T1.5 / Pricing & Promo Intelligence
Bundle & Cross-Service Offers
Structures mobile, fixed, TV, OTT, gaming, family, and cross-service bundle offer attributes for comparison and monitoring.
Telecom
Pricing & Promo Intelligence
Direct file delivery / API access
Schema preview
Bundle Offers
What it captures
- Bundle type, such as mobile plus fixed
- Standalone versus bundle price comparison
- OTT, TV, gaming, and security inclusions
- Contract, tenure, and cancellation rules
- Bundle dependency and eligibility notes
- Evidence URL and version status
Decision workflows supported
- Competitive pricing intelligence
- Promo and portfolio monitoring
- AI-ready market intelligence workflows
- Evidence-backed transparency review
Buyer roles
- Pricing strategy leaders
- CVM and retention teams
- Product portfolio leaders
- Data and AI teams
- Regulatory and market intelligence teams
Delivery models
- Direct file delivery
- API access
- Cloud push
Decision workflows supported
Pricing strategy
Monitor offer changes, bundle mechanics, channel variance, and competitor moves.
CVM / retention
Feed churn, retention, and portfolio-risk workflows with structured market signals.
Data & AI ingestion
Use stable IDs, schema fields, evidence references, and version states in AI pipelines.
Regulatory transparency
Review public terms, fair-use labels, evidence, and change history without overclaiming legal status.
Sample structure
Non-downloadable field preview
This preview shows the record structure without presenting field examples as live data.
Dataset scope
Market-specific recurring capture.
UAE first; additional markets by demand.
Source URL, Capture timestamp, Screenshot archive, HTML or document archive where available, Version hash, QA status
Proof fields travel with the record.
Records are designed to preserve the source, capture state, and QA context needed for downstream review.
Offer change trail.
Related datasets
Adjacent signals
Next step
Request a sample or map this dataset to your workflow.
DAISORO can discuss market scope, evidence depth, delivery model, and sample structure for your workflow.