People often confuse CDP and CRM, two technologies that deal with customer data. But in reality, they are designed to perform really different functions.
Knowing the differences between CDP and CRM is crucial if you're a marketer or decision maker who’s selecting tools to gather customer data.
In this article, you learn everything you need to know about customer relationship management software and customer data platforms.
We will look at their functions, benefits, and use cases, to make sure you invest in the right customer data and relationship software.
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A Customer Data Platform (CDP) is a technology that consolidates and integrates customer data from various sources into a single, comprehensive database.
This unified customer database is accessible by other systems and can be used to provide a consistent, personalized customer experience across all channels and touchpoints.
CDPs collect data from online and offline sources, including websites, mobile apps, email platforms, and customer service interactions, compiling this information into a single source of truth within a company.
It allows to create a detailed profile for each individual customer, as well as to segment audience based on various factors, from user traits, interests, location, to past behaviors.
CDP-created customer profiles can then be used for targeted marketing efforts, personalization, customer segmentation, and to drive customer engagement and loyalty by ensuring that every interaction is tailored to the customer's preferences and behaviors.
A Customer Relationship Management (CRM) software is a technology solution designed to help businesses manage and analyze customer interactions and data throughout the customer lifecycle.
The primary goal of CRM software is to improve business relationships with customers, assist in customer retention, and drive sales growth.
It achieves this by centralizing customer information, which can include contact details, purchase history, preferences, and previous interactions with customer service into a single database.
This consolidation makes the data accessible and usable for various business functions, enabling sales teams, marketing departments, and customer service representatives to have a comprehensive view of each customer.
CRM systems offer tools and features for tracking and managing customer interactions through multiple channels such as emails, phone calls, social media, and websites.
They also provide functionality for automating processes like sales tasks, marketing campaigns, and service inquiries.
Moreover, CRM software can analyze data to offer insights into sales trends, customer behavior, and campaign effectiveness, helping businesses make informed decisions and tailor their strategies to better meet their customers' needs.
Learn more about CRM and personal CRM in our in-depth guides.
Generally, a CRM system supports sales, while a CDP creates a more complete view of customer relationships beyond the sales cycle.
CDP also provides integrations and an environment to support you in the various stages of a full customer experience cycle.
Meanwhile, CRM systems primarily focus on managing customer relationships, processes, and business interactions.
CDPs collect data from various sources, integrating and consolidating it to create unified customer profiles and then analyzing this data for actionable insights.
The management of data in a CDP system can be explained with several key stages:
1. Data Collection:
2. Data Integration:
3. Data Storage:
4. Data Processing and Management:
5. Data Analysis and Insights:
6. Data Activation:
7. Compliance and Privacy:
Meanwhile, CRM software streamlines and automates the management of customer data. Then, it transforms it into actionable insights that drive sales, improve customer engagement, and enhance the efficiency of marketing and service teams.
The process of managing data in a CRM system can be broken down into several critical steps:
1. Data Collection:
2. Data Organization:
3. Data Accessibility:
4. Data Management and Tracking:
5. Data Analysis and Reporting:
6. Customer Service and Support:
7. Compliance and Data Security:
CDPs are great for engaging with leads and prospects, while CRMs are made for managing the relationship with your customers. But they can work best when used together.
While CRM systems are very effective for teams directly interacting with customers (sales, customer service) and managing customer relationships, CDPs are particularly valuable for marketing departments and anyone involved in creating a unified customer view to tailor marketing efforts.
Moreover, larger companies with complex customer data environments will benefit from employing both CRM and CDP systems. But that may come as a hefty investment.
The main differences are: a CDP integrates and unifies customer data, creating the most accurate user profile. A CRM system is typically managed by a sales team, with limited data integration. A DMP uses third-party data, stored temporarily, creating an audience-based persona.
Disorganised data, customer identification, simple segmentation
CDPs need to bring in a lot of data from a lot of technology systems, which requires a lot of integrations and APIs. Make sure the CDP’s data model fits with your data systems.
Salesforce has a Customer Data Platform solution called Genie. It helps businesses to save time and spend with intelligent targeting, fast segmentation, and real-time automation.
Some of the best CDPs include Segment, Emarsys, Optimove, Lytics, BlueConic, Bloomreach Engagement.
Among the best ones are Salesforce Sales Cloud, HubSpot, Pipedrive, Zoho CRM.
