Abstract: Methods and systems for automatic publication of listings on an ecommerce system are disclosed. In one aspects, a method include filtering historical item listings for items to those items having a similarity to a particular item, determining predictions of future sales prices over future time periods for the particular item based on the filtered historical items, the determined predictions including future sales prices having different probabilities of sale completion, receiving a user selection indicating one or more predictions of future sales prices over one or more future time periods; and determining a time to initiate publication of an on online listing for the particular item based on the selected one or more predictions.

Abstract: Methods, systems, and devices for providing automatic adjustment to commission fees on a network-based marketplace. Consistent with some embodiments, a purchase offer for an item for sale is received via a user interface of a client device, the purchase offer including an offer price. Upon determining that the offer price is below a listed price, a commission fee reduction value is computed based on a difference between the listed price and the offer price. A reduced commission fee is determined based on the commission fee reduction value and a standard commission fee. Upon determining that the reduced commission fee satisfies a condition defined by a set of rules, a transaction for the sale of the item is automatically completed based on the reduced commission fee, the completing of the transaction comprising reducing the listed price by the commission fee reduction value.

Abstract: Methods, systems, and devices for providing automatic adjustment to commission fees on a network-based marketplace. Consistent with some embodiments, a purchase offer for an item for sale is received via a user interface of a client device, the purchase offer including an offer price. Upon determining that the offer price is below a listed price, a commission fee reduction value is computed based on a difference between the listed price and the offer price. A reduced commission fee is determined based on the commission fee reduction value and a standard commission fee. Upon determining that the reduced commission fee satisfies a condition defined by a set of rules, a transaction for the sale of the item is automatically completed based on the reduced commission fee, the completing of the transaction comprising reducing the listed price by the commission fee reduction value.

Abstract: Based on an analysis of historical data of listings for an item, an online marketplace generates a price curve for the item to describe the likelihood to sell as a function of price. Based on seller preference data, an analysis of historical data of listings, or both, the online marketplace estimates the utility preferences for the seller account, such as the cost of time. Using the utility preferences and the price curve for an item, the online marketplace can generate a utility curve that estimates the utility for the seller account as a function of the item price. Using the utility curve, the online marketplace generates utility-based price guidance for a particular seller of the item. A user interface presents the utility-based price guidance to the seller and enables the seller to set the price of the item based on the price guidance.

Abstract: Systems and methods for managing keyword predictions for proposed titles are provided. In example embodiments, a network system receives, from a user during a publication creation process, a proposed title for a publication associated with an item. The proposed title includes a plurality of tokens, whereby the plurality of tokens comprises at least all non-stock words in the proposed title. Based on the proposed title, the network system identifies an importance of each token of the plurality of tokens in the proposed title. The network system then causes presentation of a user interface that visually indicates the importance of each token of the plurality of tokens in the proposed title.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for automated offer management. An offer management system determines predetermined affinity signals indicating respective candidate user interest in purchasing an item listed for sale on an online marketplace. The offer management system determines tiers of candidate users based on the affinity signals. Each tier includes a subset of the candidate users. In response to determining that a threshold period of time has elapsed, the offer management system transmits a first offer in relation to the item listed for sale to candidate users in the first tier of candidate users. The first offer includes an first offer price that is a deviation from the sale price of the item.

Abstract: Methods, systems, and devices for providing automatic adjustment to commission fees on a network-based marketplace. Consistent with some embodiments, a purchase offer for an item for sale is received via a user interface of a client device, the purchase offer including an offer price. Upon determining that the offer price is below a listed price, a commission fee reduction value is computed based on a difference between the listed price and the offer price. A reduced commission fee is determined based on the commission fee reduction value and a standard commission fee. Upon determining that the reduced commission fee satisfies a condition defined by a set of rules, a transaction for the sale of the item is automatically completed based on the reduced commission fee, the completing of the transaction comprising reducing the listed price by the commission fee reduction value.

Abstract: Methods and systems for automatic publication of listings on an ecommerce system are disclosed. In one aspects, a method include filtering historical item listings for items to those items having a similarity to a particular item, determining predictions of future sales prices over future time periods for the particular item based on the filtered historical items, the determined predictions including future sales prices having different probabilities of sale completion, receiving a user selection indicating one or more predictions of future sales prices over one or more future time periods; and determining a time to initiate publication of an on online listing for the particular item based on the selected one or more predictions.

Abstract: Based on an analysis of historical data of listings for an item, an online marketplace generates a price curve for the item to describe the likelihood to sell as a function of price. Based on seller preference data, an analysis of historical data of listings, or both, the online marketplace estimates the utility preferences for the seller account, such as the cost of time. Using the utility preferences and the price curve for an item, the online marketplace can generate a utility curve that estimates the utility for the seller account as a function of the item price. Using the utility curve, the online marketplace generates utility-based price guidance for a particular seller of the item. A user interface presents the utility-based price guidance to the seller and enables the seller to set the price of the item based on the price guidance.