The world of sales is on the cusp of a revolution, and it’s being driven by a powerful combination of artificial intelligence, machine learning, and natural language processing. As we look to the future, it’s clear that conversation intelligence platforms will play a starring role in shaping the sales strategies of tomorrow. In fact, the global conversation intelligence platform market is projected to experience rapid growth, with estimates suggesting it will reach $26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. This staggering growth is a testament to the fact that businesses are recognizing the importance of enhancing customer engagement, streamlining operations, and gaining actionable insights from customer interactions.
So, what’s driving this trend? The answer lies in the ability of conversation intelligence platforms to leverage advanced technologies to analyze voice and textual-based conversations. This enables sales teams, customer support centers, and enterprises to gain deeper visibility into customer sentiment, sales performance, and engagement trends. Companies like Gong.io and Chorus.ai have already seen significant success with conversation intelligence, with one case study showing a 25% increase in sales productivity after implementing a conversation intelligence platform.
The Importance of Staying Ahead of the Curve
In today’s fast-paced business landscape, it’s more important than ever to stay ahead of the curve. Conversation intelligence platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences. By integrating AI and ML algorithms, these platforms have proven to be a game-changer for enhancing productivity and optimizing sales and support functions. As the market continues to evolve, it’s crucial to understand the top trends and insights that will shape the future of sales.
In this blog post, we’ll delve into the top 5 trends in conversation intelligence platforms that will revolutionize your sales strategy by 2025. We’ll explore the key technologies and applications driving this trend, and examine the real-world implementations and case studies that are already achieving remarkable results. Whether you’re a sales leader, a customer support specialist, or an enterprise looking to enhance your customer engagement, this guide will provide you with the insights and expertise you need to stay ahead of the curve.
So, what can you expect to learn from this comprehensive guide? We’ll cover the latest research and statistics, industry insights, and current trends that are shaping the conversation intelligence platform market. We’ll also examine the tools and software that are leading the charge, and provide expert insights into the future of sales and customer engagement. By the end of this post, you’ll have a clear understanding of the top trends and insights that will drive the future of sales, and be equipped with the knowledge you need to revolutionize your sales strategy by 2025.
Introduction to Conversation Intelligence
The conversation intelligence platform market is experiencing rapid growth, driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. The global conversation intelligence platform market was valued at USD 6.3 billion in 2023 and is projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. Another report indicates that the market size was USD 1.25 billion in 2024 and is expected to touch USD 12.02 billion by 2033. The broader conversation intelligence software market is estimated to be worth USD 25,318.8 million in 2025 and is anticipated to reach USD 55,682.1 million by 2035, with a CAGR of 8.2%.
These platforms leverage advanced AI, machine learning, and natural language processing to analyze voice and textual-based conversations. They are widely adopted by sales teams, customer support centers, and enterprises for coaching, compliance monitoring, and revenue forecasting. For instance, companies use these platforms to automatically transcribe, summarize, and analyze conversations, gaining deeper visibility into customer sentiment, sales performance, and engagement trends.
Key Benefits of Conversation Intelligence
Conversation intelligence platforms offer numerous benefits to businesses, including improved sales performance, enhanced customer experience, and better customer relationships. Some of the key benefits of conversation intelligence include:
- Automated transcription and analysis of conversations
- Real-time insights into customer sentiment and behavior
- Personalized coaching and training for sales teams
- Compliance monitoring and risk management
- Data-led decision making and revenue forecasting
Companies like Gong.io and Chorus.ai have seen significant success with conversation intelligence. For example, Gong.io helps sales teams by analyzing sales calls to provide insights on customer interactions, leading to improved sales performance and better customer relationships. A case study by Chorus.ai showed that one of their clients, a leading software company, achieved a 25% increase in sales productivity after implementing their conversation intelligence platform.
Tools like Gong.io, Chorus.ai, and Conversica offer features such as call transcription, sentiment analysis, and sales performance tracking. Pricing for these tools can vary, but for example, Gong.io’s pricing starts at around $100 per user per month, depending on the features and the number of users.
