Utilizing automation and AI to elevate your win-loss program

Andrew Peterson, Co-founder & Co-CEO

TL;DR

  • Utilize automation and AI to improve win-loss analysis in a competitive landscape.
  • The Clozd Platform offers automated deal selection, buyer feedback collection, and instant transcription.
  • AI identifies key insights and generates reports, streamlining the analysis process.
  • Clozd's upcoming feature, Ask Clozd™, will provide quick answers to win-loss data queries.
  • Clozd offers a comprehensive solution with AI and automation for strategic insights in a fast-paced market.

Introduction 

In today’s competitive landscape, understanding why deals are won or lost is more critical than ever. As a result, revenue leaders are tapping into win-loss analysis to better understand what changes they need to make to improve their go-to-market strategies and boost their win rates.

Establishing an effective win-loss analysis program, however, can be resource-intensive and time-consuming. This is where the power of artificial intelligence (AI) and software automation comes into play, revolutionizing how businesses approach win-loss analysis by making it more efficient, scalable, and insightful. Best of all, you don’t have to wait to tap into these powerful tools—they’re already available within the Clozd Platform. For a personalized Clozd demo, sign up here.


Automate deal selection through our CRM integration

The first step in conducting win-loss analysis is determining which deals to review. Historically, this has been a time-intensive process that involves manually pulling opportunity reports or browsing and selecting opportunities in your CRM. 

Clozd can automate this selection process by integrating directly with your CRM and then using specific criteria—such as deal size, region, product line, or any other relevant factors—to determine which closed opportunities qualify for win-loss feedback. Clozd then automatically enrolls the relevant contacts into personalized invitation sequences.

This kind of automated approach saves time and eliminates the natural bias that’s inherent in manual deal selection. More importantly, it accelerates insight quality and time-to-insight by shortening the timeframe between when a deal closes and feedback is captured.


Collect buyer feedback at scale

Once the deals are selected, the next challenge is collecting feedback at scale. 

Live interviews are still the ideal mechanism for collecting qualitative feedback. That’s why Clozd provides scalable services to conduct these interviews on behalf of our clients.

For companies with thousands of won and lost opportunities, new technologies—like Clozd’s Flex Interviews—can automate the process to economically scale win-loss data collection. While not as adaptive and robust as live interviews, Flex Interviews are far superior to surveys in terms of quality and depth of feedback. They also boast higher participation rates than traditional surveys. Additionally, participants appreciate the mobile responsiveness and convenience of Flex Interviews, as they can respond to the interview when and where it’s most convenient for them. In the future, Flex Interviews will be augmented by AI allowing for real-time interpretation of responses to customize follow up questions.


Instantly transcribe and summarize win-loss interviews

Once a live or Flex Interview has been conducted, Clozd AI can transcribe the interview in real time, converting audio or video recordings into text. Gone are the days of importing audio files to third-party applications for transcription, only to turn around and paste them into other documents. Clozd’s accurate, instant transcriptions make it possible to automatically publish and share a completed interview with colleagues and leaders with no manual intervention.

Beyond transcription, Clozd taps into generative AI to automatically—and quickly—summarize each interview, highlighting the most critical points and insights. This feature allows stakeholders to quickly grasp the essence of each interview, focusing on the outcomes, decision-making rationale, and buyer suggestions without needing to dig through each transcript in detail.


Identify and tag important deal insights

Identifying the specific factors that influenced a win or loss is vital for actionable analysis. Clozd AI—which consists of trained models that tap into natural language processing (NLP) and sentiment analysis—can instantly identify and suggest key Decision Drivers in interview transcripts, highlighting critical product features, pricing issues, sales execution gaps, and more. This tagging helps to quickly identify patterns and trends across multiple deals, which offers clear directives for strategic adjustments.


Auto-generate win-loss reports

Historically, aggregating win-loss insights into role-based reports has historically been a significant undertaking for win-loss practitioners. Clozd’s automated report builder streamlines this process by curating and generating aggregate win-loss summary reports automatically at regular intervals. These reports provide a holistic view of performance over time, emphasizing key strengths to leverage as well as areas for improvement—all with minimal manual intervention. Additionally, multiple report templates designed for specific roles and departments can be implemented to ensure that key stakeholders receive customized reports catered to their unique needs.


Ask Clozd™

Thanks to recent advancements in Generative AI, Clozd will soon be launching Ask Clozd™, a feature that will allow users to probe into their win-loss data set using a chat-based interface. Rather than combing and filtering through your win-loss feedback, users can simply ask a question like, “What are the top 3 reasons we lose new business deals to our competitor ACME Corporation.” Clozd will generate an insightful answer within seconds, allowing users to save time and home in on the answers they need in the moment they need them.


A Comprehensive Solution

While some vendors offer pieces of this technological puzzle, Clozd stands out as the only software platform to deliver all these features out of the box. By harnessing the power of AI and automation, Clozd elevates win-loss analysis from a cumbersome task to a continuous source of strategic insight. Businesses can now access deeper insights faster and with less effort, enabling them to stay agile and competitive in an ever-evolving market.

For a personalized Clozd demo, sign up here.

