Analyze your Twitter Ads data in Python

Getting your data from Twitter Ads to Python can be a pain. Managing pipelines for all your data sources just isn’t sustainable, but your reporting can’t be put on hold while you wait for IT or Engineering to get to your ticket.

With Panoply, you can eliminate that hassle—and all that wasted time. Set up code-free connections to both Twitter Ads and Python with just a few clicks. Then Panoply will automatically sync your data so it’s ready to analyze when you are.

It’s that simple: Unblock your data with Panoply.

Try Panoply Free

How it works

Connect to Twitter Ads without complicated code.

Accounts check Funding Instruments Promoted Tweets Campaigns Line Items User Timeline

Automatically sync and store the data you want with table-level control.

See the Twitter Ads data Panoply collects

Connect to Python and start analyzing in minutes.

Accounts check Funding Instruments Promoted Tweets Campaigns Line Items User Timeline

Get started

for free

Free 21-Day Proof of Value

Query-ready data with just a few clicks

Seamlessly update all your Python reports and dashboards without lifting a finger. Set it up in minutes, then let Panoply handle the rest.
Try Panoply Free
Code-free data pipeline
Easily connect Twitter Ads and all your other data sources with automated integrations that take pipeline management off your to-do list.
See all data source integrations
Fuel your analytics
Power BI and analytical tools like Python with fresh data so your whole team can discover insights that drive your business forward.
See all BI tool integrations

Integrate with Twitter Ads in minutes

Managing, optimizing, and reporting on Twitter advertising is easier than ever with Panoply. Twitter Ads, the on-site advertising service on the Twitter platform, provides a wealth of data for analysts and marketers. Panoply stores this data directly onto the Panoply Smart Data Warehouse, where it can be analyzed and combined with all other advertising or data sources. Panoply’s end to end data management platform then makes it possible for companies to extract, query, report, and monitor Twitter ad data. This helps you analyze how advertisements are performing, develop more effective campaigns, and identify new social media marketing opportunities all instantly from within the Panoply platform.

Learn more:
Documentation
Twitter Ads Data Warehousing
Twitter Ads Business Intelligence

Our connectors

Other connectors with Twitter Ads

Twitter Ads +
Count
Twitter Ads +
Tableau
Twitter Ads +
Power BI
Twitter Ads +
Looker
Twitter Ads +
Luzmo
Twitter Ads +
Mode Analytics
Twitter Ads +
Panintelligence
Twitter Ads +
Metabase
Twitter Ads +
Looker Studio
Twitter Ads +
Redash
Twitter Ads +
Apache Superset
Twitter Ads +
SeekWell
Twitter Ads +
Amazon QuickSight
Twitter Ads +
Domo
Twitter Ads +
Grafana
Twitter Ads +
Qlik
Twitter Ads +
Trevor.io
Twitter Ads +
Draxlr
Twitter Ads +
Apache Zeppelin
Twitter Ads +
Birst
Twitter Ads +
CARTO
Twitter Ads +
Databricks
Twitter Ads +
GoodData
Twitter Ads +
Holistics
Twitter Ads +
IBM Cognos
Twitter Ads +
Jupyter
Twitter Ads +
Klipfolio
Twitter Ads +
KNIME
Twitter Ads +
MicroStrategy
Twitter Ads +
Pentaho
Twitter Ads +
Plotly
Twitter Ads +
PopSQL
Twitter Ads +
Julia
Twitter Ads +
Pandas
Twitter Ads +
Python
Twitter Ads +
SQL
Twitter Ads +
R
Twitter Ads +
Shiny
Twitter Ads +
ThoughtSpot
Twitter Ads +
TIBCO Spotfire X
Twitter Ads +
Yellowfin
Twitter Ads +
Zoho Analytics
Twitter Ads +
Amazon DynamoDB
Twitter Ads +
Amazon S3
Twitter Ads +
AppsFlyer
Twitter Ads +
Asana
Twitter Ads +
BigCommerce
Twitter Ads +
BigQuery
Twitter Ads +
Bing Ads
Twitter Ads +
CSV
Twitter Ads +
Delighted
Twitter Ads +
Elasticsearch
Twitter Ads +
Facebook Ads
Twitter Ads +
Facebook Pages
Twitter Ads +
Facebook Posts
Twitter Ads +
Google Ads
Twitter Ads +
Google Analytics
Twitter Ads +
Google Cloud Storage
Twitter Ads +
Google Drive
Twitter Ads +
Google Search Console
Twitter Ads +
Google Sheets
Twitter Ads +
HubSpot
Twitter Ads +
Instagram for Business
Twitter Ads +
Intercom
Twitter Ads +
Jira
Twitter Ads +
JSON
Twitter Ads +
Klaviyo
Twitter Ads +
LinkedIn Ads
Twitter Ads +
MailChimp
Twitter Ads +
Microsoft Excel
Twitter Ads +
Microsoft OneDrive
Twitter Ads +
Microsoft SQL Server
Twitter Ads +
MongoDB
Twitter Ads +
MySQL
Twitter Ads +
NetSuite
Twitter Ads +
Pardot
Twitter Ads +
PostgreSQL
Twitter Ads +
Quickbooks
Twitter Ads +
Redshift
Twitter Ads +
Salesforce
Twitter Ads +
SFTP
Twitter Ads +
Shopify
Twitter Ads +
Square
Twitter Ads +
Stripe
Twitter Ads +
Twilio
Twitter Ads +
Twitter
Twitter Ads +
Upload Data
Twitter Ads +
WooCommerce
Twitter Ads +
Wordpress
Twitter Ads +
Xero
Twitter Ads +
Zendesk

Integrate with Python in minutes

Love the power of Python for analytics and machine learning but need a way to support it alongside other BI tools? Panoply makes it easy to pipe data to multiple analytics tools with 30+ code-free connectors you can set up in minutes.

