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Fundamentals

Consider this ● nearly half of small businesses still rely on spreadsheets or even pen and paper to manage customer interactions. This isn’t merely inefficient; it’s a silent anchor dragging down growth potential in a competitive sea. For small to medium-sized businesses (SMBs), the promise of (CRM) automation often feels like a luxury, a tool reserved for larger corporations with sprawling budgets and dedicated IT departments. However, dismissing as irrelevant or too complex is akin to navigating a modern highway with a horse and buggy ● charming, perhaps, but decidedly outpaced and ultimately limiting.

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Understanding Core Automation Benefits

At its heart, CRM automation for SMBs isn’t about replacing human interaction with cold, robotic processes. Instead, it’s about strategically streamlining repetitive tasks, freeing up valuable time and resources for business owners and their teams to focus on what truly matters ● building stronger and driving sales. Think of it as an intelligent assistant, diligently handling the administrative background noise so you can conduct the orchestra of your business with greater precision and impact.

CRM automation isn’t about replacing human touch; it’s about amplifying it by removing administrative burdens.

One of the most immediate benefits is enhanced efficiency. Manual data entry, for instance, is a notorious time-sink and error-prone activity. Imagine your sales team returning from a successful networking event, armed with stacks of business cards. Without automation, each card becomes a mini-project ● deciphering handwriting, manually entering names, emails, phone numbers, and company details into a spreadsheet or, worse, a physical Rolodex.

CRM automation, through features like email integration and lead capture forms, can automatically ingest this data, populating your CRM system with accurate and readily accessible information. This saves hours, reduces errors, and ensures no potential lead slips through the cracks due to administrative overload.

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Simple Steps to Begin Automating

For SMBs hesitant to dive into the deep end of CRM automation, starting small and strategically is key. You wouldn’t attempt to climb Mount Everest without first conquering a few smaller hills, and the same principle applies here. Begin by identifying the most time-consuming and repetitive tasks within your sales and processes.

These are your prime candidates for initial automation efforts. Consider these foundational areas:

  1. Lead Capture ● Implement web forms on your website to automatically capture visitor information and feed it directly into your CRM. This eliminates manual data entry and ensures timely follow-up.
  2. Email Marketing ● Automate welcome emails for new leads, follow-up sequences after website form submissions, and birthday greetings for existing customers. Personalized automated emails can maintain engagement without constant manual effort.
  3. Task Management ● Set up automated task reminders for sales follow-ups, customer service inquiries, or recurring check-ins. This ensures nothing gets forgotten and maintains consistent communication.

These initial steps are not complex technical feats; they are practical applications of readily available CRM features that can yield significant time savings and improvements in customer engagement. The goal at this stage is to experience the tangible benefits of automation without being overwhelmed by sophisticated functionalities.

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Choosing the Right Entry-Level CRM

Selecting a CRM system can feel like navigating a maze of features and pricing plans. For SMBs just starting their automation journey, the key is to prioritize simplicity and scalability. Avoid CRMs that boast an overwhelming array of advanced features you won’t immediately use. Instead, focus on platforms that offer:

  • User-Friendly Interface ● An intuitive interface reduces the learning curve and encourages adoption across your team. If your CRM is difficult to use, it will likely be underutilized.
  • Essential Automation Features ● Ensure the CRM offers core automation capabilities like email automation, workflow automation, and task automation.
  • Scalability ● Choose a CRM that can grow with your business. As your needs evolve, the CRM should be able to accommodate increased data volume and more complex automation requirements.
  • Affordable Pricing ● Many CRM providers offer tiered pricing plans suitable for SMB budgets. Look for options that provide value without breaking the bank.

Free or low-cost entry-level CRMs can be excellent starting points for SMBs. These platforms often provide the fundamental automation tools needed to streamline basic processes and demonstrate the value of CRM without a significant upfront investment. As your business grows and your automation needs become more sophisticated, you can then consider upgrading to more feature-rich platforms.

