# Loom Financial Model

Cloud-based asynchronous video recording and collaboration platform for workplace teams

- Canonical: https://finamodel.com/startups/loom
- Excel download: https://finamodel.com/startup-models/loom.xlsx
- Category: Enterprise/Security
- Model type: SaaS ARR / Valuation
- Funding round: Seed
- Funding: $3M
- Founded: 2017
- Geography: US-focused (enterprise logos are US companies); no international expansion mentioned
- Customer: B2B

## About the company

Loom is a cloud-based asynchronous video recording and collaboration platform for workplace teams. It gives employees a way to explain work, share updates, and capture knowledge without requiring every interaction to take place in a live meeting.

The company uses a freemium product-led motion: individual users can adopt the tool bottom-up, while larger teams and enterprises create an opportunity for paid upgrades and company-wide deployment. Sharing recorded videos is also a natural distribution mechanism.

The model follows free users through activation, paid conversion, team seats, enterprise upgrades, expansion, and churn. Video storage and processing costs sit beneath revenue, while product-led acquisition, sales assistance, customer support, gross margin, and hiring drive runway.

## What's included

- 5-year monthly revenue build with stage-appropriate growth assumptions
- Full P&L, headcount plan, and operating-expense schedule
- Cash-flow statement, runway, and burn-rate tracking
- Valuation via exit multiple with a DCF cross-check
- Returns analysis with MOIC and IRR
- Unit economics including CAC, LTV, payback, and cohort retention

## Product & value proposition

Loom lets employees record quick videos (screen + face + voice) and share them asynchronously. Three pillars:
- **Effective** - easier to explain complex things over video than text
- **Efficient** - record once, recipients watch on-demand; no scheduling required
- **Expressive** - face + voice conveys tone and nuance that text cannot

Core pain points addressed: notification overload, scheduling conflicts, low morale in distributed teams. Competes in the space between Slack (text async) and Zoom (sync video), not against them directly.

## Market

No explicit TAM/SAM/SOM figures given. Market framing is via video consumption proxies:
- YouTube: 10B hours of video/day
- Snapchat: 10B videos watched/day
- Facebook: 8B video views/day
- Skype: 3B minutes on video/day
- Zoom: 450K total teams

Workplace demand signals:
- 47% of employees are recording more video than before
- 41% the same; only 12% less
- Top driver: easy-to-use tools (75% of surveyed employees)

No dollar TAM, SAM, or SOM stated. No third-party market-size figures cited.

## Revenue model

Freemium PLG → per-seat SaaS:

| Tier | Price | Key features |
| -- | -- | -- |
| Free | $0 | Limited recording time, limited storage, limited features; referral gate to unlock full product |
| Paid | $12/seat/month (initial pricing) | Branded pages, HD recordings, transcription, audio indexing, video analytics, team analytics, workflow automation |

- **Go-to-motion:** Bottom-up (individual free adoption inside org) → top-down sale to CIO once enough seats are active
- **Target buyer:** CIO at company with 30+ employees using Loom across 4+ time zones
- **CLTV expansion:** A la carte add-on features from roadmap + usage-based data caps to drive upsell
- **Monetization timeline:** "Monetize June 2017" noted on roadmap and pricing slide

## Traction & metrics

**Overall growth (Sept 2016 – Feb 2017, slide 5):**
- Minutes Recorded/Month: grew from ~30K (Sept) → ~100K (Nov) → ~120K (Dec) → ~270K (Jan) → ~375K (Feb)
- Weekly Active Users: grew from ~750 (Sept) → ~2,750 (Nov) → ~3,000 (Dec) → ~6,000 (Jan) → ~10,500 (Feb)

**Activation & retention (slide 6):**
- 160% growth in new users sharing a video (leading activation indicator)
- 34% of new users still Weekly Active 18 weeks after sign-up (WAU retention)
- % of sign-ups who share a video: 5% (Nov) → 6% (Dec) → 6.5% (Jan) → 8.5% (Feb) → 11.6% (Mar)

**Enterprise account-level adoption (slides 7–8):**
- HubSpot: ~35 videos/month (Oct–Jan), spiked to ~90 in Feb; new users grew from ~2 to ~10
- Nielsen: ~180–200 videos/month (Oct–Dec), ~400 in Jan–Feb; new users grew from ~1 to ~15
- Uber: ~12 videos (Oct) → ~40 (Nov) → ~20 (Dec) → ~18 (Jan) → ~52 (Feb); new users 2→7
- Google: ~7 videos (Oct) → ~24 (Nov) → ~13 (Dec) → ~40 (Jan) → ~55 (Feb); new users 2→26

**Customer testimonials - usage depth (slide 9):**
- Riskalyze (Jeff Beaumont, Director of Support): 945 videos, 45 users; "~350% faster than text and screenshot"
- Nielsen (Jennifer Shin, Senior Data Scientist): 720 videos, 73 users
- HubSpot (Ben Ratner, Head of Growth): 230 videos, 38 users

**Pipeline (slide 12):**
- LinkedIn (CS & Sales, 1,822 employees): $223,000 ARR potential deal
- HubSpot (entire org, 1,962 employees): $240,000 ARR potential deal
- Both described as Q4 2017 potential deals

## Unit economics

- Pricing: $12/seat/month stated as "initial pricing"
- Implied ACV per enterprise deal: ~$120–$124/seat/year × seat count. Example deals imply $223K–$240K ARR for ~1,800–2,000 employee orgs → effective ARPU ~$122–$130/employee/year - but these are potential, not closed deals
- No CAC, LTV, gross margin, or payback period disclosed.

