In today’s fast-paced business landscape, building and maintaining strong customer relationships is more crucial than ever. With the rise of digital transformation, companies are constantly looking for innovative ways to streamline their operations, improve customer satisfaction, and stay ahead of the competition. This is where CRM automation comes in – a game-changing technology that’s revolutionizing the way businesses interact with their customers. According to recent research, AI-powered automation is at the forefront of this revolution, enabling predictive analytics, hyper-personalization, and intelligent automation. In fact, studies have shown that companies using AI-driven CRM automation have seen a significant increase in customer satisfaction and retention rates.
The importance of CRM automation cannot be overstated. With the average customer expecting a personalized and seamless experience across all touchpoints, businesses need to be able to respond quickly and effectively to their needs. By automating routine tasks and leveraging data analytics, companies can free up more time to focus on high-value activities like building strong relationships and driving revenue growth. As Forrester notes, companies that prioritize customer experience are more likely to see increased customer loyalty, retention, and ultimately, revenue.
Why CRM Automation Matters
So, why is CRM automation such a critical component of modern customer relationship management? The answer lies in its ability to drive efficiency, productivity, and personalization. By automating tasks such as data entry, lead scoring, and customer service, businesses can reduce the risk of human error, improve response times, and provide a more tailored experience for their customers. Additionally, CRM automation enables companies to gain valuable insights into customer behavior, preferences, and pain points, allowing them to make data-driven decisions and drive business growth.
In this ultimate guide to CRM automation, we’ll delve into the key statistics, trends, and actionable insights that are shaping the industry. We’ll explore the benefits of CRM automation, including:
- Improved customer satisfaction and retention rates
- Increased efficiency and productivity
- Enhanced personalization and customization
- Valuable insights into customer behavior and preferences
We’ll also examine the latest tools and software, expert insights, and market data that are driving the adoption of CRM automation. Whether you’re a business leader, marketing professional, or sales expert, this guide will provide you with the knowledge and expertise you need to revolutionize your customer relationships and drive business success. So, let’s get started and explore the exciting world of CRM automation.
Introduction to CRM Automation
Customer relationship management (CRM) is a vital aspect of any business, as it helps to build and maintain strong relationships with customers. In today’s digital age, CRM has become more complex, with the need to manage large amounts of customer data, interactions, and feedback. This is where CRM automation comes in, revolutionizing the way businesses interact with their customers. According to a report by Gartner, the CRM market is expected to reach $82.7 billion by 2025, with automation being a key driver of this growth.
In this section, we will explore the world of CRM automation, looking at what it is, how it works, and the benefits it can bring to businesses. We will also examine some real-life examples of companies that have successfully implemented CRM automation, such as Salesforce and HubSpot. Additionally, we will discuss the role of artificial intelligence (AI) in CRM automation, and how it is enabling predictive analytics, hyper-personalization, and intelligent automation.
Defining CRM Automation
CRM automation refers to the use of technology to automate repetitive and mundane tasks in the CRM process. This can include tasks such as data entry, lead qualification, and follow-up emails. By automating these tasks, businesses can free up more time to focus on high-value activities, such as building relationships with customers and identifying new sales opportunities. For example, Marketo is a popular CRM automation tool that allows businesses to automate tasks such as lead scoring and nurturing.
Some of the key benefits of CRM automation include increased efficiency, improved accuracy, and enhanced customer experiences. According to a report by Forrester, businesses that implement CRM automation can see a return on investment (ROI) of up to 245%. Additionally, a survey by CRM Magazine found that 75% of businesses that use CRM automation report an improvement in customer satisfaction.
Some of the key features of CRM automation include:
- Lead management: automating the process of capturing, qualifying, and assigning leads to sales teams.
- Contact management: automating the process of managing contact information, interactions, and feedback.
- Marketing automation: automating the process of creating, sending, and tracking marketing campaigns.
- Sales automation: automating the process of managing sales pipelines, forecasting, and performance tracking.
Real-Life Examples of CRM Automation
Many companies have successfully implemented CRM automation to improve their customer relationships and drive business growth. For example, Amazon uses CRM automation to personalize customer experiences, offer tailored recommendations, and improve customer service. Another example is Starbucks, which uses CRM automation to manage customer loyalty programs, offer personalized promotions, and improve customer engagement.
