# Turning a Conference Attendee List Into a Pipeline > A conference program is a pre-qualified list of researchers who self-selected into your exact topic. Here's how to turn presenters, posters, and sessions into a ranked, contactable pipeline. *Source: [https://selltoscientists.com/blog/turning-a-conference-attendee-list-into-a-pipeline/](https://selltoscientists.com/blog/turning-a-conference-attendee-list-into-a-pipeline/)* **Author:** Sci-Buy Team **Date:** 2026-05-20 **Tags:** conferences, pipeline building, academic gtm A scientific conference is, from a GTM perspective, a miracle of free segmentation. Thousands of researchers have voluntarily told you their exact area of focus, their seniority, and their current work — by submitting an abstract, giving a talk, or presenting a poster. The program is a pre-qualified prospect list, and most of it is public. The problem is that almost everyone wastes it. They badge-scan at the booth, collect a pile of cards, and never systematically work the program. Here's how to actually turn a conference into pipeline. ## Why conference data is so good Three reasons a conference attendee list beats almost any cold list you could buy. **Self-selection.** Researchers attend conferences relevant to their work. A presenter at a single-cell genomics symposium is, by definition, working on single-cell genomics. You don't have to infer relevance — they declared it. **Recency.** Conference presentations reflect what someone is working on *right now*, often before it's published. This is the freshest possible signal of a researcher's current focus. **Seniority signals built in.** The program structure tells you who's who. Keynotes and invited talks are senior, influential people. Contributed talks are established researchers. Posters skew toward students and postdocs — your early-career talent pipeline. The program is pre-tiered. ## What to extract from the program The conference program and abstract book are your raw material. From them you can pull: - **Presenter names and affiliations** — your core list - **Talk and poster titles** — exact current topics - **Abstracts** — detailed descriptions of current work, methods, and sometimes needs - **Session structure** — who's keynote vs. contributed vs. poster (seniority) - **Session topics** — natural clustering of related researchers - **Co-authors** — entire labs and collaboration networks, not just the presenter Most conferences publish all of this online — program PDFs, abstract databases, session schedules. It's public; it's just not in a usable format. ## Turning the program into a ranked list Raw names aren't a pipeline. Structure and prioritize: ### Step 1: Extract and clean Pull every presenter into a structured list with name, affiliation, presentation type, title, and abstract. This is the tedious parsing step — programs come as PDFs, HTML schedules, or clunky session databases. ### Step 2: Tier by seniority Use presentation type as a first-pass seniority signal. Keynote and invited speakers are your KOL tier. Contributed-talk presenters are established mid-tier. Poster presenters are early-career — recruit-track, not necessarily sell-track. ### Step 3: Enrich for influence and intent Cross-reference each presenter against citation data (H-index for influence) and industry bridge signals (patents, startup roles, industry co-authorship for intent). A keynote speaker who also holds patents and advises a startup is your top target. ### Step 4: Resolve contact info Conference programs don't include emails. Resolve them from recent publication metadata and current affiliation, verified against the affiliation listed in the program. ## Pre-conference, at-conference, post-conference Timing changes the play. **Before:** This is the highest-leverage and least-used window. Mine the program in advance, identify your top targets, and reach out to schedule a meeting *at* the conference. "I saw you're presenting on X at [conference] — I'll be there, would a 15-minute coffee be useful?" is a strong, specific ask with a natural deadline. You walk in with meetings already booked. **During:** Attend your top targets' talks and posters. Reference their presentation when you introduce yourself — "your point about Y in the session this morning" — and it's a warm conversation, not a cold one. **After:** Follow up referencing their specific presentation. "Your talk on X stuck with me — particularly the bit about Z." This is the cleanest possible warm follow-up: a shared, recent, specific context. Run it in the days right after, while memory is fresh. ## The mistake everyone makes The default conference motion is reactive: stand at a booth, wait for people to come to you, scan badges, dump them into a CRM, and blast a generic follow-up to everyone. That treats a precisely segmented, self-declared list like an undifferentiated lead dump. The proactive motion — mine the program, pick targets, book meetings before you arrive, follow up with specificity — converts vastly better and uses data that's sitting in public view. ## Automating the grunt work The bottleneck is parsing programs and enriching presenters at scale. Doing it by hand for a 2,000-person conference is a week of work, by which point the event is over. Sci-Buy ingests conference programs, structures the presenter list, tiers by seniority, enriches with influence and intent signals, and resolves verified contacts — turning a PDF program into a ranked, contactable pipeline before the conference starts. ```bash sci-buy conference "Keystone Symposia — Single Cell Biology 2026" sci-buy rank --by influence,intent --tier-by presentation-type sci-buy export --fields name,affiliation,talk-title,h-index,email ``` The list is already qualified and already segmented. The only question is whether you work it or let it walk past your booth. ```bash npx sci-buy@latest ``` --- ## Beton network This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources: - [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals - [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties - [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries - [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector)) - [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns - [Beton app](https://inspector.getbeton.ai) — the hosted product