Electronic Distribution and Management of Transactional Promotional Campaigns

• US 20140351030A1
• Filed: 05/23/2013
• Published: 11/27/2014
• Est. Priority Date: 05/23/2013
• Status: Abandoned Application

• Current Assignee: SCVNGR, Inc. (GrubHub Inc.)
• Original Assignee: SCVNGR, Inc. (GrubHub Inc.)
• Inventors: Priebatsch, Seth
• Application Number:
  US13/901,352
• Publication Number:
  US 20140351030A1
• Time in Patent Office: Days
• US Class Current: 705/14.13
• CPC Class Codes: G06Q 30/0211 Determining the effectiveness of discounts or incentives

Abstract

Systems and methods for distributing and tracking a promotional offer that is electronically claimable and redeemable by consumers determine a predicted fill rate, and compare the predicted fill rate to a target fill rate to dynamically adjust distribution and availability of the offer.

Claims

1. A computer-implemented method of operating a promotional campaign to dynamically target a specific fill rate, the method comprising:

electronically distributing to a first group of consumers a promotional offer claimable and redeemable via an electronic device; and

using a computer to, automatically;

(i) track claims and redemptions of the offer by the consumers;

(ii) computationally determine a current fill rate at a current time based at least in part on the tracking, the current fill rate corresponding to a number of redemptions of the offer;

(iii) computationally determine a predicted fill rate at a future time for the first group of consumers, the predicted fill rate being based on the current fill rate and at least one prediction factor; and

(iv) cause electronic distribution of the promotional offer to a second group of consumers only if the predicted fill rate for the first group of consumers is less than the target fill rate, the second group of consumers having a size dependent on (i) a difference between the current fill rate and the target fill rate and (ii) a predicted fill rate for the second group of consumers.

2. The method of claim 1, wherein the predicted fill rate is based at least in part on a ratio of claimed offers to redeemed offers and a reference ratio of claimed offers to redeemed offers.

3. The method of claim 1, wherein the predicted fill rate is based at least in part on calculated likelihoods of redemption of the claimed offers.

4. The method of claim 3, wherein the likelihood of redemption is based at least in part on an amount of time that has elapsed since the consumer has claimed the promotional offer.

5. The method of claim 3, further comprising sending reminders to consumers who claimed the promotional offer, wherein calculating the likelihoods of redemption is based at least in part on a number of reminders that have been sent.

6. The method of claim 1, wherein the predicted fill rate is based at least in part on a viral spread of the offer.

7. The method of claim 6, wherein the offer is trackably sharable and the viral spread is based at least in part on tracked sharing of the offer.

8. The method of claim 1, wherein the current predicted fill rate is determined based at least in part on an elapsed time since initiation of the campaign.

9. A system for managing a promotional campaign to dynamically target a specific fill rate, the system comprising:

(a) a promotions database for storing records each comprising (i) an identifier of a consumer to whom the offer has been sent and (ii) a status field indicating whether the consumer has claimed or redeemed the promotional offer; and

(b) a processor for executing, automatically;

(i) a tracking module for updating the promotions database each time a consumer claims the promotional offer and for updating the promotions database each time a consumer redeems the promotional offer;

(ii) a prediction module for calculating (A) a current fill rate at a current time based at least in part on the data in the promotions database, the current fill rate corresponding to a number of redemptions of the offer, and (B) a predicted fill rate at a future time, the predicted fill rate being based on the current fill rate and at least one prediction factor; and

(iii) a distribution module for distributing the promotional offer to a first group of consumers and, thereafter, to a second group of consumers only if a predicted fill rate for the first group of consumers is less than the target fill rate, the second group of consumers having a size dependent on (A) a difference between the current fill rate and the target fill rate and (B) a predicted fill rate for the second group of consumers.

10. The system of claim 9, wherein the predicted fill rate is based at least in part on a ratio of claimed offers to redeemed offers and a reference ratio of claimed offers to redeemed offers.

11. The system of claim 9, wherein the predicted fill rate is based at least in part on likelihoods of redemption of the claimed offers calculated by the prediction module.

12. The system of claim 11, wherein the likelihood of redemption is based at least in part on an amount of time that has elapsed since the consumer has claimed the promotional offer.

13. The system of claim 11, wherein the distribution module is further configured to send reminders to consumers who claimed the promotional offer, wherein the prediction module is configured to calculate the likelihoods of redemption based at least in part on a number of reminders that have been sent.

14. The system of claim 9, wherein the prediction module is further configured to compute a viral spread of the offer.

15. The system of claim 14, wherein the promotional offer is trackably sharable.