Auto insurance leads only count when the policy binds and the first payment clears. We build owned acquisition for carriers, MGAs, and independent agencies: media on Google, Meta, and Bing that bids on refund-adjusted policy value and routes every lead by live buyer appetite.
Bound-policy acquisition for carriers, MGAs, and independent agencies. Value lands at first payment, seasonality follows rate filings, and routing follows underwriting appetite.
Under-65 and ACA programs live on our health insurance lead generation page. Medicare Advantage, Supplement, and D-SNP programs live on our Medicare lead generation page Term, final expense, and annuities live on our life insurance lead generation page.
A bound policy is worth different things to different buyers, so the value passed to bidding is modeled per buyer type, never flat.
The gold standard: retention-adjusted, loss-adjusted lifetime value to cost. Carriers have the telemetry to share downstream retention, so bidding optimizes against the true multi-year value of every bind.
Override rate to cost, or a target acquisition cost per bound policy, aligned to underwriting margin and binding goals.
First-year commission or premium to cost with a flat target CAC. Agency cash-flow horizons are shorter and multi-year LTV is rarely tracked at agent level, so the model respects that.
The maturity ladder. Programs start at premium to cost as the baseline, elevate to commission to cost, and scale into retention-adjusted LTV once postback data exists. Each rung makes the bidding smarter.
Quotes and uncollected binds do not drive net revenue, so they never carry primary value. The primary conversion event is the bound policy with first payment cleared at the effective date, passed back through our offline conversion pipeline so Smart Bidding learns from policies, not form fills. Hashed first-party data flows through enhanced conversions for leads to keep match rates high.
Data-integrated buyers feed server-to-server postbacks or offline batch updates on 30 or 60 day windows. The algorithm computes a net-bind multiplier, gross binds minus cancel-flats and early lapses, and bids strictly on refund-adjusted lifetime value.
No integration, no problem. Lower-tech buyers run standard revenue tracking forms or periodic reconciliation windows, and bid caps adjust from historical clawback averages instead of live postbacks. Less precise, still honest.
SR-22 filings, coverage lapses, and high-risk histories convert differently and churn earlier, so they never share a value curve with preferred traffic. But specialty carriers and non-standard agents want that volume at the right cost, so the system segments it and bids it down instead of refusing it.
Routing follows appetite dynamically: if a primary buyer toggles off non-standard, the traffic routes to specialty buyers in real time. Compliance stays identical on both sides of the split.
Multi-line intent prices at a premium. Home and auto or renters and auto shoppers retain far better and carry higher total premium lifetime value, which is why bundled segments command the top bid tier everywhere, including the lead marketplaces. Our bidding treats multi-line intent as its own high-value cohort from the first click.
Carrier appetite swings fast on state rate filings and regulatory changes, and a state that was open on Monday can pause on Friday. Dynamic routing with API-level ping-post rule sets shifts traffic to active buyers the moment a state pauses or a budget caps, so no spend is wasted on volume nobody can write. Every routed call is scored through our call tracking architecture.
Rejected before any value reaches bidding: unverifiable garaging ZIP codes, checked instantly against postal databases. Invalid or absent license status where buyer appetite requires it. And any lead missing verified TCPA consent, captured with industry-standard consent verification tokens.
Lead marketplaces resell the same shopper to multiple buyers and optimize toward the click and the transfer, because that is all they can see. They cannot see binds, cancel-flats, retention, or your underwriting margin, so their machine scales volume that looks cheap and lapses early.
An owned program feeds bound-policy truth back into the media engine. Every cohort makes the bidding smarter, every lead is exclusive, and the data asset compounds on your books.
Shared shoppers, flat pricing regardless of segment or appetite, optimized to the form fill or the call. The marketplace keeps the data and the pricing power.
Exclusive volume valued per buyer economics, appetite-routed, knockout-filtered before bidding. Start on the lead generation pillar to see the full architecture.
Cost per lead is the wrong lens in a market where lead marketplaces resell the same shopper to multiple buyers. We price media against bound policies and refund-adjusted lifetime value: a net-bind multiplier discounts gross binds for cancel-flats and early lapses before any value reaches the bidding algorithm.
All three, each on its own value model. Carriers bid on retention-adjusted lifetime value to cost, the gold standard when downstream retention telemetry is shared. MGAs bid on override rate to cost or a target acquisition cost per bound policy, aligned to underwriting margin. Independent agencies bid on first-year commission or premium to cost with a flat target CAC. Most programs start at premium to cost and climb the ladder as data integration matures.
Yes. Non-standard segments are segmented and bid down, not refused. SR-22, coverage lapses, and high-risk histories convert differently and churn earlier, so they carry their own value curve, and dynamic routing sends that volume to specialty buyers whose appetite wants it at the right cost. Compliance is identical on every segment.
Appetite changes on state rate filings can be sudden. Our routing rule sets react in real time: when a buyer pauses a state or caps a budget, traffic shifts to active buyers automatically, so no spend lands on a geography nobody can service.
Every form captures industry-standard consent verification tokens, and a lead missing verified consent is rejected before bidding, along with unverifiable garaging ZIP codes and license-status failures where buyer appetite requires a valid license. Knockouts happen at intake, not after the invoice.
Marketplaces optimize what they can see, the click and the transfer, and they sell the same shopper more than once. An owned program feeds bound-policy truth back into bidding, keeps every lead exclusive, routes by your appetite, and compounds a data asset on your books instead of a vendor's.
Next Step
Send us the account. We will show you what your conversion signal is teaching the algorithm and what bound-policy bidding would change across preferred, non-standard, and multi-line segments. Month to month, no lock-in, minimum $30,000 per month in ad spend.
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