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How To Choose A Conversation Intelligence Platform

Sellers are no strangers to phone calls. Whether they like it or not, making sales calls is a key part of the job – and essential for hitting their sales targets.

Every conversation between a sales rep and a prospective buyer contains valuable insights. These insights not only help sellers better understand and address buyers’ needs, but they also give sales managers a clear picture of what’s actually happening in the field.

With the right conversation intelligence platform, sellers and sales managers alike can easily tap into these insights to improve buyer experience and sales performance.

There are several conversation intelligence platforms on the market today. While choosing the right conversation intelligence platform can seem daunting, it doesn’t have to be. In this post, we’ll explain what a conversation intelligence platform is, how it can benefit your business, and key factors to consider when choosing the platform that best suits your needs.

What is a conversation intelligence platform?

The conversation intelligence platform is quickly becoming the cornerstone of the sales tech stack for companies who recognize the old methods are no longer sufficient. These systems use artificial intelligence and machine learning to gather and analyze sales conversation data from calls and emails; accurately measure customer sentiment; and compile insights for improved sales performance.

In fact, studies have shown conversation intelligence can drive at least a 64% increase in revenue generated by reps in their first quarter and a 50% average reduction in ramp-up time for new hires.

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Conversation intelligence technology provides unparalleled insight into conversations with potential customers. It enables more accurate deal health assessment and forecasting by objectively tracking deal risk indicators across 100% of your sales pipeline interactions.

This data also gives managers and reps a single system of record to elevate rep performance during customer interactions, incorporating:

  • Call recordings
  • Call scoring and analytics
  • Customer sentiment analysis
  • In-line coaching
  • Best practices

This visibility is key to identifying opportunities to improve sellers’ skill sets while also helping you understand the tactics top performers are using, so you can ensure salespeople are equipped with the skills and best practices they need to win more deals.

Conversation intelligence helps managers create coaching blueprints to provide the right training and support for salespeople. It also supports faster and more effective hiring and onboarding of new team members.

Common conversation intelligence use cases

Conversation intelligence software works across multiple channels, improving performance and motivation throughout the organization, from sales reps to sales leadership. It enables companies to:

  • Help sales reps actively listen instead of note-take and share calls across the organization to facilitate better hand-offs
  • Improve conversion rates throughout each stage of the sales process by providing data on what interactions drive deals forward (or not!)
  • Help customer-facing roles improve the sales experience
  • Make it easier for managers to support and coach sales reps
  • Assist leaders in developing effective product and marketing strategies that drive revenue and growth

Today, two-thirds of companies feel their enablement programs fall short. For front-line sales managers, conversation intelligence platforms help them know when to have one-on-one training sessions and how to coach their salespeople in a more relevant and effective manner.

The platform’s sentiment analysis capabilities empower you to keep deals advancing through the sales process or proactively address deal risks while improving metrics like close rates and deal value.

These same capabilities can also help customer success managers improve Net Revenue Retention (NRR) as well as tailor their coaching to reps’ true needs.

For revenue leaders, conversation intelligence means improved deal intelligence — providing complete real-time visibility into the health and status of your accounts’ deals. It also empowers more accurate sales forecasting, helping leaders and teams plan, budget, hire, and allocate resources more effectively.

Lastly, conversation intelligence gives product managers easy access to user feedback so they can make data-informed decisions about product features and priorities.

How can a conversation intelligence platform help you grow your business?

No matter how knowledgeable and experienced a leader is, making effective decisions and driving growth can be challenging without the necessary data and insights. Unfortunately, these are often lacking, which weakens results across organizations.

Sales leaders often have limited visibility into how customers feel about new products and services. As a result, they struggle to pinpoint blockers that reduce productivity.

Revenue teams lack a macro view of how every program and person in the sales organization is performing. They also struggle to track customer interactions, making it difficult to align efforts across teams and develop accurate forecasts.

Enablement leaders have difficulty demonstrating examples of winning behaviors in their training programs or measuring the impact of their efforts on business outcomes.

