Frequently asked questions
Investment, timelines, data, privacy, and delivery format — direct answers before the 30-minute call. If your question is not here, send it on WhatsApp; most resolve in three messages.
What you need to know before the first conversation.
How does pricing work?
Each product has its own scope and investment, defined by your case, data volume, and level of customization. In the 30-minute intro call we show exactly what you will receive, how long it takes, and at what cost. You hire the product you need, when you need it — and, if it makes sense, move on to new products or a recurring cadence.
How long from contract to deliverable?
Timelines vary by product and data volume. Data Clean is the fastest (1 to 3 weeks); Basket Analysis and Trends Analyzer usually take 2 to 6 weeks; Creative Dividend Index and MMM Combined need a longer window (3 to 12 weeks, depending on scope). In the intro call we align on a specific schedule for your case.
What data do I need ready to start?
You send data in the format you already have — CSV, spreadsheet, GA4 export, Meta Ads, Google Ads, your e-commerce platform, or ERP. We do not require a data lake, corporate BI, or a ready pipeline. If the base is messy, Data Clean fixes the foundation before any analysis — and we say so plainly when that is the case.
Do we need an internal data or BI team?
It depends on how you want to enter. If you do not have a data team, explōrātiō delivers the study directly, in language the committee and operations can read. If you have a data team, we deliver in the technical standard it integrates — clean base, methodological documentation, code when applicable. Both paths work.
How do you handle privacy and data protection?
Your data is used exclusively to run your model and deleted afterward. Nothing is stored for reuse, nothing trains any system, nothing crosses into other projects. We sign an NDA before any transfer and operate under a DPA when required.
Who are your clients — companies, agencies, or internal teams?
We serve all three, and each arrives differently. Companies (SMBs, mid-size, enterprise) that need a specific analysis without building a data function — explōrātiō acts as a direct analytical layer. Agencies and consultancies in white label or co-signed model — we deliver under the agency brand or behind the scenes. Marketing teams with structured BI that need the study that would sit six months in the internal queue — we deliver in the technical standard the team integrates.
What exactly do I receive at the end?
It depends on the product, but the standard always has four elements: executive report in PDF (and PPTX on larger packages), calculation workbook in CSV (auditable and integrable), guided readout session with whoever ran the study, and a single adjustment window after delivery. Each product page details the specific deliverables.
Why hire you instead of an MMM/analytics SaaS tool?
SaaS works when your case fits the vendor's template. When it does not — different taxonomy, local channel, B2B mix, atypical seasonality — you are stuck with the default configuration. Here, the model is built for your case and the calculation stays visible. No mandatory subscription, no platform lock-in, no black box.
How do I know the result is reliable and not "guesswork with a chart"?
Every deliverable includes (a) confidence interval, (b) list of variables used and discarded, (c) limits of model validity, (d) methodological reference (established paper or book). You — or a third-party auditor — can reproduce the calculation. Where the model stops being reliable, we say so openly.
How do I get started?
A 30-minute conversation on WhatsApp, no obligation. In the call, we look at a sample of your data, recommend the product that makes the most sense, and show timeline and investment. No 40-page proposal, no sales pressure. If your case does not fit any product, we say so plainly — and point you to who fits, when we can.
Do you offer white label for agencies?
Yes. In white label, the study reaches the end client under the agency brand — including PDF, slides, and even adapted tone of voice. In co-signed delivery, explōrātiō appears as technical partner. In behind-the-scenes delivery, the agency passes the result without mentioning explōrātiō. The format is decided in the briefing, before scope is locked.
We already have a BI team. How do you fit in without disrupting what exists?
Delivery arrives in the technical standard your team integrates — CSV, SQL, Parquet, methodological documentation, code when applicable. We do not compete with the internal roadmap: we run the specific study that would sit months in the queue, in the standard your team can read, audit, and extend. When delivery requires your data warehouse nomenclature, we align in the briefing.
Do you offer recurring retraining or ongoing coverage?
Yes, on an annual or quarterly basis, depending on the product. MMM Combined and Price/Demand Elasticity have recurrence models (retraining + readouts each cycle); Basket Analysis, Trends Analyzer, and Creative Dividend Index are usually hired per new round when it makes sense. Monthly subscription models do not exist — we prefer to charge for the study delivered, not for platform access.
Still unsure? Thirty minutes to understand.
A frank conversation, no obligation — we look at your case, recommend the product that makes sense (or say when it is not the right moment yet), and align timeline and investment in the same call. No forced proposal.