How a Digital Insurance Company Surfaced 38,000+ Companies, 42% of Them Enterprise, with Abmatic AI
- β280,000+ Identified Visitor Sessions surfaced from otherwise-anonymous website traffic
- β42% Enterprise Accounts a high share of identified visitors from companies with 5,000+ employees
- β44% Returning Visitors with 86% of sessions personalized through audience segments
Over roughly three months, Abmatic AI identified more than 280,000 visitor sessions and over 38,000 unique companies, 42% of identified visitors enterprise accounts, with 86% of sessions personalized.
The Challenge
Before Abmatic AI, the company faced several roadblocks acting on its traffic:
- Anonymous High-Value Traffic β Strong inbound interest, but no view of which companies were researching, including enterprise carriers and brokers.
- No Enterprise Visibility β No way to tell enterprise accounts apart from smaller visitors in real time.
- Returning Accounts Unrecognized β Repeat research from the same companies went unnoticed across sessions.
- Generic Experiences β The same messaging for every visitor, regardless of company size or stage.
Company Identification, Enterprise Segmentation, and Agentic Personalization
The company used Abmatic AI to deanonymize traffic at the company level, identify enterprise accounts, and personalize experiences through audience segments and agentic workflows. Key areas of impact included:
Company-Level Identification (Deanonymization)
- βResolved more than 280,000 sessions to identified companies.
- βSurfaced over 38,000 unique companies from anonymous traffic.
- βFlagged 44% returning visitors, recognizing repeat research from the same accounts.
Enterprise Segmentation and Account Scoring
- βIdentified that 42% of identified visitors were enterprise accounts (5,000+ employees).
- βGrouped identified visitors into audience segments by company size and fit.
- βScored accounts so the team could focus on the highest-value enterprise prospects.
Web Personalization at Scale
- βPersonalized 86% of sessions through segment-based experiences.
- βTailored messaging for enterprise versus smaller accounts.
- βRecognized returning companies to keep experiences consistent across visits.
Agentic Workflows
- βUsed agentic workflows to automate segmenting and personalization as new accounts were identified.
- βMaintained a continuously updated view of enterprise and returning accounts.
A High Share of Enterprise and Returning Accounts, Surfaced
280,000+ Identified Sessions β
Anonymous website traffic resolved to identified companies.
38,000+ Companies Identified β
A working list of accounts surfaced from anonymous visits.
42% Enterprise Accounts β
Share of identified visitors from companies with 5,000+ employees.
44% Returning Visitors β
Repeat research from the same companies, recognized across sessions.
A high share of enterprise and returning accounts, surfaced from anonymous traffic.
Over roughly three months, Abmatic AI identified more than 280,000 visitor sessions and over 38,000 unique companies for the company. 42% of identified visitors were enterprise accounts (5,000+ employees), 44% were returning visitors, and 86% of sessions were personalized through audience segments, with agentic workflows enabled.
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