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Data ● The Fuel for Automation

Automation, regardless of its sophistication, is only as effective as the data it operates on. Accurate and well-organized is the fuel that powers CRM automation. Before implementing any automation workflows, take stock of your existing customer data.

Is it scattered across spreadsheets, email inboxes, or even physical files? Investing time in cleaning and consolidating your data is a crucial preliminary step.

Clean data is the foundation of effective CRM automation; garbage in, garbage out applies directly to CRM success.

Data cleaning involves identifying and correcting errors, inconsistencies, and redundancies in your customer records. This might include standardizing address formats, merging duplicate entries, and filling in missing information. While this might seem tedious, it’s an investment that pays dividends in the long run. Clean data ensures your operate accurately, your customer communications are personalized and relevant, and your business decisions are based on reliable information.

Furthermore, consider the types of data you are collecting and how you are storing it. Are you capturing essential information like customer preferences, purchase history, and communication logs? A well-structured CRM system allows you to not only store this data but also segment and analyze it to gain valuable insights into customer behavior. This data-driven approach is what transforms CRM from a simple contact management tool into a powerful engine for growth.

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Initial Metrics for Measuring Success

Implementing CRM automation isn’t a magic wand; it requires ongoing monitoring and optimization. To gauge the effectiveness of your initial automation efforts, establish key performance indicators (KPIs) that align with your business goals. For SMBs starting with basic automation, relevant metrics might include:

Table 1 ● Initial CRM Automation KPIs for SMBs

KPI Lead Response Time
Description Time taken to respond to new leads after capture.
Target Improvement Reduce by 50% within the first month.
KPI Email Open Rates
Description Percentage of automated emails opened by recipients.
Target Improvement Increase by 15% within two months.
KPI Time Spent on Data Entry
Description Hours per week spent on manual data entry tasks.
Target Improvement Decrease by 75% within the first month.
KPI Customer Service Response Time
Description Time taken to respond to customer service inquiries.
Target Improvement Reduce by 30% within two months.

These metrics provide a tangible way to track progress and identify areas for improvement. Regularly review these KPIs and adjust your automation workflows as needed. For instance, if your email open rates are lower than expected, experiment with different subject lines or email content. If lead response times are still sluggish, examine your lead routing and notification processes within the CRM.

Starting with CRM isn’t a leap into the unknown; it’s a series of calculated steps. By focusing on core benefits, beginning with simple automations, choosing the right entry-level tools, prioritizing data quality, and establishing clear metrics, SMBs can unlock the power of CRM automation to streamline operations, enhance customer relationships, and pave the way for sustainable growth. The journey begins not with grand pronouncements, but with practical actions, transforming the way SMBs connect with their customers, one automated task at a time.

Intermediate

Beyond the foundational benefits of CRM automation, lies a more strategic landscape where SMBs can leverage these tools to orchestrate sophisticated growth strategies. Consider the limitations of basic automation ● while streamlining tasks is valuable, true strategic impact emerges when automation is woven into the very fabric of your customer journey, creating personalized experiences and proactive engagement. Moving from simple task automation to strategic CRM implementation is akin to upgrading from a basic point-and-shoot camera to a professional DSLR ● both capture images, but the latter offers control, precision, and the ability to create artful compositions.

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Mapping the Customer Journey for Automation

Strategic CRM automation begins with a deep understanding of your customer journey. This isn’t merely a linear sales funnel; it’s a dynamic, multi-touchpoint experience that encompasses initial awareness, consideration, purchase, post-purchase engagement, and advocacy. Visualizing this journey, mapping out each stage and touchpoint, is crucial for identifying strategic automation opportunities.

Strategic CRM automation is about crafting personalized customer journeys, not just automating tasks in isolation.

