Every metric & dimension
Pull the full X Ads (formerly Twitter) field set - not just a fixed preset - so your reports and models are never missing a metric or breakdown.
X Ads (formerly Twitter)
X Ads (formerly Twitter)
Marketing AnalyticsDataddo pulls the full X Ads (formerly Twitter) metric and dimension set and delivers it wherever your team needs it - into AI tools and agents, straight to Looker Studio, Power BI, and Tableau, or into Snowflake, BigQuery, and your CRM and ad tools. Blend it with every other channel, backfill full history, and keep it fresh on your schedule - all fully managed, with the data plane running where you choose. No pipelines to build, no lock-in.
YOUR MARKETING SOURCE OF TRUTH
Turn X Ads (formerly Twitter) into reporting your whole team trusts
Marketing data is only useful when it's complete, clean, and current. Dataddo extracts the full X Ads (formerly Twitter) field set, governs it, and serves it to every dashboard, warehouse, and tool - continuously and without manual exports.
Blend across channels
Combine X Ads (formerly Twitter) with your other paid, organic, CRM, and sales sources so cross-channel performance lives in one place.
Backfill full history
Load historical X Ads (formerly Twitter) data beyond the platform's native retention window, so trends and year-over-year comparisons hold up.
Model & clean before load
Normalize currencies, time zones, and naming, and let the Data Quality Firewall stop bad rows before X Ads (formerly Twitter) data reaches your reports.
Fresh on your schedule
Incremental, scheduled syncs keep X Ads (formerly Twitter) data current - as often as hourly - without manual exports or full reloads.
Governed & monitored
Delivery alerts and quality checks catch gaps in X Ads (formerly Twitter) data early, so dashboards and models never silently break.
DATASETS
What you can pull from X Ads (formerly Twitter)
The X Ads (formerly Twitter) connector provides a list of curated datasets - ready-made sets of metrics, dimensions, and attributes you can extract on a schedule. Need something specific? Any dataset can be forked and customized, or built from scratch, with our Universal Connector.
List of curated datasets
IDid
string
accountId
string
Segmentsegment
string
Date Startdate_start
datetime
Date Stopdate_stop
datetime
Impressionsimpressions
integer
Tweet Sendtweets_send
integer
Qualified Impressionsqualified_impressions
integer
Followsfollows
integer
App Clicksapp_clicks
integer
Retweetsretweets
integer
Likeslikes
integer
Engagementsengagements
integer
Clicksclicks
integer
Card Engagementscard_engagements
integer
Poll Card Votepoll_card_vote
integer
Repliesreplies
integer
URL Clicksurl_clicks
integer
Carousel Swipescarousel_swipes
integer
Need a dataset, metric, or attribute you don't see?
Tell us what's missing and we'll add it to the connector.
WITH VS. WITHOUT
Who carries the load when things change
Keep X Ads (formerly Twitter) data flowing to every dashboard, warehouse, and tool - and see who owns it when an API or schema changes:
| Without Dataddo |
With Dataddo
|
Outcome for you | |
|---|---|---|---|
| API or auth change | You discover the breakage and scramble to fix it. | We update the connector and restore the pipeline - often before you notice. | Syncs from X Ads (formerly Twitter) keep flowing |
| Schema drift | Columns change and pipelines break or corrupt data silently. | Detected automatically and handled by configurable rules. | Only clean X Ads (formerly Twitter) data lands in reports |
| Endpoint deprecated | You re-engineer the integration. | We own the update - the data contract holds. | Your X Ads (formerly Twitter) reporting keeps working |
| Missing connector | You build and maintain a custom integration. | We build it and maintain it, under a ~4-week SLA. | Any X Ads (formerly Twitter) metric you need, on request |
| Silent degradation | You find out when a report or model run fails. | Proactive monitoring catches anomalies and delays first. | Gaps caught before dashboards break |
| Debugging | You dig through logs across disconnected tools. | Run histories, payload inspection, and end-to-end lineage in one place. | Faster root-cause, fewer reporting gaps |
Data residency by design
Choose where X Ads (formerly Twitter) data is processed - same cloud, region, or sovereign
X Ads (formerly Twitter) is a cloud API, so the question isn't on-prem vs cloud - it's which region your data flows through. With Dataddo you run the data plane in the region you choose, so X Ads (formerly Twitter) payloads move straight to your destinations without transiting a third-party SaaS. Pin it to an EU or US region for compliance, or self-host when a downstream target lives inside your own network.
