Salesforce Summer 26 Admin Checklist
Most orgs get surprised by Salesforce releases. Not because the dates are hidden — they are published months in advance — but because the checklist for actually preparing keeps getting skipped until something breaks in production. Summer ’26 sandboxes start upgrading around May 9. Here is a practical six-step admin prep list so that date does not catch you off guard. Summer ’26 — Main Upgrade Weekends ~May 9 Sandbox preview orgs upgradeVaries by instance — check trust.salesforce.com for your exact date ~June 5 First non-preview sandbox weekendMost non-preview sandboxes on NA and EU instances ~June 12 Second non-preview sandbox weekend + Production beginsProduction orgs start upgrading — varies by instance The six steps worth completing before May 9 Step 1: Find your instance and exact upgrade date Not all Salesforce instances upgrade on the same weekend. Your specific upgrade date depends on the instance your org runs on, and there are three main release weekends across May and June. Find your instance in Setup under Company Information, then check the Salesforce Trust maintenance calendar for the exact date. This matters because ‘around May 9’ could mean May 9 or it could mean June 12 depending on your instance. Knowing your actual date changes how urgently the rest of this checklist needs to happen. Salesforce Trust maintenance calendar Step 2: Review the Summer ’26 release notes for your specific stack The full release notes are long. The useful shortcut is to search for ‘enforcement’ in the notes, because enforcement items are the changes that will be applied automatically — including to orgs that have not opted in to anything. Two items affect most orgs: the accessibility enforcement for components at 200 percent zoom, and the X (Twitter) Auth Provider callback URL change that requires manual reconfiguration. Both are breaking changes for the orgs they affect. Neither fixes itself after the upgrade. Salesforce Summer ’26 release notes Step 3: Audit your Connected Apps and External Client Apps status Summer ’26 tightens the External Client Apps enforcement that began in Spring ’26. If your org has Connected Apps your team created — not vendor-installed managed package apps, but apps your own admins or developers built — check whether they have been migrated. Apps that have not been migrated will face increasing enforcement pressure in Summer ’26. Connected Apps migration guide Step 4: Decide between preview and non-preview sandbox Preview sandboxes opt in to the Summer ’26 upgrade early, giving you more time to test before the production release. Non-preview sandboxes stay on the Spring ’26 release longer, giving you more time with a stable environment. Neither choice is universally correct — it depends on how many customisations you have to test and how much development work is currently in flight. The Salesforce Sandbox Preview Guide explains how to make the switch if you want to opt your sandbox into preview before the window closes. Summer ’26 Admin Prep — 6 Steps Before May 9 Complete before upgrade 1 Find your instance and exact upgrade date Setup → Company Information → note your instance (e.g. NA87). Check trust.salesforce.com/status/maintenance for your exact date. “Around May 9” could mean May 9 or June 12 depending on your instance. 5 minutes 2 Search “enforcement” in the Summer ’26 release notes Enforcement items are auto-applied — you do not opt in. The two that affect most orgs: accessibility enforcement for components at 200% zoom, and the X (Twitter) Auth Provider callback URL change that requires manual reconfiguration. Breaking changes 3 Audit your Connected Apps and ECA migration status App Manager → filter by Connected App → identify apps your org created (not vendor managed packages). If any have not been migrated to External Client Apps, Summer ’26 tightens enforcement further. Act now if pending 4 Decide: preview sandbox or non-preview? Preview gives you more testing time before production upgrades. Non-preview gives you a longer stable window during active development. The Salesforce Sandbox Preview Guide covers how to opt in. Window closes before May 9. Decision needed 5 Review Scheduled Flows that process large record volumes Summer ’26 introduces custom batch size control for Scheduled Flows. The default of 200 is now configurable. Flag any flow where governor limit errors are a known risk — set appropriate batch sizes before the first run on the new release. New control available 6 Bookmark the Release Manager beta opt-in New in Summer ’26: three release channels — Standard (stable), Accelerated (production-ready, not yet in major release), Dev (in active development). Opt in now for earlier visibility into what comes after Summer ’26. New capability Step 5: Review Scheduled Flows that process large record volumes Summer ’26 introduces custom batch size controls for Scheduled Flows. The default batch size of 200 records is now configurable. Any flow processing large record volumes where governor limit errors are a known risk should be reviewed before the upgrade lands, so you can set appropriate batch sizes from the first run on the new release rather than after the first failure. Step 6: Bookmark the Release Manager beta opt-in New in Summer ’26, the Salesforce Release Manager gives admins and developers access to three feature channels: Standard for stable production behaviour, Accelerated for production-ready features not yet in a major release, and Dev for features in active development. This is a significant shift toward continuous delivery. Opting in now gives your team earlier visibility into what is coming after Summer ’26, rather than discovering it in the next release notes drop. Six steps, one week. Admins who work through this before May 9 spend the upgrade weekend watching things work. Everyone else spends it finding out what broke. Already testing Summer ’26 features in your sandbox? If your org needs a second pair of eyes before the upgrade, our team at truesolv.com does exactly that. Follow us on LinkedIn for release-critical updates every week.
