Why Cygnal?

Cygnal Group Clients

Advanced Sensor Technologies
Allscripts-Misys
Ameri-Co Logistics
Allstates
America Transport Systems
Arysta Life Science
Aviat Networks / Harris Stratex Networks
Blakeman Transportation
CarQuest
The Channing Bete Company
ChemWare
Comcast / Business Services
Consonus Technologies
Cott Systems
CRST Logistics
Daiichi Sankyo
DealerTrack
Delta Systems
Elsevier / CDS Group
ETS / Prometric
Franklin Street Partners
Genomic Solutions
GXS
Home Depot / HD Supply
Ingram Entertainment
Invensys / Eaton
Irving Oil
JH Rose
Kalsec
Magnet Street
Meritech
Misys Banking
Personnel Decisions International (PDI)
Rose Paving
Red Hat Software
Sensus Metering
Scholastic Publishing
SDI / Verispan
Solae
SunTech Medical
Thomson Learning
Unifi
Valassis

Predictive Modeling

When it comes to predicting the effect of a proposed sales comp plan design, rigorous and thorough modeling is essential. The Cygnal Group’s modeling capabilities include:

Incumbent modeling of the effects on individuals

The effects of the proposed plans on each eligible sales person and sales leader are modeled. If plan measures are the same as in prior years, we answer the question, “What would last year’s performance have paid on the proposed new plan, and how does that differ from historical compensation levels?” If plan measures have changed, we answer the question, “What performance will it take under the proposed plan to keep each person whole vs. historical earnings, and how does that compare to their historical performance?” View a sample incumbent model.

Modeling the aggregate cost of the plans

To model the cost of the proposed new sales complensation plans under a range of likely business performance scenarios, we first answer to the question, “What will the new sales commission programs cost at target?” We then answer the far more useful question, “What will the new plans cost if we have a distribution of performance from under-quota to over-quota based on our historical performance distribution?” We then take the historical distribution curve and “slide” it to higher and lower to understand how the real expected cost of the plans will move based on overall business performance. View a sample aggregate cost model.

We have not yet discovered any problem with the plans during the modeling and testing which caused us to change the basic structure being proposed. However, we almost always discover a few important parameters (e.g., acceleration rates, thresholds) that need to be tuned differently to treat sales people fairly and/or manage the cost of compensation to appropriate levels.

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