| Data Plane location | Typical data sensitivity | Why this setup |
|---|---|---|
|
Public cloud 
AWS
Microsoft Azure
Google Cloud
|
Low to moderate - general business, marketing, and product data; sources that are already cloud-native. | Fastest to stand up and scales elastically. Best when the data has no residency restriction and often already lives in the same public cloud. |
|
Regional & EU sovereign clouds
EU sovereign clouds
Regional providers
Private cloud
|
Regulated / residency-bound - PII, financial, and health data governed by GDPR or local law. | Keeps processing inside a specific jurisdiction to meet data-residency and sovereignty rules, while still running as managed infrastructure. |
|
On-premises 
Kubernetes
Red Hat OpenShift
VMware Tanzu
|
Highly sensitive / restricted - data that contractually or legally cannot leave the corporate perimeter. | Data never leaves your network. Required for air-gapped, classified, or locked-down environments; the Control Plane still manages it via metadata only. |
DATA DELIVERY
Every way to deliver X Ads (formerly Twitter) data
Marketing data rarely has one home. Dataddo feeds X Ads (formerly Twitter) into AI and agents, loads it into your warehouse for modeling, activates audiences back into ad and CRM tools, and delivers files to storage - all governed the same way.
| Transport type | What it does | Typical destinations | Typical business use cases |
|---|---|---|---|
| Data to AI & Agents | Feed X Ads (formerly Twitter) data into vector databases, LLMs, and AI agents so they can reason over your marketing data. | Load X Ads (formerly Twitter) data into vector stores like Pinecone or Weaviate for retrieval-augmented generation, Give AI agents and copilots governed access to live X Ads (formerly Twitter) metrics | |
| ETL / ELT to your warehouse | Load X Ads (formerly Twitter) metrics and dimensions into your warehouse for modeling and cross-channel analytics. | Centralize X Ads (formerly Twitter) alongside every other channel in Snowflake, BigQuery, or Redshift, Backfill X Ads (formerly Twitter) history beyond the platform's native retention window | |
| Activate audiences & conversions | Push segments and offline conversions built from X Ads (formerly Twitter) data back into ad and CRM platforms. | Send modeled audiences from X Ads (formerly Twitter) to ad platforms for targeting and suppression, Return offline or downstream conversions to optimize X Ads (formerly Twitter) campaigns | |
| Files to storage & partners | Deliver raw or modeled X Ads (formerly Twitter) extracts to object storage and partners. | Archive raw X Ads (formerly Twitter) exports to S3, GCS, or Azure storage, Send scheduled X Ads (formerly Twitter) report extracts to clients over SFTP |
Claude
OpenAI
Gemini
Mistral AI
Snowflake
BigQuery
Amazon Redshift
PostgreSQL
Google Ads
Meta
HubSpot
Salesforce
Google Cloud Storage
Azure Blob Storage
SFTP
Case Studies
See what data teams build with Dataddo
65,000 Social Media Accounts. One Platform. Zero Manual Authorizations.
Beauty & Consumer Goods
How Livesport Activates Data, Saves Engineering Resources with BigQuery and Dataddo
Entertainment
How ID&T Group Activates Data from 1M+ Festival Fans and Dozens of Social Accounts
Entertainment
How Sensire Accelerated Migration of a Proprietary On-Premise Data Infrastructure to the Cloud with Dataddo
Healthcare
How Ringside.ai Builds a Data Product Better and Faster Using Dataddo
Marketing
How Publicis Groupe Brasil Uses Dataddo's API to Scale a Data Product
Advertising
FAQ
X Ads (formerly Twitter) as a source + Dataddo, answered
Where can I send X Ads (formerly Twitter) data?
To any of Dataddo's 150+ destinations - BI dashboards like Looker Studio, Power BI, and Tableau, warehouses like Snowflake and BigQuery, CRMs, ad platforms, object storage, and AI or vector stores - plus custom destinations on request.
Do I have to maintain the pipeline?
No. Dataddo is fully managed: we maintain the X Ads (formerly Twitter) connector, adapt to API and schema changes, and alert you if anything needs attention. There is no pipeline code for you to write or fix.
Can I send X Ads (formerly Twitter) data to a dashboard without a warehouse?
Yes. Dataddo can deliver X Ads (formerly Twitter) data straight to Looker Studio, Power BI, or Tableau, so you can start reporting without standing up a warehouse first. When you're ready to model across channels, point the same pipeline at Snowflake, BigQuery, or Redshift - no rebuild.
What if X Ads (formerly Twitter) changes their API?
That's on us, not you. Dataddo's team proactively tracks X Ads (formerly Twitter) API and schema changes and updates the connector before they break your pipeline. Continuous monitoring watches every sync, and if anything needs attention you get an alert - so your X Ads (formerly Twitter) data keeps flowing without you touching a thing.
Which X Ads (formerly Twitter) metrics and dimensions are available?
The full X Ads (formerly Twitter) API surface - every metric, dimension, and breakdown, not a fixed subset. If a field you need isn't exposed yet, we add it on request, usually at no extra cost.
How is my data secured?
Dataddo is SOC 2 Type II and ISO 27001 certified. Data is encrypted in transit and at rest, PII can be masked or hashed, and EU or US data residency is available. Self-host the data plane and payload data never leaves your network.
Will API rate limits or sampling be a problem?
Dataddo handles X Ads (formerly Twitter) pagination, rate limits, and retries for you, and pulls incrementally on a schedule so you stay within quota. Where the platform samples data, we fetch at the most granular level available to keep reports accurate.
Am I locked in?
No. Pipelines are source- and destination-agnostic - you can add or switch destinations without rebuilding, and data lands in native formats you own.