How to Manage Insurance Leads With Mailparser: Case Study

How to Manage Insurance Leads with Mailparser

Mailparser is a web-based email parser used by hundreds of businesses to extract key data from emails. It requires no coding skills and can be set up in minutes. Here is how to manage insurance leads with Mailparser, step by step:

1. Sign up for a free account

The first step is to sign up for a Mailparser account. You can use a 21-day free trial and upgrade to a paid plan later.

2. Create a Mailparser inbox

Once you’ve signed up, Mailparser will prompt you to create your first inbox. Click on the button and Mailparser will generate a unique email address for you.

This is where you’ll forward your emails to be parsed. Note that you can set up multiple inboxes for different lead sources.

3. Forward an email to Mailparser

Next, you need at least one test email to set up your email parser. Select one email or more from your inbox and forward it to Mailparser. Mailparser will automatically attempt to parse that email and extract the data inside.

4. Create parsing rules

Parsing rules are the instructions that Mailparser follows to identify and extract data from emails. You will need a parsing rule for each data field (name, phone number, email address, etc.).

Luckily, Mailparser has a large library of templates for various use cases, including templates for the insurance industry. For example, if you receive emails from EverQuote, Mailparser will use a template specifically made for that website and create parsing rules to extract the lead information found in those emails.

So after forwarding an email, select “Try Automatic Setup” from the “Parsing Rules” section. Mailparser will detect the correct template to use based on the email contents, and automatically create parsing rules for the relevant data fields.

You can then see the parsing rules that Mailparser attempted to create along with the extraction results. Moreover, you can create custom rules and define how each data field should be extracted. For example, you can:

• Set a start and end positions for a data field
• Remove empty lines
• Find specific keywords
• Change the formatting of a date
• Etc.

Once you are done creating your parsing rules, it’s time to test them. Mailparser will show you a preview of the extracted data, so you can make sure everything looks correct. You can always edit your rules or add new ones to refine the parsing results.

5. Set up your CRM integration

The last step of setting up your custom email parser consists of creating an integration with your CRM. Mailparser can integrate with many CRM platforms, including Salesforce, Hubspot, and Zoho to mention a few.

Essentially, you need to select an integration option, log in to your account on your CRM, and choose the location where you want parsed data to be sent. You’ll be asked to map your data to the appropriate fields in your CRM. This is a one-time process, and Mailparser will remember your mappings for future emails.

After sending test data to make sure that your integration is working correctly, you can start to extract insurance leads from emails. Mailparser will automatically parse new emails and send the extracted data to your CRM, all in just a few moments!

Alternatively, you can download parsed data to a file in the following formats: Excel, CSV, JSON, and XML.

The Results That the Insurance Broker Achieved

After implementing Mailparser to extract lead data from emails, the insurance brokerage saw significant results in their lead capturing and management process.

Firstly, Mailparser reduced the firm’s manual data entry time by 90%. New lead data is automatically extracted from incoming emails and converted into a structured format, which is then easily exported to their CRM with just a few clicks. This has allowed the sales team to spend more time following up with leads and advance them through the sales process from the initial contact to binding the insurance policy.

Here is how Simon describes the company’s experience with Mailparser:

“We were also able to use the web API to create an online form where our loan officers could upload these PDF forms. So, full circle, it was hands off for us to manage these documents from uploads to parsing to unpacking them into our CRM and notifying those agents.

Instead of taking 5 to 10 minutes to copy data into a CRM, [our agents] are able to just get a notification that a PDF has been parsed and everything has been created for them, saving them literally hours every day. So it’s been a huge boon for their productivity.”

Plus, the cost of data entry has drastically decreased, since employees don’t have to spend hours upon hours typing or copying data manually;

In addition to saving time and money, Mailparser has also improved the accuracy of the company’s lead data. Previously, there were frequent errors in the lead database, causing the sales representatives to act on incorrect information and therefore lose credibility and the trust of potential clients. Now, the risk of errors is practically gone as Mailparser is able to accurately extract data from emails.

Last but not least, Mailparser has allowed the insurance brokerage to scale their lead management process more efficiently. As their business grows and they receive more leads via email, the sales team can focus on contacting leads without stressing over the amount of data to enter. Mailparser can process large volumes of emails and extract key data quickly and accurately, without requiring additional effort from the sales team.

In Conclusion

The insurance brokerage in this case study used to lose time and opportunities due to manual data entry. Once the firm implemented Mailparser, the sales team was able to receive extracted lead data directly into Salesforce, where it is organized, accurate, and easily accessible.

The benefits of insurance lead parsing were immediate. The company was able to process leads much faster, allowing them to quickly follow up with potential clients and grow their business. Gone were the tedious hours of typing data by hand and verifying it for errors. Overall, implementing Mailparser has been a game-changer for that firm.

For insurance brokers looking to manage leads more efficiently, Mailparser is a simple yet powerful tool that removes the burden of data entry and boosts productivity. If you are facing difficulties with lead management and want to speed up your sales process, sign up today for a free trial and start extracting lead data from your inbox into your CRM.