Campaign Performance Analyzer connects spend to quote starts, bind rates, and premium to show what’s really driving profitable growth. Optimize by product line, state, channel, and audience without losing compliance visibility.
Why it matters
Benefits
Insurance growth depends on downstream outcomes. Track performance from click to quote start to bind and premium, so you can invest in campaigns that generate in-appetite policies – not low-intent shoppers.
Identify sources with high duplicate rates, invalid contact data, suspicious click patterns, or poor quote completion. Improve lead quality scoring and suppress underperforming publishers before CPL erodes profitability.
Performance varies dramatically by geography and coverage type. Compare CPL, quote-to-bind, and premium by state, ZIP cluster, and product (auto, home, renters, life, commercial), then shift budget to markets where you can write profitable business.
Insurance advertising is regulated and scrutinized. Maintain clear documentation of targeting, disclosures, and performance changes over time to support internal reviews, partner governance, and vendor accountability.
Use cases
Challenge
Your search campaigns show strong conversion rates on quote forms, but bind rates are inconsistent and CAC is rising. Leadership questions whether brand and non-brand keywords are worth the spend.
Solution
Campaign Performance Analyzer connects keyword and ad group performance to quote completion, bind rate, and premium. It highlights terms that drive high quote volume but low binds, enabling negative keyword expansion, bid adjustments, and budget reallocation toward profitable segments.
Challenge
Affiliate partners deliver thousands of leads with acceptable CPL, but agents report low contact rates, high duplicates, and poor close rates. The team struggles to prove which partners are driving the problem.
Solution
Campaign Performance Analyzer benchmarks partners on lead validity, contactability, quote start rate, quote-to-bind, and downstream premium. It flags outliers, supports payout model changes (CPL to CPA), and provides evidence for pausing or renegotiating underperforming sources.
Challenge
A homeowners push performs well in some states but generates too many out-of-appetite risks in others. Underwriting tightens guidelines, and marketing needs to adapt quickly without turning off growth everywhere.
Solution
Campaign Performance Analyzer segments performance by state and risk proxy signals (where available), showing where quote-to-bind and premium outcomes remain strong. Use these insights to refine geo targeting, creative, and landing page messaging, and to shift spend toward in-appetite markets.
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FAQ
In addition to CPL, it focuses on funnel and policy outcomes such as cost per qualified quote, quote start rate, quote completion rate, quote-to-bind rate, cost per bind, premium per acquisition, and early retention indicators (when available). This aligns marketing measurement with how insurance revenue is actually created.
Yes. Insurance performance differs by line of business and geography due to pricing, competition, and underwriting appetite. The analyzer can segment results by product (auto, home, renters, life, commercial), state, DMA, and other geo levels to reveal where spend produces the best bind and premium outcomes.
It surfaces patterns like unusually high lead volume with low quote starts, repeated contact details, abnormal time-on-page, and channel-level discrepancies between reported and realized outcomes. These signals help you tighten validation rules, adjust partner terms, and suppress sources that inflate CPL without producing bindable business.
Insurance shoppers often return multiple times before completing a quote or binding. Campaign Performance Analyzer supports longer lookback windows and multi-touch analysis so you can understand the role of upper-funnel channels (display, video, social) alongside lower-funnel channels (search, retargeting) in driving quotes and binds.
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