How do recorded changes in subscriber status and tariff relate to subsequent monthly usage, recharge and bundle spending in the selected Nairobi panel?

Changes in DataUsedMB, VoiceMinutes, SMSCount, AirtimeTopUpLocal and DataBundlePurchaseLocal across status and tariff transitions.

The study calls for Dated historical subscriber and tariff states, Monthly usage, spending and mobility, SIM and device changes and Subscriber links and separate snapshot context. The measure to examine is changes in DataUsedMB, VoiceMinutes, SMSCount, AirtimeTopUpLocal and DataBundlePurchaseLocal across status and tariff transitions.

Research datasets are prepared after an order for the selected city, date range and study requirements. The final schema and dated relationships are agreed for that extract.

Onboarded city options

Nairobi (Kenya)

Custom city requests

African Major Cities · Additional cities require availability, scope and quote confirmation.

Data type

Synthetic

Priced domains

Telecommunications, Demographics

Catalogue structure

Question-specific research data

Key features

Record concepts for your order-specific extract.

Who it is for

• Researchers
• analysts
• data scientists
• policy teams

Proposed study unit

Nairobi subscriber-month

Planned records and relationships for this study.

Record concepts for your extract

• Dated historical subscriber and tariff states
• Monthly usage, spending and mobility
• SIM and device changes
• Subscriber links and separate snapshot context

The agreed specification defines the final columns, keys, relationships and observation period for your order.

Compare consistent monthly cutoffs and event-aligned periods; preserve ResearchSplit and account for activation, deactivation and the open September 2026 month.

Proposed questions for your custom order

1. How do recorded changes in subscriber status and tariff relate to subsequent monthly usage, recharge and bundle spending in the selected Nairobi panel?

Proposed research and analytical applications

• Study design
• group comparison
• longitudinal analysis

Data generation

FCTE synthetic city engine

Data classification

Synthetic

FCTE generation methods and published city/domain checks provide source context. The order defines the final extract and the release-specific checks, documentation and limitations supplied with it.

Known limitations

• This is a selected Nairobi synthetic research sample, not a population-representative extract or a Lagos release.
• Monthly totals are not individual event sequences; causal and population estimates are not supported.
• Snapshot attributes must not substitute for dated history; future prediction labels or benchmark horizons require separate specification.
• Preserved sample values and checks do not establish a matching full-city certification audit.
• Use observed subscriber-months, historical status and tariff fields, monthly cutoffs and supplied ResearchSplit. Keep snapshot context separate; retain partial September 2026 observations. This selected synthetic panel supports descriptive associations, not causal effects or representative population estimates. Mobility and device-change analyses remain separate existing custom-study questions and require their own timing and measurement checks.
• Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.

Catalogue base price

$599 USD

Price basis

Base price per selected city

Availability

Prepared after order

The displayed catalogue amount is a base price per selected city. Your requested dates, population, fields, formats and usage rights determine the agreed scope and final quote. Applicable published discounts and taxes are confirmed with that quote.

Your prepared package

Your order confirms the data files, documentation, evidence, examples and release controls included in the prepared package.

• Agreed data extract
• Schema and field documentation
• Release-specific evidence and limitations
• Agreed loading or analysis examples
• Licence, manifest, checksums and delivery note

SD_RESEARCH_DATASET/
├── data/
│   ├── telecommunications_records.parquet
│   └── citizens.parquet
├── documentation/
│   ├── README.md
│   ├── DATA_DICTIONARY.csv
│   ├── SCHEMA.md
│   └── METHODOLOGY.md
├── evidence/
│   ├── CERTIFICATION.json
│   ├── VALIDATION_REPORT.pdf
│   └── KNOWN_LIMITATIONS.md
├── MANIFEST.json
├── CHECKSUMS.sha256
└── LICENSE.pdf

Delivery process

Confirm the cities, date range, records, formats, rights and price in writing. The order-specific extract is then prepared and supplied under the agreed payment and delivery conditions.

One secure download package for the agreed release and licensed entity.

Delivery timing, access expiry, formats and prerequisites are confirmed in the accepted order.

Support, refreshes, future releases, hosting and APIs are included only when expressly ordered.

Data Licensing Agreement · 2026-10

A non-exclusive, non-transferable licence for the named customer within the accepted scope and duration.

Permitted use

Internal research, development, testing and analytics within the accepted order.

Model training

Model training, external applications, commercial distribution and access by other legal entities must be expressly addressed in the order.

Redistribution

Raw or substantially reconstructable data cannot be resold, published or redistributed without separate written authorization.

Attribution

Preserve release provenance and applicable third-party notices. Published outputs must identify the data as synthetic.