers clean, scheduled Twitter (X) Ads data that just works.
- Deliver to Looker Studio, Google Sheets, Power BI, or Excel automatically
- Same numbers everywhere — one source of truth for all stakeholders
S03 · Eight outcomes
Why use OWOX connectors to collect your Twitter (X) Ads data?
Eight outcomes you get the moment your data marts go live.
Full picture, one screen
Send X Ads spend and engagement into dashboards from one governed source — performance you keep regardless of API churn.
Beyond native dashboards
The X API changes often; in your warehouse your historical ad data survives whatever the platform does next.
Your questions, your reports
Build reports that answer your questions — CPA, ROAS, engagement cost — on your definitions, not X’s defaults.
Faster decisions, better data
Durable data means year-over-year comparisons hold even as the platform’s own reporting shifts.
Always fresh, always complete
OWOX Data Marts automate X Ads collection on a schedule — campaigns, ads, and spend — with no manual exports.
All sources, one warehouse
Merge X Ads with every other channel and revenue for one blended acquisition view.
Zero manual work
Automate transfer into BigQuery, Snowflake, or Redshift — governed and reusable across every report, saving time and removing errors.
Blended reports
Once X data lands in governed Data Marts, anyone can ask in their own AI chat — “what did X actually return last quarter?” — every number tracing to analyst-written SQL.
What users are saying
Not testimonials. Comment threads.
Real things real customers said — each quote pinned to a specific claim, straight from the quotes database.
Nodari RizunFounder & CEO, Pürblack®“AI, by the nature of the models, will hallucinate. And because of that, you need something which will create guardrails to ensure that there are no hallucinations, that you can trust your data.”
Mark SimmonsCMO, Pürblack®“We had six or seven different channels and no single source of truth — it was almost impossible, a lot of guesswork.”
Nodari RizunFounder & CEO, Pürblack®“We regained time. And time is the one resource that never comes back.”