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: Sales Pipeline Management Dos and Don’ts
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Sales Pipeline Management Dos and Don’ts
Best PracticesBig DataCloud ComputingCRMData VisualizationExclusiveITSoftware

Sales Pipeline Management Dos and Don’ts

ThomasOriol
ThomasOriol
4 Min Read
Image
SHARE

ImageThere are lots of sales methodologies in the market. As the makers of award-winning sales pipeline analysis and forecasting application SalesClic, we are familiar with most of them. Here are, distilled in a list of dos and don’ts, their main prescriptions.



ImageThere are lots of sales methodologies in the market. As the makers of award-winning sales pipeline analysis and forecasting application SalesClic, we are familiar with most of them. Here are, distilled in a list of dos and don’ts, their main prescriptions.



More Read

AI driven marketing
Advances In AI Help Marketers With Live Streaming Video Marketing
4 Disastrous Big Data Mistakes Your Brand is making
Union Pacific Railroad Turned to the Industrial Internet to Stay on Track
Joyent Manifesto -> Enterprise 2.1 -> Piles O’ Lamps
5 Reasons You Should Be Using Cloud Computing in 2018

DO

DON’T

Design and use a proper sales pipeline.

A surprising number of companies use their CRM software as an overblown contact manager, but fail to leverage their sales pipeline management potential. Well, pipeline management starts… with a proper pipeline. Formalize your sales process now! It is not that difficult.

Blindly use a sales pipeline template.

A standard pipeline is better than none, but your sales process should reflect the buying process of your prospects. This is the key to deriving meaningful analyses and accurate forecasts from your sales pipeline. This article provides useful tips for finding the right pipeline stages.

Monitor sales pipeline activity.

There are two types of CRM data quality. The “administrative” type (e.g. proper telephone numbers, correct salutations) and the “economic” type (data that means something from a business perspective). Monitoring pipeline activity helps improve both and increases your visibility on future revenues.

Focus on volume indicators.

The relationship between sales activities and sales process outcome is hard to model. Focusing on volume indicators (e.g. number of phone calls) will give you a false sense of security, unless your sales are mostly transactional (i.e. large volumes, short sales cycle).

Focus your reps on distinct stages of the sales pipeline.

B2B companies with an intense sales effort will benefit from distinguishing the early stages (focused on qualification activities) and the late stages of the sales process (focused on traditional enterprise sales activities). They require distinct competencies, and creating separate teams to handle them will increase overall sales effectiveness.


Create sales and marketing silos.

You should not understand this call for specialization as an incentive to segregate sales and marketing. On the contrary, measuring sales pipeline dynamics will clarify the impact of marketing decisions on sales and create an incentive for sales and marketing to work together.

Watch individual opportunities.

There is really no escaping this traditional aspect of sales pipeline management. Periodic reviews of the opportunities in the pipeline will help you clarify priorities and plan for the weeks ahead.

Neglect pipeline dynamics because of the time spent watching individual opportunities.

Sales reps have a strong loss aversion and will often keep bad opportunities on life support longer than necessary. Assessing individual opportunities in the pipeline’s historical data will help you maximise the return on your “sales portfolio” – often by minimizing the time spent on zombies.

Relate sales forecasting to sales pipeline management.

For most B2B companies, this is the only way to produce meaningful forecasts: their market share is too uncertain for demand forecasting to apply, and their sales volumes are too small for statistical forecasting to work.

Restrict sales forecasting to calculating your weighted pipeline or your coverage ratio.

We very much believe that simplicity often trumps sophistication but these traditional B2B forecasting methods are not reliable. If you can’t leverage the historical data in your CRM database for forecasting, it is better not to use them at all.

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

Image
Best PracticesBig DataBusiness IntelligenceData VisualizationMarketingSocial Data

8 Ways That College Sports Teams Can Use Data to Prove Value to Sponsors

15 Min Read
Virtual Private Servers
Big DataSecurity

Big Data Leads to Better Virtual Private Servers for Small Businesses

5 Min Read
big data with sports
Big Data

Big Data Can Improve Sports Performance

6 Min Read
HR Processes
AnalyticsBig DataWorkforce Data

Understanding The Role of Big Data in HR Processes and Payroll

7 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

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?