Salesforce Summer 26 Release
Summer ’26 sandboxes start upgrading around May 9. Release notes dropped April 22. If you have not looked at them yet, the window before your sandbox looks different and your customisations start behaving unexpectedly is narrow. This is the short version of what is actually changing — not the full list of every feature, but the things admins and developers should know about before the upgrade arrives. Consideration Preview Sandbox Non-Preview Sandbox When it upgrades Early — around May 9 Upgrades ahead of production release Later — June 5 or June 12 Stays on Spring ’26 longer Testing window for Summer ’26 Longer — you have weeks to validate customisations before production upgrades Shorter — less time between sandbox and production upgrade Stability during active development Lower — your sandbox is on new code while dev work is still in progress Higher — dev work continues on stable Spring ’26 release Best for orgs with Many customisations to validate, time-sensitive compliance testing, proactive release teams Active development sprints, tight deadlines, small teams without dedicated release bandwidth How to opt in Follow the Salesforce Sandbox Preview Guide — window closes before May 9 No action required — non-preview is the default What is in Summer ’26 that admins need to know Agentforce woven into CRM surfaces Summer ’26 moves Agentforce from a standalone layer to something embedded in daily Sales Cloud and Service Cloud workflows. AI summaries, deal coaching suggestions, and automated research appear directly in the views reps already use. For admins, this means any customisations built against these surfaces — record detail layouts, list views, service console components — may need testing against the new Agentforce-aware UI before the upgrade lands. Flow UI improvements: collapsible fault paths and readable data tables Large production flows are hard to maintain when the canvas is an unnavigable tangle of fault paths and unformatted data. Summer ’26 adds collapsible fault paths and a significantly improved data table display inside Flow Builder. These are cosmetic in that they do not change flow behaviour, but the maintenance benefit is real for any org with complex automations. Additionally, Summer ’26 extends Agentforce-powered natural language editing to Screen Flows, having added it to Record-Triggered and Scheduled Flows in Spring ’26. This remains an early-access feature and requires review before applying suggestions to production flows. Accessibility enforcement at 200 percent zoom Salesforce is enforcing accessibility standards for UI components at 200 percent browser zoom in Summer ’26. For orgs with custom Lightning components, custom page layouts, or Visualforce pages, this may produce unexpected layout behaviour that needs testing before the upgrade. Standard Salesforce Lightning components are already compliant. Custom-built components need to be checked. External Client Apps migration enforcement tightens Spring ’26 disabled new Connected App creation across all orgs. Summer ’26 tightens the enforcement further. If your org has Connected Apps that have not been migrated to External Client Apps and your integration depends on them, this is the release where that becomes an active problem rather than a pending one. The Connected Apps that require action are the ones your org created and manages. Managed package apps from vendors are not affected. X (Twitter) Auth Provider callback URL change If your org uses X (formerly Twitter) as an OAuth provider for login or integration, the callback URL configuration requires manual reconfiguration in Summer ’26. This is a small but breaking change for orgs that use it — it will not fix itself automatically. Find it in Setup under Auth. Providers. AI Content Summarizer component available in Lightning App Builder A new AI Content Summarizer component can be dropped onto any Lightning record page directly from App Builder without writing Apex. For admins who want to surface Agentforce value to end users quickly and without a full development engagement, this is the most accessible on-ramp in the Summer ’26 release. Salesforce Summer ’26 release notes ⚠ ECA enforcement tightens in Summer ’26 — what breaks if you skipped Spring ’26 prep Spring ’26 change New Connected App creation was disabled across all orgs by default. A Salesforce Support request could re-enable it — temporarily. Summer ’26 change Enforcement tightens further. The Support workaround is being phased out. Orgs with unmigrated Connected Apps face an increasing compliance and functionality risk. What breaks Integrations that depend on Connected Apps you built and manage — not managed package vendor apps — will face disruption if migration is not completed. Managed package apps are not affected. Action needed Open App Manager → filter by Connected App type → identify apps your org created → confirm migration status. Apps not yet migrated need to move to External Client Apps before enforcement completes. Have questions about anything in the Summer ’26 release notes that could affect your org? That is exactly the kind of thing our team digs into every release cycle. Reach out through truesolv.com. Follow us on LinkedIn for weekly Salesforce release breakdowns.
