Database Marketing Applications
"Your data, your road to success"
Our Expertise
What can DataMaApp do for your business?
DATA Driven Results
DataMaApp believes sound business decisions require factual data to generate profitable revenue growth.DataMaApp offers data reporting and analysis that clearly ties your efforts to business results - quickly pinpointing activities within your company that are driving positive results and highlighting those that are not.
MAximize Your Profits
DataMaApp's proven statistical approach enables your business to maximize profits by creating sound customer value segmentation systems, building effective predictive statistical modeling tools and conducting full Multi-Variate testing which allows you to test numerous customer ideas at a fraction of the investment cost.
APPeal to Your Customers
Customer data and research allows you to treat your customers how they want to be treated - like an individual!Our segmentation survey and focus group research abilities will help you connect with your customers in a way that is appealing to them - and profitable for you!
Business metric scorecards
– Monthly snapshot of business performance on key business indicators (KPI).
Campaign performance analysis
– Statistically significant campaign analysis that measures a campaign’s success by response rates, revenue, and profit.
Buyer Models
– Financial net present value (NPV) revenue and profit project based on customer group performance.
Customer retention reports
– monthly snapshot of customer group performance based on key customer performance indicators such as customer retention rate, average order value (AOV) and revenue per buyer.
Statistical predictive response models
–Statistical models using data to predict which customers are most likely to respond to a marketing campaign improving response rates and profit as a result.
Statistical predictive revenue models
–Statistical models using data to predict which customers are most likely to produce the highest level of revenue improving overall sales and profit as a result.
Customer lifetime value
– Statistical models using data to predict how much future worth a customer has which helps a company determine how much effort should be invested to keep a customer based on the customer’s predicted worth.
Multi-variate test designs
– A statistical campaign design which maximizes test inputs (e.g. multiple offers) and can measure many different test results quickly and with little investment versus the usual test vs. control test design.
Customer segmentation
– Customer data is used to build customer groups according to how a customer interacts with your business; e.g. what they buy, how often, do they tend to buy multiple products from your business etc.
Customer research surveys
– A tool used to understand customer attitudes beyond how they interact with your business customer
Focus Groups
– A face to face tool used to gain in-depth customer understanding on attitudes, product pretences and how they view your company and its products.
Contact planning
– A detailed marketing plan which uses customer groups, predict models and customer research to optimize your businesses revenue and profits in a way which optimizes the customer experience.