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Causal Models Build Better Plans
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Nucleus Addresses Incrementality Under Intervention:
Which promos and prices would drive incremental profits for Product?
Increase gross margin up to 16%
The Nucleus platform automatically quantifies price elasticity from historical data. Product teams use Nucleus optimizers and what-if scenarios to confidently plan promos that hit sales targets while preserving margin.
Which half of agency spend is actually driving incremental sales from Media?
Increase ROAS up to 411%
The Nucleus platform automatically quantifies how every ad dollar drives incremental sales, including the effects of saturation, awareness and interaction with promos and season. Media teams can right-size and reallocate budgets to boost profits.
What facts can Sales use to justify incremental ordering to retailers?
Decrease time spent up to 80%
The Nucleus platform automatically builds a Sales-to-Consumer (STC) forecast at the individual retail store level, giving Sales fact-based story points to drive incremental retailer purchase volume for upcoming marketing initiatives.
How should Supply quantify the incremental sales of marketing efforts?
Increase forecast accuracy up to 70% points
The Nucleus platform automatically quantifies the incremental sales from marketing plans of promos and ad spend while making it easy to collaboratively fold those plans into more accurate S&OP.
What Nucleus
clients are saying
Once we started using Nucleus for our ad spend budget planning, we saw immediate opportunities to improve ROAS. We quickly learned which tactics just weren’t driving results and relied on the Ad Spend Optimizer to continuously replan and improve.
Matt
Alldian
With Well Principled, we created a supply chain “nerve center”, being able to optimize costs and resources with machine learning, while funneling in input from customers, finance and commercial which led to best-in-class results in new product forecast accuracy.
Scott
King
With WP Nucleus we’re more confident in who we target, what products to promote, and the investment needed to scale return. The intelligence and automation it provides has greatly improved our efficiency.
Kevin
Marsh
Solving these Problems Requires More than just Analytics
Data
Curation
You can't curate data you don't know is bad. Know how to spot it.
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Fit For Purpose
A.I.
You don't trust you have the best plan. Use causal models.
Scenario-
Based Execution
"Actionable insights" never are. Drive process change.
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What’s Wrong With “Data-Driven Decisions”
Well Principled removes the ??? from data driven decision making with causal models
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