Virtual DBS VProfile Penetration Analysis

1. Virtual DBS VProfile Penetration Analysis Company XYZ Nationwide B2B Profile

2. Matching to Firmagraphics: A waterfall report in this context is a summary of what occurs with customer records as they go through the enhancement process (match and append firmagraphics from our multi-source data files). Only matched records can be included in the profiling. For this project, we loaded all customer records and succeeded in matching-and-appending demographics to a statistically significant amount of records, producing strong statistical reliability within the profile. Sample Comparison: The defined universe is based on a nationwide universe dynamically created from your customer base. This universe is based on statistically significant SIC4 Codes. Interpreting the Report: In the following charts Green Bars are a Go and indicate significant over-penetration of customers (index values >115). Yellow bars are Cautionary as they represent slight over-penetration (index values 85-115) yet may be very important predictors when they are combined with other firmagraphics. Red bars are a Stop (index values <85) as they represent areas of under-penetration within the market and do not discriminate customer characteristics from a Consumer Universe. vProfiler version 1.5.4

3. Distribution: This map depicts the geographical representation of your customers based on their geo-footprint provided in the processed file. Heat Map Report

4. Region East North Central: IL, IN, OH, MI, & WI East South Central: AL, KY, MS, & TN Middle Atlantic: NJ, NY, & PA Mountain: AZ, CO, ID, MT, NV, NM, UT, & WY New England: CT, ME, MA, NH, RI, & VT Pacific: AK, CA, HI, OR, & WA South Atlantic: DE, FL, GA, MD, NC, SC, VA, DC, & WV West North Central: IA, KS, MN, MO, NE, ND, & SD West South Central: AR, LA, OK, & TX

18. End: Virtual DBS Vprofile Penetration Analysis Next Steps...

19. Example Slide to Illustrate Possible Predictive Scoring • Predictive Driver Highlights: • Sales Range are most likely to be $500k to $24.99 mm (~9%) with 31% of companies having sales ranges $500k to $4.99mm • The top cities are Grafton, Menomonee Falls, Milwaukee, New Berlin, Pewaukee, and Saint Francis accounting for ~15%. • SIC Division are mostly likely to be Services (~40%), Legal Services (~18%) along with Finance Insurance, and Real Estate (~13%) • Employee Size Ranges are more likely to be 5 to 249 (~64%) along with 50% of customers having less than 50 employees • SIC 2 Descriptions tend to be Engineer, Management Services (~8%), Legal Services (~8 %), Wholesale Trade & Miscellaneous Business Services (~6%) along with Real Estate and Machinery Except Electrical (~5%) • Years in Business tend to be 11+ (~63%)

20. Model Lift Performance by Demi-Deciles Example Slide to Illustrate Possible Predictive Scoring Model Gains Performance by Demi-Deciles Model performance indicates that deciles 1-4 have the greatest lift. Detection of seeds suggests that mailing to ~ 20% of the top scoring records would yield a probability of capturing ~ 90% of customers.

21. Top Decile 1 captures 75% with seeds. Example Slide to Illustrate Possible Predictive Scoring

22. Top Decile 1 captures 75% with seeds. Example Slide to Illustrate Possible Predictive Scoring

23. Example Slide to Illustrate Possible Predictive Scoring

24. End: Example B2B Propensity Scoring Model Results Example Slide to Illustrate Possible Predictive Scoring XYZ Company – Legal, Accounting & Real-Estate Clients • Next Steps: • Score Universe of Prospects • Select Top Scoring Records • Develop Campaign Strategies • Track and Evaluate