Sales Data and Sales AI Resources

Learn how sales data and AI can help your team sell smarter.

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Sales AI

Tips and best practices on how to use AI for sales in 2024.

Sales AI

How to Sell More Effectively With AI Sales Tools

The sales profession is at a turning point. AI sales tools are now mainstream and available to help sellers improve their efficiency by reducing the drudgery of many manual tasks or scaling their efforts. The result of these efficiency gains is that sellers are able to put more time into core selling activities and less into data entry, prospect research, and other actions.
Sales AI

How to Get Better Sales Performance Analysis With AI

In this blog, we'll explore the many AI methods that businesses can use for sales performance analysis.
Sales AI

The Truth About Sales Chatbots in 2024

These AI-powered virtual assistants are designed to engage with customers, answer their queries, and ultimately drive conversions. But what exactly are sales chatbots? Why would you want one?
Sales AI

Machine Learning in Sales, Simplified: How It’s Changing Old Sales Strategies

But what is machine learning, and how is it transforming the sales process? To help you understand this important emerging technology and its role in sales AI, let’s take a look at the nature of machine learning, its applications in sales, how it can help business owners, and actionable examples for implementing it in your company.
Sales AI

AI Sales Enablement: Is It Useful or a Gimmick?

When it comes to insights, AI is unrivaled. It has the potential to revolutionize sales enablement by analyzing vast amounts of sales data, extracting valuable insights, and providing predictive analytics to optimize sales strategies.
Sales AI

Pipeline Analysis: Art or Science?

The pipeline analysis process often demands a blend of art and science that, when executed properly, can deliver extraordinary results. First, let's explore what constitutes the 'art' aspect of pipeline analysis.

CRM Best Practices

Modern techniques for using your CRM to improve sales performance and get better insights.

Churn Management

Proven strategies for retaining (and expanding) your customer base.

Buying Signals

Tools and tactics for using signals to optimize your sales process and close more deals faster.

Buying Signals

The Ultimate Guide to B2B Buying Signals

Each buying signal can offer you a valuable piece of insight into the prospective client's buyer journey. These signals can help you identify the exact stage where the prospect is in the buying process.
Buying Signals

Cracking the Code: How to See (and Use) Purchase Intent

To fully harness the power of purchase intent, let’s differentiate between pre-sales and mid-sales intent signals. These two types of signals offer different insights and require different approaches in how they’re used in the B2B sales process.

Common questions

Frequently asked questions about AI in sales, data analysis and reporting, and SetSail’s approach.

What is sales AI, and how does it differ from traditional sales approaches?

AI has given sales teams new ways to be more productive and work smarter. Traditionally sales involved a lot of manual work: sending emails, logging data, building dashboards, etc. AI has automated or enhanced many of those tasks. Generative AI in particular has overhauled the workflows of sales teams, from SDRs to CROs.

How can AI improve sales performance?

AI has a lot of potential use cases for improving sales performance. Some of the “classic” examples are AI-written sales emails, chatbots, and automated data logging. More advanced versions of AI can mine data sets to proactively identify deal milestones, account health, and coaching opportunities. With better insights, sales teams can make better decisions, allocate their resources more effectively, and do their jobs with greater efficiency.

What sales data do you need for AI to be effective?

AI on its own is helpful for sales teams, but it’s far more effective when paired with high quality data. The sales teams that are best leveraging AI also have the most complete and accurate internal data. Those companies prioritize having a full history of deals, rep performance, activity data, intent data, and more. With a more complete data set, AI can deliver much better insights, be more accurate, and can provide significantly greater performance gains.

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