Discovering the right emails at the right time can be a powerful way to clean mission-critical information. Here’s how to do it using cloudHQ’s solution, as well as some use cases to help you start strategizing how to use this function in your organization.
How to Extract and Save Specific Emails to a Spreadsheet
Getting the exact emails you need with cloudHQ’s tools only takes a few minutes. Here’s how:
- Install Export Emails to Sheets by visiting https://emails-to-sheets.com
- Click on the new cloudHQ icon on the op of your Gmail inbox to access your dashboard.
- Select “Export Emails to Sheets” from your dashboard.
- Start the wizard to begin exporting email data.
- If you need to back up or save emails to Google Sheets, choose that option.
- Enter the person’s name or email address whose messages you want to keep or backup.
- Select the appropriate backup settings.
- Select Yes, continue to get thew wizard started. You’ll be emailed once the initial data transfer is done with your Google Sheets link
Why Is It Helpful to Save Emails to Sheets?
Even though there are many reasons why professionals want to save emails to sheets, here are some of the most compelling:
For Email Discovery
You never know how important an email is until you really need it. What may seem like a run-of-the-mill communication may end up containing information that can save or make your organization considerable cash or address a pressing issue.
For example, suppose you run a manufacturing company and were using a supplier two years ago but have since moved on to another. The problem is that your new supplier just increased their rates significantly due to an issue in their supply chain. Looking back at your old prices, you realize you can save as much as 30% on certain components if you go back to using the previous supplier — even when considering inflation.
But to verify the validity of this idea, you need to double-check the nature of the first company’s supply chain. You know you had discussed this a few years ago, but the communication is buried deep under a pile of thousands of emails.
With an email parser, you can quickly surface communications from the person in charge of managing the original supplier’s supply chain. You do so, and in a few minutes, you’re able to verify that the original company does, indeed, have a domestic supply chain that likely won’t be impacted by the same issues affecting products coming from China and other countries. With this information, reach out to the original company and set up a Microsoft Teams call.
Email discovery may be a difficult and time-consuming process, especially when litigation is looming. But with email discovery, finding the emails you want and extracting the data you need is much simpler. This way, you get information critical to winning litigation cases in a fraction of the time it normally takes.
For example, suppose you run a cyber security firm, and the federal government is accusing you of producing firewalls with loopholes that foreign hackers can exploit. Even though you respect their concern and diligence, you know this is not the case. Using an email parser for email discovery, you can surface all the emails between your design and development department and your hardware engineers.
In this way, you produce the data you need regarding how the firewall was designed in a matter of minutes. Furthermore, you can organize the communications according to when they occurred and those sent by specific people. This enables you to clear those targeted by the investigation committee from wrongdoing — while alleviating the litigation burden on the rest of your organization as well.
In the same way, if you’re on the other side of the disagreement and accusing the other party of misconduct, you can gather and then examine the digital proof you need by using the emails you save to a spreadsheet.
When Evaluating Response Times
For any company that has a customer service department in charge of troubleshooting issues submitted via support tickets, email pricing can be a valuable performance evaluation tool. For example, by pulling out all the emails from specific support techs, you can organize them according to how long it took them to resolve customer concerns.
For instance, a tech who may have struggled with closing tickets during the first six months after being hired may, after laudable hard work, have made significant improvement. Using email parsing, you can surface data that shows how much they improved and when the improvement started. You can then give them an official pat on the back on their review, boosting their morale and encouraging even better performance down the road.
cloudHQ’s Export Emails to Excel, CSV, or Google Sheets solution makes these and more use cases not only possible but quick and easy.