Expert Insights
“Conversation Intelligence Platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences,” states an expert from Future Market Insights. “The integration of AI and ML algorithms in these platforms has proven to be a game-changer for enhancing productivity and optimizing sales and support functions.”
The market is driven by the growing need for data-led decision making, propelled by advancements in AI and automation technologies. Cloud-based deployments are particularly popular due to their scalability, cost-effectiveness, and flexibility. The global conversational AI market, which includes conversation intelligence, is expected to grow from $12.24 billion in 2024 to $61.69 billion by 2032, indicating a broader trend of increased adoption of AI in customer interaction technologies.
| Market Size | Growth Rate | Forecast |
|---|---|---|
| USD 6.3 billion (2023) | 15.3% CAGR (2025-2033) | USD 26.5 billion (2033) |
| USD 1.25 billion (2024) | 8.2% CAGR (2025-2035) | USD 12.02 billion (2033) |
Overall, conversation intelligence platforms are revolutionizing the way businesses interact with customers, analyze sales performance, and make data-led decisions. With the market expected to continue growing rapidly, it’s essential for businesses to stay ahead of the curve and leverage the power of conversation intelligence to drive growth and success.
Key Technologies and Features
The conversation intelligence platform market is experiencing rapid growth, driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. The global conversation intelligence platform market was valued at USD 6.3 billion in 2023 and is projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. Another report indicates that the market size was USD 1.25 billion in 2024 and is expected to touch USD 12.02 billion by 2033.
Key technologies and features are crucial in driving the growth of the conversation intelligence platform market. These platforms leverage advanced AI, machine learning (ML), and natural language processing (NLP) to analyze voice and textual-based conversations. They are widely adopted by sales teams, customer support centers, and enterprises for coaching, compliance monitoring, and revenue forecasting. For instance, companies use these platforms to automatically transcribe, summarize, and analyze conversations, gaining deeper visibility into customer sentiment, sales performance, and engagement trends.
Technologies used in Conversation Intelligence Platforms
Some of the key technologies used in conversation intelligence platforms include:
- Artificial Intelligence (AI)
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Speech Recognition
- Text Analytics
These technologies enable conversation intelligence platforms to provide features such as call transcription, sentiment analysis, and sales performance tracking. For example, Gong.io and Chorus.ai are two popular conversation intelligence platforms that offer these features. Gong.io’s pricing starts at around $100 per user per month, depending on the features and the number of users.
Applications of Conversation Intelligence Platforms
Conversation intelligence platforms have a wide range of applications, including:
- Sales coaching and training
- Customer support and service
- Compliance monitoring and risk management
- Revenue forecasting and pipeline management
- Customer experience and sentiment analysis
Companies like Gong.io and Chorus.ai have seen significant success with conversation intelligence. For example, Gong.io helps sales teams by analyzing sales calls to provide insights on customer interactions, leading to improved sales performance and better customer relationships. A case study by Chorus.ai showed that one of their clients, a leading software company, achieved a 25% increase in sales productivity after implementing their conversation intelligence platform.
| Company | Features | Pricing |
|---|---|---|
| Gong.io | Call transcription, sentiment analysis, sales performance tracking | $100 per user per month |
| Chorus.ai | Call transcription, sentiment analysis, sales performance tracking | Custom pricing |
Expert insights suggest that conversation intelligence platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences. The integration of AI and ML algorithms in these platforms has proven to be a game-changer for enhancing productivity and optimizing sales and support functions. According to an expert from Future Market Insights, conversation intelligence platforms are expected to play a crucial role in shaping the future of customer interactions.
Applications and Use Cases
The applications and use cases of conversation intelligence platforms are vast and varied, with the potential to revolutionize the way businesses interact with their customers. As the market continues to grow, with the global conversation intelligence platform market valued at USD 6.3 billion in 2023 and projected to reach USD 26.5 billion by 2033, it’s essential to understand the different ways these platforms can be utilized.
