Sales teams that run on Salesforce Sales Cloud either swear by it or spend months questioning whether the complexity is worth it. The honest answer depends almost entirely on team size, sales process complexity, and how much technical resource you can put behind it. This review covers every layer of Salesforce Sales Cloud as it stands in early 2026 — core pipeline features, the AI capabilities introduced in the Spring ’26 release, real limitations, and who it’s genuinely built for — so you can make a clear-eyed decision before committing to the platform.
A practical review should show where the product is strong and where the setup work begins.
When those needs line up, the platform is easier to adopt.
Managers usually care about visibility and control, while reps care about speed and usability.
That means the best review is the one that connects features to actual sales use cases.
Sales Cloud is not just a list of features. It is a workflow layer for the sales team.
The main reason teams evaluate it is simple: they want to know whether the feature set justifies the cost and complexity.
That makes it one of the central products in the Salesforce lineup.
Salesforce Sales Cloud is the product most teams look at when they want the standard Salesforce sales environment. It is built to help reps manage leads, opportunities, pipeline activity, and the day-to-day work of closing deals.
What Is Salesforce Sales Cloud?
Salesforce Sales Cloud is the core sales CRM product within the Salesforce platform, designed to manage the complete sales cycle from lead generation and qualification through to opportunity management, forecasting, closing, and post-sale account management. It’s the product that made Salesforce the dominant CRM vendor globally — holding approximately 23% of the worldwide CRM market share according to IDC’s most recent CRM market data.
Sales Cloud is not a standalone product in the way that simpler CRMs like Pipedrive or HubSpot Sales Hub are. It sits on top of the Salesforce Platform (also called the Customer 360 Platform), which means it inherits all of the platform’s extensibility — Apex code, Lightning Web Components, REST and SOAP APIs, and the AppExchange ecosystem — as well as its complexity and cost structure.
In 2026, Sales Cloud is deeply integrated with Agentforce, Salesforce’s autonomous AI agent framework, and with Einstein AI, the predictive and generative AI layer that runs across the entire Salesforce product suite. These additions have materially changed what Sales Cloud can do — and what it costs to use those features at scale.
Core Features of Salesforce Sales Cloud
Contact and Account Management
At its foundation, Salesforce Sales Cloud is built around four standard objects: Contacts, Accounts, Leads, and Opportunities — representing people, companies, prospective buyers, and active deals respectively. Each record stores a full activity history: emails sent and received, calls logged, meetings booked, tasks completed, and notes added by any member of the team.
The Account Hierarchy feature lets organisations model parent-child company relationships, which is important for enterprise selling where a parent corporation may have multiple subsidiaries each running their own procurement process. Account Teams and Contact Roles allow multiple stakeholders at a single account to be tracked, with each person’s influence over a specific deal recorded explicitly — a capability that maps directly to multi-threading strategies in complex B2B sales.
One practical strength of Salesforce’s contact management versus lighter CRMs is the Activity Timeline — a chronological log of every interaction with a contact or account that aggregates data from email, calendar, call logs, and tasks in a single view without requiring manual entry, provided email and calendar sync are configured correctly.
Lead Management and Scoring
Sales Cloud provides a dedicated Lead object separate from Contacts — a deliberate architectural choice that allows marketing-qualified leads to be tracked, scored, and worked before they’re converted into Contacts, Accounts, and Opportunities in the main pipeline. This separation is particularly valuable for organisations with a high inbound lead volume where not all leads are worth entering into the core sales pipeline immediately.
Lead Assignment Rules allow inbound leads to be automatically routed to the correct sales rep or team based on criteria such as geography, company size, industry, lead source, or product interest — without manual intervention from a sales operations team. Assignment rules can be chained in a round-robin distribution for fair workload allocation.
Einstein Lead Scoring (available from Enterprise edition) uses machine learning to assign each lead a score from 1–100 based on the characteristics of historically converted leads in your specific Salesforce org. Unlike generic lead scoring models built on firmographic data alone, Einstein’s model is trained on your own conversion history, making it progressively more accurate as your organisation accumulates more data. Per Salesforce’s platform documentation, Einstein Lead Scoring updates scores daily and surfaces the top factors driving each individual score — so reps understand why a lead is prioritised, not just that it is.