Conversation intelligence provides the insight you need to overcome these challenges and drive growth by providing 100% visibility into calls.

This helps you improve the customer experience both during the sales process and in the successful adoption of your solutions after the deal is closed.

For sellers, productivity improves because they have access to a unified platform where they can find everything they need, including the transcript and a list of action items or next steps, as well as get immediate feedback after their calls.

And for your go-to-market strategy, conversational intelligence offers individualized, high-value analytics and reporting, insight into the voice of the customer, sentiment analysis, and suggestions to improve messaging to align with the customers’ needs.

8 considerations for choosing a conversation intelligence platform for your business

Investing in a conversation intelligence platform can have a positive impact on your business. But there are many different conversation intelligence platforms on the market today, and they’re not all the same.

It’s important to find a conversation intelligence platform that aligns with the unique needs of your business. To help with this, here are eight factors you’ll need to consider.

Nearly every function at your company can benefit from and use conversation intelligence — from sales leadership to product, marketing, managers, reps, enablement, and operations. Look for a solution that’s easy for each of these groups to use. A simple, intuitive solution will lead to greater adoption, which will increase ROI.

Sales calls are rich with insights that can shape sales coaching, strategy, and forecasting. It’s essential that a conversation intelligence platform accurately records, transcribes, and analyzes these calls. Without a high degree of accuracy, there’s a risk of making decisions and shaping strategies based on incorrect information.

Conversation intelligence provides powerful insights into key deals and accounts. But building a business deal by deal won’t scale. Instead, look for a solution that helps you uncover the ideal competencies that lead your top reps to crush quota and achieve sales outcomes. We call those “winning behaviors,” and we use data from real conversations to model them out.

One key to successfully implementing a new software solution is to choose a platform that adapts to your team members’ workflow rather than making them adapt to it. Finding the right fit will make collaboration between departments easier, visibility more targeted, and teams more organized and productive.

To avoid unnecessary legal issues, reputation damage, or hefty fines, you need to make sure your conversation intelligence platform is secure and compliant. This allows you to safely and consistently offer top service.

Today, more than 63% of sales leaders indicate they have at least 10 tools in their tech stack. So it’s not surprising that 70% of sellers are overwhelmed by the number of tools they’re expected to use. Disparate tools can make sellers’ lives harder, rather than easier. Furthermore, they can create data silos. So when considering conversation intelligence platforms, it’s important to find one that seamlessly integrates with your existing tech stack.

Every revenue organization is unique, which means there’s no “one-size-fits-all” conversation intelligence solution. Instead, seek out a conversation intelligence platform that offers flexibility and can be customized to the needs of your organization.

When you hear the word “value,” price might be the first thing that comes to mind. Pricing does matter, and it’s important to find a conversation intelligence platform that fits your budget. However, it’s just as important to consider the value the platform will deliver to your business. If one platform costs more than another but offers a higher ROI through time savings and improved sales performance, it can be well worth the investment.

Features to look for when considering a conversation intelligence platform

Each conversation intelligence platform comes with a unique set of features and benefits. It’s important to find a solution that aligns with your needs.

That said, there are certain key features any conversation intelligence solution should have. Let’s explore 10 must-haves.

Accurate recording and analysis is the foundation for accurate analysis. Be sure any conversation intelligence solution you are considering offers highly accurate recordings and transcriptions of sales conversations. The platform should be able to easily record conversations and convert them to text with high accuracy – even for varied vocal patterns and noisy environments.

Look for a conversation intelligence platform that provides call scores after each sales conversation. These scores help sellers understand how they performed and enable sales managers to look for trends and opportunities for coaching.

Sentiment analysis provides insight on the tone and emotions behind what a prospect is saying, which can help the seller understand how the prospect feels. This information helps both reps and managers spot potential issues early on and be prepared to address them.

Every successful sales rep understands the importance of timely follow through. A conversation intelligence solution should have the ability to identify tasks and follow-up actions mentioned during a call, such as scheduling a meeting, sending a piece of sales collateral, or circling back on a question or concern. That way, critical tasks aren’t overlooked and sellers can follow up quickly to keep deals on track.