Coaching and Training
One of the primary use cases for conversation intelligence platforms is coaching and training sales teams. By analyzing sales calls and conversations, these platforms can provide valuable insights into customer interactions, helping sales teams to improve their performance and build stronger relationships with their customers. For example, Gong.io helps sales teams by analyzing sales calls to provide insights on customer interactions, leading to improved sales performance and better customer relationships.
Another example is Chorus.ai, which has seen significant success with conversation intelligence. A case study by Chorus.ai showed that one of their clients, a leading software company, achieved a 25% increase in sales productivity after implementing their conversation intelligence platform. This demonstrates the potential of these platforms to drive real business results and improve sales performance.
Compliance Monitoring
Conversation intelligence platforms can also be used for compliance monitoring, helping businesses to ensure that their sales teams are adhering to regulatory requirements and company policies. By analyzing conversations and identifying potential compliance issues, these platforms can help businesses to mitigate risk and avoid costly fines and penalties.
For instance, Conversica offers features such as call transcription and sentiment analysis, which can be used to monitor compliance and ensure that sales teams are following company policies and procedures. This can help businesses to reduce the risk of non-compliance and maintain a positive reputation with their customers.
The following are some of the key applications and use cases of conversation intelligence platforms:
- Coaching and training sales teams
- Compliance monitoring
- Revenue forecasting
- Customer sentiment analysis
- Sales performance tracking
These platforms use advanced AI, machine learning, and natural language processing to analyze voice and textual-based conversations, providing businesses with valuable insights into customer interactions and helping them to improve their sales performance and customer relationships.
Real-World Implementations
Companies like Gong.io and Chorus.ai have seen significant success with conversation intelligence. These platforms have been used by sales teams, customer support centers, and enterprises to analyze conversations and provide insights on customer interactions, leading to improved sales performance and better customer relationships.
According to a report by Future Market Insights, the global conversation intelligence software market is estimated to be worth USD 25,318.8 million in 2025 and is anticipated to reach USD 55,682.1 million by 2035, with a CAGR of 8.2%. This demonstrates the growing demand for conversation intelligence platforms and the potential for these platforms to drive business growth and improvement.
| Company | Platform | Features |
|---|---|---|
| Gong.io | Conversation Intelligence Platform | Call transcription, sentiment analysis, sales performance tracking |
| Chorus.ai | Conversation Intelligence Platform | Call transcription, sentiment analysis, sales performance tracking |
| Conversica | Conversation Intelligence Platform | Call transcription, sentiment analysis, sales performance tracking |
In conclusion, conversation intelligence platforms have a wide range of applications and use cases, from coaching and training sales teams to compliance monitoring and revenue forecasting. By analyzing conversations and providing valuable insights, these platforms can help businesses to improve their sales performance, build stronger relationships with their customers, and drive business growth and improvement.
Case Studies and Success Stories
Conversation intelligence platforms have been widely adopted by various companies to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. The global conversation intelligence platform market was valued at USD 6.3 billion in 2023 and is projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. This rapid growth is driven by the increasing need for businesses to deliver personalized and efficient customer experiences.
Companies like Gong.io and Chorus.ai have seen significant success with conversation intelligence. For example, Gong.io helps sales teams by analyzing sales calls to provide insights on customer interactions, leading to improved sales performance and better customer relationships. A case study by Chorus.ai showed that one of their clients, a leading software company, achieved a 25% increase in sales productivity after implementing their conversation intelligence platform. This demonstrates the potential of conversation intelligence platforms to drive business growth and improve customer relationships.
Real-World Implementations
Several companies have successfully implemented conversation intelligence platforms to achieve their business goals. For instance, Conversica has helped companies like IBM and Microsoft to automate their sales and customer support processes. Gong.io has also worked with companies like LinkedIn and HubSpot to provide insights on customer interactions and improve sales performance.
Some of the key benefits of implementing conversation intelligence platforms include:
- Improved sales performance: Conversation intelligence platforms provide insights on customer interactions, helping sales teams to identify areas for improvement and optimize their sales strategies.