G2 Rating | Price | Best for | Standout feature | Con | |
---|---|---|---|---|---|
4.9 star star star star star | $30/mo $75/mo $2,999/mo | Large, distributed sales teams | AI evaluation precision, gamified KPIs | Lack of tracking system | |
4.6 star star star star star-half | Not publicly available | Sales operations and finance teams | Powerful configurability | Limited training resources and complex to navigate | |
4.4 star star star star star-half | Not publicly available | Mid-market and enterprise businesses | Comprehensive incentive management | Potentially high cost and steep learning curve | |
4.7 star star star star star-half | $15/user/mo $40/user/mo Enterprise: custom price | Complex sales structures and businesses of all sizes | Complex sales structures and businesses of all sizes | Steep learning curve | |
4.6 star star star star star-half | Not publicly available | Collaborative teams | Connected planning | Complexity and steep learning curve | |
4.6 star star star star star-half | Not publicly available | Companies with complex sales structures | Complex incentive compensation management (ICM) with high efficiency and accuracy | Complexity for smaller teams and potentially high costs | |
4.7 star star star star star-half | Not publicly available | Companies who want to automate commission calculations and payouts | Simplicity and ease of use | Lack of features like redirection | |
4.7 star star star star star-half | $30/user/mo $35/user/mo Custom: upon request | Businesses that need a comprehensive and user-friendly sales compensation management software | Ease of use and adoption | Lack of ability to configure the product based on user needs | |
4.8 star star star star star-half | Not publicly available | Companies with modern sales culture and businesses who want real-time insights | A built-in dispute management and real-time visibility | Users say it works slowly, customer support is slow | |
4.9 star star star star star | $30/user/mo $50/user/mo | Smaller sales teams | Powerful automation | Lesser user base and average user interface | |
4.7 star star star star star-half | Not publicly available | Companies with scalable needs | Automated Commission Calculations | Lack of filtering by date, no mobile app |
PRM Tool | Rating | Feature | Pro | Con | Mobile App | Integrations | Free Plan | Pricing |
---|---|---|---|---|---|---|---|---|
4.65 star star star star star-half | Org-wide alignment | User-friendly layout and database | Suboptimal as a personal CRM | square-check | Lack of tracking system | square-check | Team: $20/month Business: $45/month | |
4.7 star star star star star-half | Social Media Integration | Easy contact data collection | No marketing/sales features | square-check | Lack of tracking system | square-xmark 7-day trial | $12/month | |
4.75 star star star star star-half | Block Functions | High customization capability | Not a dedicated CRM | square-check | Limited | square-check | Plus: €7.50/month Business: €14/month | |
N/A | Open-source | Open-source flexibility | Requires extensive manual input | square-xmark | Limited | square-check Self-hosted | $9/month or $90/year | |
3.1 star star star | Simple iOS app | Ideal for non-tech-savvy users | iPhone only | square-check iOS only | Limited | square-xmark 1-month trial | $1.49/month or $14.99/month | |
3.6 star star star star-half | Smart Contact Management | Feature-rich and flexible | Reported bugs | square-check | Rich | square-xmark 7-day trial | Premium: $13.99/month Teams: $17.99/month | |
4.4 star star star star star-half | Customizable Interface | Customizable for teamwork | Pricey for personal use | square-check | Rich | square-xmark | Standard: $24/member Premium: $39/member | |
4.7 star star star star star-half | Integrated Calling | Integrated Calling | Too sales-oriented & pricey | square-check | Rich | square-xmark 14-day trial | Startup: $59/user/month Professional: $329/user/month | |
4.8 star star star star star | Business Card Scanning | Business Card Scanning | Mobile only | square-check | Limited | square-check | $9.99/month | |
4.45 star star star star star-half | 160+ app integrations | Comprehensive integrations | No free app version | square-check | Rich | square-xmark 14-day trial | $29.90/month or $24.90/month (billed annually) |
Capterra Rating | Free Trial | Free Plan | Starting Price (excluding the free plan) | Maximum Price (for the most expensive plan) | Best for | |
---|---|---|---|---|---|---|
4.5 star star star star star-half | square-check 14-day | square-check | €15/month/seat billed annually | €792/month/3 seats billed annually + €45/month for each extra seat | Versatility and free plan | |
4.2 star star star star | square-check 30-day | square-xmark But it offers reduced price to authorised nonprofit organisations | €25/user/month | €500/user/month billed annually (includes Einstein AI) | Best overall operational CRM | |
4.3 star star star star star-half | square-xmark | square-check Limited to 3 users | Comprehensive incentive management | €52/user/month billed annually | Small-medium businesses and automation | |
4.5 star star star star star-half | square-check 14-day | square-xmark | €14/seat/month billed annually | €99/seat/month billed annually | Sales teams and ease of use | |
4.1 star star star star | square-xmark | square-check Limited 10 users | $9.99/user/month billed annually | $64.99/user/month billed annually | Free plan for very small teams up to 10 |
CRM goal | Increase the sales conversion rate for qualified leads from marketing automation campaigns by 10% in the next 6 months. | ||||
SMART Breakdown | 1. Specific: It targets a specific area (conversion rate) for a defined segment (qualified leads from marketing automation). | 2. Measurable: The desired increase (10%) is a clear metric, and the timeframe (6 months) allows for progress tracking. | 3. Achievable: A 10% increase is possible based on historical data and potential improvements. | 4. Relevant: Boosting sales from marketing efforts aligns with overall business objectives. | 5. Time-bound: The 6-month timeframe creates urgency and a clear target date. |
Actions | Step 1: Refine lead qualification criteria to ensure high-quality leads are nurtured through marketing automation. | Step 2: Personalize marketing automation campaigns based on lead demographics, interests, and behavior. | Step 3: Develop targeted landing pages with clear calls to action for qualified leads. | Step 4: Implement lead scoring to prioritize high-potential leads for sales follow-up. | Step 5: Track and analyze campaign performance to identify areas for optimization. |
Outcomes | Increased sales and revenue | Improved marketing automation ROI | Marketing and sales alignment | Data-driven marketing optimization |