Along with eliminating API configuration and maintenance, Panoply automatically stores a copy of your data in the cloud, making your queries faster and more stable. Plus, by powering all your BI and analytics tools with the same centralized data you can ensure that key metrics are consistent across the company, no matter who’s doing the reporting.

Learn more:
Documentation

Our connectors

Other connectors with Python

Python +
Salesforce
Python +
HubSpot
Python +
PostgreSQL
Python +
MySQL
Python +
MongoDB
Python +
Amazon S3
Python +
Facebook Ads
Python +
Google Ads
Python +
Google Analytics
Python +
Shopify
Python +
Zendesk
Python +
Google Sheets
Python +
JSON
Python +
Microsoft Excel
Python +
Twitter
Python +
BigQuery
Python +
CSV
Python +
Google Search Console
Python +
Instagram for Business
Python +
LinkedIn Ads
Python +
Stripe
Python +
Xero
Python +
BigCommerce
Python +
Twitter Ads
Python +
WooCommerce
Python +
Asana
Python +
Intercom
Python +
Amazon DynamoDB
Python +
AppsFlyer
Python +
Bing Ads
Python +
Delighted
Python +
Elasticsearch
Python +
Facebook Pages
Python +
Facebook Posts
Python +
Google Cloud Storage
Python +
MailChimp
Python +
Microsoft SQL Server
Python +
Pardot
Python +
Redshift
Python +
Twilio
Python +
Upload Data
Python +
Wordpress
Python +
Google Drive
Python +
Jira
Python +
Klaviyo
Python +
Microsoft OneDrive
Python +
NetSuite
Python +
Quickbooks
Python +
SFTP
Python +
Square
Python +
AdRoll
Python +
AfterShip
Python +
Amazon Ads
Python +
Amazon Aurora PostgreSQL
Python +
Amazon Cloudfront
Python +
Amazon Kinesis Firehose
Python +
Amazon Marketplace
Python +
Amazon Seller
Python +
Apple App Store
Python +
Apple Search Ads
Python +
Autopilot
Python +
Azure Blob Storage
Python +
Braintree Payments
Python +
Branch
Python +
BranchTrack
Python +
Campaign Monitor
Python +
CaptivateIQ
Python +
Chargebee
Python +
Clari
Python +
Close
Python +
Codat
Python +
Contact Pigeon
Python +
Contentful
Python +
Crashlytics
Python +
Criteo
Python +
Customer.io
Python +
Desk
Python +
Drip
Python +
Dropbox
Python +
EasyPayDirect
Python +
Eloqua
Python +
Enchant
Python +
FormKeep
Python +
Freshdesk
Python +
Front
Python +
GitHub
Python +
GitLab
Python +
Google Cloud SQL Postgres
Python +
Google Analytics Ecommerce
Python +
Google Cloud SQL MySQL
Python +
Grin
Python +
Harvest Forecast
Python +
Harvest
Python +
Help Scout
Python +
Heroku Postgres
Python +
IBM DB2
Python +
Invoiced
Python +
Iterable
Python +
Kandji
Python +
LeafLink
Python +
Lever
Python +
Magento
Python +
Mailjet
Python +
MariaDB
Python +
Marketo
Python +
Mavenlink
Python +
Maverick Payments
Python +
Maxio
Python +
Optimizely
Python +
Oracle Database
Python +
Particle
Python +
Payline
Python +
PayPal
Python +
Pinterest
Python +
Pipedrive
Python +
Pivotal Tracker
Python +
QuickBase
Python +
Rakuten
Python +
Recharge
Python +
Recurly
Python +
Reddit
Python +
Referral SaasQuatch
Python +
RingCentral
Python +
Sailthru
Python +
Salesforce Marketing Cloud
Python +
Selligent
Python +
SendGrid
Python +
Sendwithus
Python +
SentinelOne
Python +
Shippo
Python +
Sparkpost
Python +
SphereWMS
Python +
Spree Commerce
Python +
Taboola
Python +
Teachable
Python +
TikTok
Python +
Tray.io
Python +
Trello
Python +
Typeform
Python +
Urban Airship
Python +
Vero
Python +
Webhooks
Python +
Zapier
Python +
Zendesk Chat
Python +
Zendesk Sell
Python +
Zoho CRM
Python +
Zoom
Python +
Zuora

Try It Now

Start syncing your data to now. Free 21-Day Proof of Value.

Try Panoply Free Request Demo

Free 21-Day Proof of Value. No credit card required.

Frequently Asked Questions

How do I connect to my data?
To start analyzing your data in , you’ll first create a connection to Panoply. Panoply stores a replica of your data and syncs it so it’s always up-to-date and ready for analysis. You can connect to your data in Panoply via an ODBC connection.
What data can I integrate with ?
Panoply allows you to integrate with multiple data sources including all major CRMs, databases, file systems, ad networks, analytics platforms, and finance tools. All of your data is stored in ready-to-analyze tables that can be joined together with SQL or merged in your BI tools. Integrating data for cross-channel advertising analysis, full-funnel conversion analysis, and CAC vs LTV analysis has never been so easy.
What is Panoply?
Panoply is a secure place to sync, store, and access all your business data. With our data connectors, Panoply transforms scattered data into a single source of truth that’s accessible to your entire team via any BI tool or analytical notebook. Run as many queries as you’d like and add as many users as you need for one transparent price.

Technically speaking, Panoply combines user-friendly ETL (Extract, Transform, Load) data pipelines and data warehouse functionality in one platform. Get the control you need with simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.