The data already holds the answer. Most organisations simply cannot see it. We turn complex signals into decisions leadership can defend in the boardroom.
01
Marketing Mix & Brand
02
Commodity Forecasting
03
Consumer Understanding
04
Pricing & Demand
The data exists. The answer is already inside it.
We extract it before your window closes.
What We Do
From understanding what's happening in your market today to forecasting what comes next — across brand, consumer, marketing, and commodity intelligence. We do not build infrastructure. We transform the data you have into decisions you can defend.
We decompose your sales into every contributing factor — media, price, distribution, seasonality, competitive effects. Every lever is quantified. Budget allocation is optimised forward. ROI becomes a number, not a narrative.
Impact models that translate brand health, NPS, and reputation scores into revenue consequence. We give your brand investment a financial language the CFO will respect.
Beyond what consumers do, we model why. Segmentation, decision-path modelling, and drivers analysis that connect attitudes to purchasing outcomes — and purchasing outcomes to margin.
Our proprietary forecasting product for commodity markets. Predictive models for energy, metals, and agricultural commodities — integrated with macro variables, trade flows, and climate signals. Context alongside the curve.
Short and long-range demand modelling combined with price elasticity analysis. We quantify how price moves volume — and help you optimise both simultaneously to protect margin.
Before committing capital, understand what's possible. We audit your data landscape, score AI opportunities by feasibility and business impact, and deliver a roadmap grounded in what your data can actually support — not a vendor's pitch.
The Firm
Data Juicers is a boutique data intelligence firm based in Madrid. We were built for organisations that need genuine analytical depth without corporate overhead — and for markets where reading the signal before your competitor does is the difference between margin and loss.
We specialise in brand and satisfaction modelling, Marketing Mix Modelling, consumer understanding, and commodity price intelligence — including a proprietary forecasting product for raw materials. We also help leadership teams make sense of their AI opportunity: we assess the data, map what is feasible, and prioritise the cases worth building.
One important distinction: we do not build data infrastructure. We are a transformation firm. We take the data you already have and extract intelligence from it. Our work sits at the boundary of data science, economics, and business strategy — and it is always delivered by the people you hired, not a junior team behind them.
Anyone can run a model. The hard part — and the part that matters — is connecting that model to the real decisions facing your organisation. We deliver interpretation, not outputs.
Many organisations invest in data platforms before knowing what questions to ask. We help you answer the questions first — and build the business case for what infrastructure, if any, is actually warranted.
Every engagement is handled by the people you engaged. No hand-offs to junior analysts. No partner who disappears after kick-off. The people who understand your problem are the people building and defending the model.
Every model we deliver is traceable and auditable. We do not hand over black boxes or confidence intervals without context. If a decision-maker cannot understand why the model says what it says, the model has failed.
Case Studies
Real engagements across chemicals, food service, healthcare, and private equity. Forecasts that improved timing. Models that changed allocation decisions.
Chemical Industry
Short- and mid-term forecasting models for multiple chemical products with negotiated pricing structures. Integrated energy inputs, feedstock dynamics, macro indicators, contract structures, and market volatility signals to support procurement planning and negotiation timing.
Outcome
Defined 3- and 6-month negotiation windows with quantified risk bands. Improved purchasing timing and reduced exposure to adverse price movements.
Food Service / Restaurant Group
Demand forecasting models combining historical sales, seasonality, promotions, weather, and local events. Weekly and monthly forecasts aligned staffing, inventory, and promotional calendar decisions.
Outcome
Reduced forecast error and aligned operational planning with real demand volatility across the estate.
Healthcare (HCP)
Causal models to quantify the incremental impact of medical congresses, field force activity, and educational events on prescription dynamics — isolating event-driven lift from baseline demand.
Outcome
Clear event ROI attribution and reallocation of field effort toward higher-impact territories.
Private Equity
Financial impact model linking customer satisfaction and experience metrics to revenue growth, retention, and margin evolution for a portfolio company. Translated soft KPIs into valuation-relevant performance drivers.
Outcome
Identified value creation levers and supported strategic investment decisions at board level.
FAQ
The questions clients ask before they work with us — and a few they wish they had asked earlier.
The Firm
Marketing Mix & Brand
Commodity Price Intelligence
Engaging with Us