PIA Sets the Table --Dickeson
Third, the table says that, on average for the past 10 years, our industry has uniformly priced its products and services at 2.7 to 2.8 times DOAs (Direct Order Additives). It doesn't matter whether it's the top quartile of companies reporting or the lower three-fourths. Is this suggesting that expensive computerized price estimating systems aren't all that advantageous?
Three glittering coins in the value-added fountain: 1) constancy for both quartile groups for 10 years. 2) identity of value-added as a ratio of manufactured sales for both groups during the time span, and 3) 2.75 times DOAs pricing for the entire data set.
Am I misreading the data? Are the numbers incorrectly reported? Most unlikely. Why haven't we noticed this before? Perhaps it's because we never viewed the data as a time series until now.
Let's try another course. This is where you do the work. List your manufactured sales by year for the last 10 years. Deduct your DOAs (Direct Order Additives) for each year to find the value-added. Divide value-added by manufactured sales to compute your VA margin percent. Look at the data as an internal benchmark. Compare it with the 63-64 percent of the 10-year PIA Ratio Study table for an external benchmark view.
Subtract your VA margin percent from 100 percent to determine your DOA percent. Divide the DOA percent into 100 percent to find the number of times you're effectively multiplying DOAs for a selling price. You've now provided a VA margin percentage and a materials multiplier to establish your marketing price position.
Forget price estimating for the moment. Click on Excel and list the invoiced selling price for print manufactured jobs for a month, quarter or a year (your call). Deduct the DOAs for each. Compute the VA, VA margin and materials multiplier for each job. Sort from high to low on VA, margin or multiplier. What do you learn about your pricing from this internal benchmarking? Now sort by salesperson, product type, run lengths, binding type, ZIP code or whatever property may provide decision support insight for you. This is pragmatic marketing analysis.