FlowFix Team

5 Must‑Have FlowFix Dashboards for Real‑Time Revenue Tracking

May 9, 2025

5 Must‑Have FlowFix Dashboards for Real‑Time Revenue Tracking

5 Must‑Have FlowFix Dashboards for Real‑Time Revenue Tracking

FanFix agencies and creators live and die by revenue data—subscription sign‑ups, PPV sales, tips, and churn rates. Rather than manually exporting spreadsheets, FlowFix’s real‑time dashboards surface key metrics instantly, allowing you to pivot strategies on the fly. In this article, we’ll build five must‑have dashboards: Daily Subscription Overview, PPV Revenue Breakdown, Creator Churn Tracker, Message ROI Comparison, and Top‑Earning Creators Leaderboard. Each dashboard template comes with setup instructions, recommended filters, and sample visualizations to help your team make data‑driven decisions in 2025.

Why Real‑Time Revenue Dashboards Matter

1. Immediate Visibility: Spot sudden dips in subscriptions or spikes in PPV revenue before a full day’s worth of data is processed.

2. Actionable Insights: If a particular creator’s revenue drops 15% in 24 hours, you can investigate and adjust marketing or outreach.

3. Competitive Advantage: While competitors wait for weekly reports, you’re responding in real time, optimizing campaigns, and maximizing earnings.

FlowFix’s dashboards refresh automatically, eliminating manual data pulls and enabling proactive decision-making.

Dashboard 1 – Daily Subscription Overview

1.1 Key Metrics to Display

- New Subscriptions: Count of new subscribers per day (line chart).

- Cancellations: Count of canceled subscriptions per day (bar chart).

- Net Subscription Change: New minus canceled (calculated field).

- Average Subscription Value: Average monthly revenue per subscriber (gauge widget).

1.2 Setting Up the Dashboard

1. Navigate to “Dashboards” → “New Dashboard.”

2. Add Widget: Line Chart

- Data Source: `subscriptions` table.

- Metric: `COUNT(IF subscription_status == "active" AND date_created == TODAY, 1, 0)`.

- Dimension: `date_created` (Group by day).

- Title: “New Subscriptions (Daily).”

3. Add Widget: Bar Chart—Cancellations

- Metric: `COUNT(IF subscription_status == "canceled" AND cancel_date == TODAY, 1, 0)`.

- Dimension: `cancel_date` (Group by day).

- Title: “Cancellations (Daily).”

4. Add Widget: Number Card—Net Change

- Formula: `New Subscriptions (Today) – Cancellations (Today)`.

- Title: “Net Subscription Change.”

5. Add Widget: Gauge—Average Subscription Value

- Metric: `SUM(subscription_amount_last30days) / COUNT(subscriptions_last30days)`.

- Range: Set gauge from $0 to $100 (adjust based on average).

- Title: “Avg. Subscription Value (Last 30 Days).”

1.3 Filters and Alerts

- Date Range Filter: Top right corner—allow “Last 7 Days,” “Last 30 Days,” and custom range.

- Creator Filter: Add dropdown to filter by individual creator or agency team.

- Alert: If net subscription change < 0 for 2 consecutive days, send Slack alert to “Revenue Team.”

Dashboard 2 – PPV Revenue Breakdown

2.1 Key Metrics to Display

- Total PPV Revenue (Daily): Sum of `ppv_price` for all purchases.

- PPV Count by Category: Pie chart showing distribution by PPV category (e.g., “Behind‑the‑Scenes,” “Exclusive Photos,” “Live Shows”).

- Average PPV Price: Line chart showing average price per transaction.

- Top 5 PPV Performers: Table listing creators by highest daily PPV earnings.

2.2 Setting Up the Dashboard

1. Add Widget: Line Chart

- Data Source: `ppv_transactions` table.

- Metric: `SUM(ppv_price)`.

- Dimension: `transaction_date` (Group by day).

- Title: “Daily PPV Revenue.”

2. Add Widget: Pie Chart—PPV Category Distribution

- Metric: `COUNT(*)`.

- Dimension: `ppv_category`.

- Title: “PPV Revenue by Category (Today).”

3. Add Widget: Line Chart—Average PPV Price

- Metric: `AVG(ppv_price)`.

- Dimension: `transaction_date`.