Opportunity and Pipeline Management
The Opportunity object is the engine of Sales Cloud. Each opportunity record tracks deal name, account, close date, stage, amount, probability, and a complete activity history. Opportunity Stages are fully customisable — organisations define their own stage names and attach probability percentages and stage entry/exit criteria to each step.
Kanban View provides a visual drag-and-drop pipeline board that lets sales reps move opportunities between stages without opening individual records — a small UI feature that meaningfully improves daily pipeline hygiene for reps managing 15–30 active deals simultaneously.
Einstein Deal Insights (Enterprise and above) surfaces AI-generated signals about deal health: whether a deal is at risk based on recent email activity, whether a close date has been pushed multiple times, or whether a key stakeholder has gone quiet. G2 reviewer data shows that deal intelligence features are among the most consistently rated capabilities of Sales Cloud among enterprise users.
The Spring ’26 release introduced the Sales Workspace — a new AI-powered hub within the Sales Cloud UI that consolidates a rep’s open pipeline, Agentforce activity summaries, meeting preparation briefs, and recommended next actions in a single view. This replaces the fragmented experience of navigating between the home page, pipeline list view, and individual opportunity records that characterised the previous interface.
Collaborative Forecasting
Salesforce’s Collaborative Forecasting module is one of the most complete revenue forecasting tools available in any CRM platform. It allows sales managers and VPs to review forecasts by territory, product family, or custom fiscal period, with the ability to override individual rep forecasts at the manager level while maintaining a full audit trail of adjustments.
Forecasting in Salesforce supports multiple simultaneous forecast types — you can run a quota attainment forecast alongside a product-revenue forecast alongside a services-bookings forecast, all from the same interface. Einstein Forecasting adds a machine-learning layer that generates a model-based revenue prediction for the current and next quarter, displayed alongside the human-adjusted forecast so managers can compare their judgement against the data-driven projection.
Per Salesforce’s State of Sales report (6th edition), sales organisations that actively use predictive forecasting tools are 1.7 times more likely to hit their revenue targets than those relying on manager estimates alone. Salesforce’s forecasting is top-tier among CRM platforms for organisations with complex, multi-product, multi-territory sales structures.
Workflow Automation with Salesforce Flow
Salesforce Flow — the platform’s primary automation tool — allows administrators and developers to build automated business processes that span records, objects, and external systems without writing code in most cases. Flow has become the successor to the older Workflow Rules and Process Builder tools, both of which Salesforce is actively retiring.
What makes Flow powerful relative to automation tools in competing CRMs is its ability to handle complex multi-step logic: conditional branching, loops, scheduled execution, subflows that call other flows, and HTTP callouts to external APIs. A sales operations team with a moderately skilled admin can build automations in Salesforce Flow that would require custom code in simpler CRM platforms.
From the Spring ’26 release, Setup Powered by Agentforce entered beta — an AI-assisted configuration layer that helps admins build and configure Flows, object settings, and automation rules through natural language prompts within the Salesforce Setup menu. Early reviews from the Salesforce Ben community have flagged this as a meaningful productivity improvement for admins managing complex org configurations.
Reporting and Dashboards
Salesforce’s reporting engine is one of the most flexible in the CRM market. The standard report builder supports tabular, summary, matrix, and joined reports — with joined reports allowing data from entirely separate objects (e.g., combining Opportunities and Cases in a single report view) being a capability genuinely uncommon in mid-market CRMs.
Dashboards in Salesforce can contain up to 20 components (on Enterprise and above) pulling from multiple underlying reports, with real-time or scheduled refresh. The Einstein Analytics layer (Tableau CRM) is available as an add-on and provides a full business intelligence environment for organisations that need machine learning-enhanced dashboards, predictive charts, and data exploration beyond what the native reporting builder can produce.
Agentforce in Sales Cloud: What’s New in 2026
The most significant change to Salesforce Sales Cloud in the past twelve months has been the integration of Agentforce — Salesforce’s autonomous AI agent platform — directly into core sales workflows. Unlike Einstein’s previous feature set, which provided recommendations and predictions but required human action to execute, Agentforce agents can take autonomous actions within defined guardrails.
