Generative video looks like a software business until the compute bill arrives. Revenue per project is easy to report. What decides whether the firm survives is the gap between that revenue and what the render actually cost – and how many of the videos it generated a client accepted rather than sent back. The AI Video Generation Firms Dashboard in Excel puts both on the same pages: 5 dashboard pages, 20 charts, page-synced slicers on Year, Month, Firm, Region and Client Type, and a sample dataset of 500 projects and 65,500 generated videos across 8 firms, 7 video categories, 4 output resolutions, 4 model tiers and 5 client types.
This article walks through each page, explains why compute cost belongs beside revenue on every view, compares the workbook with a Sheets build and a BI deployment, and is direct about what it does not do. The template is available here.
Key Features of the AI Video Generation Firms Dashboard
- Compute cost beside revenue, everywhere. Total Revenue vs Total Compute Cost appears by month, by quarter and by firm – the pairing that separates a growing business from a growing loss.
- Profit margin per firm. All eight ranked on calculated margin. In the sample data the spread runs from roughly 55% to 77%.
- Approval rate, not just output. Total Videos Generated vs Total Approved Videos by Firm – because a high generation count with a low approval rate is compute spent twice.
- Quality score as a star rating, by firm and against approval rate by client type AI Video Generation Firms Dashboard in Excel
- Render minutes by output resolution. 1080p, 4K, 720p and 8K on volume and render time, which is where the compute budget quietly goes.
- Model tier economics. Revenue against project count across Lite, Standard, Pro and Enterprise.
- Subscription plan analysis. Revenue against credits used across Monthly, Annual, Pay-As-You-Go and Free Trial.
- Video category performance. Revenue against render minutes across seven content types.
- Delivery discipline. On-time delivery by region, delivery status against videos generated, and a full project status breakdown AI Video Generation Firms Dashboard in Excel
Dashboard Pages Explanation
Page 1 – Overview
Five KPI cards: Total Revenue, Total Videos Generated, Net Gross Profit, Total Projects and Avg Quality Score. Below them, Approval Rate % by Firm, Total Revenue by Region, an overall Approval Rate % gauge, and Total Revenue vs Total Compute Cost by Month. Net gross profit sitting on the same row as total revenue is deliberate – in this sector the two are far enough apart that showing revenue alone is misleading.
Page 2 – Revenue Trend
Total Revenue vs Net Gross Profit by Month, Revenue vs Net Gross Profit by Client Type, Total Revenue by Year, and Total Revenue vs Total Compute Cost by Quarter. The client-type chart repays study: enterprise work carries the largest absolute margin, while the revenue-to-profit gap tightens as you move down through agency, SMB, startup and creator accounts.
Page 3 – Firm Analysis
Total Revenue vs Total Compute Cost by Firm, Profit Margin % by Firm, Avg Quality Score by Firm, and Total Videos Generated vs Total Approved Videos by Firm. Four views of the same eight competitors is enough to rank them honestly, and the four rankings rarely agree – which is the point.
Page 4 – Content Insights
Revenue vs Credits Used by Subscription Plan, Videos Generated vs Render Minutes by Output Resolution, Total Revenue vs Total Projects by Model Tier, and Total Revenue vs Total Render Minutes by Video Category. This is the page connecting what customers ask for to what it costs to produce. In the sample data 1080p carries the most volume while 4K consumes render minutes out of all proportion to its share – a pricing decision waiting to be made.
Page 5 – Delivery Quality
On-Time Delivery % by Region, Projects vs Videos Generated by Delivery Status, Total Projects by Status across Delivered, In Production, Queued, Failed and Cancelled, and Avg Quality Score vs Approval Rate % by Client Type AI Video Generation Firms Dashboard in Excel
Behind the pages
A data sheet holds one row per project and a support sheet carries the pivot tables the charts read. Replace the sample rows, keep the headers, and use Data then Refresh All – Microsoft’s guide to refreshing PivotTable data covers the mechanics.
AI Video Generation Firms Dashboard vs. a Google Sheets Build vs. a BI Platform – Feature Comparison
| This Excel dashboard | A Google Sheets build | A BI platform deployment | |
|---|---|---|---|
| Cost | Under 20 once | Free, plus your build time | Licence plus an analyst’s time |
| Platform | Microsoft Excel, desktop | Google Sheets, any browser | Vendor web app |
| Setup time | Under 30 minutes with your export | 2 to 4 days for five pages | Weeks, including a data model |
| Real-time collaboration | Via OneDrive co-authoring | Yes, native sharing | Per paid seat |
| Mobile access | Limited | Yes, free Sheets app | Yes |
| Customizable metrics | Yes, every pivot and chart | Yes, if you build them | Yes, with development effort |
| Compute cost against revenue | Built in, four ways | Build it yourself | Only if cost data is modelled |
| Works offline | Yes | No | No |
| Time to a first usable answer | The same afternoon | A few days | Weeks |
Who Should Use This Template
It fits founders and operators of generative video studios who need unit economics rather than headline revenue; analysts benchmarking several AI video vendors on identical measures; agency owners deciding which model tier and output resolution to standardise on; investors reviewing a studio’s margin after compute; and consultants sizing the AI video market with structured comparison data.
It is not live pipeline monitoring, it does not supply market data – the sample dataset is illustrative and you bring your own – and below a few dozen projects no chart here will show a reliable pattern AI Video Generation Firms Dashboard in Excel
Real-World Use Cases
Finding the unprofitable tier. Revenue vs Net Gross Profit by Client Type showed enterprise work carrying the bulk of both, while creator accounts sat at a fraction of the volume on a proportionally thinner margin. The studio kept the creator tier as a funnel and stopped treating it as a revenue line.
Setting a resolution surcharge. Videos Generated vs Render Minutes by Output Resolution showed 4K consuming render time far out of proportion to its share of output. Flat per-video pricing was replaced with a resolution-based one.
Benchmarking eight competitors. Profit margin spread from about 55% to 77% on comparable revenue. Cross-referencing approval rate showed the weakest-margin firm also had the weakest approval rate – the same problem appearing twice.
Advantages of the AI Video Generation Firms Dashboard
- Unit economics, not vanity metrics. Compute cost, margin and approval rate on the same pages as revenue.
- No macros. A plain .xlsx workbook – no security prompt, nothing for corporate policy to block.
- Vendor-neutral. It reads a data sheet, so several firms or platforms can be compared in one view.
- Fast to a first answer. Paste, refresh, read – the same afternoon rather than the next quarter.
- Self-contained. A single file you can send to an investor without provisioning a dashboard seat AI Video Generation Firms Dashboard in Excel
Opportunities for Improvement
Stated plainly: there is no live data connection, so every refresh is an export and a paste. Compute cost has to exist in your data – if your finance system does not attribute it per project, the four most valuable charts will be empty, and that attribution is the real work. There is no per-model or per-GPU breakdown below the model-tier level. Customer churn and retention are not modelled, so this is a production and margin view rather than a full SaaS analysis. And the sample firm names are illustrative, not market data AI Video Generation Firms Dashboard in Excel
Best Practices
- Get compute cost per project before anything else. Half this dashboard depends on it, and it is usually the field nobody has attributed yet.
- Keep the column headers exactly as they are when pasting – the pivots and charts are bound to them.
- Refresh All after every paste, or a pivot will quietly keep showing last month’s figures.
- Read margin before revenue. The revenue ranking and the margin ranking are rarely the same list, and only one of them tells you what to do next.
- Track approval rate as a cost measure, not a quality one. Rejected output was still rendered and still billed to you.
- Rerun monthly and keep the history. Compute prices and model efficiency both move; a single snapshot will mislead.
Explore Relevant Templates
- AI Video Generation Firms Dashboard in Excel – the template covered in this article.
- AI Chatbot Providers Dashboard in Excel – the same shape for conversational AI vendors.
- AI Chatbot Providers Dashboard in Power BI – with drillthrough and tooltips.
- SaaS Development Dashboard in Excel – the software side of an AI business.
- Sentiment Analysis Startups Dashboard in Power BI – another AI-sector market view.
Frequently Asked Questions
Which version of Excel do I need?
Excel 2016 or later on Windows, or Microsoft 365. Ordinary pivot tables, charts and slicers throughout AI Video Generation Firms Dashboard in Excel
Are there macros?
No. It is a plain .xlsx workbook.
Does it come with real market data?
No. The sample dataset of 500 projects makes every chart work out of the box, but the firm names and figures are illustrative. Bring your own project export or your own research.
What data do I need to supply?
One row per project with revenue, compute cost, videos generated, approved videos, render minutes, quality score, firm, client type, region, subscription plan, model tier, output resolution, video category, delivery status and date AI Video Generation Firms Dashboard in Excel
Can I add my own firms, tiers or video categories?
Yes. They are values in your data, not hard-coded lists. Paste, refresh, and the charts and slicers pick up the new names.
Can I use it in Google Sheets?
Uploading converts the data but the slicer and chart formatting will not survive intact. It is built for Excel AI Video Generation Firms Dashboard in Excel
Can I rebrand the colours?
Yes – standard Excel chart formatting with a single accent colour AI Video Generation Firms Dashboard in Excel
About the Author
Built by PK – Microsoft Certified Professional with 15+ years of Excel, Google Sheets, and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels. Every template is hand-built and tested before release.
Conclusion
Generative video reporting still tends to stop at revenue and videos produced, which are the two numbers least likely to predict whether the business works. Compute cost, margin per firm, approval rate and render minutes per resolution are where the answer lives, and they need to sit on the same pages to be read together. Paste in your last two years and open the Firm Analysis page; if the margin ranking disagrees with the revenue ranking, that gap is the whole story AI Video Generation Firms Dashboard in Excel
Get the template here: AI Video Generation Firms Dashboard in Excel. For walkthroughs of this and other Excel dashboard builds, subscribe to youtube.com/@PKAnExcelExpert.
