Who at your target accounts used to work at your customers? A warm-path map for 40 accounts, built in an afternoon for about $2

Описание и применение

Автоматизированный рецепт создания карты «теплых путей» из бывших сотрудников клиентов, теперь работающих в целевых компаниях, с использованием Apify Actors за ~2 USD.

Задача

Outbound teams lack a scalable way to identify former employees of customers now working at target accounts, leading to manual, stale lists.

Результат

Generated a 371‑person warm‑path map across 40 target accounts, with 292 attributed to specific customers, 125 managers and above with verified emails, all for ~$2.

Рабочий процесс

• 1. Use Apify’s LinkedIn People Search Actor in count mode to get number of matches per customer.
• 2. Verify domain resolution with Apify’s domain‑to‑company lookup for zero results.
• 3. Switch to people mode, request profile details, and retrieve 300 rows for $0.96.
• 4. Attribute each person to a customer by matching past employer names; use Profile Lookup for deeper history if needed.
• 5. Filter rows to managers and above and retrieve personal emails via LinkedIn Email Finder for $0.52.
• 6. Compile results into a deck for sales leaders.
• 7. Use the data to craft warm introductions.

Доказательства

Every outbound team has a list of target accounts and a list of customers. Almost nobody connects the two.

Источник

It took three Actor runs, a few minutes of waiting and about two dollars at list prices.

Источник

The Actor has a mode input: people returns rows and bills per person, count returns the number of matches and bills nothing per row, market returns the shape of the segment (countries, seniority, employer size, top titles, top employers), also free.

Источник

103 seconds, 300 rows, 300 × $0.0032 = $0.96.

Источник