Highspot Blog

Opportunities for AI in Your Sales Tech Stack

sales ai

Artificial intelligence is the next big thing for sales. Sales leaders know it, but many aren’t sure what to do with sales AI yet.

A recent MIT survey found that 85% of executives believe that AI will give their companies a competitive advantage, yet only about 20% have incorporated AI into their business.

Although hype is building around the potential of sales AI, business leaders are struggling to find a starting place.

If you’re a sales leader looking to give your team an edge over the competition, these six opportunities will give you the guidance you need to begin using AI to streamline your sales processes.

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Digital Sales Transformation: 3 Key Areas for Success

Digital transformation — two words anyone who has so much as dabbled in the tech space has heard time and time again. Dubbed by SiriusDecisions as the “buzziest buzzword in B2B,” digital transformation means different things to different organizations. One of the areas where digital transformation is becoming increasingly relevant is in how sellers relate to their customers.

The results of SiriusDecisions’ 2018 Digital Transformation Survey showed that 55 percent of respondents believed that the goal of digital transformation should be on changing engagement with buyers and customers. In other words, how we relate to our customers is rapidly changing. Your buyer needs to be reached quicker with exactly the information they’re looking for, and now more than ever it’s important to invest in digitizing your sales force. Continue reading article ›

5 Fast Ways for Sales Enablement Leaders to Modernize for 2018

Sales enablement modernization to improve sales productivity

Keeping up with buyers today is exhausting. Their behaviors are constantly shifting, and they do more research up-front and on their own than ever before. According to CEB, the average B2B buyer gets 57 percent of the way through their purchase decision before ever engaging a supplier sales rep.

But ponder this: the modern sales rep doesn’t have a problem with any of that. The top echelon of sales reps is knocking it out of the park even in today’s buyer-first environment. Why? Because they’ve figured out what works. Sales enablement teams have the power to lead a shift across the sales organization to update old school “conventional wisdom” and modernize the way reps work.

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How to Sell Smarter with AI for Sales Enablement

For sales reps and marketers, survival skills begin with the ability to separate long-term signals from short-term noise.  This influences where reps invest their time, how marketers construct their awareness and demand gen strategies, and the prioritization criteria for sales enablement leaders who need to manage everything from in-context training to playbooks and more.  

Today we’re going to dive into AI (Artificial Intelligence) and its evolution from a trend-making concept to a core feature of any modern sales enablement platform. Continue reading article ›

Sales 3.0 — The Future of Sales Will Require Sales Enablement

the future of sales requires sales enablement

Last week, Highspot attended Sales 3.0 in San Francisco. For those that don’t know, Sales 3.0 is a long running — and evolving — conference run by Gerhard Gschwandtner, the founder and CEO of Selling Power. It’s devoted to introducing B2B sales leaders to sales technologies, trends, and strategies to produce increased revenue and improved sales performance, and it delivered hugely this year!

gerhard gschwandtner

Photo of Gerhard Gschwandtner kicking off Sales 3.0

According to Gerhard, Sales 1.0 was about hustle. Sales 2.0 was when everything went online and became a science. And now, Sales 3.0 centers around the app explosion (think Salesforce App Exchange) and the inclusion of artificial intelligence (AI) in all aspects of our lives, while balancing technology with our innate human qualities.

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Announcing Email Integration with Microsoft Outlook and Automatic Language Filtering

Announcing Email Integration with Microsoft Outlook and Automatic Language Filtering_Blog-Post

At Highspot, we’re committed to continual product updates and enhancements in our quest to make sales reps’ jobs more effective and efficient. Last month, I shared that the Highspot Sales Enablement solution now offers inline editing within Microsoft Office 365,  and today I’m excited to unveil two more important product advances: Integration with Microsoft Outlook and automatic content filtering by language based on machine learning capabilities.

The Outlook integration is a “best of both worlds” scenario, as sellers now have the option to decide if they’d like to send content directly from Highspot’s sales content management system or from their corporate email client.Continue reading article ›

Making Search Work

making search work

We all use different ways to find what we need online. One of them is to browse through information that has been organized for you. When you go to the business section of the New York Times, or you look at the items for sale from a particular vendor, you are using a structure that somebody set up with lists or tags. It works well for managing content that is uniform, where everything is controlled by a single person or group. Inside of a company, for example, maybe you have a set of case studies and you organize them based on the product line, geographic region, and customer industry they cover. But, as we discussed in the last post, this model breaks down over time when you apply it to all the information in a dynamic organization. The structure gets more out of date, content isn’t put in the right places, and it gets increasingly impossible to find what you need.

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The Trouble with Tags

trouble with tags

Have a lot of content you need to manage and share, but nobody can find anything on your internal network?

Maybe there is an easy solution — if you could just tag each item the right way, then everyone can quickly find exactly what they need. It doesn’t sound that hard. First, you have to figure out the right tags to use. If you are dealing with marketing material, you might label everything with a type — “pitch deck,” “whitepaper,” or “price sheet.” You might label it with the set of products that it covers. And the relevant technology trends. And regions where it applies. And so on. Now you have to tag all your items. Well, not all of them — that would take way too long to be practical. So, you choose a small subset and hope that you picked the right ones — did you leave out anything that somebody might really need?

Even with just a small fraction of your content, it takes a lot of time to do all that tagging. But just maybe, with a little discipline, your problems would then be over.

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Machine Learning in the Workplace

machine learning in sales enablement

Why is it easy to find the information you are looking for on the Web, and so hard to find it at work? I continue to be amazed that you can find the diameter of the moon, or an inexpensive yet highly rated TV, or the largest city in Ohio, with just one or two queries and a few clicks. Now contrast your experience on the Web with your experience at work, where finding a spreadsheet, or the latest planning memo, or the most applicable sales deck, can take forever and a day.

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