How to Find Your SaaS PQL in Salesforce
Product-led growth gets talked about as a marketing strategy. It is actually a data strategy. The moment a user signs up for your free trial, they start telling you exactly how likely they are to pay, through every click, every feature they open, and every session they skip. Most SaaS sales teams have no idea any of that is happening. None of it is in their CRM. What is a Product-Qualified Lead? A Product-Qualified Lead, or PQL, is a user who has reached a meaningful milestone inside your product. They activated a key feature, hit a usage threshold, invited a teammate, or upgraded their storage. Whatever the milestone is, they are doing the thing your product is designed to do. That makes them different from every other lead type in your funnel. A Marketing-Qualified Lead clicked an ad or downloaded an ebook. A Sales-Qualified Lead filled out a demo form. Neither has actually used your product. A PQL has, and in most PLG companies, that difference shows up as a 3% conversion rate versus a 25% one. Furthermore, PQLs are consistently underused. Not because companies do not want to act on them, but because the signal lives somewhere the sales team cannot reach. Why the PQL signal gets wasted without CRM integration Product analytics tools capture this data well. Segment, Mixpanel, PostHog, and Amplitude track every session, every feature interaction, and every drop-off point with precision. The dashboards are detailed. The data is there. However, your sales team is not in those dashboards. They are in the CRM. And in most PLG SaaS companies, those two systems do not talk to each other. The result is a structural disconnect. Your product knows which users activated three core features in a seven-day trial. Your reps are calling people who downloaded a whiteboard template six weeks ago. Meanwhile, the user who is two steps from converting sits uncontacted in your product database, not in your pipeline. This is not a prioritisation problem. It is a data infrastructure problem. Specifically, it is fixable. PLG Trial-to-Paid Funnel in Salesforce Trial Signup by source & channel Activation key feature milestone reached PQL Trigger usage threshold, invite, or score met Sales Action rep task auto-created in Salesforce Closed-Won Here is what four common PQL triggers look like in practice. 1. Trial activation trigger A user activates three core features within seven days of signing up. Salesforce creates a task for a rep to reach out with a targeted expansion message. The rep sees the activation data directly on the Lead record. 2. Churn risk alert A user’s engagement drops below their baseline for 14 consecutive days. Salesforce creates a CS alert before the churn event. The CS team can intervene with full context on what the user did and did not do. 3. Account expansion signal Five or more users at the same account invite colleagues during the trial period. Salesforce scores the Account higher and moves it into an expansion workflow automatically. 4. Free-to-paid attribution A free-to-paid conversion is tracked as a closed Opportunity, connected to the original trial Lead record. Marketing attribution becomes real, not estimated. Situation Without PQL data With PQL data in Salesforce Who reps contact first Demo form leads, regardless of product activity Users who activated key features, ranked by engagement score What reps see on a Lead record Name, email, company, source Features activated, sessions logged, days since last login, PQL status Churn detection Customer cancels, CS finds out after the fact Usage drop triggers CS alert at day 14, before churn event Free-to-paid attribution Estimated or modelled based on last-touch channel Closed Opportunity linked directly to original trial Lead record Account expansion signals No visibility until a user reaches out or upgrades manually Automatic score increase when 5+ teammates invited during trial PLG funnel visibility Sign-up volume and revenue, nothing in between Full funnel: signup, activation rate, PQL rate, closed-won from trial How to build this in Salesforce The most practical starting point is a set of Custom Fields on the Lead or Contact record that reflect product activity. You do not need a full Customer Data Platform to get started. You need a clean data feed and clear trigger logic. 3 PQL triggers worth setting up first 1 Feature activation trigger User activates 3 or more core features within 7 days of signing up. This is the clearest signal that the product is working for them, and the highest-intent moment to start a conversation. Trigger: 3 features in 7 daysAction: Rep task created in Salesforce 2 Churn risk trigger User engagement drops below their personal baseline for 14 consecutive days. Acting at day 14 gives CS enough lead time to re-engage before the user mentally cancels. Trigger: 14-day usage dropAction: CS queue alert in Salesforce 3 Account expansion trigger Five or more users from the same account invite colleagues during the trial period. Team adoption during trial is one of the strongest predictors of a paid conversion at the account level. Trigger: 5+ teammate invitesAction: Account score increase + expansion workflow Step 1: Define your PQL