Salesforce Data Cloud Pricing: Tips to Optimize Cost
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In today’s data-driven dynamics, customer data plays an essential role in business success. Here, Salesforce Data Cloud is a robust tool that combines and analyzes customer data from different sources to provide actionable insights. However, the platform capabilities come with a complex pricing structure, and enterprises find it complicated to optimize the cost.
The complex pricing structure leads businesses to increased budgets and unexpected costs. If you are also facing the same issue, this blog will dive deep into the factors impacting the price and Salesforce Data Cloud pricing for different purposes. Understanding these things will help you leverage the platform’s attractive features without exceeding your budget.
So, without any delay, let’s start.
Salesforce Data Cloud Pricing
Salesforce Data Cloud offers features such as pay-as-you-use, so it is essential to utilize the platform’s capabilities carefully. Here is the cost structure for different industries.
Data Cloud Freemium Edition
In Dreamforce 2023, Salesforce announced Data Cloud freemium for Enterprise and above editions. Users can start with Data Cloud Provisioning (including data cloud features except activation and segmentation) without any extra cost. In this, the customer gets 250,000 Data Service credits, 1 Data Cloud admin, 5 integration users, and 1 TB of data storage, and 10,000 internal Data Cloud identity users. After consuming these credits, users can purchase additional credits to meet their requirements.
Data Cloud for Marketing Cost
Salesforce offers a marketing package- Data Cloud Starter for Marketing, which costs 108,000 USD/ org/ year when billed annually. This Salesforce Data Cloud cost package includes features such as data ingestion, data space, data mapping, Identity Resolution and Management, unified profiles, calculated insights, etc.
Data Cloud for Sales Cloud Cost
Data Cloud for Sales Cloud comes with an “Einstein 1 Sales” package that costs 500 USD per user monthly. It will improve your sales team performance by gathering customer data from different sources and providing a 360-degree view. Also, this package provides features of Einstein Copilot powered by Generative AI, performance management, advanced forecasting, and lead & opportunity management.
Data Cloud for Service Cloud Cost
Data Cloud for Service Cloud is available in the package of Einstein 1 Service, which costs 500 USD per user monthly. In this plan, you get Einstein Copilot (Beta-currently), unlimited voice and messaging capabilities. It will help businesses to get easy access to customer transactions like preferences, purchases, and recent interactions.
Data Cloud for Tableau Cost
Salesforce Data Cloud for Tableau is a real-time data platform helping businesses ingest and unify customer data across all channels into a single place. The Data Cloud Salesforce pricing for Tableau is also 108,000 USD/org/year when billed annually; also, this edition requires an annual contract. By opting for this package, businesses unlock features such as data ingestion, data mapping, unified profiles, calculated insights, and data services.
Data Cloud for Health Cloud Cost
Data Cloud comes with Health Cloud Einstein 1 for Sales and Service edition package at 700 USD per user monthly. This will not only help to get consolidated client data but also provide businesses with the power to provide chronicle disease care timely.
Data Cloud for Commerce Cloud Cost
Data Cloud capabilities are available in the Commerce Cloud B2C Premium plan. Businesses get 500K Data Cloud credits and various features such as advanced analytics, automation, segmentation, and personalization. However, data cloud cost for commerce is distinct for every business that you can understand by contacting Salesforce.
Data Cloud for Others
Lastly, Data Cloud prices with other external systems are consumption-based and not identical. The calculation of cost basically depends on service usage. Even though, the Salesforce Data Cloud pricing is calculated based on the formula:
(Number of records processed / 1 Million) * Usage Type
For different usage types, you can refer to the Salesforce rate card.
Also, the cost varies if you want more credits for segmentation and activation, data services, ad audience, and data storage.
| Types | Costs |
|---|---|
| Segmentation and Activation | 1000 USD/ 100,000 Credits |
| Data Services | 1000 USD/ 100,000 Credits |
| Ad Audience | 2400 USD/ Audience |
| Data Storage | 1800 USD/ TB |
| Data Spaces | 60k USD/ Data Space |
These are the key components that require additional costs when businesses need more services than the base package.
Factors Affecting Salesforce Data Cloud Pricing
Salesforce Data Cloud is a data platform that organizes and collects all your business data on the Salesforce platform to provide a unified view of your customer data. Here are the key factors that affect Salesforce Data Cloud pricing.
Consumption-Based Model
Salesforce Data Cloud works on a consumption-based model highlighting that users only have to pay for the services they use. Businesses have to spend credits (digital currency used to pay for data cloud services) as per the usage of services. So, the cost totally depends on the users.
Data Activation Targets and Data Services
Salesforce Data Cloud provides 100,000 credits for 1,000 USD, so if businesses have limited data, then they do not have to pay much to create segmentation for activation. Also, if they want to use the data services after spending their data credits limit with the starter pack, they have to pay 1000 USD for 100,000 credits.
Data Storage
Data storage is another factor that influences Data Cloud Salesforce pricing. If businesses need additional data storage in addition to that provided with the starter pack, they have to pay more money (1TB for 1,800 USD).
These are the key factors that affect Salesforce Data Cloud pricing.
Tips to Optimize Salesforce Data Cloud Cost
Salesforce Data Cloud comes with various features, and using them carefully can be valuable for leveraging its potential with lower prices. Here are some handcrafted tips for optimizing Salesforce Data Cloud pricing.
Bring Relevant Data
Businesses should focus on collecting and organizing critical data only essential for operations and decision-making. Also, reviewing the data regularly can help to analyze unnecessary data and eventually remove it to reduce storage costs. Implementing strong data governance policies ensures storing clean data while minimizing duplication.
Batch Process than Streaming Process
The streaming process and batch process are two different ways to manage data. In the streaming process, data is processed in near real-time and real-time. On the other hand, the batch process can process large amounts of data in batches and is well-suited for complex data. In addition, it is faster and cheaper than stream processing.
Opting for batch processing can be valuable as it can save credits by using data in batches. Also, batch processing is a built-in capability of Salesforce. Businesses can decide on the data that requires real-time data processing to limit the use of the streaming process.
Deactivate Outdated Segmentation
Businesses should regularly review the segmentation rules and deactivate irrelevant and outdated ones. This will lead to a reduction in the resource requirement for processing such unwanted segments. It will eventually cut down the Salesforce data cloud cost.
Reduce Frequency for Processing Data
If a business use case is not time-sensitive, then it can be valuable not to process data less often. You should determine the frequency of data processing based on the requirement. Also, you can set it to off-peak hours and automate data processing with Salesforce’s built-in feature. Processing data in real-time can cost you more, so choosing data processing per hour or day can lead to reduced credit consumption and overall costs.
Take Salesforce Consultants Help
Guidance from Cyntexa’s Salesforce consultants can be valuable in reducing data cloud costs. Our in-depth expertise will identify and eliminate low-quality and redundant data that will reduce storage and processing costs. Moreover, our experts will continuously monitor and bring best practices into action by dividing large data sets into smaller ones that will improve query performance. Additionally, we will ensure to proper resource allocation to utilize their capabilities to optimize performance and cut down significant costs.
Following these crucial tips can help businesses optimize Salesforce data cloud pricing while leveraging the platform’s maximum capabilities.
Final Words
Organizations utilizing the capabilities of the data cloud and wishing to leverage its capabilities often find themselves in a huddle over the higher cost of the platform. However, considering the factors and tips can help businesses leverage the power of the platform without going out of budget.
Even if you are overwhelmed by the costs, Cyntexa offers you consultation experts who can help optimize Salesforce data cloud costs. Also, we will help your teams to use the platform effectively and gain a higher return on investment.
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