Sales Pitch Review — 2026-04-05
Overview
Mock sales pitch review session with Aaron Grossman (Aviary) and the Asymmetric team (Mark Hope, Sebastian Gant). Aaron walked through Aviary's standard sales deck as if presenting to a prospective credit union client. The session produced substantive feedback on pitch structure, pricing model framing, and a live demo concept, plus a parallel thread on fixing a HubSpot data import issue blocking ABM list creation.
Meeting recording: Fathom
Attendees:
- Mark Hope — Asymmetric
- Sebastian Gant — Asymmetric
- Aaron Grossman — Aviary (external)
Key Decisions
1. Reorder the Pitch: Lead with Demo, End on a High
Problem: The current deck flows through value prop → differentiators → demo → pricing → implementation. This means the pitch ends on cost and logistics — a "bummer" after the emotional high of the demo.
Recommendation: Move pricing and implementation details to an upfront summary slide (get the "hard stuff" out of the way early), then let the demo serve as the climax and close. The prospect leaves energized, not deflated.
2. Reframe Pricing: Volume Discounts, Not Annual Commitments
Problem: Presenting a "$30k for 50k calls, annual commitment" framing sounds like a lock-in. Prospects mentally model it as a monthly subscription and get confused about how calls are consumed.
Recommendation: Sell calls as a product, not a time commitment:
- Base rate: $0.60/call
- Volume discount: 10% off for >50k calls, 15% off for >100k calls (example tiers)
- Expectation-set: "Our expectation is you'll use these within 12 months" — but the unit of sale is calls, not time.
This creates a positive incentive structure (earn a discount by using more) rather than a penalty framing (lose unused calls at year-end).
3. Live Demo: Give the Prospect a Phone Call
Concept: Instead of (or in addition to) playing a recorded demo, offer to call the prospect's phone right now during the pitch. They provide a number, an Aviary agent calls them within seconds, and they experience the product firsthand.
This creates a memorable, interactive moment that no competitor can replicate in the room.
Pitch Content Review
Aaron walked through Aviary's full standard deck. Key content captured for reference:
Core Value Proposition
AI voice agents that scale personalized, two-way member conversations — solving the problem of one-way, impersonal marketing that members ignore. Credit unions can't staff their way to this; AI can reach thousands per hour.
Key Differentiators
| Feature | Detail |
|---|---|
| Private LLM | Proprietary regulated model — no ChatGPT, no Anthropic. Defensible to regulators. |
| Dual-Agent System | Voice agent handles conversation; separate QA agent provides live coaching (e.g., language switching) and guardrail enforcement |
| Human-in-the-Loop | Seamless escalation via Teams, Slack, direct call queue, or scheduled callback — credit union defines the workflow |
| Omnichannel | SMS, RCS, email for pre-call scheduling and post-call follow-up |
| Agent Memory | Remembers prior interactions within a use case; no member repeats themselves |
Performance Metrics (~4M calls)
- 50% pickup rate
- 30% successful call completion (info delivered or action taken)
- 70% of answered calls end with a natural goodbye — high engagement signal
Use Cases Covered
- New member onboarding / growth campaigns
- Dormant account reactivation
- Collections (highest-utilized, most measurable ROI — hard dollar amounts per call)
- Disaster relief / skip-a-pay outreach
- Core system conversion pre-notification
Implementation
- 14-day deployment (as fast as 8 days achieved)
- IT requirement: 2 tickets — SFTP setup + roles/permissions
- Data minimum: first name, last name, phone number (no account numbers or balances required)
- Ramp: starts with a small call batch, analyzes results, scales up
Multilingual
- Currently 9 languages; 27 languages in ~3 months
- QA agent detects language mid-call and switches the voice agent automatically
- Mark's note: undersold feature — for non-English speakers, being addressed in their native language is a delight, not just a convenience
Market Expansion
Aviary is not limited to credit unions. Platform has been used for mortgage, insurance, and university alumni outreach.
Specific Deck Feedback
| Item | Feedback |
|---|---|
| Demo recording — date format | Remove the year from the payment due date ("April 14th, 2025" → "April 14th"). Everyone knows the year; including it sounds robotic. |
| QA / guardrails system | Add a dedicated slide explaining the dual-agent architecture (voice agent + QA agent). This is a genuine differentiator that currently gets buried in narration. |
| Pricing slide | Remove tier graphic; replace with volume-discount framing (see Key Decisions above) |
| Pitch flow | Move cost + implementation to upfront summary; end on demo |
HubSpot ABM List Cleanup
Problem
Aaron ran an Apollo data enrichment workflow that imported ~15,000 companies into HubSpot, but the column header ("Name") was inserted as the company name value for a subset of records — instead of the actual company name. This blocked proper account segmentation for ABM lists.
Solution (walked through live)
Use HubSpot's native filtering tools directly in the Companies view — avoid CSV export/import cycles which are "fraught with peril" if column mapping is off.
Filter criteria for target list:
- Employees > 100 AND
- Assets > $750,000,000
This returned ~1,683 companies from the current dataset.
Critical HubSpot tip: When selecting records to act on, always click "Select all X records" after checking the top box — otherwise you only act on the current page (default 100 records). This is a common mistake.
Planned Lists
Aaron will create five lists in HubSpot:
1. Current Clients
2. Current Sales Pipeline
3. Top 100 Accounts
4. Top 500 Accounts
5. All Credit Unions
Sebastian will assist with the cleanup and list-building once Aaron sends the filter criteria.
Action Items
- [ ] Aaron — Fix HubSpot company name field (generic "Name" entries); then create the 4–5 ABM lists (Clients, Pipeline, Top 100, Top 500, All CUs)
- [ ] Aaron — Send HubSpot list criteria to Sebastian so he can assist with cleanup and list-building
- [ ] Aaron — Update deck: remove year from date in collections demo recording
- [ ] Aaron — Update deck: add dedicated slide on the dual QA AI / guardrails system
- [ ] Aaron — Update deck: reframe pricing as volume discounts on call purchases (not annual commitment tiers)
- [ ] Aaron — Update deck: move pricing + implementation to upfront summary slide; restructure to end on demo
- [ ] Aaron — Add updated deck to shared "Sales Decks" folder for Mark and Sebastian
- [ ] Sebastian — Assist Aaron with HubSpot data cleanup once criteria received
Related
- [1]