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We are a marketing analytics consulting firm providing data-driven customer intelligence for segmentation and audience targeting that delivers optimal campaign response.
New Orleans

Since the 2010 Census, the population of New Orleans has grown 13.3% compared to 4.1% for the U.S. and 3.0% for Louisiana.
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Giving Statistics a Human Touch
STEP 1.  Start with an overhead view and then                              conduct a deep dive into your                                                customer characteristics
STEP 2.  Fill in the gaps with 3rd party market                                data including demographics,                                                lifestyles, and other customer                                                tendencies
STEP 3.  Utilize analytical insights to identify                                  customers and prospects who are                                      most likely to buy
STEP 4.  Unleash your targeted marketing                              campaign
STEP 5.  Measure campaign results 
How a Marketing Analytics Consultant Can Bridge Your Data Insights Gap
Although big data is quickly turning analytics into a core marketing function, many companies are still ramping up their use of data while others have yet to implement the processes and systems needed to deliver the customer intelligence that marketing strategists need.
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More QuickFacts ...

Percent of population* with Bachelor's degree or higher
*(persons age 25 years+)  Source: U.S. Census Bureau
  1. 40.5%
    Massachusetts
  2. 38.1%
    Colorado
  3. 37.9%
    Maryland
  4. 54.6%
    District of Columbia (D.C.)

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What are the key characteristics of my customers?​
How can I most effectively reach my target audience?
How can analytical insights provide additional customer intelligence?
Everything About IntelliStats
  1. Audience targeting
    Every campaign starts with a well-defined target audience. The characteristics of your best customers can provide a foundation for developing customer portraits. These portraits or profiles provide you with the proper information for defining the audience you wish to target.
  2. Segmentation solutions
    You have probably heard it said "Don't treat all of your customers the same." Partitioning your customers into a set of non-overlapping segments allows you to develop offers and messages that appeal to different customer groupings.
  3. Predictive analytics
    Marketing analytics can be utilized in many ways. For example, statistical models can help to target existing customers who are most likely to buy again. A model could also be used to find prospects who look most like your current customers.
  4. Customer data enhancement
    Sometimes you don't know enough about your customers to make the most informed decisions. By enhancing your customer database with outside information from expert data suppliers, you can improve your knowledge base for more efficient targeting.
  5. Market research
    Primary market research via surveys or other real-time touch points allows you to hear the voice of your customers. This direct feedback can be the basis for developing benchmarks to rate your overall customer service, satisfaction, and other prominent factors that influence purchases.
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