Start by identifying your best-fit customers—those who have the most to gain from faster, privacy-first research workflows. For Fynman, this means targeting researchers with large PDF libraries, complex literature review needs, and a strong focus on privacy (such as Principal Investigators, research directors, and grant managers at universities, pharma R&D teams, and research-heavy NGOs). Imagine your dream customer—maybe it's a cutting-edge university lab or a fast-moving biotech team. Use Leadsforge to find people and teams who fit those profiles. Here is why: Going after your best-fit users first helps you get the highest engagement and faster feedback, so you can refine your approach before scaling broader.

To reach people already interested in research software, find and target the followers of your top competitors, or similar products’ company pages on LinkedIn—think reference managers, other AI research tools, or research workflow platforms. Leadsforge can help here. Simply share a competitor’s LinkedIn company page or their official website inside Leadsforge, and it will automatically help you identify these potential leads for outreach. Here is why: These followers are already engaged with solutions like yours, making them much more likely to be receptive to your offer.

A great way to organize your outreach is by segmenting your audience: 1) Academic research leads (by discipline: e.g., life sciences, climate, social sciences) 2) Industry R&D groups (pharma, biotech, clinical research teams) 3) Research support roles, such as systematic reviewers, grant managers, and research librarians Here is why: Breaking down your prospects by role and sector allows for more personalized and compelling messaging so every email speaks to the recipient’s specific workflow and pain points.

Focus your campaigns on specific verticals, such as university labs, pharmaceutical R&D, research-heavy NGOs, and consultants handling literature reviews or grants. Here is why: Keeping campaigns targeted in this way not only increases response rates, but allows you to collect feedback and quickly iterate on your best-performing verticals.