# Pistil Data Financial Model Cannabis market-intelligence SaaS platform that ingests public dispensary/eCommerce data and delivers sales-rep-level prospecting and competitive intelligence to cannabis brands. - Canonical: https://finamodel.com/startups/pistil-data - Excel download: https://finamodel.com/startup-models/pistil-data.xlsx - Category: Consumer/DTC - Model type: SaaS ARR / Valuation - Funding round: Seed - Funding: $65M - Founded: 2021 - Geography: California and Colorado live as of July 2021; targeting 15 US states by Q4 2022 [DECK slides 7, 12] - Customer: B2C ## About the company Pistil Data is a cannabis market-intelligence SaaS platform that ingests public dispensary and e-commerce data. It gives cannabis brands sales-rep-level prospecting and competitive intelligence, turning fragmented market signals into actions for commercial teams. The company sells subscription software to cannabis brands, with retailers planned as a future customer group. California and Colorado were live in July 2021, and the roadmap targeted 15 US states by the fourth quarter of 2022, making geographic coverage a primary growth driver. The model builds ARR from new logos, seats, and data modules, then adds expansion and churn. State launches, data acquisition, compliance, sales cycles, gross margin, R&D, and customer retention determine the capital requirements of scaling the vertical data platform. ## 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 - Product "Pistil for Brands" launched February 2021 in California; Colorado added June 2021 - Mobile-first app with four modules: Prospect, Upsell, Intel, Leaderboard - Core use case: territory sales reps identify new dispensary accounts (prospects), win-back lapsed accounts, and upsell existing accounts - without needing a laptop in the field - Data engine: 1B+ data points/day ingested from public eCommerce menus and public APIs; two years of IP built by a team of 15 engineers and data scientists - Pipeline planned: "Pistil for Retailers" (named on slide 6 as a future segment); platform designed to serve retailers, distributors, MSOs, investors, ancillaries, and brands - Positioning analogy: Bloomberg for Finance → Google for Internet → Salesforce for CRM → Oracle for Enterprise → Pistil for Cannabis ## Revenue model - SaaS subscription sold to cannabis brands; billing cadence not stated - Unit of sale: appears to be per-brand (enterprise/team subscription), with the territory sales rep as the end-user - Specific pricing tiers, seat counts, or ACV not disclosed in the deck - Future products for retailers planned but not yet launched as of July 2021 ## Traction & metrics - ~32 named customer logos displayed on "Broad Industry Adoption" slide; customers span brands, distributors, and ancillaries. Notable names include Plus Products, Kanha, Connected, HERBL, Flow Kana, Claybourne Co., Glass House Farms, Cannacraft, Lowell Herb Co. - No ARR, MRR, revenue growth, churn, or NRR figures disclosed - Qualitative customer ROI quotes only: e.g., "I won 14 new accounts using Pistil last quarter" (Anthony Bendana, Plus Products) ## Competition / moat - Identified competitive gap: legacy data solutions and "sub-par market intelligence" in cannabis - Moat claims: two years of proprietary IP; ML applied to cannabis-specific data challenges; 1B+ data points/day at ingestion scale - No named competitors listed; competitive framing is against the status quo (sales reps manually browsing Weedmaps 10–15 hrs/week) ## Team & funding ask / use of funds - Jeffrey Graham, PhD - CEO - Taylor Jones - VP, Revenue & Customer Success - Team described as technologists with deep cannabis market knowledge; 15 engineers and data scientists referenced - Round: Series Seed; raise amount not disclosed - Use of funds: 18-month runway; national rollout, new product features, new products for brands and retailers - Geographic expansion goal: 15 states by Q4 2022: WA, OR, CA, NV, AZ, AK, CO, OK, IL, MI, PA, FL, ME, MA (14 states visible on map - likely 15th unlabeled or MA counts separately) ## Recommended financial model - **Archetype + why:** B2B vertical SaaS ARR model. Revenue is subscription-based, sold to cannabis brands on a per-account basis. The key operating metric is ARR built through new logo adds and state-by-state geographic expansion. Classic SaaS P&L with R&D, S&M, and G&A. - **Forecast horizon & granularity:** Monthly for 18 months (matching stated runway use-of-funds period), then annual to Year 3. State-by-state rollout logic driving cohort adds. - **Key drivers & assumptions:** | Driver | Value | Source | | -- | -- | -- | | States live at model start | 2 (CA, CO) | - | | Target states by Q4 2022 | 15 | - | | Approx. current customers at raise | ~32 logos | - | | Months of runway funded | 18 | - | | ACV per brand customer | $10k–$30k/yr; B2B vertical SaaS at seed stage with field-sales buyer; no deck data | | Avg. addressable brands per state | 50–200 active licensed brands; varies by market maturity | | New logo adds per state per month (post-launch) | 3–8; ramp over 3–6 months per state | | Gross churn (annual) | 15–25%; early-stage SaaS, nascent market | | Gross margin | 65–75%; data infra costs will be meaningful given 1B+ data points/day ingestion | | Headcount at raise | ~17 (15 eng/data + 2 named execs); likely 20–25 total with sales | | S&M as % of revenue | 40–60%; high for land-and-expand in early geographic rollout | | R&D as % of revenue | 35–50%; core IP-building phase | - **Scenarios (Base / Bull / Bear - which variables flex):** - Base: Reach 15 states by Q4 2022; 3–5 new logos/state/month; ACV $15k - Bull: Faster state ramp (all 15 by Q2 2022); 6–8 logos/state/month; retailer product launches mid-2022 adding second revenue line - Bear: Only 8–10 states by Q4 2022; 2–3 logos/state/month; ACV pressure to $10k; cannabis regulatory slowdowns in key states - **Required sheets / outputs:** 1. Assumptions - all drivers in one place; state launch calendar 2. Revenue build - state × month cohort model: new logos, churned logos, active logos × ACV 3. P&L - Revenue, COGS (data infra), Gross Profit, S&M, R&D, G&A, EBITDA 4. Headcount plan - by function (Eng, Data, Sales, CS, G&A); drives S&M and R&D 5. Cash flow - Operating cash + Seed raise proceeds; runway bridge to next round 6. KPI dashboard - ARR, logo count, states live, net new ARR, burn rate, runway months 7. Scenario toggle - Base / Bull / Bear ## Frequently asked questions ### Is the Pistil Data financial model free? Yes. The Pistil Data 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.