The insights from a single sales call can benefit numerous teams and individuals. If a conversation intelligence platform has call sharing capabilities, you can easily share recorded or transcribed calls with others in the organization.

Call recordings can help sales managers identify areas where a seller may need additional coaching. Choose a conversation intelligence platform that has embedded coaching forms, which make it easier for you to deliver coaching that improves the outcome of a specific deal – as well as the rep’s long-term skills and behaviors.

Sales reps often work remotely. It’s important to ensure your chosen conversation intelligence platform is easily accessible and functional from any device.

There are likely tools and technology that your sales teams use on a daily basis. It’s important to find a conversation intelligence platform that seamlessly integrates with these existing technologies, including your CRM. This allows for a more cohesive workflow and better data synchronization.

Data is key to improving sales processes and seller performance. Seek out a conversation intelligence platform that offers robust data and analytics at both the team and individual rep levels.

Sellers and managers often lack the time to listen to lengthy call recordings. Look for a conversation intelligence platform that leverages an AI assistant to quickly surface insights from calls. For example, a seller can ask the AI assistant to identify the objections a prospect raised during their last call. The rep can use these insights to properly prepare for their next interaction with the buyer.

Unlock the call insights you need to close more deals with Mindtickle

Sales conversations are full of insights that can help you improve buyer experience and sales performance. With the right conversation intelligence platform, you can unlock the insights you need to understand your buyers and deliver experiences that align with their expectations.

But chances are, you’ve already got several tools in your sales tech stack. Rather than adding a stand-alone conversation intelligence solution to the mix, consider investing in an integrated revenue enablement platform with conversation intelligence tools.

Mindtickle is an award winning revenue enablement platform with conversation intelligence tools built right in. With Mindtickle, your sellers always have easy access to the training, content, call insights, and coaching they need – all in one place. That means sellers can spend less time searching for what they need and more time delivering outstanding experiences that win buyers.

Conversation Intelligence in Mindtickle

Ready to see how Mindtickle’s conversation intelligence tools can give you complete visibility into real-world interactions with customers across your organization?

Request a Demo

This post was originally published in January 2023 and was updated in January 2024 and March 2025.

The Magic of Bringing Your Tech Stack Under One Roof

While CROs and sales leaders can’t name every single tool in their tech stack, they do know one thing.

They have too many. 

Research shows that 41% of organizations have 10-15 tools in their tech stacks– and another 18% with 16-20 tools – but it’s not leading to better quota attainment. Bloated tech stacks are leading to organizational (and data) silos and an urgency to consolidate. 

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In this blog, we’re here to help you understand:

  • Benefits of consolidating your sales tech stack
  • What types of technologies to consolidate
  • Top use cases for consolidation
  • Questions to ask yourself before consolidating
  • DOs and DON’Ts of consolidating successfully

Benefits of consolidating your sales tech stack

There are many benefits of consolidating your sales tech stack.

Reps are trained faster

Reps often feel the biggest benefits. Our customers who have consolidated with Mindtickle say their reps are trained 40-50% faster and improve their overall sales efficiency.

While reps in organizations with siloed tech stacks spend just 30% of their time actually selling, with consolidation, reps know what tools to use each day, and spend less time looking for content. They are also better able to work each stage of the sales cycle and match content and next steps to what that particular buyer needs.

Managers can coach more people at scale

Prior to consolidating its sales tech stack, one Mindtickle customer could count on a manager to oversee 4-5 people. After consolidating and improving the scalability of coaching and deal reviews, this same manager can successfully coach 8-9.

Reduced time and administration

Anyone who has ever participated in getting a sales technology off of the ground knows how time-consuming it is to:

  • Get to know the new tool
  • Implement it
  • Customize and support it
  • Drive usage and adoption
  • Continue justifying the investment and proving its ROI

Working with too many sales tech vendors spreads teams thin, and makes it difficult for those organizations to partner together to truly help you drive a sales transformation. Rather than focusing on streamlining workflows, reducing clicks, and driving revenue goals, your time gets sucked up being courted by dozens of vendors who are often primarily thinking about how to keep their seat at the table in this precarious economy. That is not productive for you.

