Which conversion rate are you measuring?
A close rate can refer to every purchased lead, only the people reached, or only completed quotes. Those describe different results. Write the numerator and denominator beside every rate, and use the same definitions for every source. Agents also call these figures a bind rate or quote-to-bind; whatever the label, the denominator decides what it means.
For home insurance, a useful starting metric is the percentage of unique delivered opportunities that produce a written home policy. Keep additional auto policies in a separate count. Otherwise, bundling can make a household conversion rate look better without any increase in the number of households won. The same rule applies to home and auto bundles: one homeowner who buys a home policy and an auto policy is one household won and two policies written.
| Measure | Calculation | Question it answers |
|---|---|---|
| Follow-up engagement | Leads with a two-way agency conversation after handoff ÷ delivered leads | Did the agency move the initial inquiry forward? |
| Lead-to-quote | Households receiving a completed quote ÷ delivered leads | How many opportunities reached a usable proposal? |
| Quote-to-policy | Households with a written home policy ÷ quoted households | How often did a quote become business? |
| Lead-to-policy | Households with a written home policy ÷ delivered leads | What was the outcome across the full lead cohort? |
For an email-generated lead, a homeowner response precedes the handoff. That original response is not the same milestone as engaging with the agency’s subsequent follow-up. Keep those events separate. See the tracking fields and stage definitions for a practical record structure.
A worked example with one consistent denominator
Imagine 400 unique home insurance opportunities, each observed for 30 days after delivery. It is not customer data or an industry benchmark. No duplicates or invalid-lead credits are involved.
- 400 delivered leads.
- 260 homeowners engaged in a further two-way conversation.
- 150 households received a completed home quote.
- 36 households purchased a home policy.
- Current outcomes: 36 won, 124 closed without a sale, and 240 still open.
Lead-to-policy conversion is 36 ÷ 400 × 100 = 9%. Dividing by only the quoted households answers a different question. Label each stage’s numerator and denominator instead of presenting a quote-to-policy calculation as the outcome across all delivered leads.
Counting only resolved opportunities would leave the open leads out of the denominator. That describes a resolved-opportunity win rate, not the full group’s conversion rate. Keep unresolved leads visible so an early report does not make a new campaign look stronger than it is.
Keep open leads visible and give cohorts equal time
A cohort is a group of leads acquired in a defined period under similar conditions. Tag the delivery week or month and evaluate outcomes at consistent ages, such as 30 and 60 days after each lead arrived. Choose observation windows that suit your actual quoting cycle; these are reporting examples, not universal standards.
At a reporting cutoff, an open lead has an unfinished outcome. Do not mark it lost simply because the report is due, and do not forecast it as a sale. Include it in the full-cohort denominator and show the open count alongside the conversion rate. A younger cohort with many open leads is not directly comparable to an older, more settled one.
If additional households buy by day 60, record the new written count against the same original group of 400 leads. Keep the day-30 snapshot instead of rewriting it. That history shows the time required to convert and prevents a late policy from being attributed to the wrong acquisition month.
Record exclusions without making weak leads disappear
Retain delivered count, duplicate count, disputed count, approved invalid count, and the rule used for any adjusted denominator. A homeowner who declines a valid quote is a sales outcome, not automatically an invalid lead. Review the Homefield qualification rules separately from conversion.
Do not remove leads because they were hard to reach or incompatible with a particular carrier unless the stated reporting rule calls for that exclusion. Show both delivered-lead conversion and any clearly labeled adjusted rate. Record approved credits separately for spending analysis.
Use the weak stage to choose the next action
- Little engagement after handoff: inspect ownership, response delays, and whether the agency’s response answered the homeowner’s question.
- Conversations but few quotes: review missing information, carrier appetite, service area fit, and stalled next steps.
- Quotes but few policies: review documented reasons, including premium, coverage fit, timing, and the homeowner’s decision.
- Many open records: check whether each has an owner, a specific next action, and a realistic due date.
Use the insurance email follow-up guide to improve one step at a time. Changing targeting, staffing, and scripts simultaneously makes it difficult to understand which change helped.
Choose a benchmark from your own comparable work
A useful comparison holds lead format, insurance line, observation window, and operating conditions reasonably steady. In a small group, one additional policy can noticeably change the result, so show counts as well as the calculated rate. Small differences deserve investigation before large spending changes.
Replace assumptions with your own mature cohorts. Once the conversion definition is reliable, use the cost-per-policy calculator to connect outcomes to spending.