These companies have seen significant benefits from implementing CRM automation, including increased customer satisfaction, improved sales performance, and enhanced competitiveness. According to a report by IDC, businesses that use CRM automation can see a 25% increase in sales performance and a 30% increase in customer satisfaction.
Company | CRM Automation Tool | Benefits |
---|---|---|
Amazon | Salesforce | Personalized customer experiences, improved customer service |
Starbucks | Microsoft Dynamics | Improved customer loyalty, personalized promotions |
In conclusion, CRM automation is a powerful tool that can help businesses build stronger relationships with their customers, drive business growth, and improve competitiveness. By automating repetitive and mundane tasks, businesses can free up more time to focus on high-value activities and improve customer experiences. As the CRM market continues to grow, we can expect to see more businesses adopting CRM automation to stay ahead of the curve.
AI-Powered CRM Trends
AI is revolutionizing CRM automation by enabling predictive analytics, hyper-personalization, and intelligent automation. According to a report by Gartner, the use of AI in CRM automation is expected to increase by 50% in the next two years. This is because AI-powered automation can help businesses to better understand their customers, personalize their interactions, and improve their overall customer experience.
One of the key trends in AI-powered CRM automation is the use of machine learning algorithms to analyze customer data and predict their behavior. For example, Salesforce uses machine learning algorithms to analyze customer data and predict their likelihood of making a purchase. This allows businesses to target their marketing efforts more effectively and improve their conversion rates. Additionally, companies like HubSpot are using AI-powered chatbots to provide personalized customer support and improve customer satisfaction.
Key Features of AI-Powered CRM Automation
Some of the key features of AI-powered CRM automation include predictive analytics, hyper-personalization, and intelligent automation. Predictive analytics uses machine learning algorithms to analyze customer data and predict their behavior. Hyper-personalization uses customer data to create personalized marketing messages and improve customer engagement. Intelligent automation uses machine learning algorithms to automate repetitive and mundane tasks, such as data entry and lead qualification.
For instance, Marketo is a popular CRM automation tool that uses AI-powered predictive analytics to help businesses identify and target their most valuable customers. Another example is Microsoft Dynamics, which uses AI-powered automation to help businesses streamline their sales and marketing processes.
- Predictive analytics: uses machine learning algorithms to analyze customer data and predict their behavior
- Hyper-personalization: uses customer data to create personalized marketing messages and improve customer engagement
- Intelligent automation: uses machine learning algorithms to automate repetitive and mundane tasks, such as data entry and lead qualification
According to a report by Forrester, businesses that use AI-powered CRM automation can see a return on investment (ROI) of up to 300%. Additionally, a survey by CRM Magazine found that 80% of businesses that use AI-powered CRM automation report an improvement in customer satisfaction.
Company | AI-Powered CRM Automation Tool | Benefits |
---|---|---|
Salesforce | Einstein | Predictive analytics, hyper-personalization, intelligent automation |
HubSpot | Conversations | AI-powered chatbots, personalized customer support |
In conclusion, AI-powered CRM automation is a powerful tool that can help businesses to better understand their customers, personalize their interactions, and improve their overall customer experience. By leveraging the power of AI, businesses can stay ahead of the curve and drive business growth in a competitive market. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Some of the current trends in AI-powered CRM automation include the use of natural language processing (NLP) to analyze customer feedback and improve customer satisfaction. For example, companies like Amazon are using NLP to analyze customer reviews and improve their product offerings. Another trend is the use of machine learning algorithms to predict customer churn and prevent customer loss. For instance, companies like Netflix are using machine learning algorithms to predict customer churn and offer personalized recommendations to prevent customer loss.
According to a report by IDC, the use of AI in CRM automation is expected to increase by 200% in the next five years. This is because AI-powered automation can help businesses to improve their customer relationships, drive business growth, and stay ahead of the curve in a competitive market. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Best Practices for Implementing AI-Powered CRM Automation
Some of the best practices for implementing AI-powered CRM automation include starting small, focusing on customer experience, and continuously monitoring and evaluating the effectiveness of the automation. Additionally, businesses should ensure that they have the necessary infrastructure and resources in place to support the automation, such as data storage and analytics tools.
