AI customer service pre-sales application scenarios: How to improve the pre-sales conversion rate?

Author of this article：Miya, Search engine optimization expert

The pre-sales link is an important stage in the customer journey, which determines whether the company can convert potential customers into actual customers.

However, companies often face challenges such as delayed response, inaccurate customer guidance, and low sales efficiency in the pre-sales phase. The emergence of AI customer service has provided new ideas for enterprises to optimize the pre-sales process. From active touch to reachData analysis, AI customer service not only improves efficiency, but also makes the customer experience more personalized.

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How does AI customer service enable the pre-sales process?

1. Core goals and challenges in the pre-sales phase

In the pre-sales stage, the goal of the company isAcquire customer interest, build initial trust, and drive further conversions。

However, this process often faces the following challenges：

• Response delay: Customer inquiries cannot be answered in time, resulting in loss of customers.
• Lack of precise guidance: Unable to provide personalized recommendations based on customer needs.
• Information fragmentation: It is difficult to uniformly manage and analyze customer interactions in different channels.

2. The value of AI customer service in the pre-sales process

AI customer service greatly improves the pre-sales conversion rate through real-time response and intelligent guidance：

• Real-time response: Online 7*24 hours a day to meet customer needs at any time.
• Precise recommendation: Combined with customer portrait analysis, provide personalized product or service recommendations.
• Efficient guidance: UseAutomation function, Guide customers to complete the next steps, such as making an appointment, registering or placing an order.

AI customer service pre-sales usage scenarios

1. Proactively reach potential customers

AI customer service with the help ofProactive marketing function, To cover the target customer group through mass messaging. For example, companies can use Mixdesk to send personalized discount information to specific groups of people, accurately reach potential customers and stimulate interest, thus laying the foundation for further interaction.

2. Quickly respond to customer inquiries

AI customer service is online 24/7, no matter when the customer initiates a consultation, it can provide instant answers. This real-time response not only improves the user experience, but also significantly reduces the customer churn rate caused by excessive waiting time.

3. Data-driven customer portrait analysis

Through AI analysis of customer browsing behavior, click records and other data, companies can quickly generate demand portraits. For example, AI can identify the types of products that customers are concerned about and provide more targeted services based on the analysis results.，Increase customer conversionThe possibility.

4. Automated recommendationWith guidance

AI customer service can dynamically recommend products or services based on customer needs and behaviors. For example, when a customer browses a certain product, AI can instantly recommend related supporting products or promotions, and guide the customer to complete the purchase or other further actions.

AI customer serviceKey strategies to increase conversion rates before sales

1. Intelligent intent recognition

AI customer service uses natural language processing technology to accurately identify the real needs of customers, thereby reducing communication barriers. For example, when a customer asks “Is there a version suitable for home use?" "At that time, AI can quickly understand the needs and recommend related products.

2. Efficient customer allocation and follow-up

AI customer service can automatically assign customer requests to the most suitable service personnel to ensure rapid response and efficient follow-up. This intelligent distribution function not only saves time, but also improves the customer experience.

3. Optimize the conversion process with real-time data

By monitoring customer behavior and dialogue data in real time, companies can dynamically adjust their sales strategies. For example, when a customer repeatedly follows a product but does not place an order, AI can trigger a personalized offer push to facilitate the final conversion.

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Mixdesk helps companies achieve conversion improvement in the pre-sales process

Mixdesk AI AgentIt has demonstrated strong intelligence and flexibility in the pre-sales process. passProactive marketing function, Mixdesk can accurately reach the target customer group, such as sending personalized messages based on customer interest tags to stimulate the willingness to buy. In addition, with the help of 7*24-hour real-time responsiveness and intelligent intent recognition technology, Mixdesk can quickly understand customer needs and provide accurate solutions. This kind of instant and efficient service not only improves the customer experience, but also significantly reduces the customer churn rate caused by response delays.

At the same time, Mixdesk passedIntegrate multi-channel data, Generate accurate customer portraits in real time to provide support for companies to optimize their marketing strategies. Companies can dynamically recommend products and push personalized offers based on customer behavior to promote the rapid conversion of potential customers. Mixdesk also supports message aggregation and unified management of multiple platformsWhatsApp、Facebook, Instagram and other channels of customer interaction, to help companies efficiently handle pre-sales inquiries, to create a seamless customer service experience. Through these functions, Mixdesk provides strong support for enterprises to achieve conversion rate improvement in the pre-sales process.