DAISORO

T1.4 / Pricing & Promo Intelligence

Hidden / Segmented Offers

Captures observable conditional, segment-specific, and journey-dependent offer patterns with evidence fields and eligibility context.

Primary focusprimary priority

Telecom

Pricing & Promo Intelligence

Direct file delivery / API access

Schema preview

Segmented Offers

sample structure
01Youth, student, expat, SME, and loyalty segment labels
02Conditional prices and benefits
03Eligibility flow steps
04Gated-screen evidence references
05Journey trigger and qualification labels
06First seen, last seen, and QA status

What it captures

  • Youth, student, expat, SME, and loyalty segment labels
  • Conditional prices and benefits
  • Eligibility flow steps
  • Gated-screen evidence references
  • Journey trigger and qualification labels
  • First seen, last seen, and QA 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

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This preview shows the record structure without presenting field examples as live data.

Youth, student, expat, SME, and loyalty segment labelsidentifier / label
Conditional prices and benefitsidentifier / label
Eligibility flow stepsstructured value
Gated-screen evidence referencesstructured value
Journey trigger and qualification labelsevidence metadata
First seen, last seen, and QA statusevidence metadata

Dataset scope

Market-specific recurring capture.

Publicly reachable journeys and market-specific scope.

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.

Source URLCapture timestampScreenshot referenceDocument referenceVersion hashQA state

Offer change trail.

1First seencapturevh_01a2
2Promo price addedprice deltavh_02b7
3Eligibility changedrule updatevh_03c4
4Allowance updatedbundle deltavh_04f9
5Offer retiredstatus changevh_05d1

Related datasets

Adjacent signals

Request sample dataset
T3.2

Retention Event Library

PlannedTelecomCompetitive Response

Organizes publicly observable retention-style events and journey signals into a safe, structured reference library.

Retention trigger researchJourney change monitoring
Retention offer typeDiscount depth and benefit structure
View dataset
T6.1

Digital Journey Maps

PlannedTelecomDigital Experience Intelligence

Maps public digital journeys, offer steps, eligibility prompts, and friction signals into structured fields.

Digital journey benchmarkingOffer flow QA
Purchase journey stepRequired fields and document prompts
View dataset

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.

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