Which channels produced bound policies and premium?

Two channels can bind policies at the same cost while one produces households that renew for eight years and the other produces price-shoppers who leave at the first increase.

Because the match is on the policyholder, every renewal credits the original channel. That single change usually reorders which channel an agency considers its best acquisition source.

An auto policy that becomes auto plus home plus umbrella is worth several times the original, and the campaign that produced the household is never credited for the second and third policy.

Matching on the household means those cross-sales attribute correctly, and it usually reveals which channels produce households worth cross-selling to at all.

An agency quotes far more business than it writes. A household shopping a motor renewal collects four prices, the agency spends staff time on every one of them, and one in several actually binds. The advertising report counts the quote request. The commission statement counts the bind. Nobody routinely puts the two side by side channel by channel, which is exactly where the agency's real acquisition cost has been hiding all along. A cost per quote that looks excellent can sit on top of a bind rate that makes the channel unprofitable.

Uploading the quote log as the lead file and bound policies as the revenue file produces precisely that comparison. Each channel's bind rate becomes visible, and the quotes that never bound sit in the lead file as unmatched leads costing nothing against your allowance. A channel with a cheap quote and a poor bind rate can quite easily be the most expensive source in the agency once the staff time behind those quotes is taken into account. The staff time is the hidden cost in this business, and quote volume is the closest available proxy for it.

It is also the clearest way to see what price-comparison traffic is really doing. Those inquiries quote readily, bind at low premiums and tend to leave at the first increase, and the effect on a cost-per-quote report is flattering throughout. Measured on commission earned against quotes produced, the same source frequently sits at the bottom of the table, which is a reason to bid differently rather than an automatic reason to stop. Knowing which part of the book it is worth quoting is more useful than knowing what a quote costs.

An agency's ability to bind depends on which carriers it is appointed with and what those carriers currently want on the books. An appetite that tightens on coastal property, a carrier pausing new business in one state, a change to the underwriting questions on a submission: all of these move bind rates without a single thing changing in the advertising, and all of them hit some channels considerably harder than others. The advertising did not change, the appetite did, and only one of those shows up in an advertising report.

Because of that, a channel that stops performing is not automatically a channel that stopped working. Comparing a period with the same period a year earlier, and reading the bind rate rather than the bind count, separates a market change from a media change. A channel whose quote volume held steady while its bind rate collapsed is describing an underwriting problem, and cutting its budget would address something that was never the cause. The distinction takes one extra column to see and saves a budget decision that would have been wrong.

A carrier column, where the export carries one, sharpens this considerably. Mapped as Product / service, it shows commission by carrier with how much of each traces to a channel, and therefore how much of the agency's revenue is exposed to a single appetite decision taken somewhere else entirely. Agencies rarely have that view of themselves, and when they get it they tend to read it as a business risk question rather than a marketing one, which is a perfectly fair reading of it. Concentration in a single carrier is a risk an agency can manage once it can see the size of it.

Personal lines demand is driven by things happening inside a household: a house purchase, a new driver added to the policy, a move between states, a marriage, a claim that somebody else handled badly. None of them happen on a media schedule, and the inquiry arrives whenever the event does, which may be many months after whatever first put your agency's name in front of that household. That gap is why a campaign can look dead for a quarter and then produce steadily for the following year.

That makes the sources worth measuring rather unusual ones. A mortgage broker, a real estate agent, a car dealership, a removals firm: each of them meets households at the precise moment an event happens, and each of them can produce a list of names and contact details. Added to the lead file, each household tagged with its referrer, they rank on commission earned beside paid search, which prices the referral relationship properly. These sources cost lunches and reciprocity rather than media spend, so nobody has ever put a figure against them.

The gap between the introduction and the bind is exactly why these relationships are so hard to measure conventionally. There is no click to follow, the conversation may have happened weeks before, and the household arrives by telephone or walks through the door. Matching on the person rather than on a session makes that gap irrelevant, and it lets an agency decide which relationships deserve real investment and which have been running on habit. Habit is an expensive way to run a referral network, and it is the default in most agencies.