Skip to main content

Python Career Path: Everything You Need To Know For a Career in Python

Sales Enablement: Everything You Need To Know

Right from its introduction, sales enablement managed to create a stir in the market and since then has been a hot topic as it aims to augment the sales processes and amplify the end results. In this blog, I'll discuss everything you need to know about sales enablement, so let's jump in.

What is Sales Enablement?

We all are familiar with the 4-tiered sales funnel - Awareness, Consideration, Decision, and Purchase. The first 2 stages are attributed to marketing and the last 2 stages to sales. This is being transformed by sales enablement, a continuous strategic process that enriches sellers with the right tools, skillsets, and assets they need in order to enhance buyer experience and engagement, skyrocketing the company revenue. 

“As per an annual report from CSO Insights, the sales enablement programs resulted in a 15% increase in the win rates.”

From providing the sales team with all the right and necessary resources, including content, mentorship, and assistance they need to engage potential buyers, to giving them data-driven insights for the optimization of their business’ revenue, sales enablement aligns these resources and actions to drive efficient sales operations. These allocated resources can be analyzed in terms of ROI and profitability - checking whether or not the desired results were achieved. However, it’s important to note that sales enablement is not only about giving out the right resources but guiding the sales team as to when they should use them. This is done by identifying the highest performing content to eventually close the loop between Customer - Sales - Marketing.

Sales Enablement Categories

“More than 75% of businesses have reportedly seen higher sales, out of which 40% of the companies have noted a growth of over 25%.” 

Based on what resources are leveraged, sales enablement has been categorized into the following. Companies are free to use either 1 or all of them:
  • Content-based Sales Enablement: It refers to equipping sellers with targeted assets which might result in the enhancement of sales conversations with potential buyers. It helps you unleash the power of your otherwise scattered content.
  • Technology-based Sales Enablement: It refers to providing the tech sales reps need to improve their sales performance.
  • Training-based Sales Enablement: It refers to providing the sales team with training and guidance that will help them improve their sales quota achievement graph. In fact sales leaders have reported a 14% shorter average sales cycle on providing deal-specific mentorship.
  • All-In Sales Enablement: For the organizations that practically implement all the aforementioned categories, they follow an “All-In Sales Enablement” path. These types of organizations are bound to outrun their competition in terms of sales performance.

How Will It Help Me?

Around 45% of top-performing companies believe in prioritizing the personalization of sales conversations.

The term “Sales Enablement” has been used rather vaguely over time and it’s not as much about the sales as it is about the buyers - it’s more like equipping the sales team with what the buyer wants. 
Like I said, “It’s all about the buyers” and that’s what will get them to convert.

With its analytics part, the sales reps can identify the right content and then leverage it by placing it appropriately throughout the buyer’s journey. Equipping your sales rep with “The Assets” will, obviously, help them sell more effectively. It helps you improve customer conversations and win more deals as you optimize your sales strategy on the go leading to better client interaction and a satisfying user experience.

According to a report by Aberdeen, companies with a robust Sales Enablement program have managed to acquire a 23% increase in their lead conversion rate.

The bottom line is that the sales team is the spinal cord of a company and equipping them with the right resources will act as a step towards unlocking immense future growth opportunities.




**All stats are taken from Aberdeen - a fact-based business intelligence research.

Comments

Popular posts from this blog

Metadata Management: Challenges, its Democratization and Governance

  With digital transformation overtaking almost every aspect of businesses, data has found itself at the very core of the entire process. In-depth and detailed analysis and understanding of data are what’s determining the success of organizations, nowadays. The better a business is at evaluating and driving insights from collected data, the better they will be at revamping their strategies and boosting their overall growth. Over the past couple of years, data and its analysis has seen tremendous growth, especially with the arrival of Big Data and the various regulations, data analysts and leaders are looking beyond conventional trends. Up until now data was just brought in for reporting, data warehouses, and data marts, but today it is cloud-native and cloud-first; the focus has shifted on delivering trusted data for better insights which brought the concept of metadata and its management. In fact, according to Gartner , “ By 2021, enterprises are projected to spend twice as much effor

Python Career Path: Everything You Need To Know For a Career in Python

Almost every software or computer engineer struggles with programming languages, the complex syntax, learning a new language every time the old one becomes obsolete, juggling with upskilling and whatnot. Well, the overlords have their prayers in 1991, when Python was first introduced, and since then its popularity has gained momentum amongst developers and engineers as it is easy to read, learn, and implement. In this blog, I will highlight why you should learn this language, the opportunities that a career in python offers, and how you can start a promising career with this language. Why Should You Learn Python? Well, for starters ( as already mentioned ), the syntax is super easy to understand and implement, and shorter codes can deliver designs better than other languages. If this wasn’t enough the language is extremely compatible with trending tech domains such as Artificial Intelligence, Data Analysis, Machine Learning, etc. which has added stars to its shining armor. Additionally

Top 4 Workforce Management Challenges You Need to Watch Out

Workforce management, as a concept, is a process that measures the effectiveness of resources strategically, a concept that can be the secret ingredient in a successful project.  But why is it important? Every project manager is well aware of the shapeshifting nature of projects, especially for companies providing professional services to their customers, the on-time delivery is of vital importance. However, the on-time delivery of these services without exceeding the allotted budget is badly impacted in case the resources aren’t utilized properly. When it comes to resource management, relying on your whim and hunch might not be the most sensible way which is why being well-aware of the challenges associated with it is extremely important.    *Image by Vectorjuice Let’s dive in! Challenge 1: Monitoring Employee Productivity Keeping a tab on the workload of every employee in the company is a head-scratcher, but why do I need to do it? Well, for starters, monitoring team productivity and
 https://www.linkedin.com/in/heebatullah-beg-22a468114/  https://www.facebook.com/heba.beg  https://www.instagram.com/hebabeg/