Reduced compliance and security risks

A goal of any good cybersecurity and compliance strategy is to reduce the sales tech stack. Why? Because every new vendor you add opens up risk. Not only do you need to onboard and offboard employees constantly, but there is another team of people with access to critical documents about your strategy and products. As much as possible, it is best practice to focus on fewer trustworthy partners who follow best-in-class compliance protocols.

Create a culture of collaboration

When teams start to use too many different sales technologies, they inevitably adopt different sources of truth and workflows. This can lead to big discrepancies between how people think about business performance, people performance, and what to do each day. In the world of revenue tech, RevOps might work in one platform and see issues with the forecast or pipeline that don’t properly get communicated to enablement.

Enablement might be looking at sales engagement and program statistics that show their efforts are paying off, but have little to no idea that a specific person, team, or sales stage is suffering so they can target and personalize their efforts.

Managers and reps might be completely misaligned on what deal risks even exist, how responsive prospects actually are, and the activity volumes that take place each day.

And CROs, who are responsible for reporting to the board, often get stuck finding problems, but not actually providing the team with strategic guidance on how to go beyond and fix those problems.

As much as possible, building a single data model for the sales org gets the whole revenue team aligned.

Positively impact cash flow and spend

Here at Mindtickle, we know that the average 40-person selling team consolidating its tech stack saves $150,000 annually. For enterprise organizations, the potential financial benefits are much, much steeper.

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While cost does not mean you have to sacrifice quality and results, it should not go unmentioned that organizations that do streamline their sales tech stack and eliminate redundant sales technologies reap big savings.

Tech consolidation is key to revenue productivity

Now that we know why organizations are consolidating their sales tech stacks, and why so many are urgently doing it now, what use cases exist? What types of technologies are they even consolidating?

There are many, but the biggest trend in consolidation right now is in connecting sales enablement and sales operations solutions with the goal of helping reps work and win more deals consistently and at scale. Another good way of putting this is that revenue orgs today are focused on helping reps know what to say, show, and do to win every sales stage.

At Mindtickle and other organizations, these new consolidated platforms are often referred to as revenue productivity platforms. The big idea behind revenue productivity platforms is that they not only help you identify people, deals, and teams that need your attention but actually drive change management at scale.

In a nutshell, revenue productivity platforms help you uncover insights on what deals, teams, and people need your attention but also go beyond to fix them with built-in enablement.

Here are some of the top use cases to consider when consolidating.

With a unified user experience, it’s much easier for reps to find the content that best wins deals without much thinking.

By connecting your content and sales training programs to revenue operations Platforms that do things like help you uncover issues with your forecast, pipeline, and quota attainment, organizations are also able to create more relevant, ROI-driven content and training programs.

At the same time, by empowering revenue teams to work in a platform where they can not only launch programs but deep-dive specific deals and calls, they are able to better root their programs in real field evidence.

Dead are the days when enablement teams would launch a program and cross their fingers that reps actually adopted it in the field. With a consolidated tech stack, the whole team works as one. It’s much easier to hold reps accountable for using the messaging and doing the activities you’ve prescribed as part of your new sales process or sales methodology. In fact, most organizations that consolidate their tech stacks are able to significantly scale deals and call reviews.

With a unified tech stack, not only can you decode what top reps do differently to win more, but you can also drive scalability and repeatability by rolling out things like templates and sales plays.

One of the top use cases is to encourage reps to build Digital Sales Rooms for customers and work deals diligently using Mutual Action Plans.

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Better performance benchmarking and analysis of key sales outcomes

With a consolidated sales tech stack, organizations can start to get really clear about what their Ideal Rep Profiles and competencies look like. This means that instead of relying on manually input CRM data to predict who will hit quota or not, organizations can start to define the skills, activities, and in-field behaviors that make reps successful or not.

