70% of B2B Marketers Now Responsible for Driving Revenue, 6sense Survey
70% of B2B Marketers Now Responsible for Driving Revenue, 6sense Survey : The results of a new survey of 321 US-based B2B marketing professionals found that 70% of B2B marketers report that they are measured on the amount of revenue generated from their marketing and lead generation campaigns. According to the study, 60% of the respondents say they are measured on quality as evidenced by the number of leads that their sales teams accept, and 70% of marketers report they are measured on the quantity of leads they generate. Yet a majority of those surveyed report that their sales teams reject 80% of their leads.
Only 31% of marketers report that they are currently using predictive analytics to improve lead conversion rates and attribute marketing activities to actual revenue. Of those using predictive, 83% have been using predictive analytics for less than two years. Of those who are not yet using predictive analytics, 54% are planning to invest in the next 12-36 months.
Of the companies that are using predictive analytics today, respondents are mostly using firmographic and demographic data and content engagement on their websites to qualify prospects. That data includes:
• Recent website activity (downloads of content, email clicks, etc.) – 76%
• Buyer profile information (title, job role, contact info, etc.) – 73%
• Company profile information (industry, company size, company location, etc.) – 67%
The data currently collected by most predictive vendors does not always align with what marketers say their top priorities and needs are for predictive analytics which include:
• Identifying new prospects – 51%
• Improving campaign metrics through more personalization based on buying stage – 48%
• Knowing where prospects are in the sales funnel – 43%
• Knowing more about which products my prospects are reviewing - 42%
"It is clear from these survey results that, more than ever before, marketers are on the hook for ROI, and their needs go beyond what most predictive solutions have been offering," said Amanda Kahlow, CEO and Founder of 6sense. "Understanding timing and getting more visibility into buyers is what will solve this issue – and that requires time-sensitive, unstructured activity data on a mass scale. Predictive solutions that simply rank and score leads based on ideal buyer 'fit' or static data -- company and contact attributes -- and limited engagement with a company's content assets are missing the billions of external buying signals proven to increase the accuracy of predictive models. These static attributes tell you if the contact and company is the right buyer, not if they have a need for your product now. Timing isn't everything. It's the only thing."
6sense's mission is to provide leading companies with 100 percent visibility into buyers, enabling competitive dominance in their markets. 6sense is the central nervous system powering all marketing, sales and business operations teams. 6sense predicts who will buy what products when and where they are in the buyer's journey. The company's predictive intelligence platform helps B2B marketing and sales leaders uncover net-new, in-market prospects based on powerful data science and billions of time-sensitive intent interactions.
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More Information on Predictive Analysis Process
For more information of predictive analytics process, please review the overview of each components in the predictive analytics process: data collection (data mining), data analysis, statistical analysis, predictive modeling and predictive model deployment.