criteria Before any configuration, decide what product-qualified means for your specific product. Pick two or three behaviours that correlate with paid conversion in your existing data. Common examples include activating a specific feature, reaching a usage volume threshold, or completing an onboarding checklist. If you do not have conversion data yet, start with Salesforce Trailhead’s PLG resources or the Salesforce Admins blog for benchmark guidance on typical SaaS activation signals. Step 2: Connect your product data to Salesforce The most common paths are a native integration from your analytics tool, a Salesforce-connected webhook from your product backend, or a middleware tool like Segment Connections or Census. Each approach writes product events into Salesforce fields or Custom Objects. Step 3: Build the trigger logic in Salesforce Flow Use Salesforce Flow to create the automation. When a product field meets your PQL criteria, Flow triggers an action. That action
How to Enable Setup with Agentforce in Spring ’26
You know that moment when you are three tabs deep in Salesforce documentation, trying to remember where that one setting lives?
How To Debug Apex Code Without Losing Your Mind
Apex does not come with a pause button. There is no traditional breakpoint that stops execution and lets you poke around. What Salesforce gives you instead is a set of logging, inspection, and replay tools that, used well, make finding the problem faster than most developers expect. This guide covers the practical workflow from first error to confirmed fix, with examples at each step. Step 1: read the error before you do anything else Most debugging sessions start with someone jumping straight into the code. The error message is still the fastest path to the problem, and it is worth reading carefully before opening any tool. Salesforce Apex errors typically tell you the class name, the line number, and the exception type. A System.NullPointerException at line 42 in AccountTriggerHandler is telling you exactly where to look. A System.LimitException: Too many SOQL queries: 101 is telling you the problem is structural, not a typo. The three most common Apex exceptions and what they signal: NullPointerException A variable you expected to have a value is null. Usually means a query returned no records, or an object field was never set. LimitException A governor limit was hit. SOQL inside a loop is the classic cause of the 101 SOQL queries error. DmlException A database operation failed. Required field missing, validation rule violation, or duplicate record are the usual culprits. Step 2: add System.debug() to trace what is happening System.debug() is the starting point for most Apex debugging. It writes output to the debug log, which you can then read to understand what your code was actually doing at each point. Place debug statements before and after the line you suspect is failing, and log the values of the variables involved. Basic System.debug() usage Account acc = [SELECT Id, Name, OwnerId FROM Account WHERE Id = :accountId LIMIT 1]; System.debug('Account retrieved: ' + acc); System.debug('Owner ID: ' + acc.OwnerId); The LoggingLevel parameter controls how much noise you produce in the log. Use LoggingLevel.DEBUG for general tracing and LoggingLevel.ERROR for conditions that should never occur. Using log levels to filter output System.debug(LoggingLevel.DEBUG, 'Entering processAccount method'); System.debug(LoggingLevel.ERROR, 'Account is null – this should not happen'); System.debug(LoggingLevel.FINEST, 'Loop iteration value: ' + i); Setting the log level to FINEST captures everything. That is useful when you have no idea where the problem is. Once you narrow the location down, reduce it to DEBUG to keep the log readable. Step 3: enable debug logs and read them in Developer Console Debug statements only appear if logging is active for the user running the code. Setting up a trace flag takes two minutes and is required before any logging will appear. Go to Setup search for Debug Logs in the Quick Find box. Click New select the user you want to trace, set an expiry time, and choose a debug level. Start with SFDC_DevConsole if you are not sure which level to use. Reproduce the issue trigger the code by running the action that causes the error. Open Developer Console go to the Logs tab and double-click the most recent log entry. Use the filter type the class or method name you are debugging to isolate relevant lines from the noise. The log output includes a timestamp, event type, and the message from your System.debug() call. What to look for: USER_DEBUG lines contain your System.debug() output SOQL_EXECUTE lines show every query that ran and how many rows it returned DML_BEGIN and DML_END wrap every database operation CUMULATIVE_LIMIT_USAGE near the end of the log shows governor limit consumption Step 4: use Execute Anonymous to isolate and test When you want to test a specific piece of logic without triggering the full context of a trigger or flow, Execute Anonymous is the fastest tool available. It runs Apex directly in the org against real data, and the debug log appears immediately. Open it from Developer Console under Debug, then Open Execute Anonymous