Start by outlining the typical path a customer takes when interacting with your business. This might involve:

  • Awareness ● How do potential customers discover your business? (e.g., social media, search engines, referrals)
  • Consideration ● What information do they seek? (e.g., website content, product demos, reviews)
  • Decision ● What factors influence their purchase decision? (e.g., pricing, features, customer support)
  • Purchase ● How seamless is the buying process? (e.g., online checkout, in-store experience)
  • Post-Purchase ● How do you engage customers after the sale? (e.g., onboarding, support, feedback)
  • Loyalty/Advocacy ● How do you encourage repeat business and referrals? (e.g., loyalty programs, personalized offers)

For each stage, identify pain points, opportunities for improvement, and tasks that can be automated to enhance the customer experience. For example, in the ‘Consideration’ stage, email sequences can deliver targeted content based on a prospect’s interests and engagement level. In the ‘Post-Purchase’ stage, automated onboarding workflows can guide new customers through product setup and usage, reducing support requests and increasing customer satisfaction.

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Advanced Automation Workflows for Growth

Once the is mapped, SMBs can implement more workflows that go beyond basic task management. These workflows are designed to proactively engage customers, personalize interactions, and drive specific business outcomes. Consider these examples of intermediate-level automation strategies:

  1. Behavior-Based Email Marketing ● Trigger email sequences based on customer actions, such as website page visits, product views, or cart abandonment. This allows for highly targeted and relevant communication.
  2. Sales Process Automation ● Automate lead scoring, lead routing, and sales pipeline management. Prioritize hot leads, assign them to the right sales representatives, and track progress through each stage of the sales cycle.
  3. Customer Segmentation and Personalization ● Segment your customer database based on demographics, purchase history, behavior, or other criteria. Automate personalized email campaigns, offers, and content delivery to each segment.
  4. Automated Customer Feedback Collection ● Implement automated surveys or feedback requests after key customer interactions, such as purchases or support interactions. Gather valuable insights and identify areas for improvement.
  5. Cross-Selling and Upselling Automation ● Based on past purchases or browsing history, automate recommendations for related products or upgrades. Increase average order value and customer lifetime value.

These advanced workflows require a deeper understanding of your CRM platform’s capabilities and a more strategic approach to implementation. They move beyond simply automating individual tasks and instead focus on automating entire processes to optimize the customer journey and drive business growth.

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Integrating CRM with Other Business Systems

The true power of CRM automation is amplified when it’s integrated with other business systems. Siloed data hinders efficiency and limits the potential for holistic customer insights. Integrating your CRM with systems like marketing automation platforms, e-commerce platforms, accounting software, and tools creates a unified view of the customer and streamlines data flow across your organization.

CRM integration breaks down data silos and creates a unified customer view, empowering more effective automation.

For example, integrating your CRM with your e-commerce platform allows for real-time tracking of customer purchases, order history, and browsing behavior directly within the CRM. This data can then be used to trigger personalized email marketing campaigns, provide proactive customer support, and identify cross-selling opportunities. Similarly, integrating with accounting software can automate invoice generation, payment tracking, and financial reporting, streamlining back-office operations and providing a clearer picture of customer profitability.

Common integration methods include APIs (Application Programming Interfaces), pre-built connectors offered by CRM vendors, and third-party integration platforms. The level of technical expertise required for integration can vary depending on the systems involved and the chosen method. For SMBs without dedicated IT staff, prioritizing CRMs with readily available integrations and user-friendly integration tools is crucial.

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Data Analytics for Automation Optimization

As CRM automation becomes more sophisticated, becomes increasingly important. Simply collecting data isn’t enough; SMBs need to analyze this data to understand the performance of their automation workflows, identify areas for optimization, and uncover new opportunities for growth. CRM platforms often provide built-in reporting and analytics dashboards, offering insights into key metrics like email campaign performance, sales pipeline velocity, customer churn rates, and customer satisfaction scores.

Data analytics transforms CRM automation from a set-and-forget system into a dynamic, continuously improving growth engine.

Beyond basic reporting, SMBs can leverage more advanced analytics techniques, such as analysis, cohort analysis, and predictive analytics. Customer segmentation analysis helps identify distinct customer groups based on shared characteristics, allowing for more targeted automation strategies. Cohort analysis tracks the behavior of customer groups over time, revealing trends and patterns that might not be apparent in aggregate data. uses historical data to forecast future customer behavior, enabling proactive interventions and personalized experiences.

