Shoply

Name of the product or service

Shopping Ads Suite

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Product or service description

Shoply’s Shopping Ads Suite is a comprehensive platform built to solve some of the most critical challenges in e-commerce advertising, with a primary focus on reducing budget waste and optimizing ad performance.

A significant issue in online advertising is the inefficient allocation of budget, often spent on low-performing or irrelevant products. Shoply addresses this by ensuring smart, data-driven budget allocation, directing ad spend to the products with the highest potential for sales.

For new products with no historical data, platforms typically require lengthy learning periods or test-and-learn cycles, leading to unnecessary spend and slower scaling. Shoply’s Predictive Analytics bypasses these hurdles by accurately forecasting the performance of new arrivals, enabling immediate scaling and optimal budget distribution. This minimizes wasted spend and accelerates results.

Unlike traditional solutions that rely on siloed platform data, Shoply integrates insights from multiple sources—Google Ads, GA4, Merchant Center, and more—creating a unified view of performance. This ensures informed ad allocation across channels, providing a significant competitive advantage.

Additionally, Shoply resolves feed errors and enhances product visibility through its Produce Feed Optimization Tool, refining product titles to increase CTR and ensure higher ad visibility. Paired with real-time data integration from ERP or CRM systems, Shoply enables dynamic updates and segmentation adjustments, ensuring campaigns stay relevant and effective.

By solving these challenges, Shoply empowers e-commerce businesses to reduce budget waste, scale campaigns faster, and achieve better performance with precision and confidence.

Distinction from the competition

Shoply’s Shopping Ads Suite is designed to eliminate budget waste, the most pressing challenge in e-commerce advertising. Its hero feature, Smart Segmentation with Predictive Analytics, ensures smarter budget allocation by identifying high-potential products, including new arrivals with no sales data. This innovative approach bypasses lengthy learning periods enabling immediate scaling and maximizing return on ad spend. By directing ad spend to what matters most, businesses save money and achieve better results faster. Shoply also offers a Product Feed Optimization Tool to refine product titles, boosting visibility and increasing click-through rates. Hourly feed updates ensure accurate, up-to-date product information, surpassing Merchant Center's default refresh frequency. With a unified dashboard, Shoply integrates data from Google Ads, Merchant Center, and GA4, providing actionable insights across platforms for fully informed ad allocation. What sets Shoply apart is its focus on real-time performance improvements and its ability to unify all e-commerce advertising tools into one intuitive platform, providing measurable results.

Product or service innovations

In the past year, Shoply has introduced several game-changing innovations designed to optimize e-commerce advertising performance: Real-Time Data Integration: Syncs seamlessly with ERP and CMS platforms, enabling intraday segmentation updates and addressing delays in GA4 data reporting. Product Feed Optimization: Enhances product visibility and increases CTR by refining titles with keyword-rich content tailored to drive impressions and clicks. Hourly Feed Updates: Ensures product feeds remain fresh and accurate, surpassing the default daily refresh limit of Merchant Center, resulting in improved Shopping Ads performance. Cross-Platform Reporting: Provides deeper analytics and actionable insights by unifying data from Google Ads, Merchant Center, and GA4 into a single, intuitive interface. These innovations not only improve platform usability but also empower clients to achieve measurable sales growth, reduce advertising costs, and maximize the return on their ad spend. Shoply continues to redefine e-commerce advertising efficiency with its forward-thinking approach.

Customer case study

Apothema, a leading e-commerce retailer managing over 30,000 fast-moving inventory items, faced significant challenges in effectively allocating ad spend. With frequent new product arrivals and limited historical data, it was difficult to scale campaigns efficiently and prioritize high-potential products.

Additionally, inefficient budget allocation resulted in wasted spend on underperforming products. Feed errors further hindered campaign performance, leading to missed opportunities for increased visibility and higher conversions. Apothema needed a comprehensive solution to reduce waste, streamline campaign management, and achieve measurable results.

Solution: To tackle these challenges, Apothema partnered with Shoply and implemented the Shopping Ads Suite, leveraging its advanced features:

Smart Segmentation with Predictive Analytics: Shoply’s cutting-edge analytics identified high-potential products, even for new arrivals with no sales data. This eliminated lengthy test-and-learn cycles and enabled immediate scaling with optimal budget allocation. Real-Time Data Integration: Integration with Apothema’s ERP system ensured continuous updates, enabling dynamic adjustments to campaigns in response to real-time sales trends. Product Feed Optimization: By refining product titles, Shoply improved visibility, boosted click-through rates (CTR), and resolved feed errors that had previously impacted performance.

Results: With Shoply’s innovative tools, Apothema transformed its ad strategy and achieved exceptional results: +46% ROAS YoY +35% Conversion Value +23% Conversions -7% Advertising Costs

Conclusion: By partnering with Shoply, Apothema overcame its budget allocation challenges, reduced wasted spend, and unlocked new growth opportunities. Through smarter segmentation, real-time adjustments, and feed optimization, Apothema achieved measurable improvements in ad efficiency and campaign performance, driving sustainable business growth.

Website

https://shoply.pro/


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