# Sourcepoint Financial Model Enterprise SaaS consent management and data privacy compliance platform for digital publishers and brands. - Canonical: https://finamodel.com/startups/sourcepoint - Excel download: https://finamodel.com/startup-models/sourcepoint.xlsx - Category: Enterprise/Security - Model type: SaaS ARR / Valuation - Funding round: Venture - Funding: $17M - Founded: 2020 - Geography: Global (US-primary; explicitly covers GDPR jurisdictions across Europe and CCPA in California; international expansion referenced across 20+ countries). - Customer: B2B ## About the company Sourcepoint provides consent-management and data-privacy compliance software for digital publishers and brands. Its platform addresses GDPR and California privacy requirements, helping customers manage consent and understand the impact of privacy choices across digital properties. Dialogue CMP and Diagnose Insights are distinct enterprise product lines that can be sold together or expanded within an account. The company positions itself as enterprise SaaS and operates across more than 20 countries, making recurring annual contracts and cross-sell more relevant than one-off implementation revenue. The model builds ARR by product, starting with new logos and ACV, then adding cross-sell, expansion, and retention. Delivery costs, sales capacity, product mix, gross margin, and operating expenses translate the commercial plan into cash-runway 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 Two integrated products: **Dialogue - Consent Management Platform (CMP)** - Consumer-facing privacy notice and preference UI (browser, in-app iOS/Android, OTT, AMP). - Captures, manages, and syndicates opt-in/opt-out consent signals to vendor ecosystems. - Compliant with IAB TCF v2, US Privacy string (CCPA), and non-IAB vendors. - Custom message builder, A/B testing, campaign management, branded white-label UX. - Subject rights request management (email, SMS, phone). **Diagnose - Insights / Vendor Assessment** - Proprietary scanning technology; no on-page script required. - Flags unauthorized vendors, data leakage, fraudulent consent strings, high-latency tags, high error-rate vendors. - Benchmarks vendor prevalence across client and peer sites. - Feeds curated vendor lists back into Dialogue CMP (automated feedback loop). Value proposition: transparent, compliant consumer data experience that improves consent rates and protects brands from regulatory fines. ## Market No explicit TAM/SAM/SOM figures in deck. Contextual market signals provided: - 83% of consumers concerned about data privacy. - 66% believe more governments should pass consumer privacy legislation. - Publisher revenue decreases 52% on ad impressions without cookies. - $26.5B of location-based advertising put at risk by Apple iOS changes. - GDPR fines: British Airways $230M, Marriott $123M. - Regulatory footprint: GDPR (EU), CCPA (CA), 16+ US state laws proposed, 20+ international jurisdictions. ## Revenue model Not explicitly stated in deck. Inferred from product and SaaS positioning: - Enterprise SaaS subscription - annual contracts with publishers, media owners, and brands; likely per-property or per-seat licensing. Rationale: deck describes "enterprise SaaS platform"; product includes campaign management, A/B testing, subject rights management - features priced at enterprise tier. - Two SKUs: Dialogue CMP (core) + Diagnose Insights (upsell/add-on). Rationale: products presented separately with distinct feature sets and branding; Diagnose presented as add-on to Dialogue workflow. - Professional services / implementation fees likely given white-label CMP customization and GDPR/CCPA compliance complexity. Rationale: standard for enterprise regtech/adtech deployments. - No pricing tiers, ACV, or contract terms disclosed. ## Traction & metrics - "Since 2015, our technology has been deployed across the world's largest brands". No customer count, revenue, or growth rates given. - No ARR, MRR, customer logos, retention rate, NRR, or growth metrics disclosed anywhere in the deck. - Demo customer referenced in Diagnose dashboard: "REDBUD" (appears to be a named client example on the Diagnose Compliance dashboard image). ## Competition / moat Not explicitly named in deck. Moat articulated through: - First-mover claim: "first to combine consumer privacy compliance and