A national health insurance broker agency was spending six figures per month across Google and Meta to feed leads to its sales team. The acquisition cost looked workable in spreadsheets — the operational reality told a very different story. Agents were burning 4+ hours per day on manual follow-up: chasing form-fillers who'd entered the wrong age, calling people in states the agency wasn't licensed in, requalifying every lead from scratch before they could quote a single plan.
The math broke down quickly. Even with ad spend per qualified lead within target, the fully-loaded cost — paid media plus 4 wasted hours per agent per day — was unsustainable. Worse, the team's best closers were spending their highest-leverage hours on data entry instead of selling.
Built an automated qualification and nurture layer on top of the existing paid media — GoHighLevel as the CRM backbone, Zapier orchestrating data flow, and Claude handling the heavier reasoning on lead intent. Every inbound lead now flows through a pre-routing logic check: age range, state of residence, coverage need, current insurance status. Disqualified leads get a polite auto-response and exit the pipeline. Qualified leads land on an agent's calendar with all the context already attached.
On the paid media side, deployed server-side Conversions API across both Meta and Google to recover the attribution signal iOS 17 had been quietly eroding. Segmented audiences by funnel stage — separate creative and bid logic for TOF awareness vs. BOF retargeting — so the algorithm could optimize against intent, not just clicks. Built a Looker Studio agency dashboard that surfaces qualified-lead cost (not raw CPL) as the primary metric, aligning paid media to actual revenue impact.
Within the first quarter, qualified lead volume grew 35%+ on flat ad spend — purely from cleaner attribution and better audience segmentation. The automation layer cut manual follow-up time by 60%, giving every agent back roughly four hours per workday. Cost per qualified lead (the metric that actually maps to revenue) fell 28%, and the team scaled spend without scaling headcount.
The bigger win was structural: paid media stopped being a volume game and became a qualification engine. The engagement is ongoing — the agency now uses the same playbook across new state markets as they license.
The takeaway: at six-figure monthly spend, marginal ad-platform gains stop being the lever. The leverage is in what happens to a lead between platform and pipeline — qualification, routing, attribution, and automation. Cleaner systems, not bigger budgets.