Why Cygnal?

Cygnal Group Clients

Advanced Sensor Technologies
Allscripts
AMCOL / Asia Minerals, Global Paper
Ameri-Co / Carriers, Logistics
American Waterworks Association
Allstates
America Transport Systems
Arysta Life Science
Aviat Networks / Harris Stratex Networks
BFI Canada
Blakeman Transportation
CarQuest
Castle Worldwide
The Channing Bete Company
ChemWare
Choptank Transport
CIRCOR
Comcast / Business Services
Comverge
Consonus Technologies
Cott Systems
Criterion Brock
CRST Logistics
Daiichi Sankyo
DART Advantage Logistics
DealerTrack
Delta Systems
Dur-A-Flex
Elsevier / CDS Group
Elster / Solutions
ETS / Prometric
Flynn Transportation
Franklin Street Partners
Genomic Solutions
GXS
HD Supply
Ingram Entertainment
Integrity Logistics
Invensys / Eaton
Irving Oil
JH Rose
Kalsec
Kingsgate Transportation
Magnet Street
Meritech
Misys Banking
Packsize
PDI - Ninth House
Roehl Transport
Roofing Supply Group
Rose Paving
Red Hat Software
Sensus / Metering Systems
Scholastic Publishing
SDI / Verispan
Solae
Standard & Poor's / Capital IQ
SunGard / Financial Systems
SunGard / Higher Education
SunTech Medical
Talecris
Taylor Distributing
Tellabs
Thomson Learning
Trinity Transport
Unifi
Valassis
Viewpointe
Waste Management

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.