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abm outbound-sales research credit-unions hubspot client:aviaryai

AviaryAI Research Intelligence Documents — 90 Tier 1 Accounts

Overview

As part of the [1] ABM buildout, a Research Intelligence Document was created for each of the 90 Tier 1 credit union accounts. These documents serve as the foundational layer of the high-touch outreach strategy — giving the sales rep (Aaron) everything needed to personalize outreach before sending a single email or LinkedIn message.

Each document is attached directly to the corresponding company record in HubSpot within the [2].

Document Structure

Each Research Intelligence Document covers the following sections:

1. Company Overview

Basic firmographic data: name, location, asset size, member count, employee count, and primary use case match (e.g., new member onboarding, M&A conversion, collections outreach).

2. NCUA Financial Snapshot

Regulatory financial data pulled from NCUA filings. Provides context on the credit union's scale, growth trajectory, and financial health — useful for framing ROI conversations.

3. Technology Stack Assessment

Current vendors and platforms in use. Identifies potential integration angles, incumbent displacement opportunities, and technical readiness signals.

4. Recent News & Growth Signals

Real-time intelligence on the account: leadership changes, branch expansions, merger activity, awards, press releases. Used to identify timely hooks for outreach.

5. Signal Assessment

Synthesized interpretation of the news and growth signals. Example output:

"The CEO's industry recognition and emphasis on innovation signals openness to cutting-edge solutions."

This section translates raw data into actionable sales insight.

6. Pain Point Hypotheses

Structured hypotheses about the account's likely operational challenges, mapped to AviaryAI's capabilities. Example:

"With 177,000 members across 118 counties and only 618 employees, they cannot scale proactive outreach for collections."

7. Coverage Gaps

Identifies areas where the credit union appears underserved or where AviaryAI has a clear wedge — used to sharpen the value proposition.

8. Personalization Hooks

Specific, human details about key contacts that can be used to open conversations naturally. Designed to make outreach feel researched, not templated.

9. Peer Credit Union Context

Comparable institutions in the same asset band or geography. Useful for social proof framing ("your peers are doing this") and competitive positioning.

10. Proof Point Matching

AviaryAI's existing case studies and proof points mapped to this account's specific situation. Surfaces the most relevant evidence to lead with.

11. Competitive Strategy Notes

Guidance on how to position against likely incumbent vendors or objections specific to this account.

Citations for all research used in the document, enabling Aaron to verify or go deeper on any claim.

How These Documents Are Used

Research Intelligence Documents are paired with a Strategy Document for each account. The strategy doc contains the actual 30-day outreach sequence (emails, LinkedIn steps, cadence notes) and references the research doc for personalization inputs.

See: [3]

The workflow is:
1. Aaron reviews the Research Intelligence Doc before engaging an account
2. He uses the personalization hooks, pain point hypotheses, and proof point matches to tailor his approach
3. Pre-written email copy in the Strategy Doc is already informed by this research — but the doc gives Aaron the context to go off-script when needed

HubSpot Integration

All 90 Research Intelligence Documents are being uploaded to their respective company records in HubSpot. Once attached, Aaron can access the full document without leaving the CRM.

Custom HubSpot properties added to each company record surface key excerpts directly in the list view:
- Primary Use Case
- Campaign Status
- ABM Tier
- Score (0–100 fit score)

This means Aaron gets a quick-read summary in the list view and can drill into the full document when preparing for outreach.

Status (as of meeting date): Upload of all 90 documents to HubSpot was in progress. Mark Hope was completing this as a follow-up action item.

Scoring & Tiering

Accounts were assigned to Tier 1 based on a custom 0–100 fit score. The scoring matrix weights multiple factors (not the HubSpot default lead scoring tool, which was deemed unsuitable for ABM). The full scoring matrix was flagged as a deliverable — Mark to share with Aaron and Justin.

Tier breakdown across the 500-account universe:
| Tier | Accounts | Treatment |
|------|----------|-----------|
| Tier 1 | 90 | High-touch ABM with Research + Strategy docs |
| Tier 2 | 40 | Future ABM focus |
| Tier 3 | 36 | Future ABM focus |
| Remaining | ~334 | [4] |

Sources

  1. Index|Aviaryai
  2. Abm Pipeline Hubspot Setup|Abm Pipeline
  3. Aviary Abm Strategy Docs|Aviaryai Abm Strategy Documents — 30 Day Outreach Sequences
  4. Aviary Tier2 Drip Campaign|10 Email Cold Drip Via Sendgrid
  5. Index|Aviaryai Client Overview
  6. Abm Pipeline Hubspot Setup|Abm Pipeline Hubspot Setup
  7. 3 Cold Drip Campaign — Sendgrid
  8. Linkedin Automation Research|Linkedin Automation Research