Analyze your Twitter Ads data in Jupyter

Getting your data from Twitter Ads to Jupyter 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 Jupyter 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.

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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 Jupyter 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 Jupyter 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 Jupyter 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

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

Integrate with Jupyter in minutes

You live in Jupyter Notebooks for analytics and prototyping and you love the flexibility and expressiveness of Python, Pandas, R and Julia, but your business users need the ease of a user-friendly BI tool. Supporting both is no problem with Panoply. We make it easy to sync data from 30+ data sources to multiple analytics tools, no code required. 

Along with eliminating tedious setup and maintenance, Panoply’s built-in storage makes your queries faster, your pipelines more robust, and ensures that all your reporting is based on a single source of truth. Don’t choose between the open source tool you love and the BI tool the rest of the company can’t live without—power both with Panoply.

Learn more:
Documentation

Our connectors

Other connectors with Jupyter

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

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Frequently Asked Questions

How do I connect to my data?
To analyze 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 unlimited access to our data connectors, Panoply makes it possible to create an integrated view of your entire business. Everyone in your organization can share this single source of truth across any BI tool or analytical notebook with unlimited queries from unlimited users.

Technically speaking, Panoply provides the ETL (Extract, Transform, Load) and data warehouse functionality in one platform with the added benefit of simple role-based data governance, the security of AWS infrastructure, and SOC-2 and GDPR compliance.