Cometly vs Power BI in 2026: B2B Ad Attribution vs Enterprise Business Intelligence
One traces a single ad click to closed-won ARR in your CRM, sold only after a sales call. The other is Microsoft's general-purpose BI platform, free to start and $14 a user once you need to share.
Power BI publishes full pricing from free (Power BI Desktop) up to $24/user/month for Premium Per User. Cometly discloses no pricing anywhere and requires a sales call to get a quote.
Cometly auto-detects and attributes traffic from ChatGPT, Gemini, Grok, and Google AI Overviews as named channels. Power BI has no equivalent AI referral traffic detection, since it ingests whatever data you connect rather than tracking ad clicks itself.
Power BI's Copilot in Microsoft Fabric answers natural-language questions grounded in your own semantic model, but only from the $24/user/month Premium Per User tier up. Cometly's Ask AI ships on both its tiers, scoped specifically to attribution data.
Cometly is purpose-built for B2B SaaS companies connecting paid ad spend to closed-won ARR. Power BI is a company-wide BI platform used across finance, operations, and sales, not a marketing attribution tool.
Power BI Desktop is completely free with no time limit or feature restriction for building reports locally. Cometly has no advertised free trial or free tier.
Power BI Embedded lets developers brand reports as their own product under capacity-based pricing. Cometly does not offer white-label delivery on any plan.
Cometly's server-side Conversion API recovers 15 to 30 percent more conversion events than pixel-only tracking. Power BI has no comparable ad-tracking layer of its own, since it reports on data you connect rather than tracking clicks directly.
Cometly and Power BI rarely compete for the same budget line, but they get compared anyway because both promise to answer "what is our marketing actually producing." Cometly is a specialist: it tracks a single ad click through booked demo, deal created, and closed-won ARR, calculated against real CRM deal values rather than platform-reported conversions. Power BI is a generalist: it is Microsoft's business intelligence platform, built to connect any data source, from Salesforce to a spreadsheet, into shared dashboards across an entire company, not just the marketing team. One requires a sales call and discloses no pricing. The other has a free desktop app and a published $14-a-month tier. This comparison is for anyone trying to decide whether they need a purpose-built attribution tool or whether a general BI platform can do the job with the right data connections.
The tools at a glance
Cometly
B2B SaaS ad attribution that connects every campaign dollar to pipeline created and closed-won ARR
Cometly tracks the customer journey from first ad impression through booked demo, deal created, and closed-won ARR, then calculates return against actual CRM deal values instead of platform-reported conversions. That distinction matters most for B2B SaaS, where a lead that books a demo today might not close for 60 or 90 days, well outside the window most ad platforms attribute against by default.
A server-side Conversion API runs alongside the standard pixel, sending conversion events directly to ad platforms and recovering sessions that ad blockers or iOS tracking restrictions would otherwise erase, typically 15 to 30 percent more conversion volume than pixel tracking alone catches. Cometly also auto-detects and attributes traffic from ChatGPT, Gemini, Grok, and Google AI Overviews, showing those channels next to Google Ads and LinkedIn Ads with the same pipeline and closed-won ARR metrics applied.
The catch is access. There is no public pricing, billing is usage-based on website sessions, and getting a number requires a sales call. MCP integration for Claude, CRM and warehouse sync with Snowflake and BigQuery, and the Cometly API are all locked to Enterprise, leaving the Core plan as the attribution product without the newer AI and data-infrastructure layer.
| Feature | Core Usage-based, contact for pricing | Enterprise Custom |
|---|---|---|
| Pricing model | Based on website sessions | Custom |
| Server-side tracking (Conversion API) | ✓ | ✓ |
| Multi-touch attribution | ✓ | ✓ |
| Ask AI | ✓ | ✓ |
| 70+ integrations | ✓ | ✓ |
| CRM and warehouse sync | ✗ | ✓ |
| MCP integration | ✗ | ✓ |
| Cometly API | ✗ | ✓ |
Power BI
Microsoft business intelligence platform with self-service reporting, AI-assisted analysis, and deep integration across the Microsoft stack
Power BI is Microsoft's business intelligence platform for building interactive reports and dashboards from any data source, part of the Microsoft Fabric ecosystem alongside Excel, Azure, Teams, and SharePoint. It connects to hundreds of sources through Power Query, including SQL databases, Salesforce, Google Analytics, and data warehouses like Snowflake and BigQuery, then lets teams build certified, reusable metrics so everyone in a company works from the same definition of revenue or conversion rate.
Copilot in Microsoft Fabric lets users ask questions about their data in plain language and get generated reports and summaries, grounded in the organization's own semantic model rather than general web knowledge. That AI layer sits behind the Premium Per User tier at $24/user/month, above the $14/user/month Pro tier that covers basic publishing and sharing. Power BI Desktop, the report-building application itself, is free with no time limit.
What Power BI does not do is ad attribution. It has no pixel, no Conversion API, and no built-in detection of AI referral traffic like ChatGPT or Google AI Overviews. It is a destination for data you already have, not a tool that captures ad clicks or website sessions itself, so any attribution modeling has to happen upstream before the data lands in a Power BI report.
| Feature | Free $0 | Pro $14/user/mo | Premium Per User $24/user/mo | Embedded Variable |
|---|---|---|---|---|
| Create reports with Power BI Desktop | ✓ | ✓ | ✓ | ✓ |
| Publish and share reports | ✗ | ✓ | ✓ | ✓ |
| Copilot AI assistance | ✗ | ✗ | ✓ | With capacity |
| Larger dataset model sizes | ✗ | ✗ | ✓ | ✓ |
| Paginated reports | ✗ | ✗ | ✓ | ✓ |
| Brand reports as your own (Embedded) | ✗ | ✗ | ✗ | ✓ |
| Included in Microsoft 365 E5 | ✗ | ✓ | ✗ | ✗ |
Head-to-head feature comparison
| Feature | ||
|---|---|---|
| Primary use case | B2B SaaS ad attribution, first touch to closed-won ARR | General-purpose business intelligence and dashboarding |
| Pricing transparency | None (sales call required for a quote) | Full public pricing, four published tiers |
| Starting price | Usage-based (session volume), custom quote | $0/month (Power BI Desktop) |
| CRM / closed-won revenue attribution | Yes (core feature, tied to actual CRM deal values) | No (BI reporting layer, not an ad attribution platform) |
| AI referral traffic detection (ChatGPT, Gemini, etc.) | Yes (ChatGPT, Gemini, Grok, Google AI Overviews) | No |
| Native integrations | 70+ | Hundreds via Power Query |
| AI-assisted analysis / natural language querying | Yes (Ask AI, both tiers, scoped to attribution data) | Yes (Copilot, Premium Per User and above, $24/user/mo) |
| MCP integration | Yes (Enterprise only, for Claude) | Not detailed in current product data |
| Server-side / Conversion API tracking | Yes (Conversion API, both tiers) | No |
| Data warehouse sync | Yes (Enterprise only: Snowflake, BigQuery) | Yes (Snowflake, BigQuery, and more via Power Query) |
| White-label delivery | No | Yes (Power BI Embedded, capacity-based pricing) |
| Free tier | No | Yes (Power BI Desktop) |
| API access | Enterprise only | Yes (Power BI Embedded, REST APIs) |
| Requires sales call to buy | Yes, every tier | No (self-serve signup for Desktop, Pro, and Premium Per User) |
Considering AI visibility monitoring alongside Cometly or Power BI?

Cometly detects when a visitor arrived from ChatGPT, Gemini, Grok, or Google AI Overviews and attributes the resulting pipeline, but it does not tell you what those AI engines actually say about your brand, only that traffic came from them. Power BI has no AI traffic detection at all; it reports on whatever data you connect. Neither answers the upstream question of whether your brand shows up when someone asks an AI engine to recommend a tool in your category. AI Peekaboo tracks brand mentions across ChatGPT, Gemini, Perplexity, and Google AI Overviews at the prompt level, with a read and write API on every plan from $50 a month, and it can feed that data into a Power BI dashboard just as easily as any other connected source.
Read the AI Peekaboo review →Which should you choose?
These tools solve different layers of the same problem. Cometly answers one narrow, high-stakes question well: whether a specific ad campaign eventually became closed-won revenue for a B2B SaaS company with a real CRM and sales cycle. Power BI answers a much broader question across an entire organization: what does the data say, no matter which department it came from. A marketing team obsessed with attribution accuracy needs Cometly's pixel and Conversion API. A company that needs one shared source of truth across finance, sales, and marketing needs Power BI, and can pipe Cometly's attribution data into it as just one of hundreds of connected sources.
Bottom line
Book the Cometly demo and bring your monthly session volume if you are a B2B SaaS company that cannot currently connect a specific campaign to a closed-won deal 60 to 90 days later. Start with Power BI Desktop, which is free, if you want to explore company-wide BI before committing budget, then move to Pro at $14/user/month once you need to share reports, or Premium Per User at $24/user/month once Copilot matters. Teams that need both attribution accuracy and a shared BI layer typically end up running Cometly for ad attribution and feeding that data into Power BI for everything else.
Frequently asked questions
Can Power BI replace Cometly for ad attribution?
Not on its own. Power BI has no pixel, no Conversion API, and no ad-click tracking of its own, so it cannot capture the first-touch-to-closed-won journey the way Cometly does. Power BI can display attribution data if you connect it from another source, but it does not generate that attribution itself.
Is Power BI cheaper than Cometly?
On any measure you can actually check, yes. Power BI Desktop is free and Pro starts at $14 a user a month with published pricing up to $24 a user for Premium Per User. Cometly discloses no pricing anywhere and bills usage-based on website sessions after a sales call, so there is no public number to compare against.
Does Cometly track traffic from AI tools like ChatGPT?
Yes. Cometly automatically identifies and attributes traffic from ChatGPT, Gemini, Grok, and Google AI Overviews, showing them as named channels alongside Google Ads and LinkedIn Ads with the same pipeline and closed-won ARR metrics applied. Power BI has no equivalent AI traffic detection feature.
Which tool has AI-assisted analysis built in?
Both do, but scoped differently. Power BI's Copilot in Microsoft Fabric answers general business questions grounded in your semantic model, available from the $24/user/month Premium Per User tier. Cometly's Ask AI is included on both its tiers but is scoped specifically to attribution questions like campaign ROAS and closed-won ARR.
Can I use Power BI and Cometly together?
Yes, and it is a common setup. Cometly's Enterprise plan includes Snowflake and BigQuery sync, which means its attribution data can land in a data warehouse that Power BI then connects to via Power Query, letting a company report on ad attribution alongside every other data source in one dashboard.
Is Power BI worth it for a small marketing team with no BI analyst?
Power BI Desktop is free to try, and the visual, no-code Power Query interface handles most data preparation without writing DAX. Expect a few weeks of learning curve before a non-technical team is building reports confidently. For a small team whose only question is ad attribution accuracy, Cometly answers that specific question more directly.

