I provide diagnostic products to improve your DTC e-commerce business.
Understand strenght and weaknesses that influence business performance.
Understand which customers matter and how to retain them.
Understand which acquisition sources and campaigns generate long-lasting value.
The downloadable samples are developed via illustrative mock-up data and do not represent real-life case studies.
A Bespoke Analytical Diagnostic is designed around a specific business question defined with the client. The analytical scope, required data and outputs are adapted to the decision the business needs to support. A previous CMI diagnostic is not required.
Recurring Monitoring can be activated as a standalone service, included within an analytical engagement or added after a standard or bespoke diagnostic. The cadence and outputs are adapted to the business need: weekly, monthly, quarterly, rolling-period or custom.
Recurring monitoring does not automatically include a full diagnostic deck or readout call. The delivery format is defined in the agreed scope.
Discuss recurring monitoringWe begin by outlining the business context and the priorities that need to be supported.
You provide the records from your e-commerce platform, in any form they are available.
I structure and analyse the data to identify useful insights behind performance metrics.
You receive the agreed deliverables. A readout call is included if it forms part of the agreed scope.
I’m Cristian Mora, founder of CMI. I work as a consultant for businesses that seek growth by analysing their customer, operational and commercial data. I also draw on a solid background in supply chain and procurement.
I specialise in DTC e-commerce brands that need clearer visibility across business performance, customer retention and acquisition quality.
I contributed to analytics and advisory projects involving brands such as Louis Vuitton, Ralph Lauren, Chanel, Dior, Cartier, Van Cleef & Arpels, Rimowa, TUMI, Samsonite, Primor and KIKO Milano*
* These engagements were delivered through previous employment and do not represent CMI client relationships or endorsements.
The requirements depend on the diagnostic or business question. Typical inputs include order and order-line history, stable customer identifiers, order dates and outcomes, product and category information, sales channels, country or market fields and available discount, refund, return or cancellation data. Acquisition work may also require source, campaign and advertising-platform exports.
This is common. Every engagement begins with a data-feasibility and quality review. You do not need to build a perfect analytical dataset before the project begins. Missing identifiers, limited history or incomplete campaign matching may restrict some outputs, and any limitations will be explained before the final scope is confirmed.
No. The analysis is developed in my analytical environment using the agreed data exports. You receive the final deliverables and working files without needing to purchase the software I use to produce them.
The output depends on the engagement. It may include a consulting-style PDF diagnostic, Excel exports, customer- or campaign-level working files, methodology and metric definitions, and a readout call. Recurring monitoring may instead focus on refreshed files, updated lists and selected analytical views.
Most standard diagnostics are completed within two to four weeks after the data-feasibility review is complete and the required data has been received. Bespoke diagnostics and recurring work follow a timeline agreed around the scope, data complexity and required outputs.
The initial call is used to understand the business question, available data and required output. I will recommend a standard diagnostic, a bespoke diagnostic or recurring monitoring only where it is appropriate.
Yes. Recurring monitoring can be set up weekly, monthly, quarterly, on a rolling period or at a custom cadence. It can be standalone, included from the beginning or activated after a standard or bespoke diagnostic.
Yes, within the limits of the available evidence. The depth and confidence of campaign-level analysis depend on source and campaign identifiers, customer matching, sample size and the maturity of post-acquisition outcomes. Low-confidence areas are identified rather than treated as conclusive.
An NDA can be signed before data is shared. Data is transferred through an agreed secure channel, accessed only for the defined engagement and handled according to the agreed retention or deletion process. A data-processing or security annex can be used where required.
Tell me how your e-commerce business currently uses data, which questions remain unanswered and what information is available. I will explain whether a standard diagnostic, a bespoke analysis or recurring monitoring is the best fit.
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