- Title: “Average PPV Price (Last 30 Days).”

4. Add Widget: Table—Top 5 PPV Performers

- Columns: `creator_name`, `SUM(ppv_price) as total_ppv_revenue`.

- Sort By: `total_ppv_revenue DESC`.

- Limit: 5.

- Title: “Top 5 PPV Revenue Creators (Daily).”

2.3 Filters and Alerts

- Date Range Filter: Allow “Today,” “Last 7 Days,” “Last 30 Days.”

- PPV Category Filter: Dropdown to isolate revenue by category.

- Alert: If total PPV revenue today < $50 compared to average last 7 days, send email to content strategist.

Dashboard 3 – Creator Churn Tracker

3.1 Key Metrics to Display

- Churn Rate (Monthly): Percentage of subscribers churned each month (`canceled / total_subscribers`).

- Churned Fans by Reason: Pie chart showing reasons for cancellation (e.g., “Too Pricey,” “Not Enough Content,” “Technical Issues”).

- Top 10 Churned Creators: Table listing creators with highest subscriber churn count.

- Active vs. Inactive Subscription Trend: Stacked bar chart showing active vs. canceled subscriptions over time.

3.2 Setting Up the Dashboard

1. Add Widget: Gauge—Monthly Churn Rate

- Formula: `(COUNT(IF subscription_status == "canceled" AND cancel_date in last30days, 1, 0) / COUNT(active_subscriptions_end_of_last30days)) * 100`.

- Title: “Monthly Churn Rate (%).”

2. Add Widget: Pie Chart—Churn Reasons

- Metric: `COUNT(*)`.

- Dimension: `cancel_reason`.

- Title: “Churned Fans by Reason (Last 30 Days).”

3. Add Widget: Table—Top 10 Churned Creators

- Columns: `creator_name`, `COUNT(IF subscription_status == "canceled" AND cancel_date in last30days, 1, 0) as churn_count`.

- Sort By: `churn_count DESC`.

- Limit: 10.

- Title: “Top 10 Churned Creators (Last 30 Days).”

4. Add Widget: Stacked Bar Chart—Active vs. Inactive

- Metrics:

- Active: `COUNT(IF subscription_status == "active" AND date in range, 1, 0)`

- Inactive: `COUNT(IF subscription_status == "canceled" AND date in range, 1, 0)`

- Dimension: `month`.

- Title: “Active vs. Canceled Subscriptions (Last 6 Months).”

3.3 Filters and Alerts

- Date Range: Last 6 months, Last 12 months, Custom.

- Creator Filter: Ability to isolate churn metrics for a single creator.

- Alert: If churn rate > 10% in a month, trigger a Slack notification to the retention team.

Dashboard 4 – Message ROI Comparison

4.1 Key Metrics to Display

- Revenue per Message Sent: Total revenue generated in 7 days after each campaign divided by number of messages sent.

- Top-Performing Scripts: Table listing script names with highest ROI (revenue/messages).

- Open & Reply Rates vs. Revenue: Scatter plot correlating open rate (x-axis) and revenue generated (y-axis).

- Cost per Acquisition (CPA): For paid outreach campaigns (if you run ads), show CPA vs. ROI.

4.2 Setting Up the Dashboard

1. Add Widget: Number Card—Revenue per Message

- Formula: `(SUM(revenue_last7days_after_campaign) / COUNT(messages_sent_last7days))`.

- Title: “Avg. Revenue per Message (Last 7 Days).”

2. Add Widget: Table—Top-Performing Scripts

- Columns: `script_name`, `(SUM(revenue_last7days) / COUNT(messages_sent)) as ROI`.

- Sort By: `ROI DESC`.

- Limit: 10.

- Title: “Top 10 Messaging Scripts by ROI.”

3. Add Widget: Scatter Plot—Open Rate vs. Revenue

- X-Axis: `AVG(open_rate)`

- Y-Axis: `SUM(revenue_7days_after_send)`

- Point Label: `script_name` or `campaign_name`

- Title: “Open Rate vs. Revenue (Last 30 Days).”

4. Add Widget: Line Chart—CPA vs. ROI (If Applicable)

- Metric 1: `SUM(ad_spend) / COUNT(new_subscribers_from_ads)` (CPA).