- Start small: begin with a small-scale implementation and gradually scale up as needed
- Focus on customer experience: prioritize the customer experience and ensure that the automation is aligned with customer needs and expectations
- Continuously monitor and evaluate: continuously monitor and evaluate the effectiveness of the automation and make adjustments as needed
By following these best practices and leveraging the power of AI, businesses can ensure that their CRM automation is effective, efficient, and aligned with customer needs and expectations. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Statistics and Market Trends
The statistics and trends surrounding CRM automation are a testament to its growing importance in the business world. According to a report by Gartner, the CRM software market is expected to reach $82.7 billion by 2025, with a compound annual growth rate (CAGR) of 12.1%. This growth is driven by the increasing adoption of cloud-based CRM solutions, which offer greater flexibility, scalability, and cost savings compared to traditional on-premise solutions.
A study by Salesforce found that 75% of businesses that use CRM automation experience an increase in customer satisfaction, while 64% see an increase in sales productivity. Another study by HubSpot found that businesses that use CRM automation are 1.5 times more likely to experience revenue growth compared to those that do not use CRM automation.
Current Trends in CRM Automation
Some of the current trends in CRM automation include the use of artificial intelligence (AI) and machine learning (ML) to drive predictive analytics and hyper-personalization. For example, companies like Amazon and Netflix are using AI-powered CRM automation to predict customer behavior and offer personalized recommendations. Another trend is the increasing use of cloud-based CRM solutions, which offer greater flexibility, scalability, and cost savings compared to traditional on-premise solutions.
According to a report by IDC, the use of AI in CRM automation is expected to increase by 200% in the next five years. This is because AI-powered automation can help businesses to improve their customer relationships, drive business growth, and stay ahead of the curve in a competitive market. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Company | CRM Automation Solution | Benefits |
---|---|---|
Salesforce | Einstein | Predictive analytics, hyper-personalization, intelligent automation |
Microsoft | Dynamics | AI-powered automation, predictive analytics, customer insights |
Some of the key statistics and trends in CRM automation include the following:
- 75% of businesses that use CRM automation experience an increase in customer satisfaction
- 64% of businesses that use CRM automation see an increase in sales productivity
- 1.5 times more likely to experience revenue growth compared to those that do not use CRM automation
- 200% increase in the use of AI in CRM automation expected in the next five years
- 12.1% CAGR in the CRM software market expected by 2025
In conclusion, CRM automation is a pivotal component of modern customer relationship management, driven by advancements in AI, automation, and data analytics. By leveraging the power of AI and machine learning, businesses can drive predictive analytics, hyper-personalization, and intelligent automation, leading to improved customer relationships and increased revenue growth. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Case Studies and Real-World Implementations
Building on the tools and trends discussed earlier, let’s dive into some real-world implementations of CRM automation. Companies like Amazon and Netflix are using AI-powered CRM automation to predict customer behavior and offer personalized recommendations. For instance, Amazon’s recommendation engine is powered by a complex algorithm that analyzes customer purchase history, browsing behavior, and search queries to suggest products that are likely to interest them. This has led to a significant increase in sales and customer satisfaction for the company.
Another great example is Salesforce, which has implemented a comprehensive CRM automation system that includes predictive analytics, hyper-personalization, and intelligent automation. According to a study by Salesforce, 75% of businesses that use CRM automation experience an increase in customer satisfaction, while 64% see an increase in sales productivity. This is because CRM automation enables businesses to respond quickly to customer inquiries, provide personalized support, and offer tailored solutions that meet their needs.
Case Studies of CRM Automation
Let’s take a look at some specific case studies of CRM automation. For example, Microsoft has implemented a CRM automation system that uses AI-powered automation to predict customer behavior and offer personalized recommendations. This has led to a significant increase in sales and customer satisfaction for the company. Similarly, HubSpot has implemented a CRM automation system that uses machine learning to analyze customer data and provide personalized support.