The Agentforce 360 framework, which reached general availability in the Spring ’26 release, includes four core components deployed across Sales Cloud:
- Agentforce Builder — a low-code interface for configuring, customising, and testing AI agents without requiring Apex development. Agents are built from a combination of pre-built Topics (areas of expertise), Actions (things the agent can do, defined using Flows, Apex, or MuleSoft APIs), and Instructions (guardrails on the agent’s behaviour)
- Agent Script — guides AI agents and human reps through structured conversations using predefined scripts that adapt based on prospect responses
- Agentforce Voice — extends agent capabilities to voice channels, allowing autonomous AI handling of inbound and outbound calls within defined parameters
- Intelligent Context — a retrieval layer that grounds every AI agent response in real Salesforce data (account history, opportunity notes, email threads, product details) to ensure responses are contextually accurate rather than generic
Agentforce Pipeline Management and Agentforce Account Management — both enhanced in Spring ’26 and now available directly in Slack — can monitor open opportunities, flag deals that have gone quiet, draft follow-up communications, and update opportunity stage and close date fields based on email and call activity analysis.
The ChatGPT for Salesforce integration, which entered open beta in Spring ’26, allows sales reps to query their Salesforce CRM data directly from within a ChatGPT conversation — asking questions like “What are my three biggest deals closing this month and what’s the last activity on each?” and receiving accurate, CRM-grounded answers. This bridges the gap between the conversational interface that reps increasingly prefer and the structured data stored in the CRM.
Agentforce is priced at $2 per conversation on a consumption basis (credit packages available) for organisations on Enterprise and Unlimited editions. Einstein 1 Sales includes a larger bundled credit allocation. Organisations with high-volume use cases — particularly those deploying agents for inbound lead qualification at scale — should model consumption costs carefully before committing.
Sales Cloud Integrations
Salesforce Sales Cloud has the most extensive integration ecosystem of any CRM platform. Key native integrations include Gmail, Google Calendar, Outlook, Microsoft Teams, Slack, LinkedIn Sales Navigator, and DocuSign. Over 7,000 additional integrations are available through AppExchange, including purpose-built connectors for marketing automation platforms (Marketo, Pardot/Marketing Cloud Account Engagement, HubSpot), telephony systems (RingCentral, Dialpad, Aircall), CPQ tools, ERP systems (SAP, Oracle, NetSuite), and business intelligence platforms.
For organisations requiring custom integrations with proprietary internal systems, Salesforce’s REST and SOAP APIs provide comprehensive programmatic access to all CRM data. MuleSoft Anypoint Platform — a separate Salesforce product — provides enterprise-grade integration middleware for complex, multi-system architectures.
The integrations that consistently deliver the most measurable impact on sales productivity are:
- LinkedIn Sales Navigator: The native Sales Navigator integration, available from Pro Suite upward, surfaces LinkedIn profile data, mutual connections, recent company news, and job change alerts directly within the Salesforce Lead and Contact record. This removes the context-switching between Salesforce and LinkedIn that consumes an average of 27 minutes per sales rep per day according to LinkedIn’s own internal research.
- Gong or Chorus.ai: Conversation intelligence platforms that analyse recorded sales calls, extract deal risk signals (competitive mentions, pricing objections, stakeholder engagement patterns), and sync call summaries and next steps directly back into the Opportunity record in Salesforce. Gong’s Salesforce integration is bidirectional, pulling CRM deal stage and close date data into Gong’s risk scoring algorithm.
- DocuSign or PandaDoc: Electronic signature platforms that generate contracts and NDAs directly from Salesforce Opportunity and Account data, route them for multi-party signature, and automatically update the Opportunity status upon execution.
- Outreach or Salesloft: Sales engagement platforms that manage multi-step email, call, and LinkedIn outreach sequences triggered by Salesforce Lead and Contact status changes. Both platforms write sequence activity back to Salesforce as standard activity records, maintaining a complete engagement history without requiring reps to manually log outreach steps.
- Clari or Aviso: Revenue intelligence platforms that connect to Salesforce pipeline data, apply AI forecasting models, and provide deal risk scoring and forecast accuracy tracking that complements Salesforce’s native Einstein Forecasting. These platforms are particularly valuable for VP-level pipeline review workflows where deal-level AI commentary is needed alongside aggregate forecast figures.
User Experience and Interface
The Lightning Experience — Salesforce’s modern UI, introduced in 2015 and now the only actively developed interface — is functionally thorough but carries a learning curve that consistently appears in user reviews. G2 data shows that time-to-proficiency for a new Salesforce user typically runs four to eight weeks before they’re working efficiently in the platform, compared to two to three weeks for HubSpot Sales Hub and one to two weeks for Pipedrive.
