Audience intelligence
- Research-area segmentation model
- Institution and geography filters
- Prior publishing behavior weighting
Campaign execution stack
- Audience strategy: Segmentation by subject area, institution profile, and publication history.
- Multi-touch workflow: Initial call, reminder, value follow-up, and deadline urgency sequence.
- Cross-channel distribution: Email plus coordinated social posting cadence for visibility lift.
- Attribution analytics: Source tracking from open/click to form-start and final submission.
Deliverables
Campaign blueprint, message library, automation setup, KPI dashboard, and post-campaign report with recommendations for the next issue cycle.
Campaign lifecycle in detail
- Phase 1: Positioning and target audience definition with topic-level relevance scoring.
- Phase 2: Multi-variant copy production for email and social channels.
- Phase 3: Automation journey launch with behavior-based follow-ups.
- Phase 4: Source-to-submission analytics and optimization for next cycle.
Execution modules
Message framework
- Initial call + follow-up sequence copy
- Deadline urgency and social proof assets
- A/B variants for engagement optimization
Channel operations
- Email automation and trigger logic
- LinkedIn and X posting schedule
- Landing page and submission CTA alignment
Analytics and optimization
- Open, click, and conversion funnel
- Source-level submission attribution
- Post-campaign strategic recommendations
FAQ
Can campaigns target multiple disciplines?
Yes. We build segmented flows so each audience receives topic-relevant messaging and CTA context.
How is campaign quality measured?
Beyond opens and clicks, we track submission starts, completed submissions, and author-quality signals by source.
Typical outcomes
2.4xsubmission volume uplift
42%average open rate
18%click-to-submission conversion