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Apply data science to your organization

Use data science to predict and grow
“The Datamize team feels like part of our Elite Jets in-house team... They used data to guide the redesign of our new website and they completed it on an extremely tight schedule. Since launching our new website, there has been a 636% increase in flight quotes online, and our booked flights and revenue has dramatically increased as well...
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  • More predictable and accurate marketing budgeting and forecasts
  • Happier employees who are empowered to make smarter marketing/advertising investment and campaign decisions
  • Increased enterprise value for your organization
  • Efficiency improvements to increase speed of analytic and reporting outputs for decision making.

Align with your goals and improve the metrics and KPIs that matter to you

 
  • Increase response rates
  • Acquire just high value customers
  • Decrease customer attrition
  • Increase LTV
  • Reactivate lapsed customers
  • Determine responsive segments.
  • Determine unresponsive segments and learn where to make adjustments to creative, timing, etc.

Predictive Modeling / Machine Learning

Acquire, retain, and re-activate lapsed customers and gain accurate predictions for planning your direct marketing programs.

You can build models on the latest technologies to get the best results with the fastest turn-around time.

Clustering, Multivariate & Multi-linear Regression, Classification, and Ensemble Machine Learning Methods are used for predictive models.

 

Get smarter with each campaign

 

Move beyond suppression models; in addition to providing predictive scoring on your most likely to respond segments, you can move towards prescriptive by changing variables (creative, timing, frequency, etc.) and testing on the low response segments.

Get marketing intelligence reporting that is repeatable, easy-to-interpret and provides clear next steps.

PERSONALIZED SOLUTIONS

A process-oriented approach
to help you

01.
Provide historical marketing files and the response files.
02.
Assess the data quality and business rules. Then give you recommendations. 
03.
Append elements to enhance knowledge. Build the ML models. Return model prediction score segments and files.   
04.
You now have the data and information to make smarter and more profitable marketing decisions.

Apply Data Science

Contact us and we will show you what will work for you.
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