How to Change from Feature-Based Selling to Value-Based Selling

When making changes to your sales approach or processes, you want to be sure you achieve your desired outcomes. With a plan in place, you increase the likelihood that you will. Below are the steps you need to take to change from feature-based selling to value-based selling.

To make this transition you’ll want to follow these steps:

  •         Revise your sales process
  •         Update your competency framework
  •         Identify and create the required content
  •         Identify individual knowledge and skill gaps
  •         Guide and coach your reps through personalized training
  •         Provide ongoing updates

Revise your sales process

There are several reasons to revise your sales process. They include changes to your company, team, product, customer base, customer behaviors, and decreased results from your existing process. Changing your sales methodology is often the outcome of one of these reasons. To revise your sales process consider what changes will be necessary to accommodate your value-selling approach. When, in the buyer’s journey, will your reps be initially engaging with prospects? What steps will need to take place, using a value focus, to convert the prospect to a customer? Map this out very carefully so your sales team always knows what’s next to advance through the process successfully. Once the process is implemented, be sure to use metrics and rep feedback to fine-tune and adjust it as needed.

Update your competency frameworks

Before you can make the change from feature-based to value-based selling, you need to update your sales competency frameworks. These plans provide detailed information about behaviors, skills, and knowledge requirements for each sales position. They simplify benchmarking and help you easily recognize successful training outcomes. To update your frameworks, consider what knowledge, skills, and attributes should be removed from your current ones for each sales position. Next, add any new competencies that will be required for effective value selling. Depending on your particular product or service, these will vary. In our discussion about value-selling, we included several categories of skills and knowledge your team must have for success. They include product, case studies, marketplace, industry information, and buyer personas. Compare these to your current competencies to identify the updates needed. If you’d like more information relating to sales competency frameworks, we discuss this topic in more detail in

this article

.

Identify and create the required content

Once you’ve updated your sales process and your competency frameworks, you’ll be able to identify content gaps. Develop updated content that incorporates your new messaging for both internal and external use. Be sure that you have content for every stage of the sales process, prospect industries, and each persona involved in the buying process. Content will include training materials such as buyer personas and corresponding value propositions for each product, industry, and persona. Plus sales playbooks and training materials like audio, video, and written training snippets, assessment quizzes, games, and certification exercises. Client-facing content tools might include case studies, white papers, e-books, and the like. As this content is used, don’t forget to gather feedback on it from your sales team. Track which pieces are used and which are most effective. This will simplify future content planning.

Identify individual knowledge and skill gaps

If you training your entire sales team on the same material, you risk boring more experienced reps while confusing less experienced ones. You should allow reps to fulfill their individual training requirements. To do so, you must identify each team member’s specific knowledge and skill gaps. There are several ways to do this. These include observation of demonstrated skills and behaviors, assessments through task simulations, self-assessments, quizzes, and performance data. To learn more, you can read

this article

about identifying knowledge and skill gaps.

 

Personalized training with coaching

Armed with your reps’ knowledge and skill gap information, you can start guiding and coaching your reps through the personalized training they need. Prioritize their training needs to help them get started. Utilize short bite-sized written and video training modules. At the end of each module, include short quizzes and games designed to measure their understanding while reinforcing what they’ve learned. Simulation missions allow sales reps to practice and apply what they have learned. For minimal impact on their schedules, these are completed via mobile video and coach feedback is provided. This will reinforce correct practices and prevent the development of bad practices. It’s an excellent way to incorporate another layer of coaching.

Leverage gamification

to motivate them to advance through their training. Leaderboards and rewards will activate their competitive nature too while keeping the process fun and engaging. Incorporate certifications at the end of each course to ensure that reps are properly prepared to effectively apply their newly-learned knowledge and skills.

Provide ongoing refreshers and updates

It’s been shown that training, without ongoing reinforcement, is very quickly forgotten. This is why it is important that you provide your salesforce with refreshers and updates. Refreshers can include bite-sized pieces of supplemental information relating to what they’ve already learned. Share cheat sheets, best practice examples, and reminders. Send out pop quizzes from time to time also. This will allow them to recall knowledge they’ve been taught and apply it. Coaching and simulations exercises are also excellent ways to help your team remain effective by using their skills in different scenarios so they’re always prepared. Updates should include information about new content, new success stories, changes in the marketplace, and changes internally. With these, they’ll always have the latest information at their disposal and never be caught off guard by unexpected questions from prospects pertaining to the latest changes.

Now you have a roadmap to help you change from feature-based to value-based selling. Once you’ve completed this process your team members will be prepared to provide more valuable solutions to their prospects. The end result will be consistently elevated rep performance and more closed deals. And isn’t that the goal? Now it’s time for you to get started with this process so you receive the benefits of value-based selling in your organization!

The Impact of AI on Your Sales Strategies

Artificial intelligence (AI) is here to stay. While there’s been a lot of hype about AI we’re yet to see it’s true value – but I don’t believe we’ll have to wait much longer. In fact, AI technology can be found in some sales software already.

AI has the potential to have a profound impact on your sales strategies and the sales readiness of your reps.

