wiki/knowledge/lead-generation/aviary-zoominfo-seed-list.md · 569 words · 2026-04-05
Overview
For clients entering a niche B2B vertical with a defined, enumerable target market, ZoomInfo can be used to build a comprehensive seed list before any outbound or nurture activity begins. For [1], whose product (AI-powered outbound voice agents) targets community banks and credit unions exclusively, this approach provides an immediate, structured prospect universe to load into HubSpot.
The strategy was identified during the [2] as the fastest path to populating the CRM with qualified accounts ahead of outbound sequencing.
The Approach
1. Define the Target Segment in ZoomInfo
Pull a list filtered to:
- Industry: Banking / Credit Unions / Community Financial Institutions
- Institution type: Community banks, credit unions (exclude large national/regional banks — they are not Aviary's ICP)
- Geography: United States (national scope)
- Size signals: Smaller employee counts and asset sizes consistent with community-scale institutions
ZoomInfo's financial services filters and SIC/NAICS codes make this segment straightforward to isolate.
2. Export and Deduplicate
Before uploading to HubSpot:
- Export the full list from ZoomInfo
- Check for duplicates against any contacts or companies already in Aviary's HubSpot instance (Aaron's existing outreach may have created records)
- Standardize company name formatting to avoid duplicate detection failures in HubSpot
- Import as Company records first, then associate Contact records (decision-makers: CEOs, COOs, VP of Operations, Head of Member Services)
- Tag all imported records with a source property (e.g.,
Lead Source: ZoomInfo Seed List) for pipeline tracking and attribution
- Assign to the appropriate pipeline stage (likely top-of-funnel / uncontacted)
4. Feed Into Lead Scoring Model
Once uploaded, the seed list becomes the input for the [3] Mark is designing. Scoring criteria will likely weight:
- Institution size (asset base, member/customer count)
- Geography (regional clusters for initial outreach efficiency)
- Existing technology signals (e.g., known inbound-only call center vendors — a conversion opportunity)
Why This Works for Aviary
Aviary's ICP is unusually well-defined and finite. Community banks and credit unions are a regulated, enumerable category — ZoomInfo can return a near-complete list of the addressable market. This means:
- No guesswork on targeting — the seed list is the market
- Immediate pipeline volume — Aaron can begin outreach sequences as soon as HubSpot is configured
- Baseline for market sizing — the total list size gives Aviary a realistic view of TAM for their outbound-first motion
Applicability to Other Clients
This pattern applies whenever a client serves a regulated or institutionally-defined vertical where the full prospect universe can be pulled from a data provider. Examples include healthcare (hospitals by bed count), legal (law firms by practice area), or education (school districts by enrollment). The key steps — segment → export → deduplicate → import with source tagging → feed scoring — are reusable.
Dependencies and Blockers
- HubSpot access is required before the seed list can be uploaded. As of the onboarding call, HubSpot access had not yet been granted. Sebastian is responsible for requesting access from Justin/Aaron prior to the kickoff call. See [4].
- Lead scoring model design (Mark) should be drafted in parallel so import field mapping aligns with scoring inputs from day one.