CRM for Sales is a dead-on-arrival product.
Minoji Thomas
Brand Marketer | Customer Engagement Leader | Customer Success | Strategic Accounts leader
About 70% of CRM implementations fail right at the initial phases. Even those that do get implemented are often plagued with data errors and process gaps, rendering the output irrelevant. In addition, for the sales team that is expected to capture most of the first-party data, the tool provides no help.
Why is the current CRM not useful for Sales teams?
Firstly, it has been designed based on the one-dimensional data flow of previous times, rendering it outdated and not relevant to the modern sales process. Additionally, the data structure is fixed, making it difficult to adapt to changing needs without extensive customization. The sales stage definition is also rigid, particularly in the lead-to-opportunity conversion phase, where maximum support is required. Furthermore, there is a lack of context-sensitive information from other public sources such as news, company publications, and blogs that could assist the sales team in their progress. (Chat GPT is a better tool here). Finally, on the technical front, all CRMs require complex integration with backend enterprise apps, reducing the return on investment (ROI).
What can fill the gap?
An offering is needed to help the sales team improve productivity and help meet their quota, track progress, capture interactions, and in general create internal visibility of the revenue pipeline. The current offerings don't work. There are discrete systems that enable each area but most come out as half steps for a long March rather than an integrated enabler.
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Below are some suggested capabilities for such a tool, categorized based on the source of information.
Based on information available within an Org:
Based on information available in the public domain.
Most of this is currently missing in a CRM offering for Sales. So there is a need to create a “sales pipeline management tool”.
A sales pipeline management tool is urgently needed to improve the sales process, user experience, and decision-making for the sales teams and leaders. The tool should prioritize being user-friendly while ensuring data accuracy and completeness. "Easy on the users, hard on the data" should be the guiding principle for its development.
Vivek Khare Bharath Patil Sandeep Mohankumar Krishna Gopal