Case study

SellerSpace helps boost conversions for JELLYSUB with Amazon Marketing Stream

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JELLYSUB is a China-based company that produces high-quality, practical, and durable small household items, such as picture-hanging strips and indoor hooks. For more than five years, JELLYSUB has promoted and sold their products to North America and Europe primarily through the Amazon store.

To improve their digital marketing efficacy in North America, JELLYSUB wanted to focus on enhancing conversion rates and reducing their advertising cost of sales (ACOS). The household manufacturer sought the assistance of SellerSpace, whose multi-store operation management software integrates different forms of information, such as real-time sales, ad placements, profit analysis, and inventory management.

Enabling effective keyword selection with data aggregation

A core challenge that JELLYSUB faced was measuring and analyzing the ad performance of numerous keywords used in a single campaign. Without adequate information on how each keyword performed based on their ad placements, it was difficult to optimize their campaign, leading to inefficient use of their advertising budget. By combining Amazon Marketing Stream’s hourly data aggregation and SellerSpace’s hourly data analysis capabilities, JELLYSUB could accurately analyze their Sponsored Products keyword performance for each ad placement.

From an ad placement standpoint, deeper insights by SellerSpace revealed that there were no conversions, even if keywords on the product page were receiving twice the amount of exposure as those shown at the top of search results. JELLYSUB decided to introduce an investment bid increase of 60% for the top ad search position and by altering their bidding strategy for the campaign to “decrease only” to improve their ad conversion rate from 22.6% to 37.5%.

Optimizing bidding by analyzing hourly performance

Due to a lack of campaign optimizations, JELLYSUB had encountered persistently high ACOS. There was a pressing need to adjust ad budgets and bids dynamically based on peak-hour shopping data to promote sales growth.

To address this, JELLYSUB leveraged SellerSpace’s 24-hour trend feature, powered by Amazon Marketing Stream insights, to set effective time-specific bidding strategies by reviewing insights, such as the hour-by-hour exposure, clicks, and order placement of the ads.

As a result of these insights, the team reduced early-morning off-peak suggested bids, ran ads based on the suggested bids before 18:00, and increased the suggested bids by 20% during the peak shopping period between 18:00 and 20:00.1 This strategy also allowed the system to automatically optimize ad investments during periods of stronger click-through rates and conversion.

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With SellerSpace, I can easily create and manage ads while monitoring and optimizing ad performance in real time, helping enhance my ad ROI.

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— Wang Yu, general manager, JELLYSUB

Delivering more efficient conversions with SellerSpace’s automated advertising strategies

When used in tandem with Amazon Marketing Stream and Amazon Ads API capabilities, SellerSpace’s software has helped JELLYSUB improve their ad performance.

To sum up their time-tested approach, Lu Lei, a product manager at SellerSpace, suggests, “Get familiar with the basics of Amazon Ads capabilities, learn to regularly monitor ad performance, and optimize your ads based on ad performance and data analysis.”

SellerSpace helped improve JELLYSUB’s advertising campaigns in time for their promotional event on Prime Day. For a single-keyword advertisement, JELLYSUB’s Prime Day sales revenue on July 11 increased by nearly 12x compared to the same period in June after enabling hourly optimizations.

1 Advertiser-provided data, CN, 2023