- Enhanced customer relationships: By analyzing customer interactions, companies can gain a deeper understanding of customer needs and preferences, leading to more personalized and effective customer relationships.
- Increased efficiency: Conversation intelligence platforms can automate routine tasks, freeing up staff to focus on higher-value activities and improving overall efficiency.
The following table provides some examples of companies that have successfully implemented conversation intelligence platforms:
| Company | Conversation Intelligence Platform | Benefits |
|---|---|---|
| IBM | Conversica | Automated sales and customer support processes |
| Gong.io | Improved sales performance and customer relationships | |
| Microsoft | Conversica | Enhanced customer engagement and support |
According to a report by Future Market Insights, the global conversational AI market, which includes conversation intelligence, is expected to grow from $12.24 billion in 2024 to $61.69 billion by 2032. This indicates a broader trend of increased adoption of AI in customer interaction technologies. As the market continues to grow, we can expect to see more companies adopting conversation intelligence platforms to drive business growth and improve customer relationships.
In conclusion, conversation intelligence platforms have the potential to drive significant business growth and improve customer relationships. By analyzing customer interactions and providing insights on sales performance, these platforms can help companies to optimize their sales strategies and deliver more personalized and effective customer experiences. As the market continues to grow, we can expect to see more companies adopting conversation intelligence platforms to stay ahead of the competition.
Market Trends and Growth Drivers
The conversation intelligence platform market is experiencing rapid growth, driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. The global conversation intelligence platform market was valued at USD 6.3 billion in 2023 and is projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. Another report indicates that the market size was USD 1.25 billion in 2024 and is expected to touch USD 12.02 billion by 2033.
Building on the tools discussed earlier, such as Gong.io and Chorus.ai, it’s clear that these platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences. The integration of AI and ML algorithms in these platforms has proven to be a game-changer for enhancing productivity and optimizing sales and support functions. For instance, companies like Salesforce and Microsoft are leveraging conversation intelligence to improve their customer engagement and sales performance.
Key Market Trends
The market is driven by the growing need for data-led decision making, propelled by advancements in AI and automation technologies. Cloud-based deployments are particularly popular due to their scalability, cost-effectiveness, and flexibility. The global conversational AI market, which includes conversation intelligence, is expected to grow from $12.24 billion in 2024 to $61.69 billion by 2032, indicating a broader trend of increased adoption of AI in customer interaction technologies.
Key drivers of the conversation intelligence platform market include the increasing demand for personalized customer experiences, the need for improved sales performance, and the growing adoption of cloud-based technologies. According to a report by MarketsandMarkets, the market is expected to be driven by the growing need for real-time customer insights and the increasing use of AI and ML in customer interaction technologies.
The following are some of the key trends shaping the conversation intelligence platform market:
- Increasing adoption of cloud-based conversation intelligence platforms
- Growing demand for real-time customer insights and analytics
- Expanding use of AI and ML in customer interaction technologies
- Growing need for personalized customer experiences
- Increasing importance of data security and compliance in conversation intelligence platforms
To give you a better idea of the market trends, here is a table comparing the growth of the conversation intelligence platform market and the conversational AI market:
| Market | 2023 Market Size | 2025-2033 CAGR | 2033 Market Size |
|---|---|---|---|
| Conversation Intelligence Platform Market | USD 6.3 billion | 15.3% | USD 26.5 billion |
| Conversational AI Market | USD 12.24 billion | N/A | USD 61.69 billion |
In conclusion, the conversation intelligence platform market is experiencing rapid growth, driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. As the market continues to evolve, we can expect to see increased adoption of cloud-based conversation intelligence platforms, growing demand for real-time customer insights and analytics, and expanding use of AI and ML in customer interaction technologies.
