What teams do with Allref

Which companies' products are being adopted, where, and by whom? The answer is in what researchers actually cite in their publications. Surveys and analyst reports can't match that specificity.

Generate a market landscape for your product category. The output is a competitive map built from product mentions across published research: share by company, geographic breakdown, adoption trends over time, and the customer segments behind each competitor's usage.

You've heard a competitor launched a new platform, but you don't know if researchers are actually switching to it. Sales anecdotes aren't data.

Search for the competitor's product and examine its mention trajectory across publications. See which institutions are adopting it, what applications they're using it for, and whether it's displacing your product or expanding the overall market.

Your team is considering expanding into a new therapeutic area. You need to know how large the opportunity is, who the researchers are, and what tools they use today.

Generate a landscape for the target area. The output covers active researchers, the products they cite, top institutions by output, and funding flowing into the space. All built on published evidence, not projections.

Your product roadmap needs input on what researchers actually struggle with. A handful of advisory board conversations can't represent the whole market.

Search for your product category and examine how researchers describe their workflows. The platform extracts applications, complementary products, and methodological context from papers, revealing which protocols require workarounds and where researchers combine products from multiple vendors to cover gaps.

By the time a market opportunity is obvious, your competitors are already there. Published research is where new demand shows up first. Researchers adopt new targets, techniques, and workflows months or years before commercial purchasing catches up.

Track publication velocity in your product's application areas. When output accelerates around a new target or methodology, that's demand forming. You can see the fastest-growing research areas, the institution types driving growth, and what products those researchers currently use.

Labs buy instruments and reagents with grant money. Clinical trials require supporting lab infrastructure. Patent filings reveal where competitors are placing bets. These signals are visible before the commercial impact lands.

Monitor grant awards and clinical trial registrations in your target areas. A wave of NIH grants in spatial biology means those labs will soon need instruments and reagents. Cell therapy trial ramp-ups mean supporting labs need tools to execute. Every funding signal links to the specific researchers and institutions involved.

You have a meeting with a PI whose lab could become a major account. Knowing their name and institution isn't enough. You need to understand their research.

Search for the researcher in Allref. Their profile shows recent publications, instruments and reagents they cite, active grants (and when they expire), co-authors, and institutional affiliations. Walk into the meeting knowing what they work on, what they buy, and what they might need next.

Volume-based lead generation gives you names without context. You need researchers with active budgets and relevant work, not just a list.

Use expert search to find researchers actively publishing in your product's application area. Filter by geography, institution type, and recency. Each result includes active grants, expiration dates (prime equipment purchasing windows), and current product usage, so your outreach has context from the start.

You're planning a campaign for a new instrument platform. Broad industry lists won't cut it. You need researchers who work on the specific applications your product addresses.

Use expert search with application-area keywords, filtered by geography, institution type, and publication recency. Generate a landscape to understand how this audience currently solves the problem and where your product fits. Export researcher lists with contact information for campaign targeting.

Your messaging is generic because your customer understanding is generic. You know 'researchers in oncology' but not what distinguishes a translational immunologist from a computational biologist in terms of what they buy and why.

Generate personas from your customer data. The output synthesizes publication patterns, product usage, funding sources, and career stage into a profile. Each persona covers purchasing priorities, brand loyalty, current products, and the research challenges driving their decisions.

You need researchers whose work shapes your market: advisory boards, speaking engagements, early-access programs. Citation counts alone don't tell you who's influential in your specific product category.

Search for KOLs in your target area. Results are ranked by publication output, funding, collaboration breadth, and product usage patterns, not just citation counts. The profiles surface who's actively publishing, well-funded, and already using products in your category.

You've identified a key researcher. Now you need to understand their network: who they collaborate with, which institutions they're connected to, how their influence extends across the field.

Pull up the researcher's profile and explore their collaboration network: co-authorship connections, shared institutional affiliations, and overlapping research areas. You can trace how methodologies and products spread through these networks to find secondary contacts worth reaching.