Plant managers will not operate a production line when they do not know how much of their output is being lost. Manufacturers utilize Overall Equipment Effectiveness (OEE) to identify losses in availability, performance, and quality.
In the same way, manufacturers should also evaluate marketing using similar logic. Visualize a campaign that generated 20,000 views, 500 website visits, 25 inquiries, 6 meetings, 2 proposals, and 1 customer. At first glance, these numbers may suggest the campaign was successful.
Find the Marketing Bottleneck
However, the conversion percentages show the true results. Rather than praising the campaign's success based on the number of views generated, marketers need to assess where potential customers disappear. Are the views generating website visits? Is the message reaching the right target audience? Are website visitors generating leads? If not, is the problem the website, offer, or call to action? Why aren't qualified leads converting into proposals? Where is the disconnect within the sales handoff process?
This has nothing to do with taking the OEE equation and applying it to marketing. Rather, it is about utilizing the manufacturing mindset associated with OEE: measuring every level of the process, identifying the largest opportunity for improvement, and improving the process.
Each lost prospect represents another piece of data that can indicate a future opportunity to improve. Manufacturers would never disregard a bottleneck on their production floor. Why should marketing disregard a bottleneck in the funnel?
Illustrative conversion path
The table below uses the article’s hypothetical numbers. Each percentage shows conversion from the previous stage; views are the baseline.
| Stage | Volume | From previous |
|---|---|---|
| Views | 20,000 | Baseline |
| Visits | 500 | 2.5% |
| Inquiries | 25 | 5% |
| Meetings | 6 | 24% |
| Proposals | 2 | 33.3% |
| Customers | 1 | 50% |
Conversion rates alone cannot identify the highest-value bottleneck. Lead quality, economics, and the context behind each stage determine where improvement matters most.
Practical action: Track each stage, investigate why prospects stop, and test one improvement.
