Vizit Financial Model
Consumer/DTC Startup Financials (Free Excel Download)
AI-native visual analytics SaaS platform that scores, benchmarks, and optimizes commercial images and videos for specific shopper audiences.
professionals from Deloitte
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About this model
Vizit is an AI-native visual analytics platform that scores and optimizes commercial images and video for specific shopper audiences. Brands use it to understand which creative assets are most likely to convert.
The business is enterprise SaaS for consumer and commerce organizations, turning visual-performance data into actionable creative decisions. Its value increases with assets analyzed, categories covered, and integration into content workflows.
The model is SaaS ARR with usage: customers, assets analyzed, modules, ACV, expansion, and churn determine revenue. AI processing, data quality, sales cycles, and customer ROI drive margin.
A turnkey financial model
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
About Vizit
vizit.com
How to build a detailed financial model for Vizit
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Vizit model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Patented AI Audience Lens™ technology: automatically analyzes, scores (0–100 "Vizit Score"), and optimizes visual content for the eyes of specific shopper audiences.
- Classified as "Intuitive AI" - synthesizes synthetic human preferences and emotional responses, positioned above Passive AI (Siri), Sensory AI (Tesla), and Generative AI (OpenAI) in their hierarchy.
- Platform features: Attention Maps, Focal Points, Gaze Sequence, Vizit Scores, Audience Lenses, Video Analytics, Negative/Positive Appeal Drivers, Areas for Optimization, Benchmarking, Visual Trends, Content Effectiveness Rankings.
- Five use-case verticals: Ecommerce Product Pages, Advertising Creative, Brand & Social Content, Packaging/Graphics/Product Design, Competitive Intelligence.
- Platform of record across the full content lifecycle: Planning → Brief → Inspiration → Creation → Testing → Selection → Publication → Effectiveness Measurement → Competitive Monitoring → Optimization.
- Partner/API integrations and app integrations; plugs into existing brand workflows.
Market
- TAM: $188+ billion.
- SAM (beachhead): $9+ billion - Enterprise CPG & Retail in North America.
- Market sizing rationale: 195+ billion commercial images and videos produced every year globally.
Revenue model
- Software subscription platform (SaaS); no pricing tiers or per-seat/per-image pricing disclosed in deck.
- Channel: direct enterprise sales (CRO scaled Adobe Digital Marketing Cloud from $30M to $500M+ ARR mentioned as credential).
- API/partner channel implied by platform architecture slide.
Traction & metrics
- Customer logos (15+ named global brands): Central Garden & Pet, Lindt, Coty, Mondelez International, Johnson & Johnson, P&G, Unilever, Red Bull, Mars, Nestlé, L'Oréal, Perrigo, The Clorox Company, Moen, Kimberly-Clark.
- "First-mover category leader" claim.
- Awards: Business Insider Top 15 Most Promising Tech Startups 2023; CBInsights Retail Tech 100 2023; The Lead Leading 100 Innovative Tech Startups 2023; GreenBook Finalist Insight Innovation 2023 Competition.
Competition / moat
- Competitive moat: patented Audience Lens™ technology; first-mover / category creator positioning.
- Competitive Intelligence product provides benchmarking scores against rival brands (e.g., Dyson #1 at 91.0, competitor #2 at 56.0, #3 at 32.0).
- Slide 2 positions Vizit against legacy text/keyword analytics tools: Google Analytics, Meta, Qualtrics, IBM Watson, Bazaarvoice, Omniture - implying Vizit operates in a visual-first gap those tools don't address.
Team & funding ask / use of funds
- Leadership team (12 named): Jehan Hamedi (Founder & CEO), Eli Orkin (CMO), Zack Halloran (CTO), Dr. Elham Saraee (Sr. Director AI Research), Wayne St. Amand (COO/EVP Growth), Andy Jennings (CRO), Cheryl Hawk (CCO), Gabe Schervish (Sr. Director Design), MJ Langlais (HR), Adam Colasanto (VP Customer Success), Joe Annunziato (VP Sales), Dave Policano (CFO).
- Notable credentials: 5 team members from prior AI startup sold for $450M; CRO scaled Adobe Digital Marketing Cloud from $30M to $500M+ ARR.
- Backed by VCs with track records in commerce infrastructure, enterprise software, AI, retail, and consumer goods; strategic angel investors from unnamed companies.
Recommended financial model
- Archetype + why: Enterprise SaaS ARR model. Revenue is subscription-based, sold to large CPG and retail enterprises with long sales cycles, likely annual or multi-year contracts. The CRO credential (Adobe Digital Marketing Cloud) and the nature of platform-of-record positioning both point to high-ACV, low-volume enterprise contracts - not a PLG or seat-expansion motion. An ARR waterfall with logo-based cohort tracking is the right structure.
- Forecast horizon & granularity: 5 years (Year 1–5), quarterly for Year 1–2, annual thereafter. Series B context implies investors want a clear path to $50M–$100M+ ARR.
- Key drivers & assumptions:
- New logos per quarter
- Average ACV per new logo
- ACV expansion rate for existing logos (upsell/cross-sell into more use cases)
- Gross logo churn rate
- Gross margin
- Sales & marketing as % of revenue
- R&D as % of revenue
- G&A as % of revenue
- Headcount ramp (sales reps, AEs, CSMs)
- TAM: $188B stated; beachhead SAM: $9B
- SAM penetration at Series B: implied very early
- Scenarios (Base / Bull / Bear - which variables flex):
- Bull: Higher ACV ($250K+), faster new logo adds (5–6/quarter), NRR of 130%+, faster market expansion beyond CPG beachhead
- Base: ACV $150K, 3–4 new logos/quarter, NRR 120%, CPG beachhead focus through Year 3
- Bear: ACV $100K, 1–2 new logos/quarter, elevated churn (12%), slower gross margin expansion due to AI compute costs
- Required sheets / outputs:
- Assumptions - all drivers in one place with toggleable scenario switch
- ARR Bridge - beginning ARR, new business, expansion, contraction, churn, ending ARR (quarterly)
- P&L - Revenue, COGS, Gross Profit, S&M, R&D, G&A, EBITDA, Net Income
- Headcount Plan - by function (Sales, CS, Engineering/AI, G&A), linked to opex
- Cash Flow & Runway - burn rate, cash-on-hand, months of runway; critical for Series B sizing conversation
- KPI Dashboard - ARR, logo count, NRR, CAC payback, LTV/CAC, Gross Margin, Rule of 40
- Scenario toggle - Base / Bull / Bear via named range or CHOOSE switch on Assumptions sheet
Frequently asked
Is the Vizit financial model free?+
Yes. The Vizit model is a free Excel (.xlsx) download with live formulas. Sign up with your email and the workbook is yours to keep, review, and edit.
What's included in the model?+
A 5-year monthly forecast with P&L, cash flow and runway, valuation (exit multiple plus a DCF cross-check), MOIC/IRR returns, and unit economics, with live formulas throughout.
How was this model built?+
It was built from Vizit's pitch deck and publicly available information, then structured to investment-banking standards as a fully editable Excel model.
Can I change the assumptions?+
Yes. You can change assumptions and the live formulas will recalculate in the downloadable Excel model.
Have more financial modelling questions? Contact us
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