
Understand our pricing structure
Get a detailed breakdown of Data Cloud's pricing model. Learn about the different factors that influence your cost, including credits, storage, and feature add-ons.
You've just estimated your Data Cloud investment. To help you move forward confidently, we've compiled resources to provide further clarity on our pricing, offer a risk-free entry point, and connect you with our sales team for personalized guidance.
Get a detailed breakdown of Data Cloud's pricing model. Learn about the different factors that influence your cost, including credits, storage, and feature add-ons.
Experience the power of Data Cloud firsthand with no initial investment. As a Salesforce customer, you can provision Data Cloud for free and immediately explore key features to see how all your enterprise data can work harder for your business.
Have specific questions or need a customized solution for your organization? Connect with our knowledgeable sales team. They can provide personalized demos, discuss pricing estimates in depth, and help tailor Data Cloud to your unique requirements.
Data Cloud pricing is consumption-based, meaning you pay for what you use. The cost will vary based on your business needs and use cases. We have a calculator to provide an estimate of the cost based on your needs.
To get started with Data Cloud, choose the Data Cloud SKU that best fits your needs such as the Data Cloud Starter or Data Cloud Provisioning SKU. Each SKU comes with a different amount of credits, among other entitlements. You can then add on more consumption credits, data storage, and/or premium add-ons as needed.
The Data Cloud Starter, which has a list price of $60K/year, is for customers that have Data Cloud use cases. It comes with the following entitlements:
The Data Cloud Provisioning SKU (also referred to as Data Cloud Everywhere SKU) is a $0 SKU that provides all the functionality of the Data Cloud Starter SKU but it comes with differing amount of credits and storage. This SKU is provisioned for customers that don't have Data Cloud use cases but are using other Salesforce products that are built-on or rely on Data Cloud functionality. It comes with the following entitlements:
The Data Cloud Starter SKU come with an initial starting amount of credits. Depending on your use case and needs, you may need to purchase additional Credits. The amount of additional credits you will need are determined by -
Your Sales Representative can work with you to decide the appropriate amount of additional credits you may need to purchase.You can also track and monitor usage your consumption of credits using Digital Wallet
Data Cloud credits are managed and tracked through the Digital Wallet, a tool that provides customers with visibility into their consumption of all Data Cloud Credits. This allows users to monitor their usage in near real-time, which is crucial for understanding spend and tying it back to ROI.
The pricing model for Data Cloud is consumption-based. The cost is tied to the volume of data processed, the specific features used, and the amount of data storage required.
We tailor pricing to fit your goals and scale, which helps ensure you're only paying for what you truly need. Since these usage patterns can vary significantly between customers and evolve over time, a completely fixed and transparent price is difficult to provide upfront. However, you can use Digital Wallet to help you track and monitor usage to predict spend over time.
Pricing can be customized based on individual customer needs and agreements. Please see our current rate card.
Data Cloud pricing is different because it's based on a usage-based or consumption model. This approach aims to provide flexibility and align costs with the value customers receive from the platform. Instead of a fixed subscription fee, customers pay for the resources they consume, such as data processing, storage, and specific features like segmentation and activation. This model allows customers with varying data volumes and usage patterns to be priced accordingly, and it can scale with their growth.
key | value |
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obldc_marquee_eyebrow | Data Cloud |
obldc_marquee_title | Discovery & Sizing |
obldc_marquee_copy | This calculator will help you estimate your Data Cloud consumption and generate an estimate based on your usage of different features. |
obldc_marquee_cta_connect | Connect with sales |
obldc_marquee_cta_download | Download report |
obldc_sidebar_title | Your Data Cloud estimated yearly consumption |
obldc_sidebar_credits | Credit/Units |
obldc_sidebar_total | List Price |
obldc_sidebar_chart_title | My Breakdown |
obldc_sidebar_chart_cta | View details |
obldc_modal_title | Detailed Breakdown |
obldc_results_table_tab1 | Credits |
obldc_results_table_tab2 | Rows Processed |
obldc_results_table_title1 | Credits Breakdown |
obldc_results_table_tile2 | Rows Processed Breakdown |
obldc_results_table1_col1 | Core Type |
obldc_results_table1_col2 | Data Meter |
obldc_results_table1_col3 | Credits |
obldc_results_table2_col1 | Core Type |
obldc_results_table2_col2 | Data Meter |
obldc_results_table2_col3 | Rows |
key | name | nameAbbr | headline | description | bullet1 | bullet2 | bullet3 | legal |
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connecting-zero-copy | Step 1: Connect All Your Data | Data Connect | ||||||
harmonize-and-unify | Step 2: Create a Unified Customer View | Identity Resolution | ||||||
driving-activations-with-your-data | Step 3: Take Action on Insights | Data Activation |
key | label | info | tooltip |
---|---|---|---|
C3 | How many non-unique customer profiles will you integrate from Salesforce and other systems? Example: CRM records, loyalty accounts, patient IDs. | Info from the wpdata simpletable blade | Example Input:A retail store has 50,000 email addresses in Marketing Cloud and 100,000 contacts in Sales Cloud and 10,000 unknown website visitors tracked through Google Analytics Input: 160,000 |
C4 | How many engagement records do you want to connect to Data Cloud in total? | Example Input:You have 5M rows of email engagements, 1M of purchase transactions, 3M of loyalty program updates. Input: 9 million rows | |
C5 | What percentage of this data will be updated daily? | In order for data to be accurate and up to date, Data Cloud must refresh profiles that have changed. Think of this as how many of your total customers, will have a material change on a daily basis that would make a refresh material. | |
other-data-toggle | Will you be bringing in any unstructured data files (documents, transcripts, logs, images, audio, etc.)? | ||