Tools and Software Comparison
The conversation intelligence platform market is experiencing rapid growth, driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions. According to a report, the global conversation intelligence platform market was valued at USD 6.3 billion in 2023 and is projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033. To help businesses navigate this growing market, we have compiled a comparison of some of the top conversation intelligence tools and software.
| Tool | Key Features | Pricing | Best For | Rating |
|---|---|---|---|---|
| Gong.io | Call transcription, sentiment analysis, sales performance tracking | $100 per user per month | Sales teams | 4.5/5 |
| Chorus.ai | Call transcription, sentiment analysis, sales performance tracking | Custom pricing | Large sales teams | 4.2/5 |
| Conversica | AI-powered conversation analysis, lead qualification, sales engagement | Custom pricing | Enterprise sales teams | 4.0/5 |
As shown in the table, each tool has its own unique features and pricing. Gong.io is a popular choice among sales teams, with its call transcription and sentiment analysis features. Chorus.ai is another well-known tool, with its custom pricing and advanced sales performance tracking features. Conversica is a more recent entrant in the market, with its AI-powered conversation analysis and lead qualification features.
1. Gong.io
Gong.io is a conversation intelligence platform that helps sales teams analyze customer interactions and improve sales performance. It provides features such as call transcription, sentiment analysis, and sales performance tracking. Gong.io’s pricing starts at around $100 per user per month, depending on the features and the number of users.
Key Features:
- Call transcription
- Sentiment analysis
- Sales performance tracking
- Customizable dashboards
Pros:
- Easy to use and implement
- Accurate call transcription and sentiment analysis
- Customizable dashboards for sales performance tracking
Cons:
- Limited advanced features compared to other tools
- Pricing can be steep for small teams
- Customer support can be slow to respond
Best For:
Gong.io is best for sales teams that want to improve sales performance and customer engagement. It is suitable for small to medium-sized sales teams, and its customizable dashboards make it easy to track sales performance and analyze customer interactions.
Pricing:
Gong.io’s pricing starts at around $100 per user per month, depending on the features and the number of users. It offers a free trial, and custom pricing is available for large teams.
2. Chorus.ai
Chorus.ai is a conversation intelligence platform that provides features such as call transcription, sentiment analysis, and sales performance tracking. Its custom pricing makes it suitable for large sales teams, and its advanced features make it a popular choice among enterprise sales teams.
Key Features:
- Call transcription
- Sentiment analysis
- Sales performance tracking
- Customizable dashboards
- Advanced AI-powered conversation analysis
Pros:
- Advanced AI-powered conversation analysis
- Customizable dashboards for sales performance tracking
- Easy to use and implement
Cons:
- Custom pricing can be steep for small teams
- Limited free trial
- Customer support can be slow to respond
Best For:
Chorus.ai is best for large sales teams that want to improve sales performance and customer engagement. Its custom pricing and advanced features make it suitable for enterprise sales teams, and its AI-powered conversation analysis makes it a popular choice among sales teams that want to gain actionable insights from customer interactions.
Pricing:
Chorus.ai’s pricing is custom, and it offers a free trial. Its pricing is based on the number of users and the features required, making it suitable for large sales teams.
For more information on conversation intelligence platforms, you can
Future Outlook and Predictions
The future of sales is rapidly evolving, and conversation intelligence platforms are at the forefront of this transformation. With the global conversation intelligence platform market projected to reach USD 26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033, it is essential to stay ahead of the curve. The broader conversation intelligence software market is estimated to be worth USD 25,318.8 million in 2025 and is anticipated to reach USD 55,682.1 million by 2035, with a CAGR of 8.2%. This growth is driven by the increasing need for businesses to enhance customer engagement, streamline operations, and gain actionable insights from customer interactions.
Companies like Gong.io and Chorus.ai have seen significant success with conversation intelligence. For example, Gong.io helps sales teams by analyzing sales calls to provide insights on customer interactions, leading to improved sales performance and better customer relationships. A case study by Chorus.ai showed that one of their clients, a leading software company, achieved a 25% increase in sales productivity after implementing their conversation intelligence platform. This is a testament to the power of conversation intelligence in driving business growth.
Key Trends and Predictions
The market is driven by the growing need for data-led decision making, propelled by advancements in AI and automation technologies. Cloud-based deployments are particularly popular due to their scalability, cost-effectiveness, and flexibility. The global conversational AI market, which includes conversation intelligence, is expected to grow from $12.24 billion in 2024 to $61.69 billion by 2032, indicating a broader trend of increased adoption of AI in customer interaction technologies.
