My answer: Yes and that’s actually how CRMs were originally designed. When Tom Siebel first invented CRM it was sold to the execs at large cap companies as a way to force the sales team to enter information so the execs would know if their forecast was changing due to discounts by the sales team or changes in interest, etc. CRMs were effectively sold using sticks instead of carrots.
Marc Benioff then brought that model from on-premise to software-as-a-service, and while they started with what was essentially a boiler room full of sales folks calling every small business in the country, they quickly moved up stream to the enterprise.
Technology continued to evolve and it became possible to automate some of the data entry that CRM originally required to be manually entered. It also became much easier to develop software, so the number of CRMs in the marketplace ballooned.
Many of those newer CRMs started claiming that their version of CRM would actually increase your productivity. This was an unfortunate mistake made by many a CRM marketing department. Why? Because every time it ultimately proved to be a lie. The biggest issue with the productivity claim is that it if it were true, then the per-user adoption rate for any given account would have skyrocketed. When in fact, per-user adoption rate within accounts today remains about the same (if not lower) than it was a decade ago. Low adoption has been blamed on training, though lack of training is often a scape goat which covers up the real issue - that most CRMs are in fact too complicated and CRM is not actually a productivity tool.
We at VipeCloud - All In One CRM take a different approach to this topic of complexity. Our goal is to get out of the way of the sales person, while also relieving management from the headaches of supporting an overwhelming number of sales and marketing software systems. When multiple systems are under the same roof, leveraging the newest technologies to automate manual entry where possible, the data flows more smoothly which ultimately reduces complexity.
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