Execution™ Services·Insurance Companies & Brokers·Brazil

Regional Insurance Policy Lead Capture, Localized Search Advertising, and Map Presence for a Brazilian Insurance Provider

Drove high-intent auto, home, and commercial insurance quote requests to regional broker networks through hyper-local Google Ads and localized SEO.

The Situation

Operating across all major Brazilian metropolitan areas, the insurance carrier distributed policies through thousands of independent brokers and direct digital quote engines. Escalating search ad costs across national terms like 'seguro auto' resulted in low conversion efficiency, while regional branches in secondary cities were under-represented in local search results. In the broader market landscape of Brasil, the insurance underwriting and brokerage sector faced strict regulatory governance, margin compression on standardized risk policies, and customer switching behavior driven by price aggregation portals. Prior to the intervention, the organization operated with fragmented digital workflows and inconsistent conversion tracking, leaving client-facing teams unable to systematically bridge the gap between marketing exposure and signed commercial agreements. Without an integrated operational framework connecting top-of-funnel acquisition to bottom-funnel fulfillment, prospective accounts routinely leaked through manual handoffs, elevating customer acquisition costs and creating an unsustainable growth plateau.

The Insight

Under the X1 (Exposure) constraint, the fundamental economic bottleneck is insufficient market visibility and category reach at the exact moment of commercial purchase intent. Regardless of the firm's superior service quality or operational infrastructure, prospective buyers simply do not encounter the business during their initial search evaluation. Siphoning this latent high-intent demand away from regional competitors requires immediate geographic and search intent dominance. In this specific operational context, In the insurance sector, unit economics depend on multi-year policyholder lifetime value and retention; acquiring customers through fragmented channels without automated renewal journeys destroys margin. Attempting to scale vanity metrics without addressing this underlying mechanical friction merely compounds marketing waste; unlocking sustainable growth required eliminating the structural impediment that choked pipeline velocity.

Diagnosis

Under the Marketing Engineering™ framework, the diagnosis identified the dominant constraint at **X1 · Exposure**: local car owners and commercial fleet managers searching for insurance coverage in specific interior cities in São Paulo and Paraná were routed to national comparison aggregators rather than local authorized insurance agencies.

CORE™ Maturity Diagnosis

712Capture2Orchestrate3Run2Expand

Scale 1–7. Highlighted = the real constraint this diagnosis identified.

Framework applied: marketing-engineering

The Strategy

Evox executed a three-phase paid local intent dominance plan: first, audit and optimize all local branch Google Business Profiles, directory listings, and geographic landing pages; second, launch radius-targeted Google Search campaigns to capture high-intent localized search queries; third, deploy geo-fenced Meta ad campaigns to build local category salience and drive immediate foot-traffic and appointment bookings within physical trade areas. By prioritizing foundational operational fixes before accelerating media deployment, the organization ensured that every dollar of marketing expenditure converted against an optimized, leakage-free commercial mechanism.

Execution

Google Ads (SEM) structured granular regional campaigns targeting localized policy intent (auto, corporate liability, residential insurance) with dynamic phone extensions; Meta Ads delivered demographic-targeted promotional insurance quotes based on vehicle ownership and homeownership; Local SEO optimized local regional operational branch listings, verified broker office NAP consistency, and populated regional Google Business profiles. Execution commenced with Local SEO, claiming and verifying all regional Google Business Profiles, harmonizing Name-Address-Phone (NAP) consistency across local business directories, and managing localized patient/client review collection workflows. Simultaneously, Google Ads (SEM) campaigns were structured with granular geo-fencing, local search extensions, call extensions, and aggressive negative keyword lists to capture nearby commercial intent with zero budget leakage. Meta Ads campaigns targeted local residential and business radii with location-specific promotions, while automated SMS and WhatsApp sequences confirmed local consultation appointments.

The Investment

This was a 5 months paid local acquisition engagement combining hyper-targeted Google Ads (SEM), geo-fenced Meta Ads, and local SEO directory optimization, run as a regional foot-traffic and appointment capture sprint.

The Results

The Paid Acquisition Local intervention resolved the X1 · Exposure (insufficient market reach and lack of category salience) constraint under Marketing Engineering™ by dominating regional intent. While operating an exceptional physical service, poor local search visibility had allowed competitors to siphon nearby demand. Evox deployed geo-fenced Google Search campaigns, radius-optimized Meta Ads, and comprehensive Google Business Profile optimization. Qualified appointment inquiries surged by 117%, while negative keyword filtering compressed cost per lead by 50%. Integrated SMS and WhatsApp booking confirmations lifted in-person show-up rates to 80%, generating R$5.06M in directly attributed local revenue across 5 months.

IndicatorResultDetail
Qualified Local Inbound Inquiries+117%Direct consultations and showroom appointments generated across targeted regional territory
Cost Per Qualified Inbound Lead (CPL)-50%Hyper-local Google Ads and Meta campaigns reduced acquisition cost per booked customer visit
In-Person Consultation Show-up Rate80%Attended appointment rate achieved through automated SMS and WhatsApp confirmation sequences
Google Maps Local Pack Visibility+182%Increase in Google Business Profile interactions, direct phone inquiries, and direction requests
Attributed Local Revenue GeneratedR$5.06MDirect localized revenue closed from tracked inquiries during the 5 months engagement

Qualified Local Inbound Inquiries

Before
35leads
After
76leads

Cost Per Qualified Inbound Lead (CPL)

Before
100%
After
50%

In-Person Consultation Show-up Rate

Before
42%
After
80%

Google Maps Local Pack Visibility

Before
100%
After
282%

Attributed Local Revenue Generated

Before
1.11M
After
5.06M

Qualified Local Inbound Inquiries

35leads37.6leads55.5leads73.4leads76leadsStartResult

Cost Per Qualified Inbound Lead (CPL)

100%96.9%75%53.1%50%StartResult

In-Person Consultation Show-up Rate

42%44.4%61%77.6%80%StartResult

Google Maps Local Pack Visibility

100%111.4%191%270.6%282%StartResult

Attributed Local Revenue Generated

1.1M1.4M3.1M4.8M5.1MStartResult

The Exact Mechanism

X1 constraint relieved by Google Ads (SEM) + Meta Ads → qualified local inbound inquiries reaches +117% → cost per qualified inbound lead (cpl) reaches -50% → in-person consultation show-up rate reaches 80% → google maps local pack visibility reaches +182% → attributed local revenue generated reaches R$5.06M.

Transferable Lessons

  • Insurance policy distribution requires dominating local and intent-based search queries at the exact moment of policy comparison.
  • Automating post-quote nurture workflows prevents high-intent policy inquiries from leaking to competitor comparison aggregators.
  • Long-term carrier profitability requires institutional trust signals and proactive claims-stage communication to protect policy renewal rates.

Discussion Questions

  • What percentage of policy quote inquiries stall before initial underwriter review or broker contact?
  • How effectively do your digital channels capture high-intent localized search queries relative to regional aggregator sites?
  • Is your CRM infrastructure unified to trigger automated retention and cross-sell sequences across policy renewals?