Unlocking opportunities in the Toys & Games market with data 

The toys and games industry is a massive and diverse market. It covers everything from children’s playthings and educational games to party supplies, kids’ electronics, arts and crafts, and more. 

The audience is equally broad—kids, families, friends, hobby enthusiasts, and even adults looking for entertainment or unique collectibles. 

These products reach consumers through various channels: 

• Manufacturer brands like LEGO or Barbie
• Global retailers and resellers such as Walmart, Amazon, or Macy’s
• Local toy shops and specialized stores focusing on board games, hobbies, and crafts
• Party supply and costume rental shops, serving seasonal or event-driven demand

No matter the size of the business, they all share the same goal: to stay competitive, relevant, and profitable. 

Why data matters in the Toys & Games industry 

To achieve success, companies need more than intuition—they need data-driven insights. By leveraging datasets, businesses can: 

• Track competitors to understand pricing strategies, product launches, and promotions
• Spot trends early, such as the surge in popularity of L.O.L. Surprise! dolls or Labubu collectibles
• Make informed decisions quickly, ensuring they stock the right products at the right time
• Optimize sales strategies, from local shops adapting to neighborhood preferences to large resellers fine-tuning global offerings

Where the data comes from 

Valuable datasets can be collected from a variety of sources, including: 

• International marketplaces like Amazon, eBay, or AliExpress
• Local online platforms and toy shops that reflect regional buying behavior
• Specialized stores and communities, such as board game retailers or niche hobby platforms
• Retail websites with publicly available product data, offering real-time insight into availability and pricing

Detailed use cases of data in the Toys & Games industry 

1. Tracking product prices by region 

How it works: 
Businesses can collect data on toy prices across different regions and marketplaces (e.g., Amazon US vs. Amazon UK, or Walmart vs. local toy shops). 

Example in practice: 

• A retailer sees that LEGO sets are priced significantly lower in one region compared to another
• They adjust their procurement strategy—sourcing from the cheaper region or negotiating better deals with distributors
• For e-commerce shops, this insight can help localize pricing, ensuring competitiveness without undercutting margins 

Business impact: 

• Stay competitive in each regional market
• Optimize profit margins
• Avoid losing sales due to price mismatch with competitors 

2. Monitoring new product launches and trends 

How it works: 
Datasets track product listings and new arrivals on major marketplaces. 

Example in practice: 

• A toy retailer notices the rising number of listings for Labubu figurines on Amazon and Alibaba
• They recognize it as an emerging trend and quickly secure stock before demand peaks
• Simultaneously, they run a targeted marketing campaign (e.g., “Be the first to get Labubu in your city!”) 

Business impact: 

• Enter trending categories early
• Gain a competitive edge by being first to market
• Increase sales and customer engagement 

3. Competitive product tracking (features, reviews, ratings) 

How it works: 
Datasets collect details on competitors’ products—attributes, descriptions, reviews, ratings, and stock availability. 

Example in practice: 

• A board game manufacturer compares their product’s ratings to similar ones on Amazon
• They find that customers consistently mention “lack of clear instructions” in competitor reviews
• They improve their own packaging with clearer instructions and highlight this advantage in ads 

Business impact: 

• Improve product quality by learning from competitors’ weaknesses
• Enhance marketing messaging by showcasing unique selling points
• Build stronger customer satisfaction and loyalty 

4. Seasonal demand prediction 

How it works: 
Datasets reveal spikes in searches, listings, or purchases around certain periods (Halloween, Christmas, summer holidays). 

Example in practice: 

• A party supply shop uses data to predict demand for Halloween costumes
• They notice “Spider-Man costumes” growing faster than average
• The shop increases orders early to meet the surge, avoiding stock-outs during peak season 

Business impact: 

• Maximize sales during seasonal peaks
• Reduce the risk of overstocking or understocking
• Improve inventory planning and cash flow 

5. Optimizing marketing campaigns 

How it works: 
Datasets help identify which product categories are trending and what attributes matter most (e.g., “STEM toys,” “eco-friendly,” or “under $20”). 

Example in practice: 

• An online toy shop finds that STEM toys under $50 are trending among parents
• They run ads targeted at this niche: “Affordable STEM toys to boost your сhild’s creativity”
• Ads perform better because they align with real demand 

Business impact: 

• Higher return on ad spend
• Stronger customer engagement
• Better brand positioning as a trend-aware retailer 

Partnering with SSA Group for reliable data 

Getting access to this data doesn’t have to be complicated. By partnering with a reliable data provider like SSA Group, businesses can stay ahead with ease. 

• Ready-made datasets – Available directly, such as the Amazon Toys & Games Dataset
• Custom datasets – Built for any public source and tailored with the exact attributes your business needs. 
• Automation tools – For companies seeking efficiency, SSA Group develops custom tools that track data in real time and deliver instant insights, powered by SSA Data Bundle. 
• AI-ready & BI-ready design – Every dataset is structured for advanced use cases: 
• AI: powering demand forecasting, product recommendation systems, or automated sentiment analysis. 
• BI: feeding dashboards and analytics platforms to support data-driven strategy and reporting.  

📌 Example in action: A toy manufacturer used SSA Group’s Amazon Toys & Games dataset to analyze seasonal trends and feed a BI dashboard for planning product launches. At the same time, their AI team used the same dataset to train a demand prediction model, helping the company prepare stock levels ahead of holiday shopping peaks. 

With SSA Group, you get more than raw data — you get datasets built for action, insight, and growth. 

Summary 

In the fast-moving world of toys and games, data is the key to staying competitive. Whether you are a global retailer, a local toy shop, or a specialized party supplier, the right datasets can help you track competitors, catch emerging trends, and grow your business. 

👉 Partner with SSA Group today and unlock the power of reliable, custom-tailored data solutions.