Valuable business intelligence is hidden in your mountain of data
Gain insights into customer behavior, outmaneuver the competition, and increase profits using the data you already have
As John Wanamaker famously said 100 years ago, “Half my advertising is wasted. I just don’t know which half.” And that quotation likely applied to a vast range of business decisions, not just advertising. But Wanamaker could get away with flying blind because none of his competitors knew much more.
That’s not the case today. A chasm is quickly being created between two kinds of companies. The star performers nimbly react to macroeconomic conditions, competitor initiatives, and changing consumer tastes by leveraging data created from transactional, operational, and analytical systems. While the laggards are drowning in data they simply don’t know how to leverage.
We can help you find a few gems
Turn millions of pieces of data you already own into revenue-generating intelligence
Advanced Usability can help transform your data into actionable business intelligence that helps you better communicate with your potential customers and gain an advantage over the competition.
We examine the information generated by key facets of your day-to-day business operations and create straightforward statistical models with clear business suggestions that highlight useful information and help shape your strategic decision making. From response optimization to customer segmentation and targeting, the Advanced Usability scientists employ analytical methods honed through years of in-depth real-world research, so that you receive the simplest, most accurate and reliable solutions to your email and online marketing challenges.
Advanced Usability Data Analysis Services include:
- Email Frequency Analysis - Don’t leave money on the table. This detailed assessment of your current email send strategy will help you discover the optimal send frequency to help you maximize your net profit.
- Customer Segmentation/Clustering Analysis - Different customers have different motivations. Target groups more accurately and maximize the likelihood of achieving the desired response with customer segments created from your transactional data.
- Forensic Analysis - Wring value from past data. Uncover relationships among recorded variables (trends, patterns, clusters) to identify the key variables that are pivotal for achieving your business objectives.
- Cart Path/Funnel Analysis - Drive customers to purchase. Ensure the effectiveness of your sales process through an in-depth analysis of historical metrics of your multiple-step sales path and/or ecommerce shopping cart.
- Predictive Analysis - Hit a target over the hill. Accurate business models built upon historical data and business information will help you determine the operational and financial implications of business decisions through the use of scenario (“what if”) analysis
- Diagnostic Analysis - Quality data equals quality decisions. Data from different sources is compared to identify hidden patterns of behavior and make sure that your data is accurate and reliable for your business decisions.
For an example of the clear recommendations you can expect from your data analysis, please take a look at this case study with a customer that tripled projected revenue from its house email list:
