528 end-user organizations were surveyed in December and January to examine how they deployed their sales intelligence. The report lists the following three key performance criteria used to distinguish the sales teams within Best-in-Class companies:
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Peter Ostrow, Aberdeen Research Director and author of the report, identifies the implementation of automated sales intelligence “push” as a major factor in whether or not companies are successful. The report’s findings indicate that only 43 percent of Industry Average performers engage in some form of automated push. These companies are 28 percent less likely than the Best-in-Class to “recognize the value of empowering sales staff with customer, prospect and market intelligence that essentially ‘appears before their eyes’ when the related CRM or SFA record is opened,” writes Ostrow.
“The successful companies are integrating a push technology,” says Ostrow. “When I, as a sales rep or manager, log onto my email or CRM tool or mobile versions of sales related applications, I’m seeing relevant information and not just names and phone numbers. That allows me to sell a lot smarter because I’ve gained the pertinent data about my prospect, customer or industry niche.”
The nature of desired sales appointments delivered as leads to companies by external providers differed between the maturity classes, the report found. Best-in-Class organizations were nearly three times as likely as Laggards to demand sales intelligence with scheduled appointments or conference calls, and Laggards were more than five times as likely than the top performers to settle for leads unsupported by data regarding the target company, individual or market.
Ostrow also writes that future Best-in-Class CRM budget dollars will most likely be focused on Software-as-a-Service (SaaS) deployments, as 59 percent of top performers, versus 35 percent of Laggards, anticipate spending additional budget on hosted CRM technologies.
“On-premises CRM deployment projects will be favored by Laggards at a 45 percent rate,” the report states, “nearly twice the 23 percent reported by the Best-in-Class, and thus do not represent as likely a path to success in the context of using sales intelligence to achieve smarter selling.
The report lists “Required Actions” to see sales improvements for each defined subgroup.
Laggard companies should:
Industry Average companies should:
Best-in-Class companies should:
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Amarnath Gupta is a visionary digital transformation leader with over two decades of experience guiding Fortune 500 organizations through enterprise-wide innovation. He has built and scaled Microsoft Dynamics 365 practices into $7.5 million revenue engines, rescued high-risk global implementations, and delivered 35 percent operational efficiency gains, 40 percent faster go-lives, and 30 percent cost optimizations across industries from manufacturing to healthcare and construction.
His passion for marrying deep technical command in Dynamics 365, Azure AI/ML, and Power Platform with strategic P&L governance has spawned proprietary IP solutions like JewelPro™ and OmniClaim Sentinel™. A catalyst for modern AMS frameworks, he leverages predictive KQL analytics and intelligent support automation to slash incident resolution times by 30 percent and cut costs by up to 30 percent.
Amarnath writes about practical strategies for data-driven decision making, end-to-end ERP/CRM implementation best practices, and the future of cloud-native architectures. His work empowers readers to transform underperforming units into high-growth engines while embedding Agile/DevOps and Zero Trust security into every layer.
Amarnath Gupta is a visionary digital transformation leader with over two decades of experience guiding Fortune 500 organizations through enterprise-wide innovation. He has built and scaled Microsoft Dynamics 365 practices into $7.5 million revenue engines, rescued high-risk global implementations, and delivered 35 percent operational efficiency gains, 40 percent faster go-lives, and 30 percent cost optimizations across industries from manufacturing to healthcare and construction.
His passion for marrying deep technical command in Dynamics 365, Azure AI/ML, and Power Platform with strategic P&L governance has spawned proprietary IP solutions like JewelPro™ and OmniClaim Sentinel™. A catalyst for modern AMS frameworks, he leverages predictive KQL analytics and intelligent support automation to slash incident resolution times by 30 percent and cut costs by up to 30 percent.
Amarnath writes about practical strategies for data-driven decision making, end-to-end ERP/CRM implementation best practices, and the future of cloud-native architectures. His work empowers readers to transform underperforming units into high-growth engines while embedding Agile/DevOps and Zero Trust security into every layer.
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