Forrester predicts that AI will disrupt your sales strategy this year. In fact, 84% of businesses believe AI will give them a competitive advantage and 69% believe their competitors will use it too.
Reasons-for-adopting-AI-worldwide-2017

It will make your sales organization more intelligent agile, and customer-centric. It may even change the way you sell altogether.

What is AI?

AI is the ability for a computer program or a machine to think and learn. AI, therefore, needs a lot of data that it can filter and process quickly. The more data you give AI the more intelligent it will become.

AI can be used in simple tasks, like playing a game of chess with you, or for more complex decisions like behind the wheel of a driverless car.

Potentially, AI can be used to do anything that a human does. It can sort through your inbox and work out what emails you should prioritize and help you research your customers. The biggest limitation on AI in the future will be what your customers are happy to accept. For example, many may not want to have a complex discussion about your product, but they may be happy to ask a chatbot some preliminary questions.

Research by Capgemini has found that AI increases sales of products and services and increases inbound customer leads.
Areas-of-AI-driven-benefit-gain-for-respondents--sales

Analyzing sales conversations

It can take hours for managers to wade through taped phone calls or listen in on live calls so they can coach their salespeople. Converastion intelligence listens to conversations, transcribing, and then analyzing them. This technology exists today and is able to pick up on key parts of the conversation like when a customer starts talking about the issues they are facing or information that competitors have given them.

This information can then be used by your sales managers to help coach their salespeople. Your sales enablement team can also use it to improve processes and best practices, like call scripts and training materials. The product and marketing teams can also use the competitor information for their market and customer insights.

This technology has the potential to develop and improve even face-to-face sales conversations in the future. Imagine if it could ‘hear’ every conversation reps have out in the field. These could all be analyzed to provide information about how to improve how each individual rep sells.

It could also be used to script phone conversations in real-time. This would give SDRs all the information they need to deal with customer questions and objections as they arise.

Optimizing lead generation

Finding the right leads for your salespeople can be like finding a needle in a haystack. Because AI can process large amounts of data quickly, and then learn from what it finds, it has the potential to revolutionize lead generation.

Rather than a person having to go through Google, social media, or other data sources, AI can review these for you. The technology can not only identify the right job titles and businesses to target, but it can also analyze the sentiment in comments made on social media or by email. This means AI can help you identify whether someone is unhappy with a competitor’s product or is in the market for a new one. When you consider that 57% of buyers are already far along their decision-making process before they meet a salesperson, the earlier you can speak to them the better your opportunity to convert them.

Some platforms already use AI to help them identify the right leads and contact them. The technology can create prospecting emails, monitor responses and improve how they react to them. It can compare lead responses to past data and even predict how each lead will respond, helping prioritize leads. This frees up the time of marketing and salespeople, qualifying prospects quicker and more cost-effectively.

Having sales conversations

While it’s unlikely that AI will replace salespeople in complex sales any time soon, they can help move sales conversations further down the process. Many businesses already use chatbots to answer simple questions for customers on their websites.

According to Forrester, these are already replacing email in customer service channels in large companies like Nike and Apple and they may influence up to 10% of purchasing decisions. The more conversations the technology has with customers, the more it will learn.

Customers are also getting used to talking to AI, with 48% of people favoring live chat compared to 54% preferring email. The gap is closing.
Live-chat-is-nearly-as-popular-as-phone-and-email

The power of AI extends far beyond the sales conversation and into the data that the technology can collect during these conversations. They can take the information that customers share, identify their sentiment and then feed that information back to your sales, enablement, product, and marketing teams. This can inform your sales training, processes, product features, and marketing strategies as well.

Automating tasks

Salespeople can spend almost a quarter of their time on administrative tasks. Managing their emails, logging their activity, and updating the CRM. This is all time that could be spent selling. It is here that AI can potentially generate the quickest wins. If it can give back selling hours to each of your salespeople’s days, that has the potential to go straight to your topline revenue.

There are many ways that AI can potentially reduce administration at the frontline. Prioritizing emails and suggesting how a salesperson should respond to them is just one. Depending on the data available to it, AI could help put together the best pricing option for a customer, conduct credit checks and automate billing. AI can even do a salesperson’s reading for them, notifying them if something has changed that means they need to call a customer. If a customer has recently acquired another business or a new VP has been appointed, it may be time for your rep to touch base again.

Forecasting

Prediction is what AI specializes in so it’s only fitting that it would be used for forecasting. By providing data about past performance it can use it to predict future performance – but AI can go further.

It can take data from a wide range of sources and pull them together to create a predictive model for future performance. Rather than just telling you if you’ll meet your quota at the end of the year, AI tells you which deals are more likely to close and when. Sales managers and reps can be far more strategic about their customer interactions.

Taking it a step further, AI could tell you which customers to upsell to and when. This can save reps a significant amount of time and energy, by focusing efforts where it’s more likely to be rewarded. The result should be an increase in win rates and productivity.

A study in MIT Sloan Management Review found that 76% of early adopters aimed for higher sales growth using AI and it’s easy to see why. AI has the potential to completely change the way reps play the game. It can give them more time to sell and improve how they sell as well.

With so many different options available to you, the biggest challenge is to work out which AI technology to implement first – perhaps there’ll be an algorithm that can even tell you that soon.