The introduction of the Sales Workspace in Spring ’26 has consolidated the rep-facing experience meaningfully, reducing the number of objects and navigation steps required for core daily tasks. Salesforce has historically prioritised configurability and power over simplicity — which is appropriate for complex enterprise sales motions but continues to create friction for smaller or less technical teams.
The Salesforce Mobile App provides a reasonably complete mobile experience for field sales teams, including offline access, voice memos that transcribe to CRM notes, and mobile push notifications for deal activity. Mobile usability is rated noticeably lower than desktop by Salesforce users on G2 and Capterra relative to competing platforms.
Salesforce Sales Cloud Pricing
Sales Cloud is available through Salesforce’s per-user, per-month pricing model, billed annually:
- Starter Suite — $25/user/month (limited to 10 users, basic features)
- Pro Suite — $100/user/month (automation, forecasting, AppExchange access)
- Enterprise — $165/user/month (full platform, APIs, Einstein AI, Agentforce)
- Unlimited — $330/user/month (full sandboxes, Sales Engagement, premium support)
- Einstein 1 Sales — $500/user/month (Slack, generative AI, Data Cloud, Revenue Intelligence)
Agentforce conversations are billed separately at $2 per conversation, except on Einstein 1 Sales where a larger allocation is included. Implementation costs for Enterprise deployments typically start at $25,000 and scale significantly with complexity.
Who Is Salesforce Sales Cloud Built For?
Salesforce Sales Cloud delivers the strongest value for:
- Mid-market and enterprise B2B organisations (50+ sales reps) with complex, multi-stage sales processes, territory structures, and forecast accountability requirements
- Organisations that need a fully extensible CRM platform — where custom objects, Apex development, and third-party app integrations are core requirements rather than nice-to-haves
- Companies with a dedicated Salesforce admin or RevOps team — the platform rewards investment in administration and customisation; teams without this resource tend to under-use it
- Enterprises standardising on the broader Salesforce platform — where Sales Cloud, Service Cloud, Marketing Cloud, and Data Cloud are intended to work together across the customer lifecycle
It’s a weaker fit for:
- Teams under 15 users with straightforward pipeline management needs — HubSpot Sales Hub, Pipedrive, or Zoho CRM will deliver 80% of the functionality at 30–50% of the cost
- Organisations without technical admin capacity — Salesforce’s power comes with configuration overhead that requires ongoing specialist attention
- Teams that prioritise fast onboarding and minimal setup — Salesforce’s learning curve is real and persistent
Salesforce Sales Cloud vs Competitors
Vs HubSpot Sales Hub: HubSpot is significantly easier to deploy and use, with a better out-of-the-box user experience and a stronger free tier. Salesforce outpaces HubSpot in forecasting depth, API flexibility, and the breadth of its platform ecosystem. For organisations that expect to add Service Cloud or Marketing Cloud to their stack within two years, Salesforce’s native cross-cloud integration provides a compounding platform advantage.
Vs Microsoft Dynamics 365 Sales: Dynamics 365 is Salesforce’s most direct enterprise competitor, particularly for Microsoft-centric organisations running Teams, Outlook, and Azure. Its Copilot AI features are comparable to Einstein Copilot. Salesforce’s AppExchange is significantly deeper than the Microsoft AppSource marketplace, and Salesforce holds a larger community and partner network globally.
Vs Zoho CRM: Zoho CRM Enterprise ($52/user/month) provides a surprisingly capable alternative at roughly one-third of Salesforce Enterprise’s cost. It lacks Salesforce’s platform depth and developer ecosystem, but for mid-market organisations with standard sales processes, Zoho’s feature-to-price ratio is difficult to match.
