PRProlific Financial Model
Marketplace Startup Financials (Free Excel Download)
Online research participant recruitment platform connecting researchers with a verified, incentivised participant pool
professionals from Deloitte
Used by professionals from
About this model
Prolific is a research-participant recruitment marketplace connecting researchers with a verified, incentivized participant pool. Its self-serve platform supports study design and targeting, while identity checks and quality controls aim to produce more reliable research responses.
The platform has more than 30,000 researchers and 100,000 active verified participants. Researchers fund participant incentives and Prolific retains 25% of GMV, serving both repeat academic customers and faster-growing corporate research clients.
The model builds study spend from researchers, studies per researcher, average project value, and customer mix, then applies the 25% take rate. Participant supply, study completion, quality control, payment timing, and segment retention drive the marketplace economics. Academic expansion and corporate adoption should be forecast separately.
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 Prolific
How to build a detailed financial model for Prolific
A complete walkthrough of the business, drivers, and assumptions behind the downloadable Prolific model - distilled from its pitch deck and publicly available information.
Product & value proposition
- Research participant recruitment platform at www.prolific.co
- 100,000+ active, verified participants screened via ID checks, ML, and behavioural controls
- Integrations with thousands of third-party research platforms
- Claims empirically superior data quality vs. alternatives
- Researchers use self-serve platform to design studies, target segments, and collect responses
- Participant pool broken into Academic, Corporate, and Other segments
Revenue model
- Marketplace take-rate model: Prolific charges a percentage of GMV (spend by researchers on participants)
- Take rate: 25% (Rev/GMV)
- Revenue = GMV × 25%; balance goes to participants as incentives
- Two customer segments: Academic institutions (subscription/repeat purchase pattern) and Corporate / non-academic (project-based, growing rapidly)
- No per-seat or SaaS fee structure described; purely transaction/usage-based on participant spend
Traction & metrics
- >£ monthly revenue (bootstrapped to this level)
- £ Revenue 2022; ~£m GMV 2022
- 7x growth since YC S19 (batch: Summer 2019)
- 25% take rate (Rev/GMV)
- 30,000+ researchers from world-class institutions
- 100,000+ active, verified participants
- 90+ employees
- Land-and-expand pattern visible in top-institution bar charts (CY2017A–CY2021A): each top institution grows revenue year-on-year; CAGR labels present but values redacted
- Non-academic revenue growing rapidly, starting near zero and showing steep acceleration as of Dec 2022
- "Recent AI customer journey" chart shows Revenue and GMV prepaid both growing sharply in the most recent periods
Unit economics
- 3-year institutional retention:% of academic institutions; 100% for Ivy League & Russell Group
- 2-year researcher retention:% across individual researchers
- YoY revenue expansion within institutions (rate redacted) - confirms NRR > 100% pattern
- Take rate of 25% is the primary gross margin driver; no COGS, S&M, or contribution margin figures disclosed
Competition / moat
- Primary named competitor: Amazon Mechanical Turk
- Prolific claims superiority on: High Data Quality, Excellent Participant Experience, Control/Customisation, Audience Segmentation, Multipart/Tracker Studies
- Moat sources cited: fair incentives driving participant quality, network effects (participant pool size), ML/behavioural screening, platform integrations, institutional stickiness (100% Ivy/Russell retention), expanding participant diversity
Team & funding ask / use of funds
- CEO & Co-Founder: Phelim Bradley, Ph.D. (University of Oxford)
- COO: Jim Moodie
- VP Finance: Jess Fiander (ex-PwC)
- VP Engineering: Matt Tuplin (ex-Cinch)
- VP Product: Sara Saab (ex-Charlotte Tilbury)
- VP People & Ops: Wahida Samie (ex-Monzo)
- Board: Enrico D'Angelo (Parkwalk)
- Advisors: David Rothschild Ph.D. (Microsoft/Yahoo), Badr Khan (ATG/Matches Fashion)
- Funding ask: "Raising to accelerate growth" - amount not stated
- Use of funds: Sales & Marketing; AI Research R&D (specialised/exclusive participants, annotation integrations); Enterprise expansion (infra, privacy/security, scaling Sales & CS); US market entry
Recommended financial model
- Archetype + why: Usage-based marketplace GMV model with two-segment revenue split (Academic vs. Corporate/Non-Academic). Revenue = GMV × 25% take rate; GMV is driven by researcher count × studies per researcher × average study spend. Two cohorts behave differently: Academic is sticky/expanding (land-and-expand); Corporate/AI is hypergrowth from a small base. This is not a SaaS ARR business - there are no fixed subscription fees - so a pure ARR model would misrepresent the economics. A 3-statement model wrapping the GMV engine is appropriate given the company has 90 staff and is fundraising.
