# Clari Financial Model AI-powered Revenue Operations platform that unifies revenue data across Sales, Marketing, and CS to drive forecasting accuracy and predictable growth. - Canonical: https://finamodel.com/startups/clari - Excel download: https://finamodel.com/startup-models/clari.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Series E - Funding: $150M - Founded: 2021 - Geography: US-based; customer base appears predominantly US enterprise tech (inferred from customer logos [DECK slide 04]). - Customer: B2B ## About the company Clari provides an AI-powered Revenue Operations platform that connects revenue data across sales, marketing, and customer success. Its purpose is to help enterprises improve forecast accuracy, spot risk earlier, and operate toward more predictable growth. The platform is sold to large organisations where fragmented data and unreliable forecasting affect executive planning. Its commercial motion is enterprise subscription software, with account value expanding as the product becomes embedded across revenue teams and workflows. The model focuses on ACV and ARR rather than forcing unsupported operating detail. New enterprise wins, renewal rates, expansion, sales capacity, and gross margin form the core bridge, with the resulting ARR and cash needs available under different booking, retention, and hiring scenarios. ## 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 - Revenue Operations platform built on a proprietary Time-Series Data Hub & AI Engine. - Ingests data from CRM, Email, Calendar, Marketing, Phone/IM, and Partners - aggregates signal that goes far beyond CRM data alone ("CRM data is the tip of the revenue data iceberg"). - Three buyer personas / use cases: Sales (forecast accuracy), Marketing (pipeline quality), CS (churn reduction, upsell/x-sell). - Replaces the "DIY" general-purpose data lake approach with a purpose-built, no-code RevOps layer: time to value in days, not months; real-time + historical + predictive workflows. - Positioned as "as essential as CRM, purpose built for revenue". - Key differentiation: single source of truth, automated data integration, AI-driven insights delivered in context - versus manual, fragmented GTM Ops tooling of pre-2020. ## Market Context from deck: $600B+ revenue forecasted through Clari and $1T+ pipeline managed through Clari - these are customer throughput figures, not market-size claims. ## Revenue model Not explicitly stated in deck. From product positioning and customer profile, the model is enterprise SaaS: - Subscription (ARR/ACV) priced per seat or per user-tier; enterprise deals given customer base (Adobe, Workday, Facebook, Palo Alto Networks, etc.). - Platform licensing with modules for Sales, Marketing, CS - potentially tiered by module access, given the platform's staged evolution across three buyer personas. - No usage-based or transactional pricing indicated; no pricing slide in deck. ## Traction & metrics All from slide 02: - 8 years in operation - 250+ employees - $135M total funding raised - 300+ enterprise customers - $600B+ revenue forecasted through Clari (customer throughput proxy) - $1T+ pipeline managed through Clari (customer throughput proxy) - Investors: Sequoia, Bain Capital, Sapphire Ventures, Madrona Venture Group No ARR, revenue growth rate, NRR/NDR, or churn figures disclosed. Customer logos include: Adobe, Workday, Facebook, Datadog, Zoom, Okta, Palo Alto Networks, CrowdStrike, Zendesk, Atlassian, Splunk, Qualtrics, UiPath, Medallia, Zuora, and ~35 others. CEO testimonials: Todd McKinnon (Okta CEO) and Sudheesh Nair (ThoughtSpot CEO). ## Competition / moat Not explicitly named as a competition slide. Implied moat: - Proprietary Time-Series Data Hub - purpose-built data store vs. general-purpose data lakes. - Breadth of integrations (CRM, Email, Cal, Mktg, Phone/IM, Partners, ERP, FP&A) creates switching costs. - Network/data moat: $1T+ pipeline and $600B+ revenue run through the platform generates proprietary AI training data. - Category positioning as the RevOps system of record, analogous to CRM. ## Team & funding ask / use of funds - Total funding raised to date: $135M. - Investors (existing): Sequoia, Bain Capital, Sapphire Ventures, Madrona Venture Group. --- ## Recommended financial model - **Archetype + why:** Enterprise SaaS ARR model. Clari is a subscription-based B2B platform sold to large enterprises; the natural unit of value is Annual Contract Value (ACV) / ARR, with expansion and retention as core levers. A 3-statement model is not warranted without financial data; the ARR bridge is the primary output. - **Forecast horizon & granularity:** 3 years (Year 1 monthly, Years 2–3 quarterly). Sufficient to show path to scale without false precision given limited disclosed data. - **Key drivers & assumptions:** | Driver | Value | Source | | -- | -- | -- | | Starting customer count | 300 | - | | New customer adds (Y1) | ~75–100/year | ~25–33% growth rate typical for growth-stage enterprise SaaS | | Average ACV | ~$100K–$150K | Enterprise RevOps platform; comps (Clari raised $135M with 300 customers, implying meaningful ACV) | | Net Revenue Retention (NRR) | ~115–125% | Best-in-class enterprise SaaS with multi-persona expansion (Sales → Marketing → CS modules) | | Gross margin | ~70–75% | SaaS platform; AI/data infrastructure costs may compress below pure software | | Sales & Marketing % of revenue | ~40–50% | Enterprise motion with field sales; growth-stage investment level | | R&D % of revenue | ~20–25% | Platform with AI/ML engine | | G&A % of revenue | ~10–12% | Standard | | Headcount | 250+ | - | | Implied ARR (rough) | ~$30M–$80M | 300 enterprise customers × $100K–$150K ACV; wide range due to no disclosed ARR | - **Scenarios (Base / Bull / Bear - which variables flex):** - **Base:** ~25–30% new logo growth, NRR 120%, ACV flat. - **Bull:** Faster module adoption (Sales → Marketing → CS cross-sell), NRR 130%+, ACV expansion from enterprise upsell. - **Bear:** Slower new logo adds (macro headwinds on enterprise software spend), NRR 105–110%, ACV pressure. - Primary flex variables: new logo growth rate, NRR, ACV, and module attach rate. - **Required sheets / outputs:** 1. **Assumptions** - all drivers, toggleable by scenario. 2. **ARR Bridge** - beginning ARR, new ARR, expansion ARR (NRR), churn, ending ARR per period. 3. **Customer Cohort Table** - cohort-level retention and expansion over 3 years. 4. **Income Statement (simplified P&L)** - Revenue, COGS, Gross Profit, OpEx buckets (S&M, R&D, G&A), EBITDA. 5. **Headcount & Opex Build** - headcount by function driving S&M and R&D costs. 6. **KPI Dashboard** - ARR, customer count, ACV, NRR, CAC payback (modeled), Rule of 40. ## Frequently asked questions ### Is the Clari financial model free? Yes. The Clari 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.