Clarity over volume
Useful analytics reduces confusion. It should not create more dashboards for leaders to decode.
About Parthenocarpic
Analytics for teams that want clearer growth decisions.
Parthenocarpic is a Chicago-based boutique media analytics and marketing measurement consultancy built for growth-stage, DTC, and eCommerce teams that need cleaner reporting and a more honest view of what is driving growth.
Entity summary
Parthenocarpic is a media analytics and marketing measurement consultancy.
The firm helps DTC, eCommerce, growth-stage, founder-led, and lean marketing teams clean up marketing data, improve paid media reporting, separate platform attribution from true lift, and plan media budgets with more clarity.
Core services include paid media reporting cleanup, marketing data cleanup, incrementality analysis, MMM support, dashboarding and insights, scenario planning, forecasting, and white-label analytics support for agencies.
Point of view
Better measurement starts with better questions.
Many teams have more marketing data than they can confidently use. Attribution tools, ad platforms, commerce reports, CRM exports, and dashboards all tell partial stories. The work is to understand which story is useful for the decision in front of the team.
Parthenocarpic focuses on the analytical layer between raw reporting and business judgment: clean inputs, incrementality thinking, scenario planning, and clear communication about what the data does and does not prove.
Founder-led measurement
Parthenocarpic is led by Vaidehi Madhu, an analytics operator trained to make messy growth data useful.
Vaidehi brings experience from Amazon, AWS, and Grubhub, with graduate training across statistics and data science. Parthenocarpic reflects that combination: rigorous enough for complex data, practical enough for lean teams that need decisions, not academic theater.
The firm was built for the gap between day-to-day marketing reporting and senior measurement strategy. Many brands have platform dashboards, commerce reports, retention data, and agency updates, but still lack a clear answer to the question that matters: what should we do next?
The work is intentionally focused: clean the inputs, pressure-test the attribution story, translate uncertainty into useful decisions, and help teams move from dashboard debate to a more defensible growth plan.
Operating principles
Small, practical, and decision-oriented.
Evidence over platform credit
Attribution is a signal, not the final answer. Incrementality and business context matter.
Clean inputs first
Before advanced measurement, teams need naming, UTMs, definitions, and source logic they can trust.
Plain-English readouts
The output should help founders, operators, and growth leads make decisions without translation theater.
Honest uncertainty
Good measurement explains confidence, caveats, and what still needs more evidence.
Practical next steps
Every analysis should point toward a decision, a test, a cleanup step, or a planning assumption.
Best fit
For teams that need senior analytics judgment without building a full analytics department.
- DTC and eCommerce brands Teams looking for an eCommerce analytics consultant who can make acquisition, retention, and profitability easier to read.
- Founder-led teams Operators who want to understand growth without getting trapped in platform dashboards.
- Agencies Partners that need white-label analytics support for reporting, measurement, and client readouts.
What trust looks like here
Clear assumptions, practical evidence, and no inflated claims.
Separate facts from assumptions
Every recommendation should make clear what the data shows, what is inferred, and where confidence is limited.
Write for decisions
Readouts should be understandable to founders, operators, agencies, and growth leads without losing analytical rigor.
Avoid fake proof
No invented case studies, unverifiable claims, or performance promises. The credibility comes from method and judgment.
Work together
Start with the decision your current reporting cannot answer.
Share the growth question, reporting conflict, or planning decision your team is trying to work through.
Request a measurement review