BLOG POST
|
5 MIN READ

Utilizing automation and AI to elevate your win-loss program

Andrew Peterson, Co-founder & Co-CEO
Use Case
Ready to win more deals?
Learn how we capture in-depth buyer feedback—and how it can transform your business.
Book a demo

TL;DR

  • Utilize automation and AI to improve win-loss analysis in a competitive landscape.
  • The Clozd Platform offers automated deal selection, buyer feedback collection, and instant transcription.
  • AI identifies key insights and generates reports, streamlining the analysis process.
  • Clozd's upcoming feature, Ask Clozd™, will provide quick answers to win-loss data queries.
  • Clozd offers a comprehensive solution with AI and automation for strategic insights in a fast-paced market.

Introduction 

In today’s competitive landscape, understanding why deals are won or lost is more critical than ever. As a result, revenue leaders are tapping into win-loss analysis to better understand what changes they need to make to improve their go-to-market strategies and boost their win rates.

Establishing an effective win-loss analysis program, however, can be resource-intensive and time-consuming. This is where the power of artificial intelligence (AI) and software automation comes into play, revolutionizing how businesses approach win-loss analysis by making it more efficient, scalable, and insightful. Best of all, you don’t have to wait to tap into these powerful tools—they’re already available within the Clozd Platform. For a personalized Clozd demo, sign up here.


Automate deal selection through our CRM integration

The first step in conducting win-loss analysis is determining which deals to review. Historically, this has been a time-intensive process that involves manually pulling opportunity reports or browsing and selecting opportunities in your CRM. 

Clozd can automate this selection process by integrating directly with your CRM and then using specific criteria—such as deal size, region, product line, or any other relevant factors—to determine which closed opportunities qualify for win-loss feedback. Clozd then automatically enrolls the relevant contacts into personalized invitation sequences.

This kind of automated approach saves time and eliminates the natural bias that’s inherent in manual deal selection. More importantly, it accelerates insight quality and time-to-insight by shortening the timeframe between when a deal closes and feedback is captured.


Collect buyer feedback at scale

Once the deals are selected, the next challenge is collecting feedback at scale. 

Live interviews are still the ideal mechanism for collecting qualitative feedback. That’s why Clozd provides scalable services to conduct these interviews on behalf of our clients.

For companies with thousands of won and lost opportunities, new technologies—like Clozd’s Flex Interviews—can automate the process to economically scale win-loss data collection. While not as adaptive and robust as live interviews, Flex Interviews are far superior to surveys in terms of quality and depth of feedback. They also boast higher participation rates than traditional surveys. Additionally, participants appreciate the mobile responsiveness and convenience of Flex Interviews, as they can respond to the interview when and where it’s most convenient for them. In the future, Flex Interviews will be augmented by AI allowing for real-time interpretation of responses to customize follow up questions.


Instantly transcribe and summarize win-loss interviews

Once a live or Flex Interview has been conducted, Clozd AI can transcribe the interview in real time, converting audio or video recordings into text. Gone are the days of importing audio files to third-party applications for transcription, only to turn around and paste them into other documents. Clozd’s accurate, instant transcriptions make it possible to automatically publish and share a completed interview with colleagues and leaders with no manual intervention.

Beyond transcription, Clozd taps into generative AI to automatically—and quickly—summarize each interview, highlighting the most critical points and insights. This feature allows stakeholders to quickly grasp the essence of each interview, focusing on the outcomes, decision-making rationale, and buyer suggestions without needing to dig through each transcript in detail.


Identify and tag important deal insights

Identifying the specific factors that influenced a win or loss is vital for actionable analysis. Clozd AI—which consists of trained models that tap into natural language processing (NLP) and sentiment analysis—can instantly identify and suggest key Decision Drivers in interview transcripts, highlighting critical product features, pricing issues, sales execution gaps, and more. This tagging helps to quickly identify patterns and trends across multiple deals, which offers clear directives for strategic adjustments.


Auto-generate win-loss reports

Historically, aggregating win-loss insights into role-based reports has historically been a significant undertaking for win-loss practitioners. Clozd’s automated report builder streamlines this process by curating and generating aggregate win-loss summary reports automatically at regular intervals. These reports provide a holistic view of performance over time, emphasizing key strengths to leverage as well as areas for improvement—all with minimal manual intervention. Additionally, multiple report templates designed for specific roles and departments can be implemented to ensure that key stakeholders receive customized reports catered to their unique needs.


Ask Clozd™

Thanks to recent advancements in Generative AI, Clozd will soon be launching Ask Clozd™, a feature that will allow users to probe into their win-loss data set using a chat-based interface. Rather than combing and filtering through your win-loss feedback, users can simply ask a question like, “What are the top 3 reasons we lose new business deals to our competitor ACME Corporation.” Clozd will generate an insightful answer within seconds, allowing users to save time and home in on the answers they need in the moment they need them.


A Comprehensive Solution

While some vendors offer pieces of this technological puzzle, Clozd stands out as the only software platform to deliver all these features out of the box. By harnessing the power of AI and automation, Clozd elevates win-loss analysis from a cumbersome task to a continuous source of strategic insight. Businesses can now access deeper insights faster and with less effort, enabling them to stay agile and competitive in an ever-evolving market.

For a personalized Clozd demo, sign up here.

Clozd gave us insights into the 'why' we were winning deals."

Ike Nwabah

  | VP of Marketing

Outstanding means of understanding why you win and lose."

Tripp R.

  |  Global Competitive Insights Manager

Depth of knowledge we could never achieve on our own."

Gary C.

  |  VP of Product Marketing