AI CVM PLATFORM · CVM-FUNCTION MCP MVP

Marketing Optimisation

An AI-CVM platform whose target outcome is replacing the routine work of a dedicated CVM department, from CRM analysis to incremental-margin measurement.

CURRENT STAGE / CVM-FUNCTION MCP MVP

01 / PROBLEM

What the MVP tests

A full CVM function requires a dedicated team of analysts, data scientists, and CRM marketers. Without it, segmentation is manual, campaign cycles are slow, and incremental impact is rarely measured correctly.

02 / AUDIENCE

Who it is for

Retail, e-commerce, and subscription businesses with CRM history and recurring campaigns that do not have an in-house CVM department or need to automate its routine work.

03 / EVIDENCE

What is implemented

The MCP MVP implements one end-to-end reactivation workflow through eight tools and has been tested on synthetic data. Its architecture targets software replacement of routine CVM work, but a real-data pilot must validate its ability to replace a full department and deliver commercial impact.

04 · DATA AND PROCESS

Synthetic demo dataset — not client pilot results

12,000 SYNTHETIC CUSTOMERS · 95% ELIGIBLE · 50/50 TREATMENT–CONTROL

  • Positive scenario
    Baseline10%
    Treatment26%
  • Null scenario
    Baseline12%
    Treatment12%
  • Negative scenario
    Baseline20%
    Treatment8%
Caption
Three validation scenarios: positive baseline 10% / treatment 26%; null 12% / 12%; negative 20% / 8%.
Provenance
Synthetic demo dataset: 12,000 synthetic customers, 95% eligible, with a 50/50 treatment/control split.
Caveat
This demonstrates incremental-margin measurement logic, not actual client pilot results.

05 · SOLUTION AND LESSONS

What was built and what it teaches

The technical MVP runs one reactivation workflow through data preparation, audience selection, test/control allocation, and incremental-margin calculation.

Artifacts

  • End-to-end technical CVM workflow
  • Synthetic demonstration dataset with 12,000 records
  • Test and control group allocation logic
  • Incremental-margin calculation for demonstration scenarios

Applicable lessons

  • A control group and baseline must be designed before campaign launch.
  • Synthetic data tests mechanics but does not validate segmentation quality or commercial effect on real CRM data.

What remains unverified

  • Operation on a partner's real CRM data
  • Incremental effect of a real campaign
  • Production reliability and operating cost

CVM PILOT PARTNER

Seeking a partner for an AI-CVM pilot

We are looking for a company that needs a CVM function without building a separate department, or wants to automate an existing process. The first pilot covers one reactivation use case, an existing offer, one business metric, and a control group.

Interview in exchange for early access or an agreed case study.