Pros and Cons
Strengths:
- Unmatched platform depth and extensibility via Apex, LWC, and REST APIs
- Largest CRM ecosystem with 7,000+ AppExchange integrations
- Top-tier collaborative forecasting for complex, multi-territory sales organisations
- Agentforce 360 brings genuinely autonomous AI sales workflows in 2026
- Salesforce Trailhead provides one of the most thorough self-service learning platforms in enterprise software
- Strongest community, partner network, and talent pool of any CRM platform globally
Limitations:
- Highest per-seat cost in the CRM market, with significant implementation overhead
- Complex interface with a meaningful learning curve for new users
- Total cost of ownership is consistently 2–3x the licence fee alone
- Agentforce consumption pricing can scale unexpectedly for high-volume use cases
- Smaller teams and technically inexperienced organisations frequently under-use the platform relative to cost
Verdict
Salesforce Sales Cloud in 2026 is the most capable and extensible CRM platform on the market — and also the most expensive and demanding to operate well. The Spring ’26 release has meaningfully advanced its AI capabilities, with Agentforce 360 bringing autonomous pipeline management into daily sales workflows for the first time. For organisations that can commit the technical and financial resource to deploy it properly, the platform’s depth is genuinely unmatched. For those that can’t, the same budget directed at HubSpot, Zoho, or Pipedrive will typically deliver better ROI against simpler requirements.
The best Sales Cloud setup is the one that fits the team’s selling motion. If it feels heavy in daily use, the feature depth stops mattering.
Common Problems and Fixes
Opportunity Stages Not Reflecting the Actual Sales Process
Many organisations deploy Sales Cloud using the default Opportunity Stage picklist values without mapping them to their actual sales methodology. This creates a disconnect between CRM data and real sales behaviour — stage values that reps treat as arbitrary checkboxes rather than meaningful pipeline milestones. The fix is to audit your current sales process, define explicit entry and exit criteria for each stage that both reps and managers agree on, update the Opportunity Stage picklist values to match your methodology (whether MEDDIC, SPIN, Challenger, or a custom process), and run an enablement session that walks every rep through the updated definitions. Pipeline data accuracy improves dramatically when stage values map to observable sales behaviours rather than vague descriptions.
Forecast Categories Misaligned with Actual Win Rates
Sales Cloud’s Forecast Categories (Pipeline, Best Case, Commit, Closed) are intended to reflect a rep’s confidence in a deal closing within the forecast period. When reps submit deals as Commit that win at only a 40% rate, forecast accuracy collapses and managers lose trust in the data. The right approach is to analyse your historical Opportunity data — mapping each deal’s Forecast Category at the time it was in a given stage against its eventual outcome — and set guideline win rates for each category based on actual performance rather than aspiration. Einstein Forecasting, available on Enterprise and above, applies machine learning to this historical win rate data and provides an AI-generated forecast alongside the rep-submitted figures, enabling managers to identify systematic optimism bias before the quarter ends.
Contacts Not Syncing After Email Integration Setup
A frequent complaint from new Sales Cloud users is that contacts added in Gmail or Outlook don’t appear in Salesforce, or that CRM contacts aren’t visible in their email client. This is typically caused by incomplete Einstein Activity Capture configuration. Ensure that the connected account settings in Salesforce Setup specify bidirectional sync (not one-way), that the contact sharing setting allows new contacts captured from email to be created as Salesforce records, and that the user’s email domain is on the approved list in the Einstein Activity Capture configuration. For Outlook users, the Salesforce Outlook Integration add-in requires separate installation and may need IT-level permissions to deploy via the Microsoft 365 admin centre.
Pipeline Dashboards Slow to Load on Large Datasets
Organisations with multi-year CRM data and large numbers of open and closed Opportunity records frequently find that standard dashboard components take 30 to 60 seconds to refresh. The primary remediation steps are: limit dashboard report date ranges to a rolling 12-month window rather than all-time data; use Joined Reports only where cross-object analysis is genuinely needed, as they are significantly more query-intensive than Summary reports; apply Opportunity record type filters to exclude archived or non-relevant pipeline segments; and for organisations requiring sub-second dashboard performance across very large datasets, evaluate Salesforce CRM Analytics (formerly Tableau CRM), which uses a pre-computed data layer that doesn’t query the live Salesforce database on each render.
Frequently Asked Questions
What is the difference between Salesforce Sales Cloud and Salesforce CRM?
Salesforce CRM is the umbrella term for Salesforce’s customer relationship management platform, which encompasses multiple cloud products. Sales Cloud is the specific product within that platform designed for sales pipeline management, lead management, opportunity tracking, and revenue forecasting. When most people refer to “Salesforce CRM,” they’re typically describing Sales Cloud, which was Salesforce’s original product and remains its most widely deployed offering. Service Cloud, Marketing Cloud, and Commerce Cloud are separate products within the broader Salesforce CRM platform.
Does Salesforce Sales Cloud support GDPR compliance?
