Customer relationship management (CRM)

Customer Relationship Management (CRM) is a strategic approach aimed at managing and improving interactions and relationships with customers throughout their lifecycle. The objective is to enhance customer satisfaction, ensure loyalty, and drive sales growth by better understanding and responding to customer needs.

CRM as a Technology Platform: CRM often refers specifically to technology platforms designed to facilitate these efforts. CRM systems are comprehensive software solutions that collect and organize customer data across multiple touchpoints, including the company’s website, telephone, email, live chat, and social media. These platforms help businesses track interactions, automate sales and marketing processes, provide customer support, and generate actionable analytics. Examples of popular CRM technology platforms include:

Salesforce: A widely recognized leader in CRM, offering a range of cloud-based tools that cater to sales, marketing, customer service, and more.

Microsoft Dynamics 365: Integrates CRM with ERP capabilities and offers extensive customization through Microsoft’s broad software ecosystem.

HubSpot CRM: Known for its user-friendly interface and effectiveness in inbound marketing and sales strategy automation.

Oracle CRM: Provides a comprehensive suite of CRM tools and technologies tailored to larger enterprises with complex CRM needs.

Zoho CRM: Offers a diverse set of features at competitive pricing, making it suitable for small to medium-sized businesses.

By utilizing these CRM platforms, companies can centralize their customer data and interactions, streamline their operations, and leverage insights to tailor interactions, enhancing the overall efficiency and effectiveness of customer relationship management.

Relevant content

Build a more effective and durable revenue engine through customer success

Customer Success (CS) has evolved from a reactive customer service role into a strategic imperative for B2B organizations. Download the framework for all the details on transforming your CS function and get our checklist of 6 to-dos.
marketing analytics pitfalls

6 most common marketing analytics pitfalls

Over the past decade, we have identified 6 common pitfalls that hinder effectiveness. By understanding these pitfalls upfront, marketing analytics teams can operate in a more agile, scientific way.

Conducting a data audit to prepare for digital sales transformation

There are seven key traits to establish a strong data foundation that will help prepare you for a successful digital sales transformation. Download the framework for these key traits and get nine actionable tasks to help you prepare for digital sales transformation.

Overcoming 3 common barriers to create a data-driven sales culture

We’ve seen three common barriers that impede the successful adoption of data-driven insights by your sales channels. Download the framework for 10 go-dos to break through these adoption barriers and drive revenue growth.
Skip to content