We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Selling to enterprises
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Selling to enterprises
Uncategorized

Selling to enterprises

ChrisDixon
ChrisDixon
4 Min Read
SHARE

For some reason when you are selling information technology, big companies are referred to as “enterprises.” I’m guessing the word was invented by a software vendor who was trying to justify a million-dollar price tag. As a rule of thumb, think of enterprise sales as products/services that cost $100K/year or more.

I am by no means an expert in enterprise sales. Personally, I vastly prefer marketing (one-to-many) versus sales (one-to-one), hence only start companies making consumer or small business products (advertising based or sub-$5000 price tags). But I have been involved in a few enterprise companies over the years. Here’s the main thing I’ve observed. Almost every enterprise startup I’ve seen has a product that would solve a problem their prospective customers have. But that isn’t the key question. The key question is whether it solves a problem that is one of the prospective customer’s top immediate priorities. Getting an enterprise to cough up $100K+ requires the “buy in” of many people, most of whom would prefer to maintain the status quo. Only if your product is a top priority can you get powerful “champions” to cut through the red tape.

My rule of thumb is that every enterprise (or large business unit within an enterprise) will, at best, buy 1-3 new enterprise products per year.  You can have the greatest hardware/software in the world, but if you aren’t one of their top three priorities, you won’t be able to profitably sell to them.

More Read

NIEMNTE – Vivek Kundra, US CIO on Data Sharing and Quality Issues
Slouching Toward Creepiness: Analyzing Human-Computer Interaction
Mok Oh: To Do Data Science, You Need a Team of Specialists
Not So Strange Case of Dr. Technology and Mr. Business
Data Quality Predictions for 2015

One final note: enterprise-focused VC’s sometimes refer to products priced between (roughly) $5k and $100K as falling in the “valley of death.” Above $100K, you might be able to make a profit given the cost of sales. Below $5k you might be able to market your product, hence have a very low cost of sales. In between, you need to do sales but it’s hard to do it profitably. Your best bet is a “channel” strategy; however, for innovative new products that is often a lot like trying to push a string.

Link to original post

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up -- AI-generated illustration
Best Age Estimation Software in 2026: Which Facial Age Providers Actually Hold Up
Artificial Intelligence Exclusive Machine Learning
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026 -- AI-generated illustration
Top 8 Multi-Cloud Architecture Tools for Automated Infrastructure Design in 2026
Cloud Computing Exclusive IT
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations -- AI-generated illustration
6 Top Agentic SDLC Platforms for Enterprise Engineering Organizations
Artificial Intelligence Exclusive
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026 -- AI-generated illustration
6 Best Runtime Intelligence Tools for Debugging AI-Generated Code in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

The Case for Digital Transformation

6 Min Read

Microsoft Business Intelligence Vision and Strategy Slides

1 Min Read

Good-bye, Washington!

4 Min Read

Push vs. Pull Supply Chain Models: What You Need to Know

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?