crm

HubSpot expresses the CRM data model as contacts, companies, deals, and tickets on one unified record, and layers the inbound marketing engine on top. This lesson covers HubSpot's objects and lifecycle stages, its contact-centric model, and the forms, landing pages, email, and lead scoring that execute inbound.

HubSpot grew from a marketing philosophy: attract customers with useful content rather than chase them. This lesson explains inbound and the flywheel that replaced the funnel, HubSpot's freemium free-CRM model, the Hubs that make it all-in-one, and how its approach contrasts with Salesforce's.

Salesforce's data model is the CRM model made concrete: standard objects like Account, Contact, Lead, Opportunity, and Case, extended by custom objects and fields. This lesson covers those objects, how lookup and master-detail relationships link them, and how lead conversion turns a raw prospect into a real relationship.

Salesforce is the largest CRM, but it is more than a CRM: it is a metadata-driven platform you configure rather than code. This lesson explains multi-tenant cloud architecture, why configuration beats code, what an org is, and how the clouds (Sales, Service, Marketing, and more) are apps on one shared foundation.

Most CRM projects fail, and almost never because of the software. This lesson covers the real reasons: poor user adoption, bad data, and weak change management, why the people-and-process problem dominates, how to design a CRM people actually use, and how CRM skill translates into a career.

A CRM's data model becomes useful when it tracks movement: prospects advancing through a lifecycle and deals advancing through a pipeline. This lesson covers the sales pipeline and its stages, the marketing-to-sales lifecycle with MQLs and SQLs, the three types of CRM, and the automation that removes busywork.

A CRM is not software you use, it is the single record of every customer relationship a company has. This lesson explains what a CRM really is, the core data model, companies, people, leads, deals, and activities, and how those objects link together to turn scattered interactions into one coherent picture.

Salespeople spend far less time actually selling than most people think, and AI targets exactly the work that gets in the way. Learn the categories of AI sales tools, lead scoring, outreach, CRM automation, conversation intelligence, and forecasting, how they give reps more selling time, and the caveats around trust, authenticity, and the human close that AI cannot replace.