PackagePublished package

@pasar6987/sf-sales-campaign

Name: Semantic model package @pasar6987/sf-sales-campaign
Creator: pasar6987

Marketing campaign management with member tracking, influence attribution, and status workflows.

OSISchema 0.1.1Domain crm Source developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Published package · Latest published 1.0.1 Mar 4, 2026 · 6 datasets / 50 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

6 datasets50 measures · 119 dimensions

Semantic Graph

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Loading graph

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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

Domain

crm

Source

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

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

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-sales-campaign

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-sales-campaign")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-sales-campaign",
    datasets=["Campaign", "CampaignInfluence"],
    max_tokens=2000,
)

print(model.datasets)        # ["Campaign", "CampaignInfluence", "CampaignInfluenceModel"]
print(model.measures)        # [Measure(name="Campaign.ActualCost", ...), Measure(name="Campaign.AmountAllOpportunities", ...), Measure(name="Campaign.AmountWonOpportunities", ...)]
print(model.dimensions)      # [Dimension(name="BriefId", ...), Dimension(name="CampaignImageId", ...), Dimension(name="CampaignMemberRecordTypeId", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

See Python docs

README

Package narrative and examples

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

@pasar6987/sf-sales-campaign

Marketing campaign management with member tracking, influence attribution, and status workflows.

Overview

	Count
Objects (Datasets)	6
Dimensions	119
Measures	50
Relationships	6

Objects

Campaign — Represents and tracks a marketing campaign, such as a direct mail promotion, webinar, or trade show.
CampaignInfluence — Represents the association between a campaign and an opportunity in Customizable Campaign Influence.
CampaignInfluenceModel — This read-only object represents a campaign influence model in Customizable Campaign Influence. Use campaign influence models to group CampaignInfluence records created by a specific set of triggers and workflows that you define. The Primary Campaign Source influence model is the default model.
CampaignMember — The CampaignMember object represents the relationship between a campaign and either a lead or a contact. If the Accounts as Campaign Members setting is enabled in an org, CampaignMember can also represent the relationship between a campaign and an account.
CampaignMemberStatus — One or more member status values defined for a campaign.
CampaignTag — Associates a word or short phrase with a Campaign.

Install

rawctx snapshot-download @pasar6987/sf-sales-campaign

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

datasets6

measures50

dimensions119

relationships6

AI context1

models/sf-sales-campaign.osi.yamlAI context included

6 datasets50 measures119 dimensions6 relationships