Ideal rep profile competencies

Once those Ideal Rep profiles and competencies are defined, organizations can better benchmark who is ready or not to hit quota. At Mindtickle, we call this the Sales Readiness Index. Dozens of our customers use it to know which teams and people need their attention.

This level of benchmarking is only possible when you unify your sales tech stack and begin to create a single data model around all of your buyer and seller interactions, as well as your sales competencies.

A culture of practice, reinforcement, and coaching

Sales coaching is essential, and it’s proven to drive bottom-line results. In fact, companies that provide quality coaching can reach 7% greater annual revenue growth. But why do so many fail to go beyond the one-way training provided through a typical Learning Management System?

A siloed sales tech stack is often the culprit.

By unifying your sales tech stack, you can enlist sales managers to participate a whole lot more. Finally, you can deliver insights like these to sales managers:

  • Deal health score
  • Deal risk insights
  • Visibility into calls, emails, and meetings
  • Visibility into buyer engagement
  • Adoption of sales processes and methodologies, such as MEDDPIC

Once sales managers can access this data in one place, they can prescribe training programs that content reps should check out.

At the same time, features like AI video role-plays and reinforcements help reps overcome the forgetting curve by helping them practice and retain knowledge.

Questions to ask yourself before consolidating

Now that you know why businesses are consolidating redundant sales technologies and the use cases they are pursuing, here are some questions to ask yourself.

  • When it comes to my current tech stack, what needs and pain points does my team have?
  • Where are we paying for redundant features?
  • What tools are driving the most/least usage for us?
  • What tools are creating silos and misalignment between different departments?
  • Which of our vendor relationships are the most efficient and successful? Which ones are lacking or taking up too much of our time?
  • Are our sales tech costs where they need to be?
  • Do the sales technologies we use integrate nicely?

Ready to see the magic of consolidating your revenue tech stack into a single platform?

Now that the benefits of consolidating your tech stack are clear and you’ve asked yourself if it makes sense for your organization, you might be ready to evaluate a single-platform solution. If that’s the case, here are some dos and dont’s that will serve as a valuable guide when choosing a technology partner:

Take inventory of your existing sales tools and evaluate their effectiveness, usage, and integration capabilities.

Clearly outline your goals and desired outcomes for consolidating your sales tech stack. Identify the specific functionalities and features you need to support your sales process.

Look for tools that seamlessly integrate with your existing systems, such as CRM, marketing automation, or customer support software. Smooth data flow and automation are crucial for a consolidated tech stack.

Seek input from your sales team throughout the consolidation process. Consider their needs, pain points, and preferences to ensure the new stack aligns with their workflows and enhances their productivity.

Select tools that can accommodate your business’s growth and evolving needs. Scalability is essential to avoid the need for frequent changes and migrations in the future.

Opt for intuitive tools that require minimal training and onboarding. User adoption plays a significant role in the success of your consolidated tech stack.

Prioritize the security of your sales data when selecting tools. Verify that the vendors have robust security measures in place, including data encryption, access controls, and compliance with relevant regulations like GDPR.

Plan for proper training and ongoing support to ensure a smooth transition and user adoption. Neglecting training can hamper your team’s ability to effectively utilize the consolidated tech stack.

While consolidating your tech stack can bring efficiency and cost savings, carefully evaluate the total cost of ownership, including licensing fees, implementation costs, and any potential hidden expenses.

Anticipate your future requirements and select tools that can adapt and grow with your business. Avoid short-term solutions that may become obsolete or inadequate as your sales operations expand.

Ready to learn more about how to consolidate your sales tech stack? Get in touch with our team so we can talk through your challenges and understand how a consolidated tech stack will help your sellers be more productive. 

Consolidate your sales tech stack with Mindtickle

Talk with an expert about your current tech stack and how Mindtickle combines all your revenue productivity solutions and data into one tool. 

Get a Demo

This post was originally published in January 2022, updated in May 2023, and again in March 2024.