While traditional price optimization solutions have been rule-based tools, using data analysis from historical patterns, Runa Co-Founder & CEO Ashok Narasimhan pointed out that conversion marketing-focused solutions are goal-based and designed to allow real-time data to be combined with underlying data such as cost of goods. Rather than simply setting a price and establishing a corresponding markdown and promotion strategy, Narasimhan said conversion marketing tools are intelligent and learn over time.
“From the outset, we set out to address this opportunity in online marketing with a new approach; one that works within the conversion optimization funnel — not outside of it,” said Narasimhan. “Runa focuses on 'the last inch' with a new approach to convert traffic into sales for our customers.”
Runa has defined conversion marketing by several key factors, including:
- Real-time shopper segmentation: Understanding the context of shoppers by using pre-click and post-click information.
- Prediction of purchase intent: Dynamically determining the purchase intent for the items a shopper is currently looking at.
- Profit-optimized sale pricing: Using the e-tailer’s business rules and analytics to determine the best sale price for each shopper (see last paragraph below).
- Real-time delivery of profit-optimized sale pricing: Dynamically delivering profit-optimized sale prices to individual shoppers while they are still on an e-tailer’s site. Additionally, the presentation and offer acceptance must be seamless on the e-tailer’s site.
What's interesting at the moment, though, is that runa doesn’t cost anything to operate. You pay runa only for sales where it helped you close the deal with a "dynamic" sale price.
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