---
title: AviaryAI Dual-Tier ABM Strategy
type: article
created: '2026-04-05'
updated: '2026-04-05'
source_docs:
- raw/2026-03-18-aviaryai-weekly-call-131064351.md
tags:
- abm
- email-marketing
- lead-generation
- credit-unions
- fintech
- strategy-pivot
- hubspot
layer: 2
client_source: null
industry_context: null
transferable: true
---

# AviaryAI Dual-Tier ABM Strategy

## Overview

In the March 18, 2026 weekly sync, the Asymmetric team and AviaryAI agreed to pivot away from a single-contact ABM approach after the initial campaign failed to generate sales-qualified leads (SQLs) against a contractual target of 6–12 SQLs/month. The new strategy splits the total addressable market into two tiers with different levels of personalization and outreach intensity.

**Context:** AviaryAI sells outbound voice AI to credit unions. The fintech/credit union space has unusually low email response rates and a compressed competitive window (~6 months before competitors catch up). The original campaign sent 264 emails to ~100 accounts with 0 SQLs generated.

---

## The Problem with the Original Approach

- **Volume too low:** 264 emails across ~100 accounts is insufficient to generate SQLs in a low-response-rate vertical
- **Single contact per account:** Only one person per credit union was being reached
- **Bot noise:** 499 bot opens/clicks were initially contaminating engagement data, masking the true (low) human engagement: 30 human opens, 18 human clicks
- **Lead definition misalignment:** No shared definition of MQL vs. SQL between Asymmetric and AviaryAI at contract start — email clicks were not being counted as SQLs by the client

---

## The Dual-Tier Strategy

### Tier 1 — Highly Personalized (Top 2,000 CUs)

- **Target:** The highest-priority ~2,000 credit unions, selected by Aaron and sent to Mark weekly in batches of 200–300
- **Contacts per account:** Expand from 1 to 2–3 contacts per account
- **Personalization:** Every email is individually customized to the recipient's role and company — no two emails are identical
- **Delivery:** Sequenced via HubSpot; Aaron sends weekly spreadsheets via Slack for Mark to load and process
- **Persona targeting:** Marketing, lending, operations, CEO, collections — each receiving role-appropriate messaging where contact data exists

### Tier 2 — Broad Nurture (~60,000 contacts)

- **Target:** Remaining contacts in the AviaryAI database (~60K total, estimated ~40K valid)
- **Personalization:** Lower — standard nurture cadence, not individually crafted
- **Goal:** Brand awareness and name recognition across the full TAM; not expected to generate direct SQLs but supports conference recognition and inbound intent
- **Delivery:** Load into Amazon SES for high-volume sending after list hygiene
- **Exclusion:** All contacts currently in Aaron's HubSpot sales pipeline (~69 contacts) are excluded via a HubSpot segment/exclusion list built by Mark

---

## Key Decisions Made

| Decision | Detail |
|---|---|
| Pivot approved | Aaron explicitly approved moving away from pure ABM toward a hybrid volume + personalization model |
| Exclusion list | HubSpot pipeline contacts (~69) excluded from all new campaigns |
| Weekly cadence | Aaron sends 200–300 new CU contacts to Mark every Monday via Slack |
| Lead definition | Mark to pull the contract and align on MQL vs. SQL definition with Aaron and Blessin |
| Do not pre-load HubSpot | Aaron sends raw spreadsheets; Mark's team handles HubSpot import to avoid duplicates |

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## Rationale & Tradeoffs

**Why not pure ABM at scale?** Generating fully personalized emails for 4,000+ accounts within a 4-month window is operationally infeasible. The dual-tier model preserves personalization quality for the highest-value targets while using volume to compensate for the vertical's low response rates.

**Why not pure broadcast?** Credit unions are a tight-knit community. Sending identical emails to multiple people at the same institution risks recipients comparing notes and damaging sender reputation. Tier 1 maintains individual personalization to avoid this.

**The 7-touch principle:** Mark noted that ~7 engagements are typically needed before a prospect responds. At the time of the pivot, most accounts had only received ~3 emails. The volume increase is partly about accelerating time-to-7-touches across a larger audience.

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## Related Context

- [[clients/aviaryai/_index]] — Client overview
- [[clients/aviaryai/meetings/2026-03-18-weekly-marketing-review]] — Source meeting
- The Google Ads verification blocker (Cambio Financial Health Inc. vs. AviaryAI name mismatch) is a separate workstream; see meeting notes for details
- Website rebuild (Webflow → WordPress) was flagged as a future priority to remove GTM workaround dependency

---

## Generalizable Insight

> **For low-response-rate verticals (fintech, healthcare, government), a dual-tier ABM model often outperforms either pure personalization or pure broadcast.** Reserve high-touch personalization for the top tier of accounts where relationship quality matters; use volume-based nurture for the long tail to build brand familiarity that supports field sales and conference conversations. Always build pipeline exclusion lists before launching broad nurture to protect active deals.