CRM: definition, features and role in analytics
Updated on February 22, 2026
Quick definition
A CRM (Customer Relationship Management) is a software system that centralises all interactions and data related to a company's customers and prospects to improve commercial relationships, retention and revenue growth. The CRM is the backbone of customer management, aligning sales, marketing and support teams around a unified view of the customer.
How it works
A CRM collects, organises and analyses three main categories of data:
- Contact data: details, purchase history, past interactions
- Sales opportunities: pipeline, deal stages, closing probability
- Team activities: calls, emails, meetings, tasks
Modern CRMs such as Salesforce, HubSpot or Pipedrive integrate marketing automation modules, lead scoring and advanced reporting.
In an analytics context, the CRM is a valuable source of behavioural and transactional data: it makes it possible to tie web events (visits, clicks) to enriched customer profiles. A user who visits the pricing page three times can trigger an alert in the CRM for the sales team.
CRM-analytics integration enables crucial metrics such as LTV, CAC per channel or conversion rate by acquisition source. CRM differs from CDP in that it is primarily geared towards sales and support teams, whereas CDPs aggregate data from all sources for advanced marketing use cases.
Why it matters
A CRM is essential to maintain personalised customer relationships at scale.
- It prevents duplicate communications between teams
- It helps prioritise sales effort on the most qualified prospects
- It measures sales team performance with precision
In analytics, it provides the business context without which web metrics remain superficial: knowing that a visitor converted into a paying customer at €500/year transforms how you read your acquisition funnel.
How to improve or use it
- 1Integrate your CRM with your analytics tool to enrich user profiles with web behavioural data.
- 2Define custom fields aligned with your OKRs (acquisition channel, product segment).
- 3Automate sales task creation based on analytics behaviour (3 visits to the pricing page → follow-up).
- 4Regularly clean obsolete data and standardise data-entry processes.
- 5Align marketing and sales on a shared definition of the qualified lead (MQL → SQL).
With Sublim
Sublim can send enriched events to your CRM via its webhook and API integrations, without using third-party cookies. This analytics-CRM connection gives you a full view of the customer journey, from the first visit to purchase, while remaining GDPR-compliant.
Frequently asked questions
What is the difference between a CRM and a CDP?
A CRM is centred on commercial interactions and the sales pipeline, primarily used by sales and support teams. A CDP (Customer Data Platform) aggregates behavioural data from every source (web, mobile, CRM, email) to build unified profiles intended for advanced marketing and analytics use cases.
Does a CRM replace an analytics tool?
No, the CRM and the analytics tool are complementary. The CRM tracks individual interactions with identified customers, while analytics measures the aggregate behaviour of all visitors. Integrating both gives the most complete view of the customer journey.
Which CRMs are most widely used in France?
The most widespread CRMs in France are Salesforce (large enterprises), HubSpot (SMBs and startups), Pipedrive (field sales teams), Zoho CRM (small businesses) and Microsoft Dynamics 365 (companies embedded in the Microsoft ecosystem).
Related terms
A CDP (Customer Data Platform) is a software platform that collects an…
Lead scoring is a rating system that assigns a score to each prospect …
LTV (Lifetime Value), or customer lifetime value, is the total revenue…
CAC (Customer Acquisition Cost) represents the total amount invested —…