We provide deep insight into the impact of alternate contact strategies on both sales and profits. Our analytic techniques, enabled by our proprietary PIN assignment software, provide marketers with the ability to measure response over a series of campaigns, across multiple titles, and across multiple channels.

We can answer questions such as:

• Did consumers who received a preview email followed by a catalog perform better than consumers who received a catalog and then a follow-up email?
• On average, how many contacts did it take to convert a prospect into a customer?
• At what point does it make sense to stop mailing a non-responding prospect?
• Of the households that placed an unsourced order over the Internet, how many received a catalog prior to making the order?
• Of the households about to be mailed, how many received a catalog with similar merchandise from another one of the titles I manage?

scoring

I-Score™ is a modeling service featured by SolutionSet that acts as an "adjuster" to projected sales per book values and finds pockets of names at the key code or list level that will impact decision making in the backend. I-Score™ was developed because mailers need technology to help support strategic initiatives such as acquisition, retention, cross-selling, and channel optimization. We developed our offering to combine traditional M/P capabilities, PIN assignment techniques, and prospect database management technologies in a single process. One of the chief benefits of this process is the ability to provide scoring capabilities within the M/P.

I-Score™ uses a plethora of meaningful variables by combining traditional M/P attributes, census demographic information, and prior promotion history to build highly predictive scoring algorithms. Each I-Score™ is a set of custom-constructed models that helps the marketer make smarter mailing decisions and enhance ROI with each campaign.

housefile models

In addition to I-Score™ modeling, SolutionSet provides traditional house file modeling services. These regression-based models leverage detailed transaction information to construct predictive scores for each customer. The score can then be integrated into segmentation strategies and may even be utilized within I-Score™ as an additional modeling attribute. The resulting scores allow for the streamlining and integration of the dozens of available attributes (e.g., recency, frequency, monetary, channel, and product) into a single linear score, leading to better contact decisions and a greater return on marketing spend.

zip/geo models

ZIP and Geo Models can be created to enable geographic targeting at the point of list fulfillment. The output of these models is lists of ZIP and/or sub-geographies that are identified as strong-performing geographies across a customer base. These model-driven geo lists can then be utilized by external rental fulfillment providers to pre-qualify inbound prospects to these higher-performing geographies. This can lead to significantly higher prospect response rates.