An account-based marketing email campaign targeting 100 credit unions launched for AviaryAI in late February 2026. The campaign uses a hyper-personalized 6-email sequence built on per-account AI research, delivered via Amazon SES through HubSpot. Initial results from the first send are strong, and the campaign is being expanded to 200 accounts.
This campaign represents a proof-of-concept for AI-driven ABM at scale — demonstrating that deep personalization previously reserved for small account lists can now be applied to hundreds of accounts simultaneously.
For each of the 100 target accounts, the team generated two documents:
Research Document — compiled via AI agent (~13 hours of parallel processing for 100 accounts):
- Company overview (members, asset size, branches, employees)
- Financial snapshot
- Technology stack analysis
- Recent news and growth signals
- Pain point hypothesis
- Best-fit use case for AviaryAI
- Buying committee map (primary target, secondary target, coverage gaps)
- Personalization hooks
- Proof points and sources
Strategy Document — derived from the research doc:
- Six personalized emails in sequence, each tailored to the primary contact
- Contact record for HubSpot
- Campaign notes and email verification data
Both documents are stored as notes on the HubSpot contact and company records.
| Day | Theme | |
|---|---|---|
| 1 | 0 | "Outbound Gap" — pattern interrupt |
| 2 | 4 | BCU case study |
| 3 | 9 | Pain point: onboarding and cross-sell |
| 4 | 15 | TBD |
| 5 | 21 | TBD |
| 6 | 30 | TBD |
Total emails in sequence: 600 (6 emails × 100 accounts)
| Metric | Result | Benchmark | Notes |
|---|---|---|---|
| Open Rate | 13% | ~20% | Depressed by Apple Mail Privacy Protection; actual opens likely higher |
| Click Rate | 11% | — | Strong result for cold outreach |
| Bounce Rate | 3% | ~0% | Occurred despite pre-send hygiene; 3 bounces total |
| Unsubscribe Rate | 3% | <10% | Very strong result |
Note on open rate: Apple Mail Privacy Protection prevents open-tracking pings from Apple devices (iPhone, iPad, Mac). The 13% figure likely understates true opens by a few percentage points. The team considers this acceptable.
The team's position is that AI-driven personalization eliminates the traditional ABM tradeoff between quality and scale. There is no reason to "spray and pray" — the same research-and-personalization process can run at 100+ accounts per week with minimal marginal cost.
"We can create personalized emails at scale... there's really not a limit to what we can do." — Mark Hope
Aaron Grossman is exploring Apollo + Claude integration to enrich the contact database with additional key personas per credit union:
Goal: ensure all key buying committee members have verified emails and phone numbers in HubSpot before outreach expands further.