SAS Marketing Optimization :
SAS Marketing Optimization helps you maximize economic outcomes by making the most of each individual customer communication. The solution enables you to increase marketing campaign ROI by determining the best offers for individual customers and delivering analytic insight into the implications of business constraints, such as channel capacity and contact policies.
Improve marketing ROI:
Targeting effectively means higher response rates, improved channel effectiveness and reduced spending. It also means fewer deleted e-mails and fewer unwanted direct mail solicitations. Using segmentation and rules-based approaches to prioritizing marketing offers will not achieve the same results as the math-based approach offered by SAS Marketing Optimization.
Enhance your contact strategy.
Optimize across complex contact policies to avoid over-saturating customers and violating corporate governance requirements. Eliminate uncoordinated and conflicting communications, and incorporate relevant relationship factors such as customer risk, advertising exposure and householding into the optimization to ensure that valuable customers are receiving the best possible set of communications across every channel.
Increase organizational efficiency.
Quantify where changes in staffing and budget really pay off with what-if analysis that shows you where you're leaving money on the table or where you have unused capacity.
Robust optimization formulation
Solve a wide range of business objectives to maximize or minimize virtually any business goal - e.g., maximizing profit, minimizing marketing cost, achieving sales volume goals, and maximizing revenue and account balance.
Account for:
♦ Overall budget or a budget for any campaign or offer combination.
♦ Channel availability for store, branch, call center, direct mail, e-mail, mobile or other channels.
♦ Customer-level attributes, such as consumer credit scores or recent purchase amounts.
♦ Desired minimum or maximum cell sizes for any campaign, offer or combination of offers.
♦ Resource consumption at the offer level.
♦ Nearly any custom customer-level criteria, such as "total revenues greater than or equal to $25 million" or "average portfolio risk score greater than or equal to 680."
♦ Categorical constraints (geography, customer attitude, etc.).
♦ Householding.
♦ Contact policies.