Salesforce Sales Cloud provides the technical infrastructure to support GDPR compliance, but compliance itself is the responsibility of the data controller (your organisation) rather than Salesforce as the data processor. Salesforce provides Data Processing Addendums, data residency options for EU-based customers, and tools including the Privacy Centre for managing data subject access requests, consent management, and right-to-erasure workflows. Organisations deploying Sales Cloud in the EU or handling EU citizen data must configure Salesforce’s privacy tools, establish appropriate data retention policies, and maintain records of processing activities to meet their own GDPR obligations.
Does Salesforce Sales Cloud include email marketing?
Sales Cloud includes basic email functionality — sending individual emails from Lead and Contact records, logging email activity via Einstein Activity Capture, and using simple email templates for reps. It does not include bulk email marketing, automated nurture campaigns, landing pages, or campaign performance analytics. Those capabilities sit within Salesforce Marketing Cloud or Marketing Cloud Account Engagement (formerly Pardot). Organisations needing email marketing alongside Sales Cloud typically either purchase Marketing Cloud Account Engagement as an add-on or integrate an independent marketing automation platform such as HubSpot Marketing Hub or Mailchimp.
How many custom objects can you create in Sales Cloud?
The number of custom objects varies by edition. Starter Suite allows up to 10 custom objects. Pro Suite allows up to 50. Enterprise, Unlimited, and Einstein 1 Sales allow up to 2,000 custom objects per Salesforce organisation. In practice, most mid-market Sales Cloud deployments use between 10 and 40 custom objects for use cases such as product catalogue management, partner records, territory mapping, or project tracking alongside standard CRM records.
Can Sales Cloud handle B2C as well as B2B sales?
Sales Cloud’s standard data model is optimised for B2B sales processes where individual contacts are associated with company accounts and deals involve multiple stakeholders over an extended sales cycle. B2C use cases are possible but require additional configuration — specifically, using the Person Account feature (which collapses the Contact and Account objects into a single consumer record) or building custom objects to represent consumer relationships. Salesforce Commerce Cloud and Marketing Cloud are better suited to high-volume B2C transaction management, while Sales Cloud handles the sales pipeline component of B2C enterprise or dealer-based sales models.
Can you switch between Salesforce pricing tiers mid-contract?
Upgrading to a higher tier is possible at any point mid-contract; Salesforce will prorate the additional cost for the remaining contract term. Downgrading to a lower tier is significantly more restrictive and typically requires waiting until the annual renewal date. Most Salesforce contracts include a clause preventing downgrades that reduce annual contract value, so the practical path to downgrading is at the natural contract expiry. Always clarify downgrade provisions explicitly before signing a multi-year agreement.
What is included in Salesforce’s free trial?
Salesforce offers a 30-day free trial of its core Sales Cloud, typically at the Enterprise feature level. The trial includes full access to the Salesforce Lightning interface, custom object creation, workflow automation, and reporting. It doesn’t include production data migration support, Einstein AI features, or dedicated implementation assistance. Data created in a trial org cannot be directly migrated to a paid production org — a fresh data import is required when converting to a paid subscription.
Are there discounts for nonprofits or educational institutions?
Yes. Salesforce runs the Power of Us Programme for qualifying nonprofits and educational institutions. Eligible nonprofits receive ten free Sales Cloud and Service Cloud Enterprise licences, with deeply discounted rates on additional licences beyond the free allocation. Applications are reviewed through Salesforce.org, and eligibility typically requires 501(c)(3) status in the US or equivalent charitable registration elsewhere. Educational institutions qualify for significant discounts through Salesforce’s dedicated Education Cloud pricing programme.
Does Salesforce charge separately for mobile access?
No. Access to Salesforce via the native iOS and Android mobile apps is included in all paid licence tiers at no additional charge. The mobile app supports the full range of standard and custom object access available to the user’s licence type and profile permissions, including offline access for records previously cached on the device.
What happens to your data if you cancel your Salesforce subscription?
Upon contract termination or non-renewal, Salesforce provides a 60-day data export window during which administrators can download all org data in CSV format using the Data Export Service under Setup. After the 60-day period, Salesforce permanently deletes all org data in accordance with its data retention policy. Export all data before the contract end date rather than relying on the post-termination window. Third-party backup solutions such as OwnBackup provide automated daily exports throughout the contract period, which is best practice for enterprise deployments.