Unexpected Churn
Policyholders move or switch providers without warning.
Claims Leakage
Inaccurate property condition data leads to underpricing and unexpected payouts.
Inefficient Marketing
Broad campaigns waste spend on low-propensity prospects.
Risk Blind Spots
Incomplete data on property condition, equity position, or owner status.
Compliance Requirements
Need compliant, non-credit data sources with proven accuracy.
SellScope Ai flags households 90 days before a move; ProspectScope Ai targets for proactive outreach.
Impact: Modeled 15–20% renewal lift.
PropsectScope Ai filters for confirmed homeowners with strong equity positions and high service-readiness scores, ensuring bundle offers go to the most likely convertors.
Impact: Modeled 22% higher bundle uptake rate and reduced CAC.
Detect hail zones + aging roofs + cash-out refis to predict claim risk.
Impact: Projected 3-point loss ratio improvement.
Identify landlords/flippers adding properties regularly.
Impact: Modeled 2× increase in multi-policy sales.
Scenarios based on modeled results using historical data patterns and industry benchmarks.
Early-move detection to prevent churn.
Predictive risk assessment for better pricing.
Marketing efficiency through high-propensity targeting.
Investor intelligence for multi-policy cross-sell.
Nationwide coverage with no list stitching.
Privacy-compliant: no credit bureau data, no live tracking.
01
Define target geos and policyholder segments.
02
Receive encrypted files.
03
Deploy in retention, acquisition, and underwriting workflows for 30–60 days.
04
Measure renewal lift, premium growth, and loss ratio impact.
Reduce churn, price policies more accurately, and target high-value prospects with Ai-powered signals from Leadflow.