Consumption Planner
Open Planner
Open methodology

How the planner calculates your number.

The Consumption Planner does not invent multipliers. Every figure derives from Salesforce's published 2026 Unified Credit Model, the Data 360 commercial structure, and the Agentforce price list. This page documents the math, end-to-end, so any procurement or architecture lead can reproduce it.

Section 1

Two commercial models

Salesforce sells Data 360 in two parallel structures. The planner lets you pick either; it does not blend them silently.

Profile-Based Pricing

  • Standard Profiles — $240 / 1,000 profiles · year · 1 Flex Credit per profile · basic profile-building actions
  • Enterprise Profiles — $420 / 1,000 profiles · year · 2 Flex Credits per profile · higher transformation / IR limits, Data Masking, Ad Audiences

profile_cost = (baseProfileCount / 1000) × tierPrice

Flex Credits

Single unified currency. $500 per 100,000 credits = $0.005 / credit. Three purchasing options:

  • Pay-Go — list price, billed dynamically as credits deduct
  • Pre-Purchase — buy a block in advance, −10%
  • Pre-Commit — commit to a spend amount upfront, −20%

flex_cost = max(0, totalCredits − a1eInclusion) × $0.005 × (1 − purchaseDiscount)

Section 2

Agentforce seat licenses

Two SKUs. Both grant access to the 45-template catalog. The A1 Edition also bundles Flex Credits.

SKU List · seat · year Flex Credits / org / year Best for
Agentforce for Communications (add-on) $600 — Top-up on top of an existing Sales / Service Cloud edition
Communications Cloud · Agentforce 1 Edition $6,600 1,000,000 Greenfield deployments — platform access included

seats_cost = agentforceSeats × pricePerSeatYear

Section 3

Total annual investment

All three buckets stack additively. The optional 10% safety margin rounds the total up for procurement padding.

total_annual_investment = flex_cost + profile_cost + seats_cost [× 1.10 if safetyMarginEnabled]

Section 4

Where the credits come from

The wizard rolls every input into one of four cost pillars before billing it as Flex Credits.

Platform & Implementation

Foundation flat fee, sandbox environment, prep buffers. Roughly fixed once industry/scale is set.

Identity & Trust

Identity Resolution credits scale with profile count and unification factor. Real-Time Cache adds a flat surcharge when enabled.

AI & Analytics

Predictive AI inferences, vector knowledge base ingestion (60 cr/MB ingest + 100 cr/MB index), Agentforce template interactions (queries × 2k tokens / 1k × 25 cr).

Activation

Segmentation + activation runs per target × frequency. Zero-Copy storage targets are billed differently from API-based marketing destinations.

Section 5

Data quality multipliers

Per source, the planner applies a transformation multiplier based on the readiness rating.

Poor · Custom Mapping

×2

Fragmented or legacy data — heavy ETL needed

Average · Standard

×1

Consistent schema — standard mapping

Good · Direct Ingest

×0

Pre-harmonized — no transformation overhead

Section 6

Rollout roadmap durations

The phased Gantt isn't decorative — durations scale from your scope.

phase_1_weeks = clamp(3, 6, ceil(sources / 2) + customUcs?1:0) phase_2_weeks = clamp(2, 5, ceil((aiUseCases + agentforceTemplates) / 2) + 2) phase_3_weeks = clamp(2, 4, ceil(activationTargets / 2) + 1)

Indicative only

This planner produces an unbinding architectural sizing. Negotiated discounts, volume tiers, regional adjustments and bundle terms are out of scope. Always reconcile against the live Salesforce Digital Wallet before any commercial commitment.

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