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Campaign Monitor

Campaign Monitor is a Partner Data Source. Please see our Documentation to learn more about partner data sources.
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Sync Campaign Monitor data into Panoply

ETL the Modern Way. Get your data out of Campaign Monitor so you can analyze it.
Here’s a sample of the raw Campaign Monitor data that Panoply will replicate to your warehouse:
Campaign Bounces
Information about subscribers who bounced for a campaign, including type of bounce (hard or soft).
Campaign Clicks
Data on the subscribers who clicked a link in your email campaign including the data/time and IP address from which they clicked the link.
Campaign Email Client Usage
The email client subscribers use to open a campaign, including the email client version.
Campaign Opens
Information about subscribers who opened an email in your campaign, including the date and time and the IP address of the open.
Campaign Recipients
Information about the subscribers a campaign was sent to, including their email address and list memberships.
Campaign Spam Complaints
Data on subscribers who marked a campaign as spam.
Campaign Summary
Aggregate data about the results of any sent campaign, including the number of recipients, opens, clicks, and unsubscribes to date.
Campaign Unsubscribes
Data on the subscribers who unsubscribed from a given campaign's email.
Data about the campaigns in your Campaign Monitor account.
List Active Subscribers
Info about active subscribers for a particular email list, including email address, name, date subscribed and any custom field data.
List Bounced Subscribers
Data about bounced subscribers for a particular list, including email address, name, and bounce date.
List Deleted Subscribers
Info on deleted subscribers for a given list, including email address, name, data deleted, and any custom field data.
List Details
Summary information about the subscriber lists in your Campaign Monitor account, including name, ID, type of list (e.g., single or confirmed opt-in), any custom unsubscribe and confirmation URLs, and the list's unsubscribe setting.
List Unconfirmed Subscribers
Info about subscribers who have subscribed to a particular confirmed opt-in list but have not completed confirmation.
List Unsubscribed Subscribers
All unsubscribed subscribers for a given list, including email address, name, date unsubscribed, and any custom field data.
Summary info about all the lists in your Campaign Monitor account.

Modernizing Campaign Monitor ETL

What is ETL?

Integrating data for analytics can be especially hard in a fast-shifting, rapid growth startup environment, where relevant business data might be spread out across a collection of apps and spreadsheets. ETL (Extract, Transform, Load) tools will help you collect your data from APIs and file transfers (the Extract step), convert them into standardized analytics-ready tables (the Transform step) and put them all into a single data repository (the Load step) to centralize your analytics efforts.

The shift to ELT

The traditional ETL model is a relic of the pre-cloud era, when compute resources were expensive, and everything needed to be cleaned up before analysis. These days, moving the transformation step closer to the time of analysis is not only feasible, it’s desirable. ELT lets you load raw data, increasing your analytical flexibility and moving relevant data more quickly from your engineering team to your analytics and BI teams.

All in one Campaign Monitor data pipeline

Panoply’s 80+ data connectors and built-in automated cloud data warehouse will let you go from a collection of siloed datasets to sophisticated analyses that integrate your Campaign Monitor data in a matter of minutes. Panoply is the only tool that combines an ETL process with a data warehouse, giving you total control over your data from sync to storage. We’ll handle all the infrastructure so you can skip the engineering work and go straight to analysis with your favorite BI tool.

Get a feel for Panoply in action

Explore our interactive demo to discover everything you can do with your data.

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“ Panoply has given us drastic improvements in query speed and brought all our data in one place. Our visualizations in Looker are much more fast and efficient.
John Wessel - Freshwater Systems
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