According to a report by IDC, the use of AI in CRM automation is expected to increase by 200% in the next five years. This is because AI-powered automation can help businesses to improve their customer relationships, drive business growth, and stay ahead of the curve in a competitive market. Some of the key benefits of CRM automation include:
- Improved customer satisfaction
- Increased sales productivity
- Enhanced customer experience
- Reduced costs
- Increased revenue growth
Some of the key statistics and trends in CRM automation include:
- 75% of businesses that use CRM automation experience an increase in customer satisfaction
- 64% of businesses that use CRM automation see an increase in sales productivity
- 1.5 times more likely to experience revenue growth compared to those that do not use CRM automation
- 200% increase in the use of AI in CRM automation expected in the next five years
- 12.1% CAGR in the CRM software market expected by 2025
Here’s a comparison of some of the popular CRM automation solutions:
Company | CRM Automation Solution | Benefits |
---|---|---|
Salesforce | Einstein | Predictive analytics, hyper-personalization, intelligent automation |
Microsoft | Dynamics | AI-powered automation, predictive analytics, customer insights |
HubSpot | HubSpot CRM | Machine learning, predictive analytics, customer segmentation |
In conclusion, CRM automation is a pivotal component of modern customer relationship management, driven by advancements in AI, automation, and data analytics. By leveraging the power of AI and machine learning, businesses can drive predictive analytics, hyper-personalization, and intelligent automation, leading to improved customer relationships and increased revenue growth. As the CRM market continues to evolve, we can expect to see more businesses adopting AI-powered CRM automation to improve their customer relationships and drive business success.
Tools and Software for CRM Automation
Building on the case studies and trends discussed earlier, let’s dive into a comprehensive overview of the tools and software available for CRM automation. The market is filled with a wide range of solutions, each with its unique features, benefits, and pricing models. In this section, we will explore some of the most popular CRM automation tools and software, highlighting their key features, pros, and cons, as well as their best use cases and pricing structures.
Comparison of CRM Automation Tools
Before we delve into the details of each tool, let’s take a look at a comprehensive comparison table to get an overview of the key features, pricing, and best use cases for each tool.
Tool | Key Features | Pricing | Best For | Rating |
---|---|---|---|---|
Salesforce Sales Cloud | Predictive analytics, hyper-personalization, intelligent automation | $75/user/month | Large enterprises | 4.5/5 |
HubSpot CRM | Machine learning, predictive analytics, customer segmentation | $50/user/month | Small to medium-sized businesses | 4.2/5 |
Pipedrive | Sales pipeline management, automation, reporting | $15/user/month | Small businesses | 4.0/5 |
Zoho CRM | Lead management, sales forecasting, marketing automation | $12/user/month | Small to medium-sized businesses | 4.1/5 |
Detailed Listings of CRM Automation Tools
Let’s take a closer look at each of these tools, highlighting their key features, pros, and cons, as well as their best use cases and pricing structures.
1. Salesforce Sales Cloud
As one of the most popular CRM automation tools on the market, Salesforce Sales Cloud offers a wide range of features, including predictive analytics, hyper-personalization, and intelligent automation. With its robust platform, businesses can drive revenue growth, improve customer satisfaction, and stay ahead of the competition.
Key Features:
- Predictive analytics to anticipate customer behavior
- Hyper-personalization to deliver tailored experiences
- Intelligent automation to streamline sales processes
- Integration with other Salesforce tools for a seamless experience
Pros:
- Robust platform with a wide range of features
- Highly customizable to meet specific business needs
- Excellent customer support and resources
Cons:
- Steep learning curve
- Expensive, especially for small businesses
- Complex setup and implementation process
Best For:
Large enterprises that require a robust CRM automation platform with advanced features and customization options.
Pricing:
$75/user/month, with discounts available for large teams and long-term commitments.
2. HubSpot CRM
HubSpot CRM is another popular CRM automation tool that offers a range of features, including machine learning, predictive analytics, and customer segmentation. With its user-friendly interface and affordable pricing, it’s an excellent choice for small to medium-sized businesses.
Key Features:
- Machine learning to analyze customer data and behavior
- Predictive analytics to anticipate customer needs
- Customer segmentation to deliver targeted experiences
- Integration with other HubSpot tools for a seamless experience
Pros:
- User-friendly interface and easy setup process
- Affordable pricing options for small to medium-sized businesses
- Excellent customer support and resources
Cons:
- Limited features compared to other CRM automation tools
- Less customizable than other platforms
- Integration issues with certain third-party tools
Best For:
Small to medium-sized businesses that require a user-friendly CRM automation platform with affordable pricing options.
