What's the Impact?
Causal Research for Marketing, Product,
and Data Science Partners
Why Causal Research?
Sales have increased following a new marketing campaign. Conversion rates have fallen after a feature launch or website change. Were these due to the team's changes or external factors out of our control?
Return on ad spend (ROAS) looks great at a glance, but how many of those conversions would have gone through organic SEO links if paid ads weren't there?
We're considering investing in insurance against a bad outcome for our users, but not sure how much our customers would penalize us if that bad outcome occurs. We certainly don't want to experiment with negative experiences; how do we find the cost of such events?
Causal research can help to answer these difficult questions, even when experimentation is not a viable option and we are left with only observational data. Results can inform marketing budgets, product decisions, headcount, and more.
About Us
Jonathan Hershaff, PhD
Jonathan Hershaff is a Data Scientist and Economist with a PhD from the University of Michigan. He has more than a decade of experience in causal modeling, having worked at the Federal Reserve (DC), Wells Fargo, the Securities and Exchange Commission (SEC), Collage.com (sold startup), Stripe, and AirBnb.
Dr. Hershaff had research cited in a winning US Supreme Court Case, has testified as an expert economic witness teaching a Grand Jury about investor advisor fraud, published in peer-reviewed journals, and presented at multiple economics and public policy conferences.
While in the tech sector, Dr. Hershaff worked closely with both C-suite executives and senior leadership across marketing, sales, product, and engineering. He also has extensive experience partnering with SEC and DOJ attorneys.
Request a consultation
Schedule a risk-free, no-obligation, no-sales-pitch call today to discuss your research needs, and whether this partnership is a strong fit.
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