C6 | Will you include any text based files, such as PDFs or transcripts? If yes, how much (in MB)? | Example text data file formats: HTML, TXT, PDF, docx, PPT, etc. | |
C7 | What about media files like images, audio, or video? If yes, how much (in MB)? | Non-text data file: Example non-text data files ( MP4, MP3, GIF, PNG, JPEG) | |
C8 | Will you import knowledge content like Help Articles, How-to Guides, or Solution Docs? If yes, how many articles? | A knowledge article is a document used to classify and search information within Salesforce Knowledge base in Core. (i.e., How-To Articles, Solution Guides) | |
zero-copy-toggle | How much of your data will remain in external systems and be referenced via Zero Copy? Provide an estimate in records or rows. | ||
C9 | How much total data is externally located that will need to be referenced with Zero-Copy? | Zero Copy makes it possible to access data that is sitting in multiple different databases at the same time without having to move, copy, or reformat anything. Read more about it on our website (Link) | |
streaming-toggle | Will any of your data sources have data that will need to be streamed in? | ||
C10 | What percentage of your profile and engagement data will be streamed in? | Streaming data is helpful when you are working with or tracking rapidly changing data like website activity or live sales. Examples: Trigger an Action when a Customer lands on a specific Web Page or detecting fraud quickly on a customer website | |
real-time-toggle | Do you need any of your streamed data to be updated in sub-second real-time? | ||
C11 | What percentage of that streamed data requires sub-second updates? | Sub-Second Real-Time streaming allows businesses to process and analyze data as it’s generated, providing little latency. Example: A customer is scrolling on a website and pages are personalized as data on how they engage is analyzed to deliver a unique shopping experience. Read more about Sub-Second Real-Time (here). | |
C12 | How many profiles would you like to store in real-time cache? | This is a way to store frequently accessed data in Data Cloud, allowing for faster retrieval when analyzing | |
C13 | How many days should those stored profiles be retained? | ||
C14 | How many Profile API calls will you make annually when accessing Sub-Second Real-Time profile data? | An API request is used to retrieve or update a customer's profile data in real-time, allowing applications to access and modify key details about a user within the Salesforce platform almost instantly. Example uses: Creating personalized experiences or dynamic marketing campaigns | |
C15 | Typically, what proportion of users who visited in a month make repeat visits in the following month? | Usage of real-time is calcualted by the number of unique real-time records that appear in cache. Even if it appears mutliple times it is only counted once. Example: A mobile app had 5,000 users in March. In April, 1,500 of those users visited again. Input: 30% Repeat Rate (1,500/5,000) | |
C16 | Are you interested in unifying your customer profiles across sources? | Identity resolution is the process of accurately identifying individual customers across various touchpoints and channels. It consolidates data from multiple sources to create a unified and comprehensive view of a customer. Example of a unified profile: A customer (Robert) that is engaged on a Social Media Platform, also visits the online website, and has shopped at a brick and mortar store. His information across multiple profiles is combined into a comprehensive one. | |
calculated-insights-toggle | Will you track key metrics to identify customer patterns and trends? | ||
C17 | How many key metrics do you want to track and update daily? | ||
data-queries-toggle | Data Queries: How often will you use Data available in Data Cloud for end users or AI? | ||
C18 | How many total queries will you run daily across all users in your organization? (e.g., dashboards, reports, integrations) | When Querying data brought into Data Cloud, the tool assumes a 90 day look back window | |
C19 | How many times per day will you search and analyze unstructured data? (e.g., PDFs, transcripts — called “Unstructured Data Queries”) | ||
segmentation-toggle | Segmentation: Are you creating customer target groups by filtering from customer characteristics? | ||
C20 | From your set of profiles, how many different segments (Ad and Non-Ad) will you publish in a year? (We call this Segmentation) | We assume that you will refresh your segments once a day over the course of a year | |
batch-activation-toggle | Batch Activation | ||
C21 | Do you plan to use activation for your segments? If so, how many activations will you create and use per year? | Example: 1 segment per year refreshed daily= 365 activations per year across a single destination. Adding a second destination would double the activations to 730 per year. | |
ad-audiences-toggle | Ad Audiences | ||
C22 | How many advertising audiences will you engage (e.g., Meta, Google, LinkedIn)? | ||
data-sharing-toggle | Will you be sharing any data back to an external data warehouse? | ||
C23 | What % of your ingested data will you share back to an external database? | Sending data processed or analyzed within one system back to another external system allowing for two-way flow of information and enabling updates without manually exporting and re-importing data |
key | title | description |
---|---|---|
step1 | 1. How much of your data do you plan to integrate? | Data Cloud brings together data from across your enterprise to activate. Help us get a sense of your data landscape by sharing more about the amount and type of data you want to use with Data Cloud. |
step2 | 2. How should Data Cloud access your data? | Data Cloud can connect and access your data through a variety of methods including batch ingestion, real-time streaming (including sub-second), or Zero Copy referencing of external data. Tell us more about how you'd like Data Cloud to access all your data. |
step3 | 3. Do you want to unify your customer profiles across systems? | Data Cloud can create Unified Profiles by resolving identities across multiple data sources—connecting anonymous and known data into a single customer view. This lets you deliver more personalized, consistent experiences across every channel. |
step4 | 4. How do you want to use data? | Data Cloud connects and processes your data with the goal of allowing you to activate it across the entire Customer 360 Suite and leverage other features in the Salesforce ecosystem. |
step5 | 5. Will you share your Data back to an external Data lake or Data Warehouse? | Data Cloud users can externally share data and insights ingested, processed, and actioned on within the tool. |
Activate Data Cloud for your team today.