Visual Exploration with Dashboards

Style Intelligence dashboards, called Viewsheets, encourage end-users to freely explore and experiment. Viewsheets guide users toward asking the right questions, questions that will return valuable and actionable information.

This section focuses on how end-users can interact with a sample dashboard to generate new knowledge. To create the sample dashboard, see Creating a Viewsheet Asset.

1. Launch the Visual Composer by clicking Start → All Programs → Style Intelligence → Style Intelligence Examples.

2. Select the ‘User Portal’ link. This opens the Report Portal.

3. In the Report Portal, select the Report tab.

“Flexible product with great training and support. The product has been very useful for quickly creating dashboards and data views. Support and training has always been available to us and quick to respond. - George R, Information Technology Specialist at Sonepar USA

4. In the left pane of the Portal, expand the ‘Repository’ tree and the ‘My Reports’ node. Click the ‘Sample Viewsheet’ to open this dashboard.

You can interact with the viewsheet by manipulating the graphical controls; this viewsheet has a Selection List, Time Slider, and Table.

• The Selection List lets you to specify the states whose data you wish to analyze

• The Range Slider lets you focus on a specific time period. The period can be as short as two months or as long as the full available range.

• The Table displays the results of your selections. Often, the components of a viewsheet have their own toolbars and modification options, e.g., the Selection List has its own toolbar. These options become visible when you pass your cursor over the element.

What KPIs and Metrics Are Tracked in Crowdfunding Platform Dashboards?

Crowdfunding platforms track a variety of Key Performance Indicators (KPIs) and metrics to monitor performance, ensure platform efficiency, and enhance user experience. Here are some common KPIs and metrics for crowdfunding platforms, along with their definitions and significance:

1. Total Funds Raised

• Definition: The total amount of money raised across all campaigns on the platform.
• Significance: Indicates the platform's ability to attract and support successful campaigns, reflecting overall growth and success.

2. Number of Active Campaigns

• Definition: The number of crowdfunding campaigns currently running on the platform.
• Significance: Shows the platform's popularity and ability to attract campaign creators.

3. Success Rate

• Definition: The percentage of campaigns that reach their funding goals.
• Significance: Reflects the platform's effectiveness in helping campaigns succeed, which can attract more creators and backers.

4. Average Pledge Amount

• Definition: The average amount of money pledged per backer.
• Significance: Provides insights into the spending behavior of backers and helps in setting realistic funding goals for campaigns.

5. Number of Backers

• Definition: The total number of individuals who have pledged money to campaigns on the platform.
• Significance: Indicates the platform's reach and popularity among potential funders.

6. Campaign Traffic

• Definition: The number of visits or views that campaigns receive.
• Significance: Helps in understanding the visibility and attractiveness of campaigns, which can be influenced by marketing and promotional efforts.

7. Conversion Rate

• Definition: The percentage of visitors who become backers.
• Significance: Measures the effectiveness of the platform and campaigns in converting interest into financial support.

8. Repeat Backer Rate

• Definition: The percentage of backers who support more than one campaign.
• Significance: Indicates user satisfaction and loyalty, as well as the overall health of the platform's community.

9. Average Campaign Duration

• Definition: The average length of time that campaigns run on the platform.
• Significance: Helps in optimizing campaign timelines to maximize success rates and platform efficiency.

10. Platform Fees Collected

• Definition: The total amount of money earned by the platform from fees charged on successful campaigns.
• Significance: Reflects the platform's revenue generation capability and financial health.

11. Customer Support Response Time

• Definition: The average time taken to respond to customer inquiries and issues.
• Significance: A key indicator of customer service quality and user satisfaction.

12. User Growth Rate

• Definition: The rate at which new users (campaign creators and backers) are joining the platform.
• Significance: Indicates the platform's growth potential and market penetration.

13. Engagement Rate

• Definition: The level of interaction users have with the platform, such as comments, shares, and updates.
• Significance: Reflects the activity and vibrancy of the platform's community.

14. Campaign Approval Rate

• Definition: The percentage of submitted campaigns that are approved to go live on the platform.
• Significance: Balances quality control with inclusivity, impacting the platform's reputation and attractiveness.

15. Funding Velocity

• Definition: The rate at which funds are pledged over a specific period.
• Significance: Helps in predicting campaign success and understanding backer behavior.

16. Mobile vs. Desktop Traffic

• Definition: The percentage of users accessing the platform via mobile devices compared to desktop computers.
• Significance: Guides user experience design and marketing strategies, ensuring accessibility across devices.