- Forecast horizon & granularity: 3 years (CY2023–CY2025), monthly for year 1, quarterly for years 2–3. YC S19 was mid-2019; with 7× growth since then the business has meaningful history; annual actuals from CY2017 exist for top institutions.
- Key drivers & assumptions:
- Take rate: 25% - hold flat as base case; flex in scenarios
- Academic researcher count growth rate: ~25% YoY; historical land-and-expand pattern supports ongoing institutional expansion; 30,000+ researchers on platform today
- Average annual spend per academic researcher: derive from implied GMV ÷ researcher count once actuals disclosed; proxy ~£2,000–£5,000/researcher/year
- Academic institutional retention (3-year): >90% implied by 100% for Ivy/Russell Group; blended 85–90% for model
- NRR within institutions: >100% confirmed; 115–125% blended
- Corporate/Non-Academic GMV growth: 150–200% YoY in near-term given steep acceleration from near-zero; taper to 60–80% by year 3 as base grows
- Non-academic mix shift: grows from ~15–20% of GMV in 2022 to ~35–40% by 2025 as AI Training demand compounds
- Participant pool growth: grows in line with GMV; participant pay-out = GMV × 75% (inverse of take rate)
- Headcount: 90+ today; scales to ~130–160 by end of year 2 given US expansion and Sales/CS scaling
- COGS: primarily infrastructure + participant trust/safety operations; ~15–20% of revenue
- Gross margin: ~80–85% (marketplace economics, low direct COGS)
- S&M: ~25–35% of revenue, rising with US expansion push
- R&D: ~20–25% of revenue, elevated given AI Research R&D investment planned
- G&A: ~10–15% of revenue
- Scenarios (Base / Bull / Bear - which variables flex):
- Base: Corporate GMV grows 150% YoY → 80% → 50%; Academic NRR 115%; take rate held at 25%
- Bull: Corporate GMV 200%+ (AI Training demand spike); Academic NRR 125%; US expansion lands 2 enterprise accounts in year 1
- Bear: Corporate growth moderates (AI Training commoditises); Academic NRR 105%; take rate compression to 20% as competition intensifies; US expansion delayed 12 months
- Required sheets / outputs:
- Assumptions - all drivers in one place, toggle-able
- GMV Build - Academic vs. Corporate splits; researcher cohort model with retention + expansion
- Revenue & Take Rate Bridge - GMV → Revenue reconciliation
- P&L (Income Statement) - Revenue, COGS, Gross Profit, OpEx (S&M / R&D / G&A), EBITDA, EBIT
- Headcount Plan - by function, tied to S&M and R&D spend
- Cash Flow & Runway - key given fundraise context; show months of runway at each scenario
- Balance Sheet (simplified) - for completeness; participant payables are key working capital item
- Scenario / Sensitivity Toggle - 3-way scenario + sensitivity on take rate and Corporate GMV growth
- Dashboard - KPI summary: GMV, Revenue, Take Rate, Researcher Count, Gross Margin %, EBITDA Margin %, Runway
Frequently asked
Is the Prolific financial model free?+
Yes. The Prolific 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 Prolific'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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