With DataPocket, you can link Google Sheets cells to Figma and automatically update designs with real-time data.
This is especially useful for displaying prices in different currencies and ensuring consistent information across multiple designs. Automate currency data in Figma to ensure up-to-date pricing at all times.
Key Benefits:
Using components in Figma allows you to replicate designs with variable data without the need for manual updates. This makes managing product catalogs, ads, and promotional materials scalable and efficient.
Data-driven design not only boosts efficiency but also enables more realistic and functional prototypes. With DataPocket, you can easily import texts, prices, and images while working with up-to-date information. Automate currency data in Figma to achieve seamless integration in your designs.
Practical Applications:
If you want to experience this workflow, you can try DataPocket for free. To access all features for three months, contact the support team.
Using currency data in Figma is now easier than ever. If you design for e-commerce or need to display updated prices, this solution will help you optimize your time and minimize errors. For best results, automate currency data in Figma and keep your financial information accurate.
Automate your design and take your projects to the next level!
Feature | Traditional Method (Manual) | DataPocket + Google Sheets |
---|---|---|
Update Speed | Slow. Each change requires manual editing in Figma. | Fast. Updates are made in the dataset and automatically reflected in Figma. |
Data Accuracy | High probability of human errors when entering data. | Reduces errors as data comes from a centralized source. |
Scalability | Difficult to manage in large projects with many price and currency variations. | Easy to handle large data volumes without additional effort. |
Variant Management (Currency Symbols Before/After Prices) | Requires manual components and variants in Figma. | Managed automatically from the dataset. |
Automation | No automation, everything is done manually. | Full automation with data synchronization, including e-commerce integrations (WP, Shopify, Canva, Adobe, etc.). |
Collaboration with Other Teams | Designers must constantly update based on new price lists. | Business or marketing teams can update the dataset without touching Figma. |
Plugin Dependency | No plugins required, but increases workload. | Requires DataPocket |
Compatibility with Other Data | Limited to manually entered data in Figma. | Can integrate with other data sources (e.g., SKU, product names, offers). |
Learning Curve | Easy but time-consuming due to repetitive tasks. | Requires learning to connect datasets, but optimizes workflow. |
Currency Change Flexibility | Each currency change must be modified individually. | Automatically adjusts based on the dataset. |