Pricing:
$50/user/month, with discounts available for large teams and long-term commitments.
3. Pipedrive
Pipedrive is a CRM automation tool that specializes in sales pipeline management, automation, and reporting. With its easy-to-use interface and affordable pricing, it’s an
Expert Insights and Best Practices
Building on the tools discussed earlier, let’s dive deeper into expert insights and best practices for CRM automation. According to a study by Gartner, CRM automation can lead to a 15% increase in sales productivity and a 10% reduction in sales costs. To achieve these benefits, businesses must implement effective CRM automation strategies.
Key Principles of CRM Automation
The following principles are essential for successful CRM automation:
- Define clear goals and objectives
- Choose the right tools and software
- Develop a comprehensive data management plan
- Implement automated workflows and processes
- Continuously monitor and evaluate performance
By following these principles, businesses can create a robust CRM automation framework that drives revenue growth, improves customer satisfaction, and enhances overall efficiency.
Best Practices for CRM Automation
Best practices for CRM automation include:
- Automate routine tasks and processes to free up staff for more complex activities
- Use data analytics to gain insights into customer behavior and preferences
- Implement personalization strategies to deliver tailored experiences
- Monitor and respond to customer feedback in a timely and effective manner
- Continuously evaluate and refine CRM automation strategies to ensure optimal performance
By adopting these best practices, businesses can maximize the benefits of CRM automation and achieve their sales and marketing goals.
Expert Insights on CRM Automation
Experts in the field of CRM automation agree that AI-powered automation is revolutionizing the way businesses manage customer relationships. According to a report by Forrester, AI-powered automation can help businesses improve customer satisfaction by up to 20% and reduce sales costs by up to 15%.
To illustrate the benefits of CRM automation, let’s consider the example of Salesforce, a leading provider of CRM software. Salesforce offers a range of automation tools, including predictive analytics, hyper-personalization, and intelligent automation. By using these tools, businesses can drive revenue growth, improve customer satisfaction, and stay ahead of the competition.
Comparison of CRM Automation Tools
The following table compares the key features, pricing, and ratings of popular CRM automation tools:
Tool | Key Features | Pricing | Rating |
---|---|---|---|
Salesforce | Predictive analytics, hyper-personalization, intelligent automation | $75/user/month | 4.5/5 |
HubSpot | Machine learning, predictive analytics, customer segmentation | $50/user/month | 4.2/5 |
Pipedrive | Sales pipeline management, automation, reporting | $15/user/month | 4.0/5 |
By considering these factors and choosing the right CRM automation tool, businesses can drive revenue growth, improve customer satisfaction, and achieve their sales and marketing goals.
Actionable Insights and Implementation Strategies
Now that we have discussed the various tools and software available for CRM automation, as well as expert insights and best practices, let’s dive into actionable insights and implementation strategies. Building on the tools discussed earlier, such as Salesforce, HubSpot, and Pipedrive, we can explore how to effectively implement CRM automation in our businesses. According to a study by Gartner, CRM automation can lead to a 15% increase in sales productivity and a 10% reduction in sales costs. To achieve these benefits, businesses must implement effective CRM automation strategies.
Implementation Strategies for CRM Automation
To implement CRM automation effectively, businesses should follow a step-by-step approach. This includes defining clear goals and objectives, choosing the right tools and software, developing a comprehensive data management plan, implementing automated workflows and processes, and continuously monitoring and evaluating performance. By following these steps, businesses can create a robust CRM automation framework that drives revenue growth, improves customer satisfaction, and enhances overall efficiency.
For example, Salesforce offers a range of automation tools, including predictive analytics, hyper-personalization, and intelligent automation. By using these tools, businesses can drive revenue growth, improve customer satisfaction, and stay ahead of the competition. Another example is HubSpot, which provides machine learning, predictive analytics, and customer segmentation capabilities. By leveraging these features, businesses can gain a deeper understanding of their customers and deliver tailored experiences that meet their needs.
