# Streetbees Financial Model

AI-powered consumer intelligence platform that captures real-time human behaviour and emotions via mobile, then analyses it with NLP to surface growth opportunities for enterprise FMCG, CPG, and media brands.

- Canonical: https://finamodel.com/startups/streetbees
- Excel download: https://finamodel.com/startup-models/streetbees.xlsx
- Category: Media/Gaming
- Model type: SaaS ARR / Valuation
- Funding round: Series B
- Funding: $40M
- Founded: 2020
- Geography: Global (UK HQ implied; clients span global multinationals).
- Customer: B2B

## About the company

Streetbees sells Always ON consumer-insight products built from photo-verified, in-the-moment mobile responses from panel members called Bees. Its Dynamic Growth Engine maps occasions and need states, while BrandX, Dynamic Audience, and Dynamic Media Landscape help clients monitor brands, build audiences, and target media using behavioural data.

The model is recurring enterprise subscription revenue from large clients. Named customers include Unilever, Nestlé, Mars Wrigley, PepsiCo, P&G, L’Oréal, AB InBev, IKEA, Adidas, BBC, Sony, Deliveroo, and The Economist. The research does not disclose price, ARR, churn, or exact customer count.

Streetbees says its NLP is trained on 2.5 billion data points and has received recognition from Deloitte, the World Economic Forum, and CB Insights. A model should forecast enterprise logos, contract values, expansion, panel incentives, data collection and processing costs, direct-sales capacity, retention, and margin rather than project-based research revenue.

## 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

Four modular solutions sold under the "Always ON" platform:
1. **Dynamic Growth Engine (DGE)** - NLP-powered occasion/need-state mapping (scatter plot of "growth spaces"); identifies white-space for innovation, positioning, and comms.
2. **Brand Experience Monitor (BrandX)** - real-time brand tracking with single scores (e.g. Dasani 78, Smart Water 63, Evian 40) across Perception / Passion / Performance dimensions.
3. **Dynamic Audience Solution** - builds custom buyable audience segments (via Google Ads variables) from Streetbees' offline behavioural data.
4. **Dynamic Media Landscape** - integrates offline behavioural data with publisher/streaming platforms (Netflix, Prime Video, YouTube, Spotify) for audience profiling and ad targeting.

Core data capture: "Bees" (panel members) share in-the-moment behaviour via mobile, photo-verified. NLP trained on 2.5bn data points.

Key thesis: 75% of everyday choices are driven by immediate context (44%) and emotions (31%), not demographics (25%).

## Revenue model

- Model: Enterprise subscription ("Always ON") - recurring annual or multi-year contracts with large FMCG/CPG/media companies.
- Channels: Direct enterprise sales (implied by client list - Unilever, Nestlé, Mars Wrigley, Mondelez, PepsiCo, Kellogg's, General Mills, Campbell's, P&G, L'Oreal, Reckitt Benckiser, AB InBev, Red Bull, Carlsberg, Bacardi, Beam Suntory, Colgate-Palmolive, Henkel, IKEA, Adidas, Bosch, BT, Shell, Vodafone, BBC, Sony, Deliveroo, The Economist).

## Traction & metrics

- 25+ named enterprise clients, all globally recognised brands.
- Deloitte Technology Fast 50: 10th fastest-growing tech company in London, 2019.
- Britain's Top 100 Fastest Growing Businesses, 2018.
- WEF Technology Pioneer 2020 - 1 of only 100 companies chosen globally.
- CB Insights Top 9 Enterprise AI Startups to Watch.
- NLP trained on 2.5bn data points.
- No revenue, ARR, customer count (exact), growth rate %, churn, or NRR disclosed in deck.

## Competition / moat

- Traditional market research relies on claimed behaviour; Streetbees captures real-time, photo-verified in-the-moment data.
- Proprietary NLP trained on 2.5bn behavioural data points - creates defensible data network effect.
- Always ON (continuous) vs. project-based research (point-in-time).
- Offline data bridged to digital ad buying - rare combination for audience targeting.

## Recommended financial model

- **Archetype + why:** Enterprise B2B SaaS ARR model. Revenue is subscription-based ("Always ON"), sold to large named enterprise clients on recurring contracts. Four product lines exist but likely sold as a bundled platform or modular add-ons. Standard SaaS ARR waterfall (new ARR, expansion ARR, churned ARR) is the right frame.

- **Forecast horizon & granularity:** 3–5 years annual; monthly in Year 1 for cash/runway visibility.

- **Key drivers & assumptions:**
  - Number of active enterprise clients at period start
  - Average ACV (annual contract value) per client
  - New logo adds per year
  - Net Revenue Retention / expansion rate
  - Logo churn rate
  - Gross margin
  - S&M as % of revenue
  - R&D as % of revenue
  - G&A as % of revenue
  - Headcount ramp (sales, R&D, ops)

- **Scenarios (Base / Bull / Bear - which variables flex):**
  - **Base:** 10 new logos/year, 115% NRR, 65% gross margin, ACV £200k.
  - **Bull:** 15 new logos/year, 125% NRR, 70% gross margin (upsell of DAS and DML modules), ACV £300k.
  - **Bear:** 6 new logos/year, 100% NRR (flat, no expansion), 60% gross margin, ACV £150k (project-based downgrades).

- **Required sheets / outputs:**
  1. Assumptions - all drivers, scenario toggle (Base/Bull/Bear).
  2. ARR Bridge - beginning ARR + new + expansion − churned = ending ARR, by year.
  3. P&L - revenue, gross profit, S&M, R&D, G&A, EBITDA.
  4. Headcount - by department, linked to opex.
  5. Cash Flow / Runway - operating cash burn, cash balance, months of runway.
  6. KPI Dashboard - ARR, logo count, NRR, CAC payback (once data available), gross margin %.

## Frequently asked questions

### Is the Streetbees financial model free?

Yes. The Streetbees 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.