Are you a sales manager with Big Data? Here are three Predictive Analytics examples for B2B
With predictive analytics, big data becomes a big opportunity for B2B sales managers. This significant opportunity requires, however, a profound understanding of the sales situation, coupled with an understanding of big data mining models available.
How Predictive Sales is Transforming the KPIs You Must Be Measuring
A straightforward question: is your sales team using the same sales performance KPI they did five years ago? If your answer is yes, you better watch out, you might not be using the right KPIs.
Of course, sales per quarter and sales quota attainment are still sensible KPIs to measure. However, total revenues or sales vs quota are lagging indicators. They are “slow KPIs” in the nowadays dynamics B2B sales world. They come way too late.
Pricing in B2B: will AI replace salespeople?
When will AI replace Sales Jobs in Pricing, and what can you do about it.
Will AI replace sales jobs? Short answer: no. Long answer: it depends.
Artificial intelligence replaces skills and tasks, not people. While AI for sales might be overhyped now, it still follows known rules of innovation. If some technology takes decades to change the way we work, it cannot be considered disruptive. Advances in AI are slowly eroding the bulk of manual pricing processes.
Lead management top, customer management flop?
How can your B2B sales team take fact-based decisions faster using your CRM and ERP data?
B2b companies are investing in modern lead management. The focus is on the online channel.
Modern lead management with a well-thought-out lead strategy, consistent lead evaluation and prioritisation and powerful tools ensures that marketing resources are used efficiently and effectively in marketing.
What happens once leads have become customers?
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Data Mining in ERP for Sales - All About It!
ERP Data Mining: what we learnt from analysing 100 million of B2B sales transactions.
Data mining is the application of a varied assortment of statistical techniques to ERP datasets. Companies nowadays use data mining to predict outcomes, identify sales trends, prevent customer churn, and dynamically adjust pricing strategies.
Mining enterprise resource planning (ERP) sales data is critical in Business-To-Business, where small improvements in sales efficiency can have a significant impact on results. Mining ERP sales data helps customers to unlock a significant amount of value, discover quick-wins, and to prioritise their sales activities. Automatizing this process is possible today with the help of artificial intelligence (AI).
E-commerce trends: why German wholesalers are the next victim of e-commerce
B2B E-commerce in Germany keeps growing – good or bad news?
The Business-to-Business wholesale trade in Germany and the world has changed considerably over the last years and has proven to be exceptionally flexible. It is under a growing threat, nevertheless.
Several trends underpin its transformation. New forms of industrial distribution are emerging, and big manufacturers offering e-commerce are choking the middle-guy. Wholesalers are creating tangible value for their customers while providing new services, not only logistic ones.
Why Projects using AI in B2B Sales fail and yours will too
Successful organizations do not underestimate the complexity and hidden costs of artificial intelligence (AI) projects.
Artificial intelligence (AI) for sales has become an arms race. Correctly employing it will separate the winners from the losers in Business-to-Business (B2B). There are, however, very high chances that your AI project will not deliver the promised ROI or will ultimately fail.
How to avoid the Causality Trap of Black-Box Machine Learning
Sales Acceleration with Predictive Analytics Software: How to avoid The Causality Trap of Black-Box Machine Learning.
Successful B2B managers use AI-based predictive analytics software to accelerate sales. However, they often want to find for themselves what the characteristics of their main profitable customers and leads are.
You know this situation well. You want to predict success. You would like to create a set of rules that your sales team can follow to avoid customers from churning or to find hidden sales opportunities. Why cannot your AI sales software do that?
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How the corona crisis will change pricing management in B2B forever.
B2B pricing strategies are experiencing a radical transformation in manufacturing and wholesales.
One of the surprising by-effects of the 2020-2021 pandemic is that employing dynamic pricing software has become unavoidable for manufacturing and industrial distribution companies.
A pricing analytics software supports B2B sales teams by providing accurate pricing prediction. Best-in-Class software usually delivers exceptional performance, reflecting the current market situation and historical developments.
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How to define customer churn in B2B?
B2B Churn Rate: Definition and Calculation.
Business-to-Business (B2B) companies depend on building and developing long-term relationships with their customers to be financially successful.
However, over time, some customers will stop buying or will defect to the competition. Sales managers define this situation as “churn” or “customer attrition”. Managing and reducing customer churn is one of the most important, yet sometimes overlooked job of the sales leader.
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