Window. Testing a query and inspecting results in isolation Id testAccountId = '0015g00000XXXXXX'; List<Account> accts = [ SELECT Id, Name, AnnualRevenue, OwnerId FROM Account WHERE Id = :testAccountId ]; System.debug('Records found: ' + accts.size()); if (!accts.isEmpty()) { System.debug('Account name: ' + accts[0].Name); System.debug('Annual revenue: ' + accts[0].AnnualRevenue); } This approach lets you confirm whether the data you expect to be there actually is, before assuming the logic is wrong. Many debugging sessions end here because the data was the problem, not the code. Step 5: use Apex Replay Debugger for complex flows For situations where System.debug() alone is not enough, VS Code’s Apex Replay Debugger lets you step through a captured debug log line by line, inspect variable values at each point, and set breakpoints on specific lines without stopping real execution. This is the closest Apex gets to a traditional debugger, and it is free with the Salesforce Extension Pack for VS Code. Open the Apex class or trigger in VS Code click in the gutter to the left of the line numbers to set a breakpoint. Enable the replay debugger open the Command Palette with Ctrl+Shift+P and run SFDX: Turn On Apex Debug Log for Replay Debugger. Reproduce the issue in the org trigger the code that is failing. Fetch the log Command Palette, then SFDX: Get Apex Debug Logs, and select the relevant log. Launch the replay Command Palette, then SFDX: Launch Apex Replay Debugger with Current File. Execution will pause at your breakpoints and you can inspect variable values in the VS Code sidebar. Replay Debugger does not run code again. It replays a captured log, so the variable values you see reflect what actually happened during the original execution. This is exactly what makes it useful for reproducing intermittent bugs. Step 6: identify governor limit issues before they become production problems Governor limits are the category of Apex errors that can reach production undetected in low-volume testing and then fail at scale. The most common is the 101 SOQL queries limit caused by queries inside loops. The pattern that causes 101
How Upload Custom Metadata Type from CSV
Salesforce said no to Data Loader for custom metadata. Here is what actually works. The first time most admins try to load custom metadata type records in bulk, they open Data Loader out of habit. Data Loader does not support custom metadata types. It never has. That is not an oversight. Custom metadata lives in the metadata layer, not the data layer, which means the tools built for data records simply do not apply. The good news is that there are three approaches that do work, and choosing the right one depends on who is doing the loading and how many records are involved. Why custom metadata types are different Custom metadata types store configuration, not transactional data. Validation rules, routing logic, feature flags, mapping tables, rate cards, and similar reference data all live there. Because they are part of the metadata layer, they are deployable between environments, version-controllable, and accessible in formula fields and flows without additional SOQL queries. That architecture is what makes them useful. It is also what makes bulk loading feel counterintuitive at first. You are not inserting records into a database table. You are deploying metadata through the Metadata API. Once that distinction is clear, the available approaches make considerably more sense. There are three reliable ways to load custom metadata type records from a CSV file. The Custom Metadata Loader app, the Salesforce CLI, and a Flow-based component. Each has a different profile in terms of setup effort, permissions required, and practical limits. Option one: the Custom Metadata Loader app The Custom Metadata Loader is a Salesforce-built tool available on GitHub. It was the standard approach before CLI commands became generally available, and it remains the most admin-friendly option for teams not using a developer toolchain. Setup requires a one-time deployment to the org, after which admins with the correct permission set can load records directly from the UI without touching a terminal. The tool uses the Metadata API in the background and can process up to 200 records per call. The setup process follows these steps: Download the Custom Metadata Loader from the Salesforce GitHub repository and create a zip file from the contents of the custom_md_loader directory. The package.xml file should sit at the top level of the zip, not inside a subfolder. Log in to Workbench with the target org credentials, navigate to Migration and then Deploy, and upload the zip file. Once deployed, go to Setup and assign the Custom Metadata Loader permission set to anyone who will use the tool. Open the Custom Metadata Loader app from the App Picker and configure Remote Site Settings if prompted. To load records, prepare a CSV file where the header row contains the API names of the custom metadata type fields. The Label or DeveloperName field is required in every file. Either one is sufficient to identify new records or update existing ones. If the org has a namespace, include the namespace prefix in the field API names in the CSV