- Metric 2: `SUM(revenue_from_ads_campaigns)` (ROI).

- Dimension: `campaign_date`.

- Title: “Ad CPA vs. Revenue (Last 90 Days).”

4.3 Filters and Alerts

- Campaign Filter: Choose a single campaign or script.

- Date Range: Last 7 Days, Last 30 Days, Last 90 Days.

- Alert: If ROI < $0.50 per message for any script, send email to growth team.

Dashboard 5 – Top-Earning Creators Leaderboard

5.1 Key Metrics to Display

- Daily Top Earners: Table listing top 5 creators by total daily revenue (subscriptions + PPV + tips).

- Weekly Growth Rate: Bar chart showing percentage revenue growth week over week for top 10 creators.

- Category Breakdown: For each top creator, show what percentage of revenue comes from subscriptions vs. PPV vs. tips (stacked bar).

- Churn-Adjusted Lifetime Value: Scatter plot of Creator LTV vs. churn rate (to identify high‑value, stable creators).

5.2 Setting Up the Dashboard

1. Add Widget: Table—Top 5 Daily Earners

- Columns: `creator_name`, `SUM(daily_revenue) as total`.

- Sort By: `total DESC`.

- Limit: 5.

- Title: “Top 5 Earners (Today).”

2. Add Widget: Bar Chart—Weekly Growth Rate

- Metric: `(SUM(revenue_this_week) – SUM(revenue_last_week)) / SUM(revenue_last_week) * 100`.

- Dimension: `creator_name`.

- Title: “Weekly Revenue Growth (%) for Top 10 Creators.”

3. Add Widget: Stacked Bar Chart—Revenue Sources

- Metrics:

- Subscriptions: `SUM(subscription_revenue)`

- PPV: `SUM(ppv_revenue)`

- Tips: `SUM(tip_revenue)`

- Dimension: `creator_name` (limit to top 5).

- Title: “Revenue Breakdown by Source (Top 5 Creators).”

4. Add Widget: Scatter Plot—LTV vs. Churn

- X-Axis: `churn_rate`

- Y-Axis: `lifetime_value`

- Point Label: `creator_name`.

- Title: “Creator LTV vs. Churn Rate.”

5.3 Filters and Alerts

- Timeframe Filter: “Today,” “Last 7 Days,” “Last 30 Days.”

- Category Filter: Option to filter only “Subscription revenue” or “PPV revenue.”

- Alert: If any creator’s week‑over‑week growth falls below –10%, send Slack alert to account manager for proactive outreach.

Best Practices for Dashboard Usage

1. Keep Dashboards Focused

- Limit each dashboard to 5–6 widgets to avoid cognitive overload.

- Name dashboards clearly (e.g., “Daily Subscription Overview,” “PPV Revenue Insights”).

2. Set Appropriate Refresh Intervals

- For truly “real‑time” needs, set dashboards to refresh every hour. For lower‑priority metrics, once daily is sufficient.

- Balance server load—avoid refreshing dozens of dashboards every minute.

3. Share & Collaborate

- Use FlowFix’s sharing feature to grant “View Only” access to stakeholders—finance team, content strategists, and creators.

- Schedule automated PDF exports (weekly) of critical dashboards and email to your executive team.

4. Archive Historical Data

- FlowFix automatically retains 12 months of granular data. For older data, consider exporting to a data warehouse (e.g., Google BigQuery) to free up space.

Conclusion

Building these five must‑have dashboards in FlowFix equips FanFix agencies with instant visibility into the metrics that matter most—subscriptions, PPV sales, churn rates, messaging ROI, and top‑earning creators. By customizing each widget, applying relevant filters, and setting up alerts, you transform raw data into actionable insights. The result? Faster pivots, improved creator support, and maximized revenue in 2025’s fast‑paced creator economy.

Next Steps:

1. Create Each Dashboard: Follow the setup steps above; aim to have all five ready within one week.

2. Train Your Team: Host a 30‑minute walkthrough to show account managers and finance staff how to read and interpret each widget.

3. Refine Over Time: Revisit dashboards quarterly—add new KPIs (e.g., “TikTok‑influenced revenue”) and retire metrics that no longer serve your strategy.

With these real‑time dashboards at your fingertips, your agency will not only stay ahead of trends but lead the way in data‑driven creator growth.

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