Infographic: Visualizing the World of Sales Technology
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Visualizing the World of Sales Technology

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World of Sales Technology

Visualizing the World of Sales Technology

“Always Be Closing.”

This infamous phrase was popularized in the 1992 film Glengarry Glen Ross, and has become a mantra among fervent salespeople.

While sealing the deal is always the ultimate goal, salespeople actually spend the majority of their time on other tasks like generating and nurturing prospects, following up with customers, and finding new sales opportunities. For this reason, nearly three-quarters of sales professionals rely on technology to do those less glamorous tasks faster and more efficiently.

Today’s graphic from Raconteur shows the value of technology in today’s sales world and how artificial intelligence (AI) technology ultimately helps sales reps win more business.

Artificial Intelligence in Sales

Globally, 40% of salespeople use or are implementing AI technology into their workflows to automate or streamline sales.

AI-based sales technology helps to:

  • Identify the best leads to target using past customer data
  • Improve the quantity and quality of leads
  • Increase omnichannel customer engagement
  • Personalize customer information in real-time
  • Automate sales tasks such as contact information data entry

Using AI tools could mean the difference between closing a deal or losing a prospect.

Companies that automated their contact form responses, for example, saw a 71% increase in open rates and a 152% increase in clickthrough rates.

Growth of Sales Technologies and Tools

With at least two dozen major sales tech segments projected to grow in the next few years, five technologies stand to gain the most traction.

1. Account and Opportunity Planning

Refined data from past and existing customers offer valuable insights on which future prospects to target. Using these insights and other key data (company lists), sales intelligence tools can create custom search criteria to narrow down the best leads to approach.

These tools merge seamlessly with analytics, marketing, and data management to prevent information silos within a company.

2. Sales Methodology/Workflow

Customer relationship management (CRM) is now the fastest-growing software sector in the world. The CRM market is expected to double from $40 billion in 2019 to $80 billion by 2025.

Salespeople can use tools like Salesforce to manage leads and customers effectively and even assist other internal teams with more personalized customer interactions, such as customer service.

3. Content Management

In this information-rich age, companies are expected to keep customer information secure. Content Management Software (CMS) such as Confluence or Paperflite allows sales teams to instantly organize, collaborate on, and distribute internal documents and resources with one another to maintain up-to-date files.

4. Prospect Engagement Management

Customers want products and services tailored to their specific needs and desires. Many companies using a series of personalized emails to welcome or re-engage online customers found they could close 75% more in sales.

5. Online Training and Coaching Delivery

With new technologies, more nuanced client data, and shifting public perceptions of brands, top salespeople are seeking out efficient methods to maintain their skills. This helps them to better connect with prospects and manage sales pipelines.

Technology in the Sales Workflow

Top sales professionals have weighed in—sales technology platforms and tools are invaluable to their success. An overwhelming majority of salespeople use these tools every day:

  • 98% use sales intelligence solutions that provide insight and automation.
    Examples: InsideView, Nimble, Clearbit
  • 94% use collaboration tools to keep their finger on the pulse of sales activities.
    Examples: Wrike, Basecamp, Slack
  • 92% use email tracking tools to track campaigns and conversions.
    Examples: Ebsta, Clearslide, Hubspot Sales

Using more refined software tools, salespeople are able to make better-informed decisions about which prospects to nurture and which ones to grow organically.

And as Glengarry Glen Ross reminds us: “Coffee’s for closers only.”

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Infographic: Generative AI Explained by AI

What exactly is generative AI and how does it work? This infographic, created using generative AI tools such as Midjourney and ChatGPT, explains it all.

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Generative AI Explained by AI

After years of research, it appears that artificial intelligence (AI) is reaching a sort of tipping point, capturing the imaginations of everyone from students saving time on their essay writing to leaders at the world’s largest tech companies. Excitement is building around the possibilities that AI tools unlock, but what exactly these tools are capable of and how they work is still not widely understood.

We could write about this in detail, but given how advanced tools like ChatGPT have become, it only seems right to see what generative AI has to say about itself.

Everything in the infographic above – from illustrations and icons to the text descriptions⁠—was created using generative AI tools such as Midjourney. Everything that follows in this article was generated using ChatGPT based on specific prompts.

Without further ado, generative AI as explained by generative AI.

Generative AI: An Introduction

Generative AI refers to a category of artificial intelligence (AI) algorithms that generate new outputs based on the data they have been trained on. Unlike traditional AI systems that are designed to recognize patterns and make predictions, generative AI creates new content in the form of images, text, audio, and more.

Generative AI uses a type of deep learning called generative adversarial networks (GANs) to create new content. A GAN consists of two neural networks: a generator that creates new data and a discriminator that evaluates the data. The generator and discriminator work together, with the generator improving its outputs based on the feedback it receives from the discriminator until it generates content that is indistinguishable from real data.

Generative AI has a wide range of applications, including:

  • Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery
  • Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another
  • Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Disrupting Industries

People have concerns that generative AI and automation will lead to job displacement and unemployment, as machines become capable of performing tasks that were previously done by humans. They worry that the increasing use of AI will lead to a shrinking job market, particularly in industries such as manufacturing, customer service, and data entry.

Generative AI has the potential to disrupt several industries, including:

  • Advertising: Generative AI can create new advertisements based on existing ones, making it easier for companies to reach new audiences
  • Art and Design: Generative AI can help artists and designers create new works by generating new ideas and concepts
  • Entertainment: Generative AI can create new video games, movies, and TV shows, making it easier for content creators to reach new audiences

Overall, while there are valid concerns about the impact of AI on the job market, there are also many potential benefits that could positively impact workers and the economy.

In the short term, generative AI tools can have positive impacts on the job market as well. For example, AI can automate repetitive and time-consuming tasks, and help humans make faster and more informed decisions by processing and analyzing large amounts of data. AI tools can free up time for humans to focus on more creative and value-adding work.

How This Article Was Created

This article was created using a language model AI trained by OpenAI. The AI was trained on a large dataset of text and was able to generate a new article based on the prompt given. In simple terms, the AI was fed information about what to write about and then generated the article based on that information.

In conclusion, generative AI is a powerful tool that has the potential to revolutionize several industries. With its ability to create new content based on existing data, generative AI has the potential to change the way we create and consume content in the future.

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