Publishing Benchmark – Performance level in the publishing industry. The Schickler benchmark is a realistic top performance level in the publishing industry. It is based on the cumulative experience gained in more than 500 projects in publishing companies. Although our publishing benchmarks are valid internationally, they need to be adapted to national and/or regional market conditions and competition framework.
Schickler Publishing Benchmark Database – Schickler has structured the complete publishing process into value chains and Key Performance Indicators (KPIs). The KPIs cover editorial, advertising and marketing departments as well as digital functions, IT, administration, printing and distribution. For each KPI we have collected, over the past 10 years, best practice examples from some of the world’s best publishers. The database now contains best practice publishing benchmarks for almost every single process in the publishing industry.
Key Performance Indicator for publishers (KPI) – This performance figure indicates the efficiency of a publishing process or department. One example of a publishing KPI is “Direct editorial costs per net page”.
The KPI based controlling process carried out in a publishing house replaces the traditional controlling approach. The advantages are:
The right definition of Key Performance Indicators (KPIs) is of paramount importance. KPIs are always input/output ratios. They should only consider drivers that are under the direct control of the department the KPI is applied to.
Performance Drivers – Key actions with the strongest impact on a publisher’s performance. One possible outcome of a benchmarking analysis is the identification of the differential between a publisher’s own Key Performance Indicators (KPIs) and Schickler benchmarks. The analysis also shows possible actions to close this gap. We call the most powerful of these actions “performance drivers”.
Data Collection Template – Excel based template developed by Schickler to collect and harmonize publishing process data in a structured way. The template contains specific definitions for each data which is needed to calculate the Key Performance Indicators (KPIs).
The data collection template is filled in in three steps: