The right contacts at your fingertips
Commercial lending has always been a competitive business and now you don’t have to rely on a third party for source deals. Biscred was built to connect lending institutions to the right contacts in real estate. Our intuitive data infrastructure makes pinpointing your ideal targets easy. Biscred cuts your prospecting time in half, allowing you to increase your bottom line.
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Sales & SDR
Sales teams use Biscred to drive top-line revenue by identifying the right decision-makers, targeting more accurately, and streamlining operations.
Optimize every step of the process
Biscred solutions for Lenders improve performance across departments:
The Biscred platform has streamlined our process and reduced our prospecting timeline by more than 50%."
BASE4
CMO
Find decision-makers
With seniority groups and unique titles it's never been easier to pinpoint the right decision-makers.
Target the right segments
CRE-specific asset class filters at both the company and person level unlock new segmentation opportunities.
Improve your CRM
Our investment in machine learning and CRE-trained researchers can expand the reach of your campaigns in just a few clicks.
Increase market share
Find prospects even if you don’t know exactly who they are, where they work, or what asset they manage.
Optimize productivity
Cut your prospecting time in half and let your productivity reach new heights with stronger data.
Overcome your biggest obstacles
Use Biscred for lenders to
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Trusted by movers and shakers
Who are the organizations that need my product?
Who are the right contacts to target within each organization?
Where can I find untapped opportunities for my technology?
Eliminate uncertainties
Use Biscred to answer pivotal questions, such as:
CASE STUDY
Identify & Optimize
Learn how an innovative private real estate lender leveraged Biscred to identify new target markets and optimize their prospecting process.
Challenge
An innovative private real estate lender needed to expand its sales pipeline with qualified leads to achieve year-over-year growth objectives. They were using other tools that had expansive datasets but did not have specific commercial real estate filters to pinpoint the correct targets.
