Direct
explōrātiō runs the study start to finish, in dialogue with the marketing team. Works when there's no internal data function or when the analysis sits outside the current team's scope.
Business Intelligence · Analytical strategy
Every marketing decision is, at heart, a bet.
explōrātiō aims to turn that bet into a real decision, delivering analyses that end in a clear recommendation — with the math on the table, ready to test next month.
18 years in advertising · Dentsu · WPP · Omnicom · Publicis
001 / Who it's for
For those who decide without a data team beside them — or with a team that can't cover everything.
explōrātiō steps in when your team needs a specific analysis and has no room to take it on — whether because there's no data team, or because the team exists and is tied up elsewhere. Each study ends with a recommended action; if the action holds up, next month's numbers show it.
A.
CMOs and marketing heads
When the next committee meeting asks for a case, not a hunch. You need to arrive with mix, price, or creative justified by data — without building a BI function or waiting for the next planning cycle.
B.
Agencies and consultancies
When the end client asks for analysis that goes beyond what creative or media delivery alone can support. explōrātiō steps in as the analytical arm — white label, co-signed, or behind the scenes — and returns the study in the format your agency already presents.
C.
Growth and performance teams
When the optimization cycle has hit the limit of what the media platform shows. You want to know what pairs with what in the basket, when your audience starts searching, which creative deserves the next dollar — without relying only on the tool's dashboard.
D.
SMBs and e-commerce
When hiring a data team still doesn't fit — but staying in the dark doesn't either. A lean pilot on the base you have today, with a recommendation you can run the following week.
E.
Marketing teams with structured BI
When the data team exists, is good, and is at capacity. explōrātiō runs the specific study that would sit six months in the queue — delivered to the technical standard your team can read, audit, and integrate.
002 / How we work with you
Three ways to reach the same analysis.
The delivery is the same. What changes is who sits at the table with you.
With your agency
White label or co-signed, within the project your agency already runs. The analysis reaches the end client in the agency's presentation standard, with the technical depth creative delivery alone doesn't cover.
Alongside your data team
A specific study that fits a short window, delivered to the technical standard your team integrates — base, methodological documentation, and code. Without competing with the internal roadmap; resolving what fell outside it.
003 / Products
Six studies. Each one exists to close a discussion.
You send the base in the format you have today. We return the study with an actionable recommendation — ready for you to test next month and see if we got it right.
Data Clean
Before any analysis can exist, the base has to exist for real.
explōrātiō receives your files as they are today and returns a single base, with written rules and a dictionary, ready for the team to use on Monday.
- Consolidated base in the agreed format (CSV, XLSX, SQL, Parquet)
- Field dictionary in business language
- Documented, auditable transformation rules
- Single adjustment window after delivery
MMM Combined
How much each channel really contributes to revenue, without guesswork.
Shows incremental effect by channel and what changes in revenue when budget moves between them. The budget conversation leaves with scenario, confidence interval, and executive recommendation.
- Incremental contribution by channel with declared method
- Budget reallocation scenarios with revenue projection
- Saturation read and marginal investment headroom
- Executive recommendation ready for committee
Creative Dividend Index
Which creative is generating return — and which is only burning budget.
Crosses media performance, engagement signals, and effectiveness criteria to show each asset's role in the outcome. The decision to scale, pause, or redo comes with numerical justification.
- Creative ranking by return and mix contribution
- Comparative read by format, message, and objective
- Executive recommendation for the next creative round
- Committee-ready package: what to scale, pause, or redo
Price/Demand Elasticity
Before changing price, know how demand responds.
Shows, by SKU and category, how demand shifts when price changes. You receive ready scenarios from −20% to +20% and recommendation by priority SKU for promotion, adjustment, or margin.
- Which categories lose or gain sales when price rises or falls
- How each SKU responds to price variation in the analyzed slice
- Scenarios from −20% to +20% with expected revenue and demand
- Executive recommendation by priority SKU
Basket Analysis
What sells together, with real frequency and commercial impact.
Identifies recurring pairs and combinations in the same basket to guide in-store combos, digital bundles, CRM, and supplier negotiation. Not curiosity: prioritized rules for action.
- Prioritized association rules, with lift beyond raw frequency
- Complement versus substitution read between items
- Actionable scenarios by channel: in-store, digital, and CRM
- Auditable CSV table for BI, trade, and operations
Trends Analyzer
When search demand rises, falls, and becomes a window for action.
Maps, week by week, when interest in brand and category accelerates, slows, or becomes a regional opportunity. The team leaves with an objective calendar for media, content, and operations.
- Annual calendar by term with search seasonality
- Comparison across terms, categories, and brand intent
- Geographic read for regional prioritization
- Auditable CSV series for media, BI, and planning
004 / Manifesto
We don't sell certainty. We sell clarity you can verify.
— 01
Decision before the report.
The final deliverable isn't an 80-page PDF. It's the next action — how much to reallocate, which creative to scale, where to test. If the recommendation holds up, next month's results show it.
— 02
Full transparency.
You see which variables go in, which weights were applied, and where the model stops being reliable. No opaque step, no black box.
— 03
Your data is yours.
Everything you send is used only to run your model — and deleted afterward. Nothing is stored, nothing is trained, nothing is reused in another project.
— 04
Method before opinion.
Every recommendation comes from a named model, with declared formula and accessible methodological reference. Auditable end to end — by anyone who wants to audit.
005
Next step
Thirty minutes to see if it makes sense. Nothing to buy.
The initial conversation is to look at your scenario and say frankly: there's a study here that solves it, or it's not the right moment yet. If yes, we outline the first slice and delivery pace. If not, you still leave with the diagnosis — without having contracted anything.
30-minute conversation, no commitment, no sales proposal at the end.
WhatsApp · reply within 1 business day · plain English, no hard sell
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