## Competition / moat

No explicit competitive landscape slide. Positioning implied:
- Loom sits between Slack (text async) and Zoom (sync video) - not a replacement but a complement
- Moat levers mentioned: viral sharing mechanic (recipient watches → signs up), branded pages, audio indexing, transcription, workflow automation on roadmap
- 160% growth in video-sharing activation suggests strong product virality

## Team & funding ask / use of funds

**Team:**
- Joe Thomas - CEO, Co-founder. Former Director of Product at MyLife ($27M raised; grew product line from $0 to $600K MRR)
- Vinay Hiremath - Head of Engineering, Co-founder. Former Lead Engineer at Upthere ($77M raised; built video streaming and storage systems)
- Shahed Khan - Head of Design & BD, Co-founder. Age 19 at time of deck; Analyst at Upfront Ventures at 18; Product Designer at Weebly at 18

**Funding ask:**
- Raising: $3M
- Use of funds: "Monetize with 1,000+ teams and progress towards Enterprise teams"
- No pre-money valuation, existing cap table, or previous raise disclosed

## Recommended financial model

**Archetype + why:**
B2B SaaS PLG model - freemium funnel driving per-seat ARR with enterprise upsell. The motion is bottom-up (viral individual adoption) converting to top-down team/org deals. Best modelled as a cohort-based SaaS ARR model tracking free → paid conversion by cohort, seat expansion, and enterprise deal pipeline separately.

**Forecast horizon & granularity:**
- 3 years (2017–2019), monthly for Y1, quarterly for Y2–Y3
- Y1 is pre- and post-monetization (monetization begins June 2017)

**Key drivers & assumptions:**

*Funnel - Free tier:*
- Monthly new sign-ups: ~2,500–3,000 implied from ~10,500 WAUs at 34% 18-week retention
- MoM sign-up growth rate: ~25–30%
- Free-to-paid conversion rate: 5–10%; no paid customers yet as monetization hasn't launched

*Funnel - Paid tier:*
- Seat price: $12/seat/month
- Average team size (SMB): 10–20 seats per team; target of 1,000+ teams implies ~$1.4M–$2.9M ARR at scale
- Target buyer threshold: 30+ employees, 4+ time zones
- Seat expansion rate (net revenue retention): 110–120% - PLG products with usage-based upsell typically expand within accounts
- Monthly churn (paid): 2–3% (logo), consistent with early-stage SaaS with strong retention signals

*Enterprise pipeline:*
- Pipeline ACV: $223K–$240K per deal (LinkedIn, HubSpot examples)
- Enterprise deal close rate: 20–30% of pipeline; deals are still "potential" as of deck date
- Enterprise seat price: negotiated discount to $10/seat/month at scale

*Engagement / usage:*
- Minutes recorded/WAU: ~35–40 min/WAU (implied from ~375K mins / ~10,500 WAUs in Feb)
- Video-share activation rate: 11.6% of sign-ups as of Mar 2017; driver of organic virality

*Cost structure:*
- Gross margin: 65–75% - video storage and transcoding are meaningful COGS for a video SaaS; comparable to early Loom/Wistia benchmarks
- Headcount: 3 co-founders; sales/CS hiring post-raise
- S&M: minimal pre-monetization; primarily organic/PLG; ramps post-June 2017 for enterprise push
- R&D: dominant opex bucket given engineering-heavy team

**Scenarios (Base / Bull / Bear - which variables flex):**
- **Base:** 25% MoM sign-up growth; 7% free-to-paid conversion; 115% NRR; 1 enterprise deal closed in Y1
- **Bull:** 35% MoM growth (viral acceleration); 12% conversion; 130% NRR; 3 enterprise deals in Y1
- **Bear:** 15% MoM growth; 4% conversion; 105% NRR; 0 enterprise deals close; monetization delayed to Q3 2017

**Required sheets / outputs:**
1. **Assumptions** - all drivers in one place, colour-coded inputs
2. **Funnel** - monthly new sign-ups → WAUs → paid conversions → cohort MRR waterfall
3. **ARR Bridge** - new ARR, expansion ARR, churned ARR, net new ARR by month
4. **Enterprise Pipeline** - deal-by-deal tracker with seat count, ACV, close probability, weighted ARR
5. **P&L** - Revenue, COGS (storage, transcoding, CDN), Gross Profit, S&M, R&D, G&A, EBITDA
6. **Cash & Runway** - starting cash (post $3M raise), monthly burn, months of runway
7. **KPI Dashboard** - WAUs, total teams, paid seats, MRR, ARR, NRR, CAC, LTV/CAC, gross margin

## Frequently asked questions

### Is the Loom financial model free?

Yes. The Loom model is a free Excel download with live formulas.

### Can I change the assumptions?

Yes. The workbook is editable and its live formulas recalculate when assumptions change.