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Predictive Data Modeling

Predictive Data Modeling2018-05-01T10:43:42-04:00

Measure Customer Data Interaction

Predictive ModelingThe Predictive Data Modeling process takes our Customer Profile Analysis  process to the next level. Whereas, Indexing examines data variables individually, modeling measures the interaction of all 2000+ variables to determine which combinations of data are the most statistically significant for your direct marketing campaign needs. The resulting algorithm, when applied to the Focus USA database, calculates and assigns a weighted score to each individual, based on the predictability of each to respond.

The Focus database consists of transactional, behavioral, offline-online, self-reported and demographic data and includes virtually every adult in the country. A predictive model, therefore, will give you access to a large universe of responsive names, helping to uncover new niche markets for you as well. This process will streamline your acquisition efforts and return more to your bottom line.

Our Data Solutions

Focus USA Model Build Options

Customer Insight Study

Produces a complete customer insight analysis which allows you to gain segmentation knowledge about your customer as they appear on the Focus USA database.

Response Model

A model built on the relationship between responders and non- responders. This is also called a mail and response model. These models predict the likelihood of buyers / subscribers / donors to respond.  For this model we need the mail file with the responders flagged.

Good Customer Model

Designed to find more consumers who look like the client’s “customer”, “good customer”, or good “payer”

Reactivation Model

Used to re-engage customers who have ceased to buy/donate/subscribe.

Matrix Model

A multi-step approach identifying the most responsive consumers and their ability to convert. This model is often used with credit-related offers. Here, we need the mail file and gross/net responders flagged.

Optimization Model

Any model approach applied to a list or file profile in order to increase response/conversions.

Benefits of Predictive Data Modeling

  • Calculate & score each customer
  • Access a greater universe of targets
  • Discover new niche markets
  • Eliminate guesswork
  • Predict with accuracy
  • Streamline acquisition efforts
  • Improve ROI

How It Works

A proprietary algorithm, calculates and assigns a weighted score to each individual, based on the predictability of each to respond.

The modeled file is then sorted into 10 or 20 cells, ranging from high to low responsiveness according to the scores. Consumers who fall in the top ranking cells have the highest scores and most closely resemble your current customers.

Contact Us

Taking the guesswork out of the equation creates a model that is both predictive & responsive

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201-489-2525