User Growth (Slide 4)
| Metric | Value | Context |
|——–|——-|———|
| Funded accounts | 120,000+ | As of crowdfunding campaign |
| Growth trajectory | Exponential | 2016-2017 chart shows steep curve |
| Acquisition channel | Organic/word-of-mouth | Zero CAC |
| Customer acquisition cost | £0 | Entirely viral/social |
Product Engagement (Slide 5)
| Metric | Value | Benchmark |
|——–|——-|———–|
| App Store rating | 4.3 stars | Excellent (top 5% of financial apps) |
| Weekly active card usage | 60% | Exceptional for banking (typical: 20-30%) |
| Average monthly spend per active card | £370 | Strong engagement signal |
| Annual transactions per active user | 324 | 2.8x UK average (115) |
| Collective spend | £100,000,000+ | Demonstrates scale |
| Metric | Value | Significance |
|——–|——-|————-|
| Twitter followers | 26.9k | Strong social following |
| Discussion forum posts | 28.7k | Active community participation |
| Crowdfunding record | £1M in 96 seconds | World record (March 2016) |
| Crowdsourced name suggestions | 12k | Community co-creation |
Customer Support (Slide 10)
| Metric | Value | Implication |
|——–|——-|————-|
| Weekly support queries | 5,000 | Manageable volume |
| In-app chat usage | 99% | Channel preference |
| AI question identification accuracy | 80% | Scalable automation potential |
Fraud Prevention (Slide 10)
| Metric | Value | Impact |
|——–|——-|——–|
| Peak fraud losses | £40,000/week | Baseline |
| Current fraud reduction | 95%+ | Exceptional risk management |
| Detection method | ML (TensorFlow) | Sophisticated approach |
Traction Assessment: This is the deck’s strongest section. Monzo provides concrete, third-party validated metrics (App Store rating, transaction volumes) that demonstrate genuine product-market fit. The 60% weekly active rate and 2.8x transaction multiplier vs UK average are particularly compelling.