According to experts from Future Market Insights, “Conversation Intelligence Platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences.” The integration of AI and ML algorithms in these platforms has proven to be a game-changer for enhancing productivity and optimizing sales and support functions. As the market continues to evolve, we can expect to see more advanced features and capabilities being introduced.
Some of the key trends and predictions for the future of conversation intelligence include:
- Increased adoption of AI and ML in customer interaction technologies
- Growing demand for cloud-based deployments due to their scalability and cost-effectiveness
- More emphasis on data-led decision making and actionable insights
- Expansion of conversation intelligence beyond sales and customer support to other areas of the business
Tools like Gong.io, Chorus.ai, and Conversica offer features such as call transcription, sentiment analysis, and sales performance tracking. Pricing for these tools can vary, but for example, Gong.io’s pricing starts at around $100 per user per month, depending on the features and the number of users. As the market continues to grow and evolve, we can expect to see more innovative solutions and pricing models being introduced.
Implementation and Best Practices
When implementing conversation intelligence, it is essential to follow best practices to ensure success. This includes:
- Defining clear goals and objectives for the implementation
- Choosing the right tools and features for your business needs
- Providing adequate training and support for users
- Continuously monitoring and evaluating the effectiveness of the implementation
By following these best practices and staying up-to-date with the latest trends and predictions, businesses can unlock the full potential of conversation intelligence and drive growth and success in the future.
For more information on conversation intelligence and its applications, visit Gong.io or Chorus.ai. These resources provide valuable insights and case studies on the use of conversation intelligence in real-world scenarios.
| Company | Features | Pricing |
|---|---|---|
| Gong.io | Call transcription, sentiment analysis, sales performance tracking | $100 per user per month |
| Chorus.ai | Call transcription, sentiment analysis, sales performance tracking | Custom pricing for enterprises |
In conclusion, the future of sales is closely tied to the evolution of conversation intelligence. As the market continues to grow and evolve, businesses must stay ahead of the curve to remain competitive. By understanding the key trends and predictions, implementing best practices, and choosing the right tools and features, businesses can unlock the full potential of conversation intelligence and drive growth and success in the future.
Conclusion
Conclusion: Revolutionizing Your Sales Strategy with Conversation Intelligence
The future of sales is rapidly evolving, and conversation intelligence platforms are at the forefront of this transformation. As we’ve explored in this blog post, the top 5 trends in conversation intelligence platforms are set to revolutionize your sales strategy by 2025. With the global conversation intelligence platform market projected to reach $26.5 billion by 2033, growing at a CAGR of 15.3% from 2025 to 2033, it’s clear that businesses are recognizing the value of these platforms.
By leveraging advanced AI, machine learning, and natural language processing, conversation intelligence platforms are enabling sales teams to gain deeper insights into customer interactions, improve sales performance, and enhance customer relationships. As expert insights suggest, conversation intelligence platforms are becoming essential for businesses aiming to deliver personalized and efficient customer experiences. The integration of AI and ML algorithms in these platforms has proven to be a game-changer for enhancing productivity and optimizing sales and support functions.
The benefits of conversation intelligence platforms are numerous, including improved sales performance, enhanced customer relationships, and increased revenue forecasting accuracy. To get the most out of these platforms, businesses should consider the following key takeaways:
- Invest in cloud-based deployments for scalability, cost-effectiveness, and flexibility
- Utilize advanced analytics and AI-powered insights to inform sales strategies
- Focus on delivering personalized and efficient customer experiences
As you consider implementing conversation intelligence into your sales strategy, remember that the market is driven by the growing need for data-led decision making, propelled by advancements in AI and automation technologies. To learn more about conversation intelligence and how it can benefit your business, visit www.web.superagi.com. With the right tools and expertise, you can unlock the full potential of conversation intelligence and stay ahead of the competition. So, take the first step today and discover how conversation intelligence can revolutionize your sales strategy.
