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The decision on the table is which system owns the customer profile. Choose badly and you pay twice: once for a platform that duplicates what you already have, and again to reconcile the numbers between them. The answer depends on how many systems hold customer data today, how much of your marketing runs on your own data and how fast you need to act on behaviour.
A CRM runs the relationship with known customers
A customer relationship management (CRM) system such as Sales Cloud or Service Cloud holds the records people work with every day: accounts, contacts, opportunities, cases and the history of each conversation. It is built for transactions and processes. A sales representative updates a deal, an agent closes a case, and automation reacts to each change.
A CRM is weaker with behavioural data at scale. Web clicks, app events and email engagement arrive in volumes that a transactional database is not designed to store or query, and the same customer often exists in it more than once. The benefits of Salesforce CRM sit in sales and service processes, which is why it should stay the system of record for them.
A CDP unifies first-party data into one profile
A customer data platform (CDP) collects first-party data from every source, including CRM, commerce, marketing engagement, point of sale and loyalty. It resolves which records belong to the same person and makes that profile available for segmentation and activation. Salesforce's own CDP started as Customer 360 Audiences, became Salesforce CDP and then Data Cloud (Data 360), the name it carries now.
Picture one customer who browses as a guest, buys online with an account, redeems loyalty points in a store and calls the service desk about a return. In four systems she is four people. A CDP makes her one, and personalisation and fair frequency limits depend on that. Whether unification justifies a new platform depends on your channel mix, and when Salesforce Data Cloud pays off is the question to settle first. In the Data Cloud projects we run inside our marketing automation practice, the hard part is usually the gaps between systems.
A DMP targets anonymous audiences for advertising
A data management platform (DMP) works with mostly anonymous data, often from third-party cookies, to build audiences for programmatic advertising. Its profiles are groups of devices and cookies that expire quickly, with no named customer behind them. That model is shrinking.
Browser restrictions on third-party cookies and stricter consent rules have narrowed what a DMP can do. Many advertisers now build audiences from their own customer data in a CDP and send them straight to advertising platforms such as Google and Meta. A DMP still has a role where you buy reach among people you do not know yet and your own data is thin.