Investing in data analytics skills or partnering with data analytics consultants can significantly enhance the effectiveness of CRM automation. By continuously analyzing data and optimizing workflows based on insights, SMBs can ensure their CRM system is not just automating tasks, but actively driving strategic growth.

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Training and Adoption for Intermediate CRM Users

Implementing workflows requires a higher level of user proficiency and team adoption. While entry-level CRM usage might be intuitive for most users, mastering more complex features and workflows requires dedicated training and ongoing support. SMBs should invest in comprehensive training programs for their teams, covering topics such as advanced CRM features, workflow automation, data analytics, and CRM integration.

List 1 ● Key Training Areas for Intermediate CRM Users

  • Advanced CRM Features and Functionality
  • Workflow Automation Design and Implementation
  • Data Analytics and Reporting within CRM
  • CRM Integration with Other Business Systems
  • Best Practices for CRM Usage and Data Management

Training should be tailored to different user roles and responsibilities. Sales teams might focus on sales process automation and lead management workflows, while marketing teams might concentrate on email marketing automation and customer segmentation. Customer service teams would benefit from training on case management automation and customer feedback collection. Ongoing support and knowledge resources are also crucial to ensure users can effectively utilize the CRM and troubleshoot any issues that arise.

Furthermore, fostering a culture of CRM adoption is essential. This involves clearly communicating the benefits of CRM automation to the team, encouraging feedback and suggestions, and recognizing and rewarding CRM usage. When employees understand how CRM automation can make their jobs easier and more effective, they are more likely to embrace the system and contribute to its success.

Moving to intermediate-level CRM automation is a strategic evolution for SMBs. By mapping the customer journey, implementing advanced workflows, integrating with other systems, leveraging data analytics, and investing in user training, SMBs can transform their CRM from a basic tool into a powerful growth engine. This stage is about strategic orchestration, creating a symphony of automated processes that work in harmony to deliver exceptional customer experiences and drive sustainable business expansion. The focus shifts from simple efficiency gains to strategic customer engagement, marking a significant step towards leveraging CRM automation for competitive advantage.

Advanced

The apex of CRM automation for transcends mere efficiency and strategic customer journey management. It enters a realm of predictive intelligence, hyper-personalization, and adaptive automation, aligning CRM not just with current operations, but with future-oriented business strategy. Consider the difference between navigating by map and compass versus using a sophisticated GPS system with real-time traffic updates and predictive route optimization. Advanced CRM automation offers this level of foresight and adaptability, enabling SMBs to anticipate customer needs, proactively address potential issues, and dynamically adjust strategies in response to market shifts.

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Predictive Analytics and Proactive Automation

At the heart of advanced CRM automation lies predictive analytics. This isn’t simply reporting on past performance; it’s leveraging historical data, algorithms, and statistical modeling to forecast future and business trends. Predictive analytics empowers SMBs to move from reactive to proactive customer engagement, anticipating needs and intervening before issues arise.

Advanced CRM automation leverages predictive analytics to anticipate customer needs and proactively shape the customer experience.

For instance, predictive churn analysis can identify customers at high risk of attrition based on patterns in their behavior, engagement levels, and past interactions. This allows SMBs to proactively reach out to these customers with personalized offers, targeted support, or engagement initiatives to improve retention rates. Predictive lead scoring goes beyond basic demographic or firmographic data, analyzing lead behavior and engagement patterns to identify high-potential prospects with greater accuracy. This enables sales teams to focus their efforts on the most promising leads, maximizing conversion rates and sales efficiency.

Advanced CRM platforms often incorporate machine learning capabilities that continuously refine predictive models based on new data. This ensures that predictions become more accurate over time, and automation workflows become increasingly intelligent and effective. Implementing predictive analytics requires access to sufficient historical data, expertise in data science or machine learning, and CRM platforms with advanced analytical capabilities. For SMBs lacking in-house expertise, partnering with data analytics firms or consultants specializing in CRM predictive modeling can be a strategic investment.

