From Selling Power, by Ganesh Shankar
In a recent survey of sales professionals, we found that a staggering 84 percent of companies are still using manual processes for RFP responses.
The reality is, the burden on internal resources can increase quickly when you take on an RFP. If gathering critical answers for your RFP response is more about begging for help rather than tapping into an efficient flow of information, it may be time to take a hard look at your RFP processes.
The problem with manual-based processes often comes down to an inability to make effective use of previous answers. Files are spread across disjointed and disconnected systems. Even when they are organized, manually hunting through thousands and thousands of answers quickly becomes an exercise in frustration.
Finding answers to common RFP questions
Odds are, many questions included in RFPs have already been asked countless times. Being able to find and reuse quality, up-to-date content can relieve quite a burden on key stakeholders, as they won’t have to spend cycles researching and answering repetitive questions. Ideally, when you come to them for help, you already have relevant answers in hand for them to quickly review and refine.
One company that upgraded from their manual RFP processes was MasterControl, a supplier of quality and compliance-control software in a highly competitive market involving many RFP and security questionnaire responses. To stay ahead of the curve, MasterControl decided the time had come to devise a faster and more efficient RFP process. The firm started by assigning the task of evaluating the proposal response processes to an analytically-minded sales operations professional.
His research showed it took the company 32 hours, on average, to complete an RFP response. In 2017 alone, the company answered more than 100 RFPs, at an estimated total cost of $3,200 each – a more than $300,000 hit to the bottom line. The actual cost across the entire organization was likely much higher.
After evaluating a range of alternatives, MasterControl turned to cloud-based response management software that incorporates a centralized answer repository combined with artificial intelligence (AI) capabilities. When responding to imported RFP questions, the AI tool automatically populates the best-fit response directly from an Content Library. By typing one or two keywords into the search bar, potential answers instantly populate – saving time manually hunting through thousands of documents and answers.
Through using such a response management platform, MasterControl was able to reduce required staff cycles when responding to RFPs by an impressive 40 percent. Additionally, as resource costs decreased, the company was able to free up budget and staff time for other business initiatives.
Although cloud-based response management technology is still emerging as a product segment, a growing number of companies like MasterControl are finding that it allows them to reduce their RFP response times and increase efficiencies. What’s more, using an adaptive learning engine means that, as companies respond to RFPs, their Content Library grows in scope and scale. With more content and scenarios on tap, recommendations become more precise and the RFP response process becomes that much more efficient. The response solution can also support other aspects of the business, such as completing lengthy security questionnaires.
Each year, some part of your revenue may come from how well you respond to RFPs. That means it’s worth your while to find ways to explore technology solutions that can help you improve your chances of winning new business while also lowering costs related to producing RFPs.