Best Practices for Implementing CRM Automation
When implementing CRM automation, there are several best practices to keep in mind. These include:
- Automating routine tasks and processes to free up staff for more complex activities
- Using data analytics to gain insights into customer behavior and preferences
- Implementing personalization strategies to deliver tailored experiences
- Monitoring and responding to customer feedback in a timely and effective manner
- Continuously evaluating and refining CRM automation strategies to ensure optimal performance
By following these best practices, businesses can maximize the benefits of CRM automation and achieve their sales and marketing goals.
Case Studies of Successful CRM Automation Implementations
There are many examples of businesses that have successfully implemented CRM automation. For instance, Amazon uses CRM automation to personalize customer experiences and improve customer satisfaction. Another example is Microsoft, which uses CRM automation to streamline sales and marketing processes and improve revenue growth.
To illustrate the benefits of CRM automation, let’s consider the example of Salesforce. Salesforce offers a range of automation tools, including predictive analytics, hyper-personalization, and intelligent automation. By using these tools, businesses can drive revenue growth, improve customer satisfaction, and stay ahead of the competition. In fact, according to a study by Forrester, businesses that use CRM automation can see a 20% increase in customer satisfaction and a 15% reduction in sales costs.
Comparison of CRM Automation Tools
The following table compares the key features, pricing, and ratings of popular CRM automation tools:
Tool | Key Features | Pricing | Rating |
---|---|---|---|
Salesforce | Predictive analytics, hyper-personalization, intelligent automation | $75/user/month | 4.5/5 |
HubSpot | Machine learning, predictive analytics, customer segmentation | $50/user/month | 4.2/5 |
Pipedrive | Sales pipeline management, automation, reporting | $15/user/month | 4.0/5 |
By considering these factors and choosing the right CRM automation tool, businesses can drive revenue growth, improve customer satisfaction, and achieve their sales and marketing goals.
Future Trends in CRM Automation
As CRM automation continues to evolve, we can expect to see new trends and innovations emerge. One of the key trends is the use of AI-powered automation, which enables businesses to automate complex processes and deliver personalized experiences to customers. Another trend is the use of machine learning, which enables businesses to gain insights into customer behavior and preferences and make data-driven decisions.
According to a study by Gartner, the use of AI-powered automation in CRM is expected to increase by 20% in the next two years. This is driven by the need for businesses to deliver personalized experiences to customers and to automate complex processes. By leveraging AI-powered automation and machine learning, businesses can drive revenue growth, improve customer satisfaction, and stay ahead of the competition.
Conclusion
In conclusion, CRM automation is a pivotal component of modern customer relationship management, driven by advancements in AI, automation, and data analytics. By following the implementation strategies and best practices outlined above, businesses can create a robust CRM automation framework that drives revenue growth, improves customer satisfaction, and enhances overall efficiency. Whether you’re using Salesforce, HubSpotConclusion
As we conclude our journey through the ultimate guide to CRM automation, it’s clear that revolutionizing customer relationships is within reach. We’ve explored the latest trends and insights, including AI-powered CRM trends, statistics, and market trends, as well as real-world implementations and expert insights. The key takeaways are clear: CRM automation is a pivotal component of modern customer relationship management, driven by advancements in AI, automation, and data analytics.
Putting Insights into Action
To recap, we’ve covered the benefits of CRM automation, including predictive analytics, hyper-personalization, and intelligent automation. We’ve also looked at case studies and real-world implementations, tools and software, and expert insights. Now, it’s time to put these insights into action. Whether you’re looking to improve customer satisfaction, increase revenue, or enhance overall business efficiency, CRM automation is the way forward.
So, what’s next? We recommend starting by assessing your current CRM systems and identifying areas for improvement. From there, you can begin to explore the many tools and software available for CRM automation. For more information on how to get started, visit our page at www.superagi.work to learn more about the latest trends and best practices in CRM automation.
As you move forward with implementing CRM automation, keep in mind the following actionable next steps:
- Start small and scale up your automation efforts as needed
- Continuously monitor and evaluate the effectiveness of your CRM automation strategies
- Stay up-to-date with the latest advancements in AI, automation, and data analytics
By following these steps and staying informed, you’ll be well on your way to revolutionizing your customer relationships and driving business success. So, don’t wait – take the first step today and start reaping the rewards of CRM automation.