How Salmon enriched Alumni Ventures Group's entire expert network with current job history, ICP scoring, and actionable outreach data.
Alumni Ventures Group (AVG) manages one of the largest venture capital networks in the U.S. Their expert network — nearly 9,000 contacts built over years of deal flow, portfolio support, and LP relationships — is a core strategic asset. But LinkedIn profiles go stale. People change jobs, get promoted, move companies. AVG's network data hadn't kept pace, and the contacts that mattered most were the hardest to find.
AVG's expert network had been built over years — investors, operators, founders, and executives across every sector. But the data behind it had decayed. Job titles were outdated. Companies had been acquired. People had moved on. The network was rich in relationships but poor in actionable data.
Most records hadn't been updated since they were first added. A "VP of Sales at Series B startup" might now be a CRO at a public company — or have left the industry entirely. No way to know without checking each one.
With nearly 9,000 contacts, the network was too large to work manually. No scoring, no segmentation, no way to identify which contacts were most valuable for deal flow, portfolio support, or LP engagement right now.
Many records had a LinkedIn URL and not much else. No email, no phone, no current company size. Outreach meant LinkedIn messages into the void — and hoping the person still checked that profile.
The usual approach doesn't work at this scale. Manually reviewing 9,000 LinkedIn profiles would take a team of analysts weeks — and the moment you finish, the data starts decaying again. Traditional enrichment vendors return a current title and company, but not the full job history needed to understand career trajectory and relevance. AVG needed something that could run across the entire network, pull complete job histories, and keep doing it on a recurring basis.
Salmon didn't just update titles — we pulled complete employment histories, scored every contact against AVG's ideal profile, and delivered tiered outreach lists ready for activation. The enrichment was designed to repeat quarterly, so the data never goes stale again.
A typical contact from AVG's expert network: a LinkedIn URL and a title from two years ago. No current employer confirmed, no job history, no email, no way to know if this person is still relevant — or still at that company.
Salmon confirms the LinkedIn profile is active and resolves the URL to a canonical format. The contact is real, the profile exists, and we have a clean identifier to work with.
Full employment history extracted — current title, company, previous roles. This person was a VP of Sales two years ago. Now they're CRO at a larger company. The stale record just became a warm lead.
ICP scoring applied: seniority (CRO = high), department (GTM = bullseye), company size (2,500 = enterprise). This contact scores 78 — Tier 1. Flagged for direct outreach with full context.
Verified work email and phone attached. The record now has everything needed for activation: current role, career trajectory, ICP score, tier, and direct contact info. Ready for a warm intro or cold outreach — with context.
In five days, AVG went from a stale spreadsheet of expert network contacts to a fully enriched, scored, and tiered database — with direct contact information on their highest-value connections. The network they'd built over years was finally activated.
Of 8,860 contacts, 7,984 were enriched with full current job data. The remaining 10% were confirmed dead profiles or invalid URLs — not missed matches. Every enriched record includes current title, company, seniority, department, and location.
ICP scoring surfaced the contacts that matter most — senior GTM, RevOps, and executive leaders at enterprise companies. These weren't new names. They were people already in AVG's network, now properly identified and prioritized.
The enrichment is designed to repeat. Every quarter, Salmon re-processes the full network — catching job changes, promotions, and new companies. The data doesn't go stale again. AVG's network intelligence stays current without manual effort.
The multiplier effect. AVG doesn't just use this data internally — it flows to portfolio companies. When a portfolio company needs GTM introductions, investor connections, or market intelligence, AVG can now surface the right person from their network instantly. One enrichment run creates value across the entire AVG ecosystem.
If you have a large contact database — investor network, expert pool, alumni list, CRM — and the data hasn't been touched in months, you're sitting on the same problem. The relationships are there. The data isn't.
Whether you're activating an investor network, scoring a partner database, or cleaning up years of CRM decay — the enrichment is the same. Full job history, not just a current snapshot.
Salmon processed AVG's 8,860-contact network in under a week. The enrichment scales linearly — 10K, 50K, 100K contacts, same approach. The data just gets more valuable as the network grows.
Share a sample export and see how many of your contacts have moved, been promoted, or changed companies since you last checked. No commitment — just proof.
kevin@salmonrun.aisalmonrun.ai