|
|
 |
|
 |
| |
SPSS PredictiveCallCenter TM
|
|
| |
|
|
| |
Solution Summary |
|
| |
SPSS PredictiveCallCenter is an application for marketers who need to turn call centers into profit centers by deploying campaigns to this touch point. The application optimizes predictive models and business rules to deliver the right offer to the right customer and it can be extended with other SPSS offerings to choose the correct channel (e.g. Call Center v. Web) as well. |
|
| |
|
|
| |
Solution Profile |
|
| |
Turn Inbound Calls into Sales Opportunities Customers rarely contact your service call center unless they have a specific need or complaint. In some cases, this may be your last opportunity to retain valuable customers. Most often, it’s a way for you to satisfy customer needs while increasing revenue. Working with your existing call center system, PredictiveCallCenter turns these inbound calls into sales opportunities. By predicting customer needs and preferences in real time, you can increase revenue and customer satisfaction. PredictiveCallCenter uses a combination of proven predictive analytics and business logic to deliver: Real-time recommendations that balance likelihood of acceptance with profitability Full agent support, including sales strategies and arguments A cross-channel view of each customer Skill-based routing that directs each call to the agent most qualified to address the customer’s issue Continuous interaction feedback to refine future offers PredictiveCallCenter enables you to streamline the campaign process. You can create, validate, assess, and refine your campaigns with one solution. Know the affect your campaigns will have before you send them. And use interaction information to make future campaigns more effective. Designed to integrate with existing call center systems, PredictiveCallCenter delivers results—quickly. For example, Spaarbeleg, a financial services subsidiary of the AEGON Group, generated an additional $30 million from its inbound call center in just one year, using PredictiveCallCenter. >Read the full case study. SPSS also offers proven technologies that you can use to enhance your PredictiveCallCenter solution. Optimize your inbound and outbound marketing campaigns across all channels when you use PredictiveCallCenter with PredictiveMarketing. Apply text mining to gain additional insight from agent notes fields and customer e-mail. For analyst-level scoring and modeling, deploy Clementine streams directly into PredictiveCallCenter. |
|
| |
|
|
| |
Distinguishing Features |
|
| |
 Real-time recommendations that balance likelihood of acceptance with profitability Full agent support, including sales strategies and arguments A cross-channel view of each customer Skill-based routing that directs each call to the agent most qualified to address the customer’s issue Continuous interaction feedback to refine future offers Integration with major call center systems, such as Siebel—and even legacy systems |
|
| |
|
|
| |
Solution Details |
|
| |
| Solution Type: | Packaged |
|
|
| |
| Solution Availability: | |
|
|
| |
| Company Size Solution is Targeting?: | < 50 |
|
|
| |
| Open Source Solution: | No |
|
|
 |
|
 |
|
 |
|
|
|
|
|
|
|
|
|
|
|
| |
The partners listed in the Oracle PartnerNetwork (OPN) Solutions Catalog are part of the Oracle PartnerNetwork Program, however Oracle does not endorse any of the partners or their software, solutions, services or training listed on this site. Oracle disclaims any and all liability arising out of your use of the partners, software, solutions, services and training listed on the site. All software, solutions, services and training are provided “as is” and without warranty, unless provided by the authoring partner.
|
|
|
|
|
|
|
|
|
