The Reputation "Black Box"
Many institutions treat reputation as an uncontrollable metric. Chasing internal faculty for recommendations is time-consuming, and generic outreach leads to abysmal conversion rates.
- Stop relying on outdated internal lists
- Overcome GDPR consent hurdles for QS
- Build a proactive strategy for the THE survey
30%+
Reputation Weighting
400
QS Nomination Cap
The RFVQ Methodology
Our proprietary algorithm identifies global academics who demonstrate a statistically higher affinity for your institution.
Recency
Prioritising active, recent partnerships over historical data.
Frequency
Identifying serial collaborators who are most likely to advocate for you.
Visibility
Factoring in multi-institutional research and global presence.
Quality
Weighting high-impact papers and genuine academic influence.
Engagement Models
Choose the level of intelligence and support that fits your institution's needs.
Core Intelligence
The essential dataset for data-driven reputation management.
- Unified database of 3,000+ targeted academics
- Proprietary RFVQ scores for internal prioritisation
- Internal faculty anchors & "Golden Proof Points"
- Database implementation guide
Standard Campaign
A ready-to-deploy campaign that minimizes administrative burden.
- Everything in Core Intelligence
- Identification of academics who prefer your institution
- "Celebration of Collaboration" template library
- GDPR-compliant nomination framework
Strategic Partnership
A white-glove service that takes the reputation problem off your hands.
- Everything in Standard Campaign
- NDA-backed deduplication against history
- Managed campaign execution & bounce analysis
- Executive board presentation (VC/Board)
Book Your Free Consultation
Submit your details to receive an executive summary of your untapped academic network.