While technically possible, using multiple CRM models simultaneously isn't the best practice. Here's why:

Some challenges:

• Data fragmentation: Splitting data across systems creates an incomplete picture of your relationships and interactions. It's hard to gain insights or analyse trends effectively.
• Duplication of effort: Entering data, managing updates, and generating reports multiplies across platforms, consuming valuable time and resources.
• Synchronisation issues: Keeping information consistent across multiple systems is complex and error-prone, leading to inaccurate data and unreliable insights.
• User confusion: Switching between interfaces and learning different systems can be frustrating and inefficient for your team.

What you can do instead:

• Consolidate into a single CRM: Evaluate your needs and choose a comprehensive CRM that caters to all your requirements.
• Integrate complementary tools: If specific features are missing in your main CRM, consider integrated extensions or specialised tools for specific tasks.
• Segment data within one CRM: Some CRMs allow sub-segmenting data based on departments, teams, or projects, offering a focused view within a unified platform.

Remember, a streamlined CRM system promotes efficiency, data accuracy, and better decision-making. Evaluate your needs carefully and choose an approach that avoids the pitfalls of juggling multiple models.