A $25M+ ARR EdTech SaaS company needed a scalable way to identify and track school principals across thousands of target accounts.
Because principals frequently change schools and many maintain little to no LinkedIn presence, SDR teams struggled to maintain accurate contact data and comprehensive account coverage. Manual research was time-consuming, difficult to scale, and often resulted in outdated information.
Here’s how the company automated principal discovery and expanded SDR account coverage at scale.
Company Snapshot
| Company Snapshot | Details |
|---|---|
| Industry | EdTech SaaS |
| Company Size | $25M+ ARR |
| Use Case | Principal Discovery & Account Coverage Expansion |
| Challenge | Tracking School Leadership Changes |
| Data Sources | Proprietary Education Data, Web & AI |
| CRM | Salesforce |
| Outcome | Doubled SDR Account Coverage |
The Challenge: Principal Data Changes Constantly
The company’s outbound team relied on identifying and engaging school principals. However, principal data quickly became outdated as administrators moved between schools and districts.
Many principals were inactive on LinkedIn, making traditional prospecting methods ineffective. SDRs spent significant time searching school websites, validating leadership information, and updating CRM records manually.
Key Challenges
✓ School principals frequently changed schools and roles
✓ LinkedIn data was often unavailable or outdated
✓ Manual research limited SDR productivity
✓ Current leadership information was difficult to maintain
✓ Account coverage was constrained by research capacity
✓ Account and contact records required ongoing manual updates
How Pintel.AI Helped
Proprietary Education Data
Pintel.AI leveraged proprietary education datasets alongside web intelligence to identify current school principals and leadership information that was often unavailable through traditional prospecting sources.
Automated Principal Discovery
Pintel.AI continuously identified current school principals by analyzing school websites and publicly available sources.
AI-Powered Data Extraction
Principal names, titles, contact information, and source references were automatically extracted and validated.
Multi-Source Enrichment
Additional data sources were used to enrich principal contact data, fill information gaps, and improve contact coverage across target accounts.
Automated Salesforce Sync
Verified principal records were cleaned, mapped, and automatically synced into Salesforce, eliminating manual updates.
Results Achieved
Doubled SDR Account Coverage
Sales teams gained visibility into significantly more target accounts and decision-makers, expanding prospecting coverage without increasing manual research effort.
More Accurate Principal Tracking
Current principal assignments were identified and maintained more consistently across schools.
Reduced Manual Research
SDRs spent less time searching for contacts and more time engaging prospects.
Improved CRM Accuracy
Verified and enriched records improved the quality and reliability of Salesforce data.
Faster Prospecting Execution
Sales teams received outreach-ready contact information faster, accelerating prospecting workflows.
Customer Quote
“Principals are moving targets. Pintel’s automated workflow solved the challenge of identifying and tracking school leaders beyond LinkedIn, doubling our account coverage while improving CRM accuracy.”
Customer Outcome
What was once a manual process of tracking constantly changing school leadership became an automated workflow for discovering, validating, and maintaining principal data at scale.
The result was broader account coverage, more accurate CRM records, and faster prospecting execution without increasing research effort.
What Became Possible
✓ Current school principals identified automatically across thousands of schools
Principal assignments tracked beyond LinkedIn and traditional data sources
✓ Account coverage expanded beyond traditional data sources
✓ CRM records enriched with validated leadership information
✓ Principal data synchronized automatically into Salesforce
✓ SDR teams received enriched, outreach-ready principal contacts
Frequently Asked Questions
How did the company double SDR account coverage?
Pintel.AI automated principal discovery, enrichment, and CRM updates, enabling SDRs to reach more target accounts without increasing manual research.
Why is tracking school principals difficult?
Principals frequently change schools and many have limited LinkedIn presence, making leadership data difficult to maintain accurately.
How did Pintel.AI identify principals when LinkedIn data was unavailable?
Pintel.AI combined proprietary education data, web intelligence, and AI-powered extraction to identify and validate current school leadership.
How can EdTech sales teams find direct contact details for school decision makers?
EdTech sales teams often use Pintel.AI alongside education datasets and school websites to identify, validate, and maintain accurate contact information at scale.
How did Pintel.AI improve CRM accuracy?
Principal records were continuously validated, enriched, and synced into Salesforce, reducing outdated information and manual updates.
How did Pintel.AI expand contact coverage?
Multi-source enrichment helped identify additional principal contacts and fill data gaps across target schools.
Why do traditional databases struggle with school leadership data?
School leadership changes frequently, causing many traditional databases to become outdated quickly.
How can EdTech sales teams reduce manual research?
Automating principal discovery, enrichment, and CRM maintenance allows SDRs to focus more on outreach and less on data collection.
Can Pintel.AI identify decision-makers beyond principals?
Yes. Pintel.AI can help identify and enrich other education stakeholders, including superintendents, district leaders, technology leaders, curriculum leaders, and department heads.
How can EdTech companies scale prospecting without increasing headcount?
By automating account research, contact enrichment, and data maintenance, teams can expand coverage without adding additional research resources.
