Salesforce Sales Cloud
Salesforce's CRM for sales teams, covering leads, accounts, opportunities and forecasts, with Agentforce AI agents built in.
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The CRM is the system of record for a sales team. It holds the accounts you sell to, the people inside them, the deals you are working and the history of every email, call and meeting. Forecasts, commission and board reports all come out of it, so its data quality decides how much anyone trusts those numbers.
The CRMs here range from large platforms that can be customized for almost any sales process to lighter tools built for small teams and founders. Larger platforms connect to most other sales tools and support complex territories, products and approval rules, but they need an admin to set up and look after. Lighter CRMs are faster to start with and often capture email and calendar activity automatically, which keeps records fuller with less typing.
AI assistants are now built into most CRMs. They summarize an account before a meeting, draft follow-up emails, fill in fields from emails and calls, score leads and suggest which deals need attention. Some platforms offer agents that can carry out tasks such as researching a new lead or updating a deal stage. These features depend on the data underneath: an assistant reading a CRM full of empty fields and stale deals will give confident answers that are wrong.
What a featured listing costs ยท from $99 a month
Salesforce's CRM for sales teams, covering leads, accounts, opportunities and forecasts, with Agentforce AI agents built in.
HubSpot's sales CRM with deals, sequences, meeting links, a calling tool and Breeze AI features for prospecting and summaries.
Pipeline-first CRM for small and mid-size sales teams, with a visual deal board, activity reminders and an AI sales assistant.
Flexible CRM that builds records from your email and calendar, with custom objects, AI research attributes and workflow automation.
CRM for small sales teams with built-in calling, SMS, email sequences and AI call summaries, all in one app.
Lightweight CRM for small teams and founders that imports contacts from LinkedIn and email and uses AI to enrich records and draft messages.
CRM with sales automation, pipeline management and the Zia AI assistant for predictions, summaries and suggested next actions.
Freshworks' sales CRM with built-in phone and email, deal pipelines and the Freddy AI assistant for scoring and insights.
Microsoft's sales CRM, tied into Outlook and Teams, with Copilot features that summarize records and draft emails.
When you choose a CRM, start with your sales process. Map your deal stages, who owns which accounts, how products and pricing work, and which reports leadership expects. Then check how each CRM models those things and how much of it works without custom development. Ask which integrations you need, such as email, calendar, sequencing, calling and finance systems, and whether they are built by the CRM vendor or by third parties.
Plan for migration if you are switching. Moving contacts is easy; moving activity history, custom fields, reports and automations is not. Check what data can be exported from your current system, and run both systems side by side for a short time if you can. Finally, ask how AI features handle your customer data, where it is processed and whether it is used to train models.
Keep the first version simple. Fewer stages, fewer required fields and a few clear reports tend to get used, while a CRM built to track everything on day one often ends up with half its fields empty.
Small teams usually do best with a CRM they can set up in days, that captures email and calendar activity automatically and that does not need an admin. Look at how pipelines, tasks and reports work out of the box, and check that it connects to the email and calling tools you already use.
Common features include account and deal summaries, email drafts, filling in fields from emails and calls, lead scoring and suggested next steps. Some platforms add agents that complete tasks. Their usefulness depends on how complete and current your CRM data is.
Contacts and companies move easily. Activity history, custom fields, automations and reports take more work, and some history may not transfer cleanly. Plan the migration, test with a sample and keep the old system readable for a while after the switch.
For large, customized platforms, usually yes, either in-house or through a partner. Lighter CRMs can often be run by a sales manager or RevOps generalist. Either way, someone should own field definitions, stage rules and data cleanup.
Ask each vendor where AI processing happens, whether your data is used to train models, how long prompts and outputs are kept and whether you can limit which records AI features can read. Review these settings before turning the features on.