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Hyper-Personalization at Scale

Advanced CRM automation enables hyper-personalization, moving beyond basic segmentation to deliver truly individualized customer experiences at scale. This isn’t just about addressing customers by name in emails; it’s about tailoring every interaction, every offer, and every communication to the unique preferences, needs, and context of each individual customer.

Table 2 ● Levels of Personalization in CRM Automation

Level of Personalization Basic Personalization
Description Using customer names and basic demographic data.
Example "Dear [Customer Name]," emails.
Strategic Impact Improved email open rates and initial engagement.
Level of Personalization Segmented Personalization
Description Tailoring content to customer segments based on shared characteristics.
Example Email campaigns targeted to specific industry verticals.
Strategic Impact Increased relevance and conversion rates within segments.
Level of Personalization Behavioral Personalization
Description Triggering actions based on customer behavior (e.g., website visits, purchases).
Example Abandoned cart email sequences.
Strategic Impact Timely and relevant engagement based on customer actions.
Level of Personalization Hyper-Personalization
Description Individualized experiences based on comprehensive customer profiles and predictive insights.
Example Dynamic website content tailored to individual browsing history and preferences.
Strategic Impact Enhanced customer loyalty, increased lifetime value, and competitive differentiation.

Hyper-personalization leverages rich customer data profiles, encompassing not just transactional history but also behavioral data, sentiment analysis, social media activity, and even contextual data like location and time of day. Advanced CRM platforms can dynamically generate personalized content, offers, and recommendations across multiple channels, including email, website, mobile apps, and even in-person interactions. For example, a retail SMB could use hyper-personalization to display product recommendations on its website based on a customer’s past purchases, browsing history, and real-time inventory levels. A service-based SMB could use it to tailor customer service interactions based on a customer’s past support history, preferred communication channels, and of recent interactions.

Achieving hyper-personalization requires robust data infrastructure, advanced analytics capabilities, and CRM platforms with sophisticated personalization engines. It also necessitates a deep understanding of customer privacy and ethical considerations, ensuring personalization efforts are perceived as helpful and relevant, not intrusive or creepy.

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Adaptive and Dynamic Automation Workflows

Advanced CRM automation is not static; it’s adaptive and dynamic. Workflows are not simply pre-defined sequences of actions; they are intelligent systems that can adjust and optimize themselves in real-time based on customer interactions, data insights, and changing business conditions. This level of adaptability is crucial in today’s fast-paced and dynamic business environment.

Adaptive CRM automation workflows learn and optimize themselves in real-time, ensuring continuous improvement and responsiveness.

For example, consider an automated lead nurturing workflow. In a basic scenario, this might be a fixed sequence of emails sent at pre-determined intervals. In an adaptive workflow, the system would monitor lead engagement with each email, adjust the timing and content of subsequent emails based on engagement levels, and even dynamically branch the workflow based on lead behavior.

If a lead shows high engagement with a particular type of content, the workflow might automatically deliver more of that content. If a lead becomes unresponsive, the workflow might trigger a different engagement strategy, such as a phone call from a sales representative.

Adaptive automation workflows often incorporate A/B testing and machine learning algorithms to continuously optimize their performance. The system might automatically test different email subject lines, content variations, or call-to-action buttons, and dynamically adjust the workflow to favor the most effective approaches. This iterative optimization ensures that automation workflows are not just efficient, but also continuously improving and maximizing their impact.

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AI-Powered CRM Capabilities

Artificial intelligence (AI) is increasingly integrated into advanced CRM platforms, further enhancing automation capabilities and enabling new levels of customer engagement. features can automate complex tasks, provide intelligent insights, and personalize customer interactions in ways that were previously unimaginable.

List 2 ● AI-Powered CRM Capabilities for SMBs

  • AI-Powered Chatbots ● Provide 24/7 customer support, answer frequently asked questions, and qualify leads.
  • Sentiment Analysis ● Analyze customer communications (emails, social media posts, chat logs) to gauge customer sentiment and identify potential issues.
  • AI-Driven Recommendations ● Provide intelligent product recommendations, content suggestions, and next-best-action guidance for sales and service teams.
  • Natural Language Processing (NLP) ● Enable voice-activated CRM commands, automated email summarization, and intelligent data extraction from unstructured text.
  • Anomaly Detection ● Identify unusual customer behavior patterns that might indicate fraud, churn risk, or new opportunities.

