top of page

Target leads with filters: location, industry,

employees, and insurance data.

Discover Commercial Leads

Access insurance data: renewals, WC, DOT,

OSHA, 990s, carriers, ex-mod, and more.

P&C Prospecting

Find companies with 5500 data and uncover

pension and benefits gaps.

Benefits Prospecting

Get contact details for CEOs, Owners, CFOs,

HR Heads, and key decision-makers.

Identify Key Contacts

DISCOVER OPPORTUNITIES

Seamlessly export leads, contacts, and

insurance data points to a CSV file.

Export to CSV

Sync leads and insights to Salesforce

or AgencyZoom.

Save to CRM

Send personalized emails via LeO to

boost conversions.

Email Outreach via LeO

Manage and track your pipeline in LeO.

Save Leads to Pipeline

BUILD A PIPELINE

Engage at the perfect time before renewals for WC,

auto, GL, benefits, and more.

Optimize Outreach Timing

Utilize LeO's AI to identify and capitalize on

well-timed opportunities.

Use AI for Timed Opportunities

Get tailored leads delivered timely directly to

your inbox each week.

Get Personalized Lead Alerts

CLOSE DEALS

Breaking the Bias Barrier: Preventative Measures Against Data Biases

LeO

LeO Founder and CEO Liri Halperin Segal was honored to take the ITC stage in Las Vegas last September to moderate a panel discussion about data bias in the insurance industry. Coordinated by our team and produced in conjunction with the DiveIn Festival for Diversity and Inclusion, where a recording of the conversation was replayed the following week, Breaking the Bias Barrier: Preventative Measures Against Data Biases provided an important opportunity to delve into an often thorny topic.



LeO feels strongly about creating an equitable space in the insurance industry, where everyone is protected by insurance and never unfairly targeted. Our panelists, including Grace Ata of Equisoft, Tom King of Salesforce, Kate Terry of Surround Insurance, and Sabine VanderLinden of Alchemy Crew provided thoughtful insight on this topic, including the following key takeaways:


The insurance industry is shifting from more standardized to personalized data.

Fair access to insurance protection means graduating out of standard presets that favor already-privileged classes into a more personalized data profile that accurately depicts individuals and businesses.


Insurance bias is insidious, and it must be named.

The panelists agreed that terms like “non-standard” and “sub-standard” used across sectors of the insurance industry disguise discrimination. Highlighting this distinction and calling out the use of such terms is an important first step in eradicating the practice.


Preventative measures need to be taken.

Rather than waiting for biases to be discovered by users, task forces need to be implemented throughout insurance and insurtech companies. Biases will not be found nor addressed until there are people who actively identify them.


Encourage employees to speak about data bias in the industry.

The shifts in the insurance world have largely been due to groundswell movements that call for better policies. It’s time to make change from within and promote work cultures that endeavor to combat inequality.

We have a long way to go before the playing field is level. Introducing these conversations into the industry is the important first step to mobilization that will effectuate change.


 
 
 

Comments


bottom of page