The Ultimate Sales Hack: Mindtickle’s Call AI Turbocharges Your Team’s Productivity

Meeting revenue targets isn’t just a goal—it’s a priority that comes “BAE” (Before Anything Else).

At Mindtickle, our mission revolves around assisting our customers in overcoming obstacles that obstruct the productivity of their sales teams.

Central to this mission is our product offering: Call AI, a conversation intelligence tool enablement and sales teams leverage to access customer conversations in one central repository while enabling them to analyze seller interactions and track deal progression effortlessly.

As we launch new features, we build solutions that address daily challenges that enablement teams and sales managers experience to enhance enablement and sales team experiences and improve overall productivity.

Let’s look at how Mindtickle’s latest set of features are simplifying the lives of enablement and sales teams.

Evaluating Call AI adoption

Enablement admins use several tools and platforms daily. While managing these tools and platforms is a top priority, understanding how they are used regularly and their adoption is critical to ensuring maximum utilization.

The challenge is that several existing solutions in the market do not provide these insights, leaving admins unable to gauge the effectiveness of their tool adoption strategies.

Our latest release addresses these challenges for our Call AI admins by providing frequent and timely insights into adoption trends. Whether analyzing calls reviewed by sales managers, feedback shared with sellers, or sharing calls internally or externally by sellers. We provide a holistic view of adoption metrics. These insights empower enablement admins to assess user behaviors and refine their Call AI adoption strategies.

Real-time access to Call AI data on the new data platform

Enablement admins need access to raw data beyond the standard reports available in Call AI analytics. However, there is no way to extract this data in real time we are addressing this challenge by providing real-time access to this data via Snowflake (NDP). Another challenge we saw while working with our customers was the inability to continuously develop dedicated integrations with each dialer in the market today.

In our upcoming release, we address this challenge by introducing a seamless SFTP-based integration solution that bridges the gap between Call AI and dialer systems.

Customers can now integrate Call AI with any dialer in the market, improving customer engagement, agent performance, and overall business outcomes. The solution ensures:

• A seamless integration with dialers via a secure SFTP-based mechanism.
• The highest level of data security, compliance, and encryption.
• Insights and analytics derived from conversations.
• Compatibility with a wide array of dialer systems facilitated through a secure SFTP mechanism.
• User-friendly interface for easy adoption and utilization.

Empowering sales managers to select other stakeholders to coach sellers

Sales managers managing big teams are often inundated with so many other responsibilities that providing personalized coaching to sellers on calls is hard. Additionally, not having the ability to assign an expert or external training prevents sellers from being coached for specific calls could delay the effectiveness of sellers in the field.

In this release, we are addressing this challenge by enabling sales managers to assign a coach to reps whether it be:

• Their reporting manager
• An assigned mentor or peer to coach the seller
• An external trainer or a group of trainers (coaching is outsourced) who can coach a rep on calls

This makes sales managers more efficient and ensures sellers receive the right guidance without unnecessary roadblocks.

Giving time back to sellers

Sales managers can find reviewing each seller call tedious. With a conversation intelligence tool, sellers can have all the sales calls in a centralized location. Mindtickle’s Call AI provides a Copilot interface to ask important questions and get appropriate insights.

However, this is not scalable if a sales manager has to listen to many calls.