Devart Excel Add-in for Marketo
Connect MS Excel to Marketo with Devart Excel Add-in and work with Marketo data like with usual Excel workbooks
Devart Excel Add-in for Marketo makes it easy to load Marketo data to Excel. It allows you to instantly refresh these data from Marketo, easily perform data cleansing and de-duplication, and apply all the Excel's powerful data processing and analysis functionality to Marketo data.
Connect to Marketo Directly from Excel
To connect Excel to Marketo you just need to specify your Marketo domain, client id, and client secret.Connection information may optionally be stored in the Excel file, or you may reenter it whenever necessary.
Use Query Builder or SQL to Import Data You Need
Visual Query Builder allows you to choose a table to import data from, select the columns from this table and related tables, and set filter conditions and data ordering options visually. If you need to select data more precisely, you can use SQL to select data you need.
Devart Excel Add-in for Marketo provides advanced SQL support for Marketo, and allows you to use complex SQL queries to get exactly the data you need.
Instantly Refresh Data Whenever You Need
It's very convenient to always have fresh data from Marketo right in your workbook. Imagine, you have performed data analysis in your Excel workbook, built some charts for your Marketo data, and you can re-read data from the source and update all this to the current state by just clicking a button on the ribbon whenever you need.
Edit Marketo Data Like Usual Excel Spreadsheets
To edit Marketo data in Excel you need just to click the Edit Mode button on the ribbon before editing, and then you can edit data just like you usually do it - add or delete rows, modify cell values, etc. All the changes are highlighted so you can easily see which data is changed.
After you finish editing, simply click Commit to write changes to Marketo or Rollback to cancel changes.
Instant Data Validation
Devart Excel Add-in for Marketo instantly validates entered data and highlights errors, such as incorrect dates, duplicate primary key values, etc.
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