17. Geographic Distribution of Backers

• Definition: The geographical locations of backers.
• Significance: Helps in targeting marketing efforts and understanding the platform's reach.

18. Refund Rate

• Definition: The percentage of pledged funds that are refunded to backers.
• Significance: Indicates potential issues with campaign delivery or platform trustworthiness.

19. Social Media Mentions

• Definition: The number of times the platform or its campaigns are mentioned on social media.
• Significance: Reflects brand awareness and the effectiveness of social media marketing efforts.

20. Platform Downtime

• Definition: The amount of time the platform is unavailable due to technical issues.
• Significance: Affects user experience and trust, highlighting the importance of platform reliability.

21. Churn Rate

• Definition: The percentage of users who stop using the platform over a specific period.
• Significance: Indicates user retention and satisfaction, helping to identify and address potential issues.

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How Is Artificial Intelligence Used in Crowdfunding?

Artificial Intelligence (AI) has a significant impact on the crowdfunding industry, enhancing various aspects of platform operations, user experience, and campaign success. Here are some key ways AI is used in crowdfunding:

1. Campaign Analysis and Predictive Analytics

• Usage: AI algorithms analyze past campaign data to predict the success of new campaigns. These predictions can be based on factors such as campaign goals, descriptions, videos, and rewards.
• Impact: Helps campaign creators optimize their strategies and set realistic goals, increasing the likelihood of success.

2. Personalized Recommendations

• Usage: AI-driven recommendation systems suggest campaigns to potential backers based on their previous behavior, interests, and preferences.
• Impact: Enhances user engagement and increases the chances of campaign funding by connecting backers with relevant projects.

3. Fraud Detection and Prevention

• Usage: AI systems monitor transactions and campaign activities to detect fraudulent behavior or suspicious patterns.
• Impact: Ensures platform integrity and trust by preventing scams and protecting both backers and creators.

4. Natural Language Processing (NLP) for Content Optimization

• Usage: NLP algorithms analyze campaign descriptions, updates, and comments to provide insights and recommendations for improving content quality.
• Impact: Enhances the appeal and clarity of campaign materials, making them more likely to attract and retain backers.

5. Automated Customer Support

• Usage: AI-powered chatbots and virtual assistants handle customer inquiries, provide support, and resolve common issues.
• Impact: Improves user experience by offering quick and efficient support, freeing up human resources for more complex tasks.

6. Sentiment Analysis

• Usage: AI tools analyze social media posts, comments, and reviews to gauge public sentiment towards campaigns.
• Impact: Provides real-time feedback to campaign creators, allowing them to adjust their strategies based on public perception.

7. Dynamic Pricing and Incentives

• Usage: AI models analyze backer behavior and market trends to optimize pricing strategies and reward structures.
• Impact: Maximizes campaign funding by adjusting prices and incentives to align with backer preferences and market conditions.

8. Market and Trend Analysis

• Usage: AI analyzes large datasets to identify emerging trends and market demands.
• Impact: Helps platform administrators and campaign creators stay ahead of trends, creating campaigns that align with current interests.

9. Enhanced Marketing and Advertising

• Usage: AI-driven marketing tools create targeted advertising campaigns based on user data and behavior.
• Impact: Increases the effectiveness of marketing efforts, reaching the right audience with personalized messages and ads.

10. Backer Segmentation

• Usage: AI algorithms segment backers into different groups based on their behavior, preferences, and demographics.
• Impact: Enables more targeted communication and marketing efforts, improving backer engagement and retention.

11. Performance Monitoring and Optimization

• Usage: AI tools continuously monitor campaign performance, providing real-time insights and recommendations for improvement.
• Impact: Allows for dynamic adjustments to campaign strategies, optimizing performance and increasing success rates.

12. Enhanced User Experience

• Usage: AI personalizes the user interface and experience based on individual preferences and behavior.
• Impact: Improves user satisfaction and engagement, encouraging more frequent and meaningful interactions with the platform.

13. Content Moderation

• Usage: AI systems automatically review and moderate user-generated content, such as comments and updates, to ensure compliance with platform guidelines.
• Impact: Maintains a safe and respectful environment, enhancing the overall user experience.

14. Predictive Modeling for Funding Milestones

• Usage: AI models predict critical funding milestones, such as the likelihood of reaching a certain percentage of the funding goal within a given timeframe.
• Impact: Provides valuable insights to campaign creators, helping them plan promotional activities and manage backer expectations.

15. Feedback Analysis

• Usage: AI analyzes feedback from backers and creators to identify common issues and areas for improvement.
• Impact: Enables continuous platform enhancement based on user feedback, fostering a better overall experience.

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