The following Case Study outlines two email appending clients. These are actual client results. Case Study one highlights pure contract record appending. The second Case Study is survey driven appending with a specific marketing intelligence objective. Lead Generation is the primary goal for both Case Studies.
Company Type:
Large National Home Builder
Problem:
Various, small volume contact databases needing normalization and email contact appending. Aged Legacy Databases were not set up with email information as a default resulting in a large percentage of contact records with no email addresses or alignment from multiple source points. List age also added to the need for record correction in addition to appending.
Need:
Appending of contact records with email information and opt in permission for lead marketing and lead generation.
Solution:
Normalizing all databases into a single format, email appending by group, list segmentation for email lead generation and ongoing marketing for brand and offer awareness.
Results:
Rumbline Email Appending, normalized and segmented databases with appended email addresses based on the type of customer and the marketing activity for that list group.
Report information
Below is a small sample of records run for this client. This sample is a good cross section of this append. Total Records run for this client exceed 20 million.
Sample - Records Input:
Sample – Record Results:
Sample – Record Match Rates:
Cust List 1 = 54
Cust List 2 = 802
Cust List 2 = 171
Cust List 4 = 2,429
Cust List 5 = 734
Cust List 6 = 202
Cust List 7 = 565
Cust List 8 = 3,977
Cust List 9 = 60,974
Cust List 1 = 6
Cust List 2 = 173
Cust List 3 = 22
Cust List 4 = 500
Cust List 5 = 176
Cust List 6 = 48
Cust List 7 = 136
Cust List 8 = 778
Cust List 9 = 5,210
Cust List 1 = 11.11%
Cust List 2 = 21.57%
Cust List 3 = 12.87%
Cust List 4 = 20.58%
Cust List 5 = 23.98%
Cust List 6 = 23.76%
Cust List 7 = 24.07%
Cust List 8 = 19.56%
Cust List 9 = 8.54%
Result
With the appended records in hand, this client was able to decrease their over all acquisition cost per lead on an ongoing basis. Normalized Databases are now set up in a scaleable manner to allow list growth without additional database development.
