Analyze your LinkedIn Ads data in Jupyter

Getting your data from LinkedIn 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 LinkedIn 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.

Try Panoply Free

How it works

Connect to LinkedIn Ads without complicated code.

Company check Share Creative Conversion Member Company Size Account Campaigns Campaign Group Serving Location Member Industry

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

See the LinkedIn Ads data Panoply collects

Connect to Jupyter and start analyzing in minutes.

Company check Share Creative Conversion Member Company Size Account Campaigns Campaign Group Serving Location Member Industry

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 LinkedIn 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 LinkedIn Ads in minutes

No matter your campaign goals, LinkedIn ads lets you set your own budget and create effective advertising that targets over 630 million active professionals to reach your ideal customer. Panoply makes it easy to load LinkedIn advertising data into your own cloud-based data warehouse using a simplified E-L-T approach that gives data analysts more flexibility and control.
Advertisers can collect ad performance and display targeting data directly from the LinkedIn Ads API without having to write a single line of code. Storing the data in Panoply also makes it easy to combine Linkedin Ads data with other advertising data sources for multi-channel analysis. Connect Panoply to any BI tool with an ODBC connection to visualize and analyze all your Linkedin Ads data. Setup takes minutes so you can spend more time optimizing and less time maintaining brittle data pipelines.

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

Our connectors

Other connectors with LinkedIn Ads

LinkedIn Ads +
Count
LinkedIn Ads +
Tableau
LinkedIn Ads +
Power BI
LinkedIn Ads +
Looker
LinkedIn Ads +
Luzmo
LinkedIn Ads +
Mode Analytics
LinkedIn Ads +
Panintelligence
LinkedIn Ads +
Metabase
LinkedIn Ads +
Looker Studio
LinkedIn Ads +
Redash
LinkedIn Ads +
Apache Superset
LinkedIn Ads +
SeekWell
LinkedIn Ads +
Amazon QuickSight
LinkedIn Ads +
Domo
LinkedIn Ads +
Grafana
LinkedIn Ads +
Qlik
LinkedIn Ads +
Trevor.io
LinkedIn Ads +
Draxlr
LinkedIn Ads +
Apache Zeppelin
LinkedIn Ads +
Birst
LinkedIn Ads +
CARTO
LinkedIn Ads +
Databricks
LinkedIn Ads +
GoodData
LinkedIn Ads +
Holistics
LinkedIn Ads +
IBM Cognos
LinkedIn Ads +
Jupyter
LinkedIn Ads +
Klipfolio
LinkedIn Ads +
KNIME
LinkedIn Ads +
MicroStrategy
LinkedIn Ads +
Pentaho
LinkedIn Ads +
Plotly
LinkedIn Ads +
PopSQL
LinkedIn Ads +
Julia
LinkedIn Ads +
Pandas
LinkedIn Ads +
Python
LinkedIn Ads +
SQL
LinkedIn Ads +
R
LinkedIn Ads +
Shiny
LinkedIn Ads +
ThoughtSpot
LinkedIn Ads +
TIBCO Spotfire X
LinkedIn Ads +
Yellowfin
LinkedIn Ads +
Zoho Analytics
LinkedIn Ads +
Amazon DynamoDB
LinkedIn Ads +
Amazon S3
LinkedIn Ads +
AppsFlyer
LinkedIn Ads +
Asana
LinkedIn Ads +
BigCommerce
LinkedIn Ads +
BigQuery
LinkedIn Ads +
Bing Ads
LinkedIn Ads +
CSV
LinkedIn Ads +
Delighted
LinkedIn Ads +
Elasticsearch
LinkedIn Ads +
Facebook Ads
LinkedIn Ads +
Facebook Pages
LinkedIn Ads +
Facebook Posts
LinkedIn Ads +
Google Ads
LinkedIn Ads +
Google Analytics
LinkedIn Ads +
Google Cloud Storage
LinkedIn Ads +
Google Drive
LinkedIn Ads +
Google Search Console
LinkedIn Ads +
Google Sheets
LinkedIn Ads +
HubSpot
LinkedIn Ads +
Instagram for Business
LinkedIn Ads +
Intercom
LinkedIn Ads +
Jira
LinkedIn Ads +
JSON
LinkedIn Ads +
Klaviyo
LinkedIn Ads +
MailChimp
LinkedIn Ads +
Microsoft Excel
LinkedIn Ads +
Microsoft OneDrive
LinkedIn Ads +
Microsoft SQL Server
LinkedIn Ads +
MongoDB
LinkedIn Ads +
MySQL
LinkedIn Ads +
NetSuite
LinkedIn Ads +
Pardot
LinkedIn Ads +
PostgreSQL
LinkedIn Ads +
Quickbooks
LinkedIn Ads +
Redshift
LinkedIn Ads +
Salesforce
LinkedIn Ads +
SFTP
LinkedIn Ads +
Shopify
LinkedIn Ads +
Square
LinkedIn Ads +
Stripe
LinkedIn Ads +
Twilio
LinkedIn Ads +
Twitter Ads
LinkedIn Ads +
Twitter
LinkedIn Ads +
Upload Data
LinkedIn Ads +
WooCommerce
LinkedIn Ads +
Wordpress
LinkedIn Ads +
Xero
LinkedIn 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
Jupyter +
WooCommerce
Jupyter +
Asana
Jupyter +
Intercom
Jupyter +
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
Jupyter +
Braintree Payments
Jupyter +
Branch
Jupyter +
BranchTrack
Jupyter +
Campaign Monitor
Jupyter +
CaptivateIQ
Jupyter +
Chargebee
Jupyter +
Clari
Jupyter +
Close
Jupyter +
Codat
Jupyter +
Contact Pigeon
Jupyter +
Contentful
Jupyter +
Crashlytics
Jupyter +
Criteo
Jupyter +
Customer.io
Jupyter +
Desk
Jupyter +
Drip
Jupyter +
Dropbox
Jupyter +
EasyPayDirect
Jupyter +
Eloqua
Jupyter +
Enchant
Jupyter +
FormKeep
Jupyter +
Freshdesk
Jupyter +
Front
Jupyter +
GitHub
Jupyter +
GitLab
Jupyter +
Google Cloud SQL Postgres
Jupyter +
Google Analytics Ecommerce
Jupyter +
Google Cloud SQL MySQL
Jupyter +
Grin
Jupyter +
Harvest Forecast
Jupyter +
Harvest
Jupyter +
Help Scout
Jupyter +
Heroku Postgres
Jupyter +
IBM DB2
Jupyter +
Invoiced
Jupyter +
Iterable
Jupyter +
Kandji
Jupyter +
LeafLink
Jupyter +
Lever
Jupyter +
Magento
Jupyter +
Mailjet
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MariaDB
Jupyter +
Marketo
Jupyter +
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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Pipedrive
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Pivotal Tracker
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QuickBase
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Rakuten
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Recharge
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Recurly
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Reddit
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Referral SaasQuatch
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RingCentral
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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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Spree Commerce
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Taboola
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Teachable
Jupyter +
TikTok
Jupyter +
Tray.io
Jupyter +
Trello
Jupyter +
Typeform
Jupyter +
Urban Airship
Jupyter +
Vero
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Webhooks
Jupyter +
Zapier
Jupyter +
Zendesk Chat
Jupyter +
Zendesk Sell
Jupyter +
Zoho CRM
Jupyter +
Zoom
Jupyter +
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.