Tampa Auto Agency
An illustrative case study based on the anonymized first deployment of the Insurance Snapshot for GHL. Individual results vary by line of business, carrier appointments, geographic market, and existing CRM setup.
The starting picture
A 5-producer Tampa-area independent personal-lines agency, established 11 years, ~1,400 households on the book. Predominantly auto (78% of policies), home (18%), other (4%). Annual revenue mix:
- New business: 42%
- Renewals: 51%
- Endorsements / mid-term: 7%
Auto retention sat at 79% — about 5 points below industry average. The renewal book was leaking at 21% per year. The agency was acquiring 28% net new business through Google ads (spending $8K/month) just to keep the book flat.
Cross-sell rate from auto to home: 4%. Cross-sell from auto+home to life: under 1%. Households were narrow and aging.
The agency’s principal had been on GoHighLevel for 18 months. The CRM was functional but mostly used as a contact database. None of the automation potential was being captured.
What we installed
During the 24-hour install + 10 dedicated configuration hours:
- AI quote funnel triaging every inbound by line, routing to the right producer
- 120 / 60 / 30 / 7-day renewal cadence, separated by paid-in-full vs monthly payers
- 48-hour auto-to-home cross-sell trigger with the script discussed in our auto-to-home post
- TCPA-safe SMS layer with A2P 10DLC registration (filed free)
- Annual review auto-booking 45 days before each anniversary
- Review automation with three satisfaction triggers
- Premium payment recovery dunning sequence
- Producer leaderboard with retention + cross-sell + referral attribution
We did not change anything about their EZLynx AMS. We did not change their carrier appointments. We did not change their producer team. We added the automation layer and tuned it to their reality.
What happened (12-month results)
Retention lift
Month 1–2: no measurable change (renewal cadence needed a full cycle to compound).
Month 3–6: retention began climbing as the first cohort hit their renewals under the new cadence. Retention rose to 86% by month 6.
Month 7–12: the cadence stabilized at 92% retention through the back half of the year, with one quarter touching 94%.
The 13-point retention lift on a 1,100-policy auto book at $1,300 average premium = $185,000 in retained annual premium that would otherwise have left.
Cross-sell engine
The 48-hour auto-to-home trigger ran for 12 months. Of 287 new auto policies bound in the period:
- 71% replied to the initial cross-sell SMS
- 89 households accepted a home quote
- 53 home policies bound
- Conversion rate from auto bind to home bind: 18% in the first 90 days, climbing to 31% for the most recent cohort (after the producer team got into rhythm)
Net new home policies: 53. At a $1,400 average home premium = $74,200 in new annual premium. The auto+home households also moved into the life-insurance and umbrella conversation pipelines.
Quote response time
Before: median 6 hours (depending on time of day and producer availability).
After: median 60 seconds for inbound web + SMS (handled by the AI quote-funnel triage, routed to the on-duty producer with intake data pre-filled).
Producer experience
The producers initially worried the automation would feel impersonal. Within 6 weeks, the consensus had flipped: the producers preferred the new system because they were getting routed only to qualified, intake-complete conversations. Their close rate on routed inbounds climbed from 27% to 41%.
The unexpected win: ad spend
By month 7, the agency principal began cutting Google ad spend — the snapshot was acquiring enough net new business through cross-sell + referrals that the paid-search dependency dropped. Ad spend cut from $8K/month to $3K/month. $60,000/year in saved acquisition cost on top of the retention and cross-sell gains.
The numbers, totaled
| Category | Year 1 lift |
|---|---|
| Retained premium (retention lift) | $185,000 |
| New home policies (cross-sell) | $74,200 |
| Reduced ad spend | $60,000 |
| Year 1 net economic impact | $319,200 |
Cost: $997 one-time + their existing GoHighLevel subscription (which they already had).
What didn’t change
Honest framing: the snapshot is not magic. Things that didn’t change:
- The agency’s carrier appointments (still the same)
- The agency’s commission split structure (still the same)
- The agency’s premium pricing competitiveness (still set by carriers)
- The agency’s producer team (still the same 5 producers)
What changed was the leverage the agency got from those same inputs — better retention, better cross-sell, faster response, lower acquisition cost.
What we’d do differently if we started over
- Roll out the AI quote-funnel first, before the renewal cadence. The funnel produces immediate-visible improvement that builds producer buy-in. The renewal cadence produces delayed compound improvement that takes 90 days to see.
- Spend more time on producer leaderboard configuration before launch. The producer team’s competitive instincts are a force multiplier when the leaderboard ranks the right metrics.
What this case study isn’t
It isn’t a guarantee. Every agency is different. Carrier mix, geographic market, producer team quality, existing CRM hygiene, and ad-acquisition strategy all matter. Your results will be different.
But the directional math — that this snapshot can fund itself in under a month and add 8–13% to a personal-lines book’s annual economics — has held across the 80+ agencies running it.
Book a demo to walk through your own agency’s math → or grab the snapshot →.
“We were spending $8K/month on Google ads to replace policies we were losing at renewal. The math didn't work. The snapshot fixed both ends — kept the policies we were losing and turned auto-only households into auto+home in 48 hours.”