What Your Marketing Mix Is Really Sending Into Your Demand Funnel
Demand creation is...well...demanding. Marketing teams are often responsible for the majority of demand creation activities and tactics. That responsibility translates into pressure; pressure to ‘fill-the-funnel’ with new, high-quality business leads while spending wisely and showing measurable results.Adding to the chorus of pseudo-sympathetic violins, let’s layer on the complexity of creating demand for a relational (i.e. account-based) sales model which lacks the immediate performance feedback of a transactional sales (direct response) model.Marketer or Firestoker?
Combine the above with the other strategic and operational challenges within the demand function and you’ve got an all-consuming marketing environment...eagerly snatching up resources. As such, marketers can quickly become the boilerman tirelessly (and sometimes blindly) focused on feeding fuel into a hungry sales engine.
[Note: steam train metaphor comes from watching an inordinate amount of Thomas the Tank Engine lately.]The Problem | Funnel Blindness - A Symptom Of Demand (hyper)CreationWith so much focus on demand creation, marketers can lose strategic visibility into what their demand engine is actually producing. However marketers, responsibly looking for a quantitative measure of their efforts, often turn to funnel metrics to provide key insights. Don’t get me wrong, I enjoy demand funnel and waterflow metrics as much as the next marketer, but they are aggregate measurements. As a consequence, these metrics - taken without other analytical perspectives - run the risk of carrying aggregate-analysis bias.Don’t Go Chasing Waterfalls (Seriously)
Again, thinking about demand creation for a relational or account-based selling model, we need more than just aggregate views of our funnel; massed numbers of inputs (leads), transitions, and outputs (opportunities/deals) only lead to general theories...not causal relationships.We cannot optimally refine the strategic components of our marketing mix, message, or market approach with aggregate metrics.The results we see in our ‘funnel math’ are directly related (with statistical significance) to the attributes, contexts, and motivations of the leads (and their associated inquiries) we feed into the top of the funnel. That’s no surprise...and certainly not worth of a post (or your click)...but it is hard to measure.The Inquiry Taxonomy - A Solution For Funnel Blindness
I developed the ‘The Inquiry Taxonomy’ to provide the necessary level of visibility and provide actionable insight into our demand funnel fuel.The Inquiry Taxonomy is a simple but wildly insightful piece of analysis that organizes inquiries into key, actionable classifications.
How It Works
Quite simply, an Inquiry Taxonomy identifies the type of leads your demand activities have generated and visually aligns them to a position within a buying or sales cycle.
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Making It Actionable
Moving this analysis beyond a pretty visual, there are two key outcomes from this taxonomy analysis:
- Mix Effectiveness - Visual representation of your marketing mix which can be easily rationalization against your goals and objectives.
- Demand Management - Each key endpoint of the taxonomy is an area for specific operational focus for driving targeted groups further into your sales/buying funnel (e.g. tactics like nurture, tele-qualification, and targeted content.).
Within these key outcomes we have information that can be immediately actioned with our marketing and sales processes...and actioned with extremely valuable context (e.g. customer versus prospect messaging).
Give it a try and let me know how the tool works/doesn’t work for your particular industry, organization, or marketing culture.









