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How do I find no-reply addresses to block?

Some senders, like noreply@ and donotreply@ addresses, send lots of emails that never need a reply. They make your numbers look worse. This guide shows how to find them and leave them out of your reports.

1. Download the unreplied conversations

Section titled “1. Download the unreplied conversations”
  1. Click Conversations in the left-hand menu.
  2. Choose the last 1 to 3 months in the date picker.
  3. Keep Show report for set to My Company and When communicating with set to Anybody.
  4. Click Filters. On the General tab:
    • Conversation status: only tick Awaiting mailbox response.
    • Conversation type: untick Outbound.
    • Replies and forwards: only tick Has no replies or forwards.
  5. On the Duration tab, set Messages with no reply over to 48:00 (48 hours on the clock).
  6. Click Close, then click Download and choose Excel (xlsx), Excel (xls) or CSV. The file downloads in your browser.

2. Find the senders in a spreadsheet

Section titled “2. Find the senders in a spreadsheet”
  1. Open the file and create a pivot table:
    • Put From in Rows.
    • Put Messages in Values.
  2. Right-click the Sum of Messages column and choose Sort → Largest to Smallest. The senders with the most unreplied emails are now at the top.
  3. To find no-reply addresses, sort the senders A to Z, or use a Text Filter to search for noreply, donotreply and similar words.

3. Make a CSV file of the addresses

Section titled “3. Make a CSV file of the addresses”
  1. Copy the addresses you want to block.
  2. Paste them into column A of a new spreadsheet, with no header row.
  3. Save it as CSV (Comma delimited) (.csv).

4. Block the addresses

Section titled “4. Block the addresses”
  1. Click your name in the bottom-left corner and select Settings.
  2. Go to Global Filters and open the Blocked email addresses tab.
  3. Click Select File and choose your CSV file.
  4. Click Block email addresses from CSV.

Emails from those addresses are now left out of your reports. Repeat this every so often to keep your reports clean.

For more on blocking, see How do I use Global Filters to control my data?