Clean the data spine
Campaign taxonomy, UTMs, source-of-truth logic, metric definitions, and dashboard QA.
Media analytics and growth measurement
Know what is actually driving growth.
Parthenocarpic helps DTC and eCommerce teams clean up reporting, measure incrementality, and make media decisions with less attribution noise.
- 01 / Incrementality
- Estimate what media adds beyond baseline demand.
- 02 / Data discipline
- Clean naming, UTMs, definitions, and source logic.
- 03 / Planning clarity
- Turn reporting into budget scenarios and next moves.
For teams outgrowing platform dashboards
Marketing data is easy to collect. It is harder to trust.
Ad platforms, attribution tools, Shopify reports, CRM exports, and agency dashboards often disagree. That disagreement slows decisions because nobody is quite sure which number should govern the next budget move.
Parthenocarpic builds the analytical layer between those systems: the definitions, measurement logic, operating views, and plain-English readouts that help teams separate signal from reporting noise.
Services
Focused support where measurement usually breaks.
Media analytics and paid reporting
Decision-ready views across paid social, search, email, retention, and commerce data.
Marketing data cleanup
UTM, naming, taxonomy, source-of-truth, and dashboard cleanup so performance can be compared consistently.
Incrementality analysis
Geo tests, holdouts, lift reads, and practical experiment design to estimate what media actually adds.
MMM and measurement support
Data preparation, model interpretation, scenario planning, and executive communication for MMM programs.
Dashboarding and insights
Readable dashboards and weekly insight rhythms that explain what changed, why it matters, and what to do.
Forecasting and scenario planning
Spend, revenue, CAC, MER, and contribution scenarios for budget planning and growth tradeoffs.
Measurement philosophy
Attribution is an input. It is not the answer.
Platform-reported ROAS can be useful, but it often rewards the channels best positioned to claim credit. Strong measurement combines attribution, incrementality, business context, and disciplined forecasting.
The goal is not a perfect model. The goal is a clearer operating picture: which growth drivers are durable, which channels are saturated, and which decisions need better evidence before the next budget move.
Flagship insight
Attributed revenue is not incremental revenue.
Platform ROAS can be useful, but it often blends real lift with demand that already existed. This is one of the most expensive misunderstandings in growth planning.
Read the articleWhere Parthenocarpic helps
Built for teams that need senior analytics judgment without hiring a full department.
- Founder-led DTC brands trying to understand profitable growth.
- Growth-stage startups with more data than analytics bandwidth.
- Small marketing teams that need reporting, measurement, and planning support.
- Agencies that need white-label analytics depth for sophisticated clients.
Process
Start with the business question, then build the measurement around it.
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01
Audit the decision
Clarify the budget, channel, customer, or growth question the analytics needs to answer.
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02
Clean the inputs
Review source data, naming conventions, tracking coverage, and reporting definitions.
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03
Measure the signal
Use the right mix of reporting, experiments, incrementality reads, and forecasting.
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04
Translate into action
Deliver the operating view, tradeoffs, and next decisions in plain business language.
Work together
Bring a sharper measurement lens to your next growth decision.
Share the question you are trying to answer, the systems involved, and where the current reporting breaks down.
Start a conversation