In marketing automation, Ryan Deiss, co-founder of Digital Marketer, often describes the sales funnel as a multi-step, multi-modality process that moves prospective browsers into buyers. It's multi-stepped because lots must occur between the time that a prospect is aware enough to enter your funnel, to the time when they take action and successfully complete a purchase.
For instance, if you’re selling marketing automation software to a startup, showcase a startup that 10X-ed their leads. If you’re selling the enterprise version of that marketing software, share a case study from another enterprise company. The enterprise case study is too aspirational for the startup, and the startup case study doesn’t work in front of a huge global marketing team.
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Of course, implementing this isn't easy. You need to first develop your stories, then decide on how you're going to convey those stories and at what drip-rate. For example, your first email or two might go out on the day they first signup, then one email per day might go out afterwards. How much of that will be story-based and how much will be pitches?
The sales funnel metaphor is somewhat misleading; in real life, the process never goes as smoothly as liquid down a funnel. In the last decade, digital marketing, artificial intelligence (AI), and CRM have drastically changed the process of converting new leads into customers. Given this, it’s increasingly important that business-to-business (B2B) sales and marketing teams are aligned in their views on a sales funnel strategy and lead generation as a whole.
Unfortunately, the reason why we call it a marketing funnel instead of a marketing journey or marketing waterfall is that not everyone who enters your funnel will end up buying. At each stage in the buying process, you lose some potential customers, but a good marketing funnel will keep those losses to a minimum and produce the maximum number of sales from your marketing.