Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Using Sales Intelligence to Boost Revenue
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > Using Sales Intelligence to Boost Revenue
AnalyticsData MiningKnowledge ManagementUnstructured DataWeb Analytics

Using Sales Intelligence to Boost Revenue

orlaithf
orlaithf
6 Min Read
Image
SHARE

ImageIt’s becoming increasingly difficult for businesses to make accurate forecasts about what might happen six months from now. We’re living in a world that is in constant flux and providing accurate projections so that we can adequately plan our sales strategy, assess competitor threats and anticipate changes in consumer behavior is a perpetual challenge.

ImageIt’s becoming increasingly difficult for businesses to make accurate forecasts about what might happen six months from now. We’re living in a world that is in constant flux and providing accurate projections so that we can adequately plan our sales strategy, assess competitor threats and anticipate changes in consumer behavior is a perpetual challenge.

Navigating today’s turbulent business landscape requires the ability to adapt quickly to changing market opportunities and complex sales cycles. The pervasive use of social media tools like Twitter and Facebook has changed the dynamics of the buyer/seller relationship and heralded a revolution in consumer behavior. Our online interactions are fuelling the explosion in the knowledge economy and these social exchanges play an increasingly influential role in brand affinity and purchasing decisions. The lack of control in the sales cycle is a by-product of this changing business landscape. The linear sales process is no longer suited to attracting and retaining loyal customers in today’s competitive sales environment.

More Read

Brains and Databases: An Obsession with Time Keeping
Next Gen Research Ad Measurement
Social Networking, as seen by The Economist
Adverstise on Data Mining Research
Analytics In A Global Recession: Fixed Price Operational Dashboard

According to Robert Safian, editor of Fast Company, “The business climate, it turns out, is a lot like the weather. And we’ve entered a next-two-hours era. The pace of change in our economy and our culture is accelerating–fueled by global adoption of social, mobile, and other new technologies–and our visibility about the future is declining.” He points to the constantly shifting sands of the global mobile phone market as evidence of this tireless creation and destruction cycle. “Just five years ago, three companies controlled 64% of the smartphone market: Nokia, Research in Motion, and Motorola. Today, two different companies are at the top of the industry: Samsung and Apple. This sudden complete swap in the pecking order of a global multibillion-dollar industry is unprecedented.”

It should come as no surprise that sales professionals are struggling to keep up with the frenetic pace of change. In a 2010 survey conducted by OgilvyOne among 1000 sales professionals in the US, UK, Brazil and China, 68% believed that the selling process is changing faster than their own organizations are adapting to it. There is a growing knowledge gap that needs to be bridged to ensure that sales professionals have all the information they need at their fingertips in order to respond appropriately to customer needs and demands. Companies need to better equip their salespeople with the necessary tools and training to meet this new reality or face diminishing sales and loss of revenue.

The ability to automatically monitor and extract information flowing from an unlimited number of web sources such as news sites, discussion forums, social networks and even the ability to analyze the minutes and agendas from council meetings or examine newly uploaded pdf files on your competitors websites – these are just some of the exciting developments that companies are starting to leverage. For example a Sales manager from Philips in charge of selling global lighting systems to equip buildings would be interested in monitoring public tender websites to identify new sales opportunities.

The future of selling is one which relies on targeted sales intelligence, similar to the way Amazon recommends books to you based on your purchase patterns. Once companies learn to harness this information correctly, the insight it will provide to frontline sales teams will reap huge rewards. Wal-Mart, the world’s largest retailer, is logging one million customer transactions per hour and feeding information into databases estimated at 2.5 petabytes in size. In order to predict or at least anticipate changes in customer sentiment, it’s imperative that sales professionals have access to the latest market data at the click of a mouse. The idea is not to overburden sales professionals with massive amounts of information but to package important data into valuable and intuitive insights to speed up sales cycles and ensure better outcomes. The secret to winning more customers begins with empowering your sales executives with all the information they need to close that lucrative sale.

Benefits of using intelligence to improve the sales process:

  • Receive detailed competitor product descriptions
  • Benchmark sales performance against competitors
  • Enable narrow segmentation of consumers to provide more tailored solutions
  • Measure online reputation and analyze consumer sentiment
  • Achieve faster sales cycles and better results
  • Target resources more efficiently
  • Profile potential customers and identify upselling opportunities
  • Assess opportunities and threats in new and existing markets

This article was originally posted on Digimind’s web intelligence blog.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

HR Analytics
Data MiningData VisualizationDecision ManagementKnowledge ManagementRisk ManagementWorkforce AnalyticsWorkforce Data

Workforce Planning and HR Analytics

5 Min Read

Decide.com – New Search Ideas for Unstructured Data

1 Min Read
big data analytics in business
Analytics

5 Ways to Utilize Data Analytics to Grow Your Business

6 Min Read

Today’s Biggest Success Tip: Predictive Analytics Using Big Data

2 Min Read

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

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

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?