user experience optimization". - Proprietary scanning technology (no on-page script required - deployment advantage). - Automated Dialogue + Diagnose feedback loop as integrated platform vs. point solutions. - Founder pedigree as differentiation: Admeld ($400M to Google 2011), LiveRail (to Facebook 2014), DoubleClick (to Google) - deep adtech/martech relationships implied. ## Team & funding ask / use of funds **Team:** - Ben Barokas - Co-Founder & CEO. Founded and sold Admeld to Google ($400M, 2011); post-acquisition GM Global Marketplace Development at Google. Prior: JumpTV, AOL. - Brian Kane - Co-Founder & COO. COO of LiveRail (acq. Facebook 2014) and Admeld (acq. Google 2011); 9 years at DoubleClick (early employee). --- ## Recommended financial model - **Archetype + why:** Enterprise SaaS ARR model. Company self-describes as "enterprise SaaS platform", sells annual subscriptions to publishers/brands, with two distinct product lines (Dialogue CMP + Diagnose Insights). Standard SaaS ARR / cohort build is appropriate. No M&A, SPAC, or marketplace structure indicated. - **Forecast horizon & granularity:** 5-year annual model (Year 1–5), with Year 1 broken into monthly columns for cash flow / runway visibility. Given no disclosed traction, Year 1 should be treated as near-term build with sales ramp assumptions. - **Key drivers & assumptions:** - New logos per year (enterprise sales): Start with ~10–20 new enterprise clients in Year 1, scaling 50–80% YoY as regulatory tailwinds drive urgency. Rationale: adtech/regtech sales cycles are 3–6 months; two ex-adtech founders with existing relationships accelerate early pipeline. - Average contract value (ACV): $60K–$120K/year for mid-market publishers; $150K–$300K+ for large enterprise/global brands. Rationale: enterprise CMP+compliance suite with GDPR/CCPA coverage; comparable to OneTrust, Didomi enterprise pricing. - Product mix - CMP-only vs. CMP+Diagnose bundle: 60% CMP-only, 40% bundle in Year 1; bundle share grows to 60%+ by Year 3 as Diagnose upsell matures. Rationale: Diagnose presented as incremental add-on value proposition. - Gross revenue retention (GRR): 85–90%. Rationale: enterprise SaaS with compliance mandates creates stickiness; churn risk is customer budget cuts or in-house builds. - Net revenue retention (NRR): 105–115%. Rationale: upsell from CMP-only to CMP+Diagnose bundle, plus property/site count expansion within accounts. - Gross margin: 70–75%. Rationale: SaaS software with minimal COGS beyond hosting and support; custom implementation work reduces margin from pure-software 80%+ ceiling. - Sales & marketing as % of revenue: 40–50% in early years, declining to 25–30% at scale. Rationale: enterprise SaaS with specialist sales force targeting regulated publishers/brands. - R&D as % of revenue: 20–25%. Rationale: proprietary scanning tech (Diagnose) + IAB compliance roadmap requires ongoing engineering. - G&A as % of revenue: 10–15% declining with scale. - Headcount: Seed team of ~20–30 FTEs at model start (founded 2015, no headcount disclosed); sales capacity model should drive new logo assumptions. - **Scenarios (Base / Bull / Bear - which variables flex):** - Bear: slow enterprise sales cycle (new logos -40% vs. Base), ACV at low end ($60K), GRR 80% (non-compliance budget cuts or point-solution displacement). - Base: 50–80% YoY logo growth, ACV midpoint, GRR 88%, NRR 108%. - Bull: regulatory acceleration drives shortened sales cycles, ACV at high end, NRR 120%+ (Diagnose upsell broadly adopted, international expansion adds new logos faster). - Flex variables: new logo count, ACV, NRR, gross margin (if professional services mix rises). - **Required sheets / outputs:** 1. Assumptions - all drivers in one place, clearly tagged. 2. Revenue build - new logos, logo cohorts, ARR bridge (New ARR + Expansion - Churn), MRR waterfall for Year 1. 3. P&L - revenue, COGS, gross profit, S&M, R&D, G&A, EBITDA, net income. 4. Headcount plan - by function (Sales, CS, Eng, G&A), tied to revenue capacity model. 5. Cash flow / runway - operating CF, capex, cash balance. Critical given no funding ask disclosed. 6. KPI dashboard - ARR, NRR, GRR, CAC, LTV, LTV:CAC, payback period, logo count, ACV. ## Frequently asked questions ### Is the Sourcepoint financial model free? Yes. The Sourcepoint 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.