DAISORO

F1.3 / Banking Product Intelligence

Relationship / Bundle Pricing Matrix

Planned structured data for public relationship pricing, bundle benefits, and product dependency rules.

Plannedsecondary priority

Financial Services & Insurance

Banking Product Intelligence

Direct file delivery / API access

Schema preview

Relationship Pricing

sample structure
01Provider and product family
02Market and channel
03Customer segment or entity type
04Product, quote, fee, or policy identifier
05Public terms and eligibility summary
06First seen, last seen, and QA status

What it captures

  • Provider and product family
  • Market and channel
  • Customer segment or entity type
  • Product, quote, fee, or policy identifier
  • Public terms and eligibility summary
  • First seen, last seen, and QA status

Decision workflows supported

  • Product and rate monitoring
  • Fee and terms transparency review
  • Quote and eligibility intelligence
  • AI-ready comparison workflows

Buyer roles

  • Product strategy teams
  • Pricing and analytics teams
  • Risk and underwriting leaders
  • Transparency and review teams
  • Data and AI 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.

Provider and product familyidentifier / label
Market and channelidentifier / label
Customer segment or entity typestructured value
Product, quote, fee, or policy identifierstructured value
Public terms and eligibility summaryevidence metadata
First seen, last seen, and QA statusevidence metadata

Dataset scope

Planned; market and source dependent.

Future expansion area; public sources only.

Source URL, Capture timestamp, Screenshot archive, 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
F1.1

Retail Product & Rate Sheet Catalog

PlannedFinancial Services & InsuranceBanking Product Intelligence

Planned catalogue of public banking product pages, rate sheets, eligibility labels, fees, and version history.

Product and rate monitoringFee and terms transparency review
Provider and product familyMarket and channel
View dataset
F4.1

SME Banking Package Matrix

PlannedFinancial Services & InsuranceSME Financial Intelligence

Planned structured dataset for SME banking packages, eligibility, documents, benefits, and public terms.

SME package comparisonOnboarding requirement analysis
Provider and product familyMarket and channel
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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