For example, AI-powered chatbots can handle a significant volume of routine customer inquiries, freeing up human agents to focus on more complex issues. Sentiment analysis can alert customer service teams to customers who are expressing negative sentiment, allowing for proactive intervention and issue resolution. AI-driven recommendations can guide sales representatives to suggest the most relevant products or services to customers based on their individual needs and preferences. These AI capabilities are not futuristic fantasies; they are becoming increasingly accessible to SMBs through advanced CRM platforms and cloud-based AI services.

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Ethical Considerations and Data Privacy in Advanced Automation

As CRM automation becomes more advanced and data-driven, ethical considerations and become paramount. Hyper-personalization, predictive analytics, and AI-powered capabilities rely on collecting and analyzing vast amounts of customer data. SMBs must ensure they are using this data responsibly, ethically, and in compliance with data privacy regulations like GDPR and CCPA.

Advanced CRM automation demands a strong ethical framework and commitment to data privacy, building customer trust and long-term relationships.

Transparency is key. Customers should be informed about what data is being collected, how it is being used, and have control over their data. Personalization efforts should be relevant and valuable, not intrusive or manipulative.

Data security is crucial to protect customer data from unauthorized access and breaches. SMBs should implement robust measures, including encryption, access controls, and regular security audits.

Building customer trust is essential for long-term success with advanced CRM automation. Customers are more likely to embrace personalization and data-driven experiences when they trust that their data is being used responsibly and ethically. SMBs should prioritize ethical data practices, transparent communication, and robust data security to build and maintain this trust.

Reaching the advanced stage of CRM automation is a transformative journey for SMBs. By embracing predictive analytics, hyper-personalization, adaptive workflows, and AI-powered capabilities, SMBs can create truly exceptional customer experiences, drive unprecedented levels of efficiency, and gain a significant competitive advantage. However, this advanced stage also demands a strong commitment to and customer privacy.

It’s about harnessing the power of technology to build deeper, more meaningful customer relationships, fostering loyalty, and driving in a responsible and ethical manner. The future of SMB growth is increasingly intertwined with intelligent, ethical, and customer-centric automation, where technology empowers human connection, not replaces it.

References

  • Kotler, Philip, and Kevin Lane Keller. Marketing Management. 15th ed., Pearson Education, 2016.
  • Levitt, Theodore. “Marketing Myopia.” Harvard Business Review, vol. 38, no. 4, 1960, pp. 45-56.
  • Porter, Michael E. Competitive Advantage ● Creating and Sustaining Superior Performance. Free Press, 1985.

Reflection

Perhaps the most controversial, yet profoundly practical, aspect of CRM automation for SMB growth is its inherent demand for organizational self-awareness. SMBs, often operating at breakneck speed, propelled by entrepreneurial zeal, can sometimes overlook the crucial introspection required for effective automation. It’s tempting to view CRM as a plug-and-play solution, a technological quick fix. However, successful implementation necessitates a brutally honest assessment of existing processes, customer interactions, and internal communication flows.

Automation, in this light, becomes a mirror reflecting both the strengths and, more importantly, the inefficiencies and fractures within the business. Are your sales processes truly customer-centric, or are they riddled with internal bottlenecks? Is your customer service reactive and firefighting, or proactive and preventative? CRM automation, when strategically deployed, doesn’t just streamline operations; it forces a confrontation with the operational truths that may have been conveniently ignored.

This self-examination, often uncomfortable, is the very catalyst for genuine, sustainable growth. The technology is merely an enabler; the real transformation begins with the courage to confront and rectify the underlying realities of your SMB’s operational DNA.

Customer Relationship Management, CRM Automation Strategy, SMB Growth Tactics

Strategically implement CRM automation by starting simple, mapping customer journeys, leveraging data, and adapting workflows for scalable SMB growth.

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