About
Rewardpod helps digital businesses increase their revenues and margins by leveraging real-time predictive analytics. The companys technology segments users and then optimizes the best product and price for each user. Rewardpods Dynamic Offers service enables dynamic pricing by matching users to the optimal price point. Instead of offering all users the same daily promotion, the service supports setting different price points based on how likely users are to respond to offers, increasing the average revenue per user. Dynamic pricing enables businesses to identify users who are less likely to be affected by discounting while highlighting those who are more price sensitive. The service is provided through a real-time REST API, and the score is fed into existing systems in order to determine the right price.
Funding history · 1 round · $1.3M total
Company Intelligence Q&A
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- What is Rewardpod's primary business focus?
- Rewardpod specializes in real-time predictive analytics to help digital businesses increase revenues and margins by optimizing product and pricing for individual users.
- When was Rewardpod founded?
- Rewardpod was founded in September 2013.
- What is the current operational status of Rewardpod?
- Rewardpod is currently inactive, as of May 2018.
- Where is Rewardpod's headquarters located?
- Rewardpod's headquarters is located in Tel Aviv-Yafo, Israel.
- How much funding has Rewardpod raised in total?
- Rewardpod has raised a total of $1,300,000 USD. For a full financing history, please refer to startupim.
- When did Rewardpod complete its last funding round and what type was it?
- Rewardpod completed a Seed funding round in June 2014.
- Who were some of the investors in Rewardpod's Seed round?
- Key investors in Rewardpod's Seed round included Lior Shiff and Nadav Abrahami.
- How many employees does Rewardpod have?
- Rewardpod has 6 employees.
- What technology does Rewardpod's Dynamic Offers service utilize?
- Rewardpod's Dynamic Offers service uses a real-time REST API to feed scores into existing systems for dynamic pricing.