Shared vs. exclusive insurance leads

A shared insurance lead is sold to several agents at once. An exclusive lead is sold to one and costs several times more. Neither is automatically better. The only comparison that decides it is cost per bound policy, not cost per lead, and that depends on your close rate and your speed to first call.

What exactly is a shared lead?

One consumer fills out a quote form on a comparison site. The vendor sells that single record to several agents simultaneously, typically within minutes. Everyone who bought it gets the same name and phone number. The consumer expects calls, and gets them, usually starting inside the first minute.

The consequence is that your close rate is not really a measure of your sales ability. It is a measure of your dial speed relative to the other buyers plus your price relative to theirs. Agents on r/InsuranceAgent report paying $35 to $42 per auto lead with around 10% conversion. That range is a reasonable sanity check on any shared-lead quote you get.

The other well-worn complaint about the model, from a widely-upvoted r/InsuranceAgent comment on P&C leads: “Internet leads are price shoppers. Even if you are good enough to win a few, they will jump ship as soon as a lower price comes their way.” Retention, not just close rate, is part of what you are buying.

What exactly is an exclusive lead?

An exclusive lead is one the vendor contractually sells to a single agent. Nobody else gets that record from that vendor. You are the only call the prospect receives from that source, which usually raises both your contact rate and the tone of the conversation. You pay several times the shared price for it.

Read the definition in the contract carefully. “Exclusive” sometimes means never resold, and sometimes means not resold for 30 or 60 days. It never means the consumer has not filled out forms on other sites. Exclusivity is a promise about the vendor's behaviour, not the consumer's.

How big is the price gap?

Large, and vendors quote it individually instead of publishing rate cards, so treat any specific multiple you read online with suspicion. What you can anchor on: AgencyMVP puts professional auto insurance leads at roughly $20 to $50 each. Exclusive pricing sits above that band, and live transfers above exclusive.

The ordering is stable even when the numbers are not: aged data is cheapest, shared real-time next, exclusive above that, live transfers highest. More detail by line in how much do insurance leads cost.

Shared, exclusive, live transfer, and self-generated compared

How do you compare them on cost per bound policy?

Divide the price of a lead by the share of those leads you bind. That is your cost per bound policy. Cost per lead is the number vendors quote because it is the flattering one; cost per bound policy is the number that decides whether the spend is profitable against your commission. They can rank the options in opposite orders.

The formula:

1. Cost per bound policy = cost per lead ÷ bind rate.
2. Margin per policy = first-year commission − cost per bound policy.
3. Compare margin per policy across lead types, not cost per lead.

A worked illustration (assumed inputs, not observed data)

Everything in this example is an assumption chosen to show the arithmetic. These are not measured results, not our results, and not an industry benchmark. Substitute your own numbers — the point is the method, not the outputs.

Assume a shared lead at $40 that you bind at 8%, and an exclusive lead at $120 that you bind at 20%. Assume $250 in first-year commission per bound policy in both cases.

Under these assumed numbers the cheaper lead wins on cost per bound policy and both lose money on first-year commission alone. Change one input and the answer flips: hold the exclusive price at $120 but assume a 30% bind rate and cost per bound policy drops to $400, and exclusive now wins. That sensitivity is the actual lesson. A single percentage point of bind rate moves this more than any vendor discount will.

Which is why you cannot answer “shared or exclusive” from an article. You answer it from 90 days of your own tracked data, per line and per state. The method is expanded in cost per lead vs. cost per bound policy.

What to track so the comparison is real

1. Contact rate: the share of purchased leads you ever reach.
2. Quote rate: the share of contacts you actually quote.
3. Bind rate: the share of purchased leads that become policies.
4. Time to first dial, in seconds, per lead type.
5. 13-month retention, split by lead type. Price shoppers show up here.
6. Cost per bound policy and margin, per line and per state.

Retention is the one agents skip and the one that most often reverses the ranking. A cheap lead that binds and cancels at month seven is more expensive than an exclusive lead that stays four years.

When neither shared nor exclusive is the right answer

When the problem is that you own nothing at the end. Both models rent you flow. Twelve months in you have bound policies and a list of burned numbers; the ad account, the pixel, and the audience data that produced those consumers belong to the vendor, and the flow stops the day you stop paying.

The alternative is generating leads in your own Meta account, where the lead is exclusive because nobody else ever held it. Meta's delivery system needs roughly 50 conversions per ad set per week to exit the learning phase, so the first weeks are expensive while it learns. After that the pixel keeps what it learned, and lookalikes built off bound policies keep tightening the targeting.

Our downsides, stated plainly: a 30 to 90 day ramp, month one costs more than month six, $700 setup and $500 a month flat on top of your ad spend, and we are new. If you need conversations this week and cannot fund that ramp, buy leads — that is the honest answer, and the vendor menu is in insurance lead generation companies and EverQuote alternatives. For the full source-by-source ranking, see the best insurance leads for agents, and for the direct trade-off, buying leads vs. running your own ads. If you want the ads run inside your own account, apply here.