How an Education Technology Company Identified 43,000+ Organizations from Anonymous Traffic with Abmatic AI
- β~450,000 Identified Visitor Sessions surfaced from high-volume, seasonal research traffic
- β43,000+ Unique Organizations Identified turning anonymous visits into a prioritized list of institutions
- β92% of Sessions Personalized through audience segments, with agentic workflows enabled
Over roughly three months, Abmatic AI identified nearly 450,000 visitor sessions and more than 43,000 unique organizations, with 92% of sessions personalized through audience segments.
The Challenge
Before Abmatic AI, the company faced several roadblocks turning research traffic into action:
- Anonymous, Seasonal Traffic β High visit volumes around enrollment and budgeting cycles, but no view of which institutions were behind them.
- No Account Prioritization β No way to separate large districts and universities from one-off, low-intent visits.
- Generic Experiences β The same messaging for every visitor, regardless of organization type or buying stage.
- Returning Visitors Unrecognized β Repeat research from the same institutions went unnoticed across sessions.
Company Identification, Segmentation, and Agentic Personalization
The company used Abmatic AI to deanonymize website traffic at the company level, group identified visitors into audience segments, and personalize experiences with agentic workflows. Key areas of impact included:
Company-Level Identification (Deanonymization)
- βResolved nearly 450,000 sessions to identified organizations.
- βSurfaced more than 43,000 unique institutions from otherwise-anonymous traffic.
- βFlagged 32% returning visitors, recognizing repeat research from the same organizations.
Audience Segmentation and Account Scoring
- βGrouped identified visitors into audience segments by organization type and size.
- βDistinguished large organizations (5,000+ employees), 24% of identified visitors, from smaller ones.
- βScored accounts so the team could focus on the highest-fit institutions.
Web Personalization at Scale
- βPersonalized 92% of sessions through segment-based experiences.
- βTailored messaging for different institution types and buying stages.
- βRecognized returning institutions to keep experiences consistent across visits.
Agentic Workflows
- βUsed agentic workflows to automate segmenting and personalization as new visitors were identified.
- βKept a prioritized, continuously updated list of identified institutions for the team.
A Prioritized List of Identified Institutions
~450,000 Identified Sessions β
High-volume, seasonal research traffic resolved to identified organizations.
43,000+ Organizations Identified β
Anonymous visits turned into a prioritized list of institutions.
24% Large Organizations β
Share of identified visitors from organizations with 5,000+ employees.
32% Returning Visitors β
Repeat research from the same institutions, recognized across sessions.
Anonymous research traffic, turned into a prioritized list of identified institutions.
Over roughly three months, Abmatic AI identified nearly 450,000 visitor sessions and more than 43,000 unique organizations for the company. 24% of identified visitors were large organizations (5,000+ employees), 32% were returning visitors, and 92% of sessions were personalized through audience segments, with agentic workflows enabled.
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