How to Export and Analyze Email Verification Results from Usebouncer Dashboards

If you’re managing email lists, sooner or later you’ll have to figure out which addresses are real, which are junk, and which are ticking time bombs for your sender reputation. That’s where tools like Usebouncer come in. But even after you run your email verification, you’re left staring at a dashboard and a pile of results. What do you actually do with them? How do you get them out of the dashboard and into something you can use? And do you really need to pay attention to every single column?

This guide is for anyone who’s used Usebouncer to clean up their email list (or is about to) and wants to get real about exporting the results and actually making sense of them—without getting lost in the weeds.


Step 1: Getting Your Email Verification Results Ready to Export

Before you even think about exporting, make sure your verification job is done. Usebouncer processes lists in batches, and if you hit “export” before it’s finished, you’ll get incomplete (and totally useless) data.

Checklist before exporting: - Make sure your latest verification job says “Completed” in Usebouncer. - Double-check the number of verified emails matches your expectations. - If you’re working with a huge list, give it a minute—don’t rush.

Pro tip: If you’re running multiple jobs, name them clearly (“Q2 Newsletter List” beats “List_2024_06”) so you know what you’re exporting later.


Step 2: Exporting Results from the Usebouncer Dashboard

Usebouncer doesn’t make exporting difficult, but there are a few options to watch for. Here’s how to get your data out:

  1. Log into Usebouncer and go to your Dashboard.
  2. Find your verification job in the list. Click on it to open the results.
  3. Look for the “Export” button. It’s usually at the top or next to your job’s summary.
  4. Choose your format: CSV is the default (and best for most cases). Excel (XLSX) is also available if you’re more comfortable there.
  5. Select what to export:
  6. All results (everything, including valid, invalid, risky, unknown)
  7. By status (just valid, just invalid, etc.)

Most people want all results so they can filter later, but if you only care about valid emails, you can save time by exporting just those.

  1. Download the file. It’ll land in your Downloads folder or wherever your browser puts things.

What works: Usebouncer’s exports are clean and straightforward. You don’t get bombarded with random extra columns.

What doesn’t: Don’t expect fancy integrations or direct exports to external tools like Google Sheets or CRMs from the dashboard. You’ll need to do that manually.


Step 3: Understanding What’s in Your Exported File

Open up your CSV or Excel file. You’ll see something like this:

| email | status | sub_status | reason | domain | ... | |----------------------|----------|----------------------|---------------|----------------|-----| | bob@email.com | valid | deliverable | | email.com | ... | | fake123@gmail.com | invalid | mailbox_not_found | hard_bounce | gmail.com | ... | | risky@weirdsite.biz | risky | catch_all | unknown | weirdsite.biz | ... |

Key columns to pay attention to:

  • email: The actual address you checked.
  • status: The big picture—valid, invalid, risky, or unknown.
  • sub_status: More detail on why something’s “risky” or “invalid.” This is where you’ll see things like “catch_all,” “mailbox_not_found,” etc.
  • reason (sometimes called “detail”): Explains the status in plain language. Not always filled out.
  • domain: The domain part of the email address; handy for spotting patterns.

Columns you can usually ignore: - Timestamps, raw response codes, or internal IDs—unless you’re troubleshooting or need audit trails.

Honest take: Don’t obsess over every column. Most of the time, “status” and “sub_status” are what you’ll actually use to clean your list.


Step 4: Analyzing the Results—What to Keep, What to Ditch

Here’s where most people overthink things. You don’t need to run a full-blown data science project on your list. Focus on these basics:

The Main Statuses

  • valid: Good to go. Safe to email.
  • invalid: Bounce risk. Remove from your main list.
  • risky: Tricky. These could be “catch_all” domains, full mailboxes, or other edge cases. Some marketers keep these, others don’t.
  • unknown: Couldn’t verify. Not common, but proceed with caution.

How to Filter

Open your file in Excel, Google Sheets, or your tool of choice. Filter by the “status” column.

  • Keep: “valid”
  • Remove: “invalid”
  • Decide: “risky” and “unknown”

About “Risky” and “Catch-All” Addresses

Many small business domains have catch-all mailboxes. That means the server accepts mail for any address, real or not. Usebouncer will flag these as “risky,” sometimes with the sub_status “catch_all.”

Should you keep them? - If you’re sending a one-off campaign and can tolerate a few bounces, you might keep them. - If you care about deliverability long-term (e.g., regular newsletters, cold outreach), it’s safer to remove or segment them.

Don’t get cute: Deleting “risky” addresses won’t tank your list size. Keeping them won’t magically double your open rates.


Step 5: Segmenting and Cleaning Your Email List

Once you’ve filtered out the bad stuff, it’s a good idea to segment what’s left.

  • Master List: Only “valid” emails.
  • Re-engagement List: “Risky” or “unknown” emails. Use this for soft re-engagement or lower-priority sends.
  • Suppression List: All “invalid” emails—import this into your email tool to make sure you don’t email them by accident.

Pro tip: Keep the original exported file somewhere safe. If you ever need to double-check why you removed someone, you’ll want the details.


Step 6: Spotting Patterns and Preventing Future Headaches

If you’re regularly cleaning lists, it’s worth looking for patterns:

  • Are certain domains always risky or invalid?
  • Did a particular sign-up source (web form, trade show, etc.) generate lots of bad emails?
  • Are you seeing lots of “disposable” or “role-based” addresses (like info@, sales@)?

If you spot a pattern, address it at the source: tweak your sign-up forms, add better validation, or stop buying sketchy lists.

What works: Usebouncer’s exports make it easy to do this sort of detective work. Just sort by “domain” or “sub_status.”

What doesn’t: The dashboard itself isn’t built for deep analysis—you’ll need Excel, Google Sheets, or a BI tool for that.


Step 7: Importing Cleaned Data Back Into Your Tools

Now that you’ve got a clean list, it’s time to put it back into whatever email platform or CRM you’re using.

  • Export just the “valid” emails to a fresh CSV.
  • Import that CSV into your email tool—Mailchimp, HubSpot, whatever.
  • Optionally, upload your suppression list (invalids) if your tool supports it.

Don’t overcomplicate: Most email tools only need the email column. Keep it simple.


Pro Tips and Common Mistakes to Avoid

  • Don’t re-verify the same list too often. Once a quarter is enough for most use cases.
  • Keep your raw data. Don’t just save the cleaned list—hang onto the original export for troubleshooting.
  • Automate where you can, but don’t chase every integration. Manual exports work fine for most teams.
  • Ignore “unknown” status at small scale. If it’s less than 1% of your list, don’t lose sleep over it.
  • Never, ever email “invalid” addresses. Your deliverability will suffer, and you’ll end up in spam folders.

Wrapping Up: Keep It Simple, Iterate as You Go

Exporting and analyzing your email verification results from Usebouncer doesn’t need to be a chore—or a rabbit hole. Focus on what matters: keep the valid addresses, get rid of the junk, and don’t stress over every technical detail. Your future self (and your open rates) will thank you.

If you’re not sure about a status or you spot a weird trend, take a closer look—but don’t let analysis paralysis stop you from hitting “send.” Clean, simple lists win every time.