Dr. Sarah Zou, PhD economist for early-stage tech
PHD ECONOMIST

Fractional Chief Economist for Tech

Pricing, metrics, and economic storytelling for founders who need investor-grade decisions fast.

What Makes Me Different

Rare blend

Pricing + unit economics + econometrics in one person. Most firms split this across CFO/RevOps/DS; I design the whole economic system end-to-end.

Research-grade rigor

I treat each engagement like an academic study: hypotheses → models → experiments → decisions. Methods are documented; assumptions are explicit.

Funder-friendly outputs

Board-ready artifacts (GM waterfall, NRR/LTV bridges, payback guardrails, elasticity write-ups) that withstand diligence—not just pretty decks.

Fast, testable decisions

Sprints ship answers in 1–2 weeks with a 90-day experiment plan. No "more analysis" stall; every recommendation is testable.

How I Can Help

Fractional Chief Economist for early-stage tech startups. I turn pricing + unit economics + rigorous modeling into investor-grade decisions.

LET'S WORK TOGETHER

Frequently Asked Questions

What is a fractional chief economist?

A fractional chief economist is a part-time executive who designs your pricing system, unit economics, and decision cadence—bringing PhD-level rigor without a full-time hire. Learn more about fractional economics services.

How is a Fractional Chief Economist different from a Fractional CFO?

A fractional CFO manages cash, reporting, controls, and fundraising mechanics. A fractional chief economist designs the engines that create cash—pricing, packaging, and the economic system that drives NRR, payback, and gross margin.

How is a Fractional Chief Economist different from RevOps?

RevOps optimizes the GTM machine (CRM hygiene, pipeline stages, handoffs, comp plans). A fractional chief economist defines what you sell and why it's worth the price (value metric, fences, monetization playbook) and then sets the economic guardrails RevOps executes against.

Who do you work with?

Pre-seed to Series A teams across SaaS, APIs, AI, OSS-commercial, operator-led marketplaces, and hardware-as-a-service that want rigor without enterprise bloat. See who I work with.

How fast do we see impact?

Decisions ship in 1–2 weeks via focused Monetization Sprints or Metrics Sprints, with measurable effects typically within 2–4 weeks and a 90-day experiment plan to learn fast.

What makes your approach different?

Combine pricing + unit economics + econometrics in one person; every recommendation is hypothesis-driven, documented, and testable, producing board-ready artifacts like pricing strategy reports and unit-economics models.

What do engagements look like?

Start with a 30-min consult → choose a Monetization Sprint or Metrics Sprint → optional retainer for ongoing pricing, forward models, and the experiment cadence.

What does it cost?

Sprints are fixed-fee ($5k–$18k for Monetization; $6k–$12k for Metrics) with defined deliverables and timelines. Retainers start at $4k/mo with tiered time commitments.

Do you work with our existing analytics stack?

Yes—common tools include GTM, GA, Amplitude, and Mixpanel. I integrate with your stack and keep instrumentation "light but correct" so dashboards stay trustworthy.

Where do you work from?

Remote first; based in Princeton/NJ with on-site availability in the NYC and Philadelphia metros; US/EU coverage. See where I work.