header. Duplicate Label or DeveloperName entries in the file will result in only the last row being processed. Upload the CSV file, select the corresponding custom metadata type from the dropdown, and click Create/Update. The tool will confirm how many records were processed and flag any errors in the output. The 200-record limit per call is worth noting. For larger datasets, the file needs to be split. For very large migrations, the CLI approach removes this constraint entirely. Option two: Salesforce CLI As of Summer 2020, the Salesforce CLI includes dedicated commands for custom metadata types. This is the approach Salesforce now recommends for development workflows, and it has no record limit. The relevant command for inserting records from a CSV file is: sf cmdt generate records –csv CountryMapping.csv –type-name CountryMapping__mdt This command generates the custom metadata record files locally in the project directory. The records then need to be deployed to the org using the standard deploy command: sf project deploy start This command generates the custom metadata record files locally in the project directory. The records then need to be deployed to the org using the standard deploy command: The CSV file format follows the same rules as the Loader approach. The header row must contain field API names, and either Label or DeveloperName is required. The DeveloperName value can only contain alphanumeric characters and underscores, must begin with a letter, and cannot end with an underscore or contain two consecutive underscores. Spaces in name values should be replaced with underscores. The CLI approach fits naturally into a DevOps pipeline. Records can be committed to version control, reviewed before deployment, and promoted through environments using the same workflow as any other metadata change. For teams already running a source-driven development model, this is the more sustainable long-term approach. The steps for a first-time setup follow this sequence: Install the Salesforce CLI and authenticate with the target org using sf org login. Create or open an existing SFDX project in VS Code. Retrieve the custom metadata type definition from the org so the project is aware of its field structure. Prepare the CSV file with the correct field API names in the header row. Run the cmdt generate records command, review the generated files in the CustomMetadata folder, and deploy to org. Option three: a Flow-based screen component For orgs where neither GitHub deployment nor CLI access is practical, a third option exists in the form of a community-built Flow screen component. This approach allows admins to upload a CSV directly from a screen flow in the org, with no external tooling required. The component was created by Salesforce MVP Narender Singh and is available through the UnofficialSF community. It handles the Metadata API calls internally, so the user experience is simply uploading a file and selecting the metadata type. This approach is most appropriate for one-off loads in environments with restricted developer access or where deploying external tools to the org is not straightforward. It is less
How to write Unit Tests with Service Locator
Step-by-step example how to write Salesforce Apex unit tests using the Service Locator pattern.
How to increase code coverage quickly in Salesforce
TrueSolv explains Salesforce Apex code coverage for deployments and AppExchange packages for safer releases.
How to develop flexible Apex code for Salesforce
Day-to-day developer work related not only with writing new functionality but updating existing ones. When a developer tasked with adding a new feature to an existing application, the goal is to extend the functionality of that application with new behaviors. Extending software is the introduction of a new behavior by the addition of code. Some applications are flexible to this kind of change, whereas others may fight you tooth and nail! Flexibility is how easily software can adapt to shifting requirements. In an ideal extensible system, adding new behavior involves strictly adding new code without changing existing code. Adding new behavior to an extensible system means adding new classes, methods, functions, or data that encapsulate the new behavior. But because real systems are rarely ideal, you’ll still find yourself needing to make changes to existing code regularly. One of the things that help developers write clean, well-structured, and easily-maintainable code is SOLID principles.
How To Send Custom Desktop/Push Notifications In Salesforce
Everyone knows that it is so important to send notifications when important events occur. For example, alert an account owner if a new support case is logged while trying to close a deal. Or, send a notification for a unique workflow built entirely with custom objects. Previously, you could send only standard notifications for use cases predefined by Salesforce. Custom notifications allow you to send important information to your users via push to mobile or desktop alerts. Now you can fully customize the notifications to inform users of record information, changes, and updates. Custom notifications will bring relevant information to your users at the right time!
