HubPublic
PackagePublished package

@pasar6987/sf-core-marketing

Market segmentation, activation audiences, marketing forms, landing pages, and journey decision configuration for targeted marketing campaigns.

Published package · Latest published 1.0.1 Mar 4, 2026 · 8 datasets / 22 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

8 datasets22 measures · 163 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated
Mar 11, 2026
Visibility
Public hub listing
License
MIT
Created
Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Tags

salesforcecrmcoremarketing

Schema preview

Schema 0.1.1

SDK handoff

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-core-marketing

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-core-marketing")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-core-marketing",
    datasets=["LandingPage", "MarketSegment"],
    max_tokens=2000,
)

print(model.datasets)        # ["LandingPage", "MarketSegment", "MarketSegmentActivation"]
print(model.measures)        # [Measure(name="LandingPage.FormErrorRate", ...), Measure(name="LandingPage.FormSubmissionRate", ...), Measure(name="LandingPage.TotalFormErrors", ...)]
print(model.dimensions)      # [Dimension(name="CampaignId", ...), Dimension(name="ContentLastSaved", ...), Dimension(name="ContentLastSavedById", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-core-marketing

Market segmentation, activation audiences, marketing forms, landing pages, and journey decision configuration for targeted marketing campaigns.

Overview

Count
Objects (Datasets)8
Dimensions163
Measures22
Relationships3

Objects

  • LandingPage — Represents an Account Engagement landing page. A landing page is a web page that a visitor reaches after clicking a link or advertisement. Landing pages can be created in Account Engagement and synced to Salesforce or created on the Landing Page object in Account Engagement Lightning App.
  • MarketSegment — Segments - MarketSegment
  • MarketSegmentActivation — Activations - MarketSegmentActivation
  • MarketingForm — Represents an Account Engagement marketing form that has been synched to Salesforce. Use forms on your website and landing pages to collect information about visitors and turn anonymous visitors into identified prospects.
  • MarketingLink — Represents an Account Engagement marketing link record, either a custom redirect or a file, that has been synced to Salesforce.
  • MktJourneyDcsnSetup — Represents a collection of Marketing Cloud Engagement journeys that you can interact with by using Salesforce Flow in Marketing Cloud.
  • MktSgmntActvtnAudAttribute — Activation Attributes - MktSgmntActvtnAudAttribute
  • MktSgmntActvtnContactPoint — Activation Contact Points - MktSgmntActvtnContactPoint

Install

rawctx snapshot-download @pasar6987/sf-core-marketing

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1
datasets8
measures22
dimensions163
relationships3
AI context1
models/sf-core-marketing.osi.yamlAI context included
8 datasets22 measures163 dimensions3 relationships