Reviews Export

Download the filtered data from the Aggregate View of Inbox

Kate avatar
Written by Kate
Updated over a week ago

Our previous updates to Insights, Location Insights and Review Performance Analytics, help identify trends in your online reputation and monitor customer satisfaction coming from interaction with your brand.

But bigger companies may need to take a closer look at their Inbox activities to zoom in on context and share it with the team and stakeholders. With this in mind, we enable users of our Multi-location plan to slice their conversational data and export specific fragments as a CSV file. They just need to filter it with Custom View, select the social media, conversation type, time period, and click the “Export” button. Voilà!

Depending on the filters selected (the amount of data selected), the .csv file will be prepared for download within a few seconds, depending on the filters selected (the amount of data selected). Next, you should receive an email to your account address to export the CSV file. You can save it on your computer and open it in Excel, Google Spreadsheets, etc.

How to import the file into Microsoft Excel?

Here is a step-by-step guide on how to import a TXT or CSV file into Excel, similar to Excel 2007, 2010, 2013, and 2016:

  1. Open the Excel spreadsheet where you want to save the data and click the Data tab.

  2. In the Get External Data group, click From Text.

  3. Select the TXT or CSV file you want to convert and click Import.

    Insert Button

  4. Select "Delimited". A delimiter is just a fancy way of saying that your TXT file uses tabs or your CSV file uses commas to separate and group your data.

  5. Click Next.

    Delimited Option and Next Button

  6. Select the delimiter - “Comma”. It is the standard delimiter that groups the data into individual columns in a CSV file.

7. Click Next.

8. Select "General" in the next Tab.

9. Click Finish. The Data will be shown in a table split into columns.

10. You can create any kind of Pivot tables with aggregated data per page, per location, per social type, etc.

Inbox Data File Structure

Column Name




Name of the Location

101XX - Texas


Internal ID of the social page



Name of the Social Page

Texas-Main (123 Cameron Road, Austin, TX, US, 78723)


The link to the social page


Type of the conversation (rating, direct message, comment etc.)



The message sent from the user

Very busy, but nice service!


Time of the message sent



Reply to the message

Thanks for the great review!


Time of the reply



Indication of whether the message was read in the system



Indication of whether the message was checked as reviewed in the system



Time of conversation created in the system (mostly same as time of created message)



Time of conversation updated in the system



Time of conversation responded in the system (mostly same as time of reply message)



Tags in the location

Central, Texas, John Smith

We hope this guide was helpful.

If you have any additional questions regarding your login change, please reach out to us at [email protected].

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