AM Best joins the Florida Association of Insurance Agents’ 2026 Convention and Education Symposium with a dedicated exhibition booth, signaling the rating agency’s push into the next wave of InsurTech data services and offering enterprise marketers a new channel for credibility‑driven outreach.
The 122nd FAIA Convention, slated for June 17‑19, 2026 at Orlando’s Gaylord Palms Resort, will feature AM Best’s Booth 509 as a focal point for insurers, brokers, and technology partners seeking insight into credit ratings, performance assessments, and the agency’s expanding suite of financial data products. Senior Director of Strategy & Communications Meg Mulry will headline the presence, while Director of Business Development Brenda Tyne and members of AM Best’s industry‑relations and product‑strategy teams stand ready to answer technical questions.
Why the Exhibition Matters
At its core, AM Best provides credit ratings that influence underwriting decisions, capital allocation, and regulatory compliance across the global insurance ecosystem. By stepping onto the FAIA exhibition floor, the agency is not merely showcasing its legacy rating symbols; it is positioning its data‑analytics platform as a plug‑in for modern digital‑payments and embedded finance solutions. In a market where Gartner forecasts that 70 % of insurers will embed advanced analytics into core operations by 2027, AM Best’s move underscores the convergence of traditional rating services with real‑time data APIs that can be consumed by fintech platforms, open‑banking networks, and enterprise marketing stacks.
Technology in Focus
AM Best’s product portfolio now includes:
- Best’s Credit Ratings – the industry‑standard symbols that inform risk‑based pricing.
- Performance Assessments for Delegated Underwriting Authority (DUA) Enterprises – granular scorecards that evaluate delegated underwriting teams, a growing model in embedded finance.
- Insurance Data & Analysis Resources – APIs delivering loss‑ratio trends, capital adequacy metrics, and market‑share dashboards.
- Financial Data Products – subscription‑based feeds that integrate with ERP, CRM (e.g., Salesforce), and marketing automation tools.
These offerings can be stitched into open‑banking ecosystems—think of a digital‑payments platform that instantly pulls a carrier’s rating to adjust transaction limits—or into embedded finance solutions that require on‑the‑fly underwriting decisions. For enterprise marketing teams, the ability to embed a verified AM Best rating badge into product pages, email campaigns, or partner portals adds a layer of trust that can boost conversion rates by up to 15 %, according to a recent Forrester study on credibility signals in B2B fintech.
Industry Impact and Competitive Landscape
The insurance rating space has traditionally been dominated by three players: AM Best, Moody’s Analytics, and S&P Global Ratings. While Moody’s and S&P have accelerated their API strategies, AM Best’s recent partnership integrations with cloud providers such as Microsoft Azure and Google Cloud differentiate its approach by emphasizing low‑latency data streams tailored for real‑time underwriting.
Compared with competitors, AM Best’s focus on delegated underwriting authority assessments is unique. DUA models are gaining traction among Fintech startups that outsource underwriting to specialist firms. By providing a standardized performance metric, AM Best reduces information asymmetry, enabling fintechs to scale DUA arrangements without building proprietary rating models.
For enterprise marketers, the agency’s knowledge‑graph tagging that aligns rating data with product taxonomy in systems like Adobe Experience Manager facilitates dynamic content personalization—showcasing the highest‑rated carriers for specific customer segments, thereby improving lead quality.
Strategic Takeaways for Enterprise Marketing Teams
- Credibility as a Conversion Lever – Embedding AM Best ratings into digital touchpoints can lift click‑through rates, especially in B2B insurance procurement funnels.
- Data‑Driven Segmentation – Leveraging AM Best’s API feeds enables marketers to segment prospects by carrier risk profile, aligning messaging with risk appetite.
- Cross‑Channel Consistency – Integration with Salesforce and Adobe ecosystems ensures that rating badges appear uniformly across email, web, and mobile channels.
Subheadings
- The Exhibition’s Role in the Broader InsurTech Narrative
- From Ratings to Real‑Time APIs: AM Best’s Technological Evolution
- Competitive Positioning: How AM Best Stacks Up
- Enterprise Marketing Implications
Market Landscape
The global insurance data‑analytics market is projected by IDC to reach $12.4 billion by 2028, driven by demand for real‑time risk assessment and embedded finance solutions. Open banking initiatives, led by giants such as Google and Amazon, are expanding the data exchange surface, creating opportunities for rating agencies to become data‑as‑a‑service providers. Meanwhile, fintech startups—ranging from digital‑payment processors to embedded‑finance platforms—are seeking trusted third‑party data to meet regulatory KYC and AML requirements. AM Best’s exhibition at FAIA aligns with this macro trend, positioning the agency as a bridge between legacy risk assessment and next‑gen fintech infrastructure.
Top Insights
- Credibility Integration: Embedding AM Best ratings into B2B marketing assets can increase conversion rates by up to 15 %, per Forrester.
- DUA Differentiator: AM Best’s performance assessments for delegated underwriting authority give fintechs a ready‑made risk metric, a capability not offered by Moody’s or S&P.
- API‑First Strategy: Low‑latency data feeds compatible with Azure, Google Cloud, and Microsoft ecosystems enable real‑time underwriting for embedded finance platforms.
- Market Growth: IDC forecasts the insurance analytics market to exceed $12 billion by 2028, underscoring the commercial potential of rating‑data services.
- Enterprise Stack Alignment: Integration with Salesforce, Adobe